Many models¶

Introduction¶

In this chapter you're going to learn three powerful ideas that help you to work with large numbers of models with ease:

Using many simple models to better understand complex datasets.
Using list-columns to store arbitrary data structures in a data frame. For example, this will allow you to have a column that contains linear models.
Using the broom package, by David Robinson, to turn models into tidy data. This is a powerful technique for working with large numbers of models because once you have tidy data, you can apply all of the techniques that you've learned about earlier in the book.

We'll start by diving into a motivating example using data about life expectancy around the world. It's a small dataset but it illustrates how important modelling can be for improving your visualisations. We'll use a large number of simple models to partition out some of the strongest signals so we can see the subtler signals that remain. We'll also see how model summaries can help us pick out outliers and unusual trends.

The following sections will dive into more detail about the individual techniques:

In list-columns, you'll learn more about the list-column data structure, and why it's valid to put lists in data frames.
In [creating list-columns], you'll learn the three main ways in which you'll create list-columns.
In [simplifying list-columns] you'll learn how to convert list-columns back to regular atomic vectors (or sets of atomic vectors) so you can work with them more easily.
In [making tidy data with broom], you'll learn about the full set of tools provided by broom, and see how they can be applied to other types of data structure.

This chapter is somewhat aspirational: if this book is your first introduction to R, this chapter is likely to be a struggle. It requires you to have deeply internalised ideas about modelling, data structures, and iteration. So don't worry if you don't get it --- just put this chapter aside for a few months, and come back when you want to stretch your brain.

Prerequisites¶

Working with many models requires many of the packages of the tidyverse (for data exploration, wrangling, and programming) and modelr to facilitate modelling.

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library(modelr)
library(tidyverse)
library(modelr)
library(tidyverse)

Warning message in system("timedatectl", intern = TRUE):
“running command 'timedatectl' had status 1”
── Attaching packages ─────────────────────────────────────── tidyverse 1.3.1 ──

✔ ggplot2 3.3.6     ✔ purrr   0.3.4
✔ tibble  3.1.7     ✔ dplyr   1.0.9
✔ tidyr   1.2.0     ✔ stringr 1.4.0
✔ readr   2.1.2     ✔ forcats 0.5.1

── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
✖ dplyr::filter() masks stats::filter()
✖ dplyr::lag()    masks stats::lag()

gapminder¶

To motivate the power of many simple models, we're going to look into the "gapminder" data. This data was popularised by Hans Rosling, a Swedish doctor and statistician. If you've never heard of him, stop reading this chapter right now and go watch one of his videos! He is a fantastic data presenter and illustrates how you can use data to present a compelling story. A good place to start is this short video filmed in conjunction with the BBC: https://www.youtube.com/watch?v=jbkSRLYSojo.

The gapminder data summarises the progression of countries over time, looking at statistics like life expectancy and GDP. The data is easy to access in R, thanks to Jenny Bryan who created the gapminder package:

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install.packages("gapminder")
library(gapminder)
gapminder
install.packages("gapminder")
library(gapminder)
gapminder

Installing package into ‘/usr/local/lib/R/site-library’
(as ‘lib’ is unspecified)

A tibble: 1704 × 6
country	continent	year	lifeExp	pop	gdpPercap
<fct>	<fct>	<int>	<dbl>	<int>	<dbl>
Afghanistan	Asia	1952	28.801	8425333	779.4453
Afghanistan	Asia	1957	30.332	9240934	820.8530
Afghanistan	Asia	1962	31.997	10267083	853.1007
Afghanistan	Asia	1967	34.020	11537966	836.1971
Afghanistan	Asia	1972	36.088	13079460	739.9811
Afghanistan	Asia	1977	38.438	14880372	786.1134
Afghanistan	Asia	1982	39.854	12881816	978.0114
Afghanistan	Asia	1987	40.822	13867957	852.3959
Afghanistan	Asia	1992	41.674	16317921	649.3414
Afghanistan	Asia	1997	41.763	22227415	635.3414
Afghanistan	Asia	2002	42.129	25268405	726.7341
Afghanistan	Asia	2007	43.828	31889923	974.5803
Albania	Europe	1952	55.230	1282697	1601.0561
Albania	Europe	1957	59.280	1476505	1942.2842
Albania	Europe	1962	64.820	1728137	2312.8890
Albania	Europe	1967	66.220	1984060	2760.1969
Albania	Europe	1972	67.690	2263554	3313.4222
Albania	Europe	1977	68.930	2509048	3533.0039
Albania	Europe	1982	70.420	2780097	3630.8807
Albania	Europe	1987	72.000	3075321	3738.9327
Albania	Europe	1992	71.581	3326498	2497.4379
Albania	Europe	1997	72.950	3428038	3193.0546
Albania	Europe	2002	75.651	3508512	4604.2117
Albania	Europe	2007	76.423	3600523	5937.0295
Algeria	Africa	1952	43.077	9279525	2449.0082
Algeria	Africa	1957	45.685	10270856	3013.9760
Algeria	Africa	1962	48.303	11000948	2550.8169
Algeria	Africa	1967	51.407	12760499	3246.9918
Algeria	Africa	1972	54.518	14760787	4182.6638
Algeria	Africa	1977	58.014	17152804	4910.4168
⋮	⋮	⋮	⋮	⋮	⋮
Yemen, Rep.	Asia	1982	49.113	9657618	1977.5570
Yemen, Rep.	Asia	1987	52.922	11219340	1971.7415
Yemen, Rep.	Asia	1992	55.599	13367997	1879.4967
Yemen, Rep.	Asia	1997	58.020	15826497	2117.4845
Yemen, Rep.	Asia	2002	60.308	18701257	2234.8208
Yemen, Rep.	Asia	2007	62.698	22211743	2280.7699
Zambia	Africa	1952	42.038	2672000	1147.3888
Zambia	Africa	1957	44.077	3016000	1311.9568
Zambia	Africa	1962	46.023	3421000	1452.7258
Zambia	Africa	1967	47.768	3900000	1777.0773
Zambia	Africa	1972	50.107	4506497	1773.4983
Zambia	Africa	1977	51.386	5216550	1588.6883
Zambia	Africa	1982	51.821	6100407	1408.6786
Zambia	Africa	1987	50.821	7272406	1213.3151
Zambia	Africa	1992	46.100	8381163	1210.8846
Zambia	Africa	1997	40.238	9417789	1071.3538
Zambia	Africa	2002	39.193	10595811	1071.6139
Zambia	Africa	2007	42.384	11746035	1271.2116
Zimbabwe	Africa	1952	48.451	3080907	406.8841
Zimbabwe	Africa	1957	50.469	3646340	518.7643
Zimbabwe	Africa	1962	52.358	4277736	527.2722
Zimbabwe	Africa	1967	53.995	4995432	569.7951
Zimbabwe	Africa	1972	55.635	5861135	799.3622
Zimbabwe	Africa	1977	57.674	6642107	685.5877
Zimbabwe	Africa	1982	60.363	7636524	788.8550
Zimbabwe	Africa	1987	62.351	9216418	706.1573
Zimbabwe	Africa	1992	60.377	10704340	693.4208
Zimbabwe	Africa	1997	46.809	11404948	792.4500
Zimbabwe	Africa	2002	39.989	11926563	672.0386
Zimbabwe	Africa	2007	43.487	12311143	469.7093

In this case study, we're going to focus on just three variables to answer the question "How does life expectancy (lifeExp) change over time (year) for each country (country)?". A good place to start is with a plot:

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gapminder |> 
  ggplot(aes(year, lifeExp, group = country)) +
    geom_line(alpha = 1/3)
gapminder |> 
  ggplot(aes(year, lifeExp, group = country)) +
    geom_line(alpha = 1/3)

This is a small dataset: it only has ~1,700 observations and 3 variables. But it's still hard to see what's going on! Overall, it looks like life expectancy has been steadily improving. However, if you look closely, you might notice some countries that don't follow this pattern. How can we make those countries easier to see?

One way is to use the same approach as in the last chapter: there's a strong signal (overall linear growth) that makes it hard to see subtler trends. We'll tease these factors apart by fitting a model with a linear trend. The model captures steady growth over time, and the residuals will show what's left.

You already know how to do that if we had a single country:

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nz <- filter(gapminder, country == "New Zealand")
nz |> 
  ggplot(aes(year, lifeExp)) + 
  geom_line() + 
  ggtitle("Full data = ")

nz_mod <- lm(lifeExp ~ year, data = nz)
nz |> 
  add_predictions(nz_mod) |>
  ggplot(aes(year, pred)) + 
  geom_line() + 
  ggtitle("Linear trend + ")

nz |> 
  add_residuals(nz_mod) |> 
  ggplot(aes(year, resid)) + 
  geom_hline(yintercept = 0, colour = "white", size = 3) + 
  geom_line() + 
  ggtitle("Remaining pattern")
nz <- filter(gapminder, country == "New Zealand")
nz |> 
  ggplot(aes(year, lifeExp)) + 
  geom_line() + 
  ggtitle("Full data = ")

nz_mod <- lm(lifeExp ~ year, data = nz)
nz |> 
  add_predictions(nz_mod) |>
  ggplot(aes(year, pred)) + 
  geom_line() + 
  ggtitle("Linear trend + ")

nz |> 
  add_residuals(nz_mod) |> 
  ggplot(aes(year, resid)) + 
  geom_hline(yintercept = 0, colour = "white", size = 3) + 
  geom_line() + 
  ggtitle("Remaining pattern")

How can we easily fit that model to every country?

Nested data¶

You could imagine copy and pasting that code multiple times; but you've already learned a better way! Extract out the common code with a function and repeat using a map function from purrr. This problem is structured a little differently to what you've seen before. Instead of repeating an action for each variable, we want to repeat an action for each country, a subset of rows. To do that, we need a new data structure: the nested data frame. To create a nested data frame we start with a grouped data frame, and "nest" it:

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by_country <- gapminder |> 
  group_by(country, continent) |> 
  nest()

by_country
by_country <- gapminder |> 
  group_by(country, continent) |> 
  nest()

by_country

A grouped_df: 142 × 3
country	continent	data
<fct>	<fct>	<list>
Afghanistan	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 2.880100e+01, 3.033200e+01, 3.199700e+01, 3.402000e+01, 3.608800e+01, 3.843800e+01, 3.985400e+01, 4.082200e+01, 4.167400e+01, 4.176300e+01, 4.212900e+01, 4.382800e+01, 8.425333e+06, 9.240934e+06, 1.026708e+07, 1.153797e+07, 1.307946e+07, 1.488037e+07, 1.288182e+07, 1.386796e+07, 1.631792e+07, 2.222742e+07, 2.526840e+07, 3.188992e+07, 7.794453e+02, 8.208530e+02, 8.531007e+02, 8.361971e+02, 7.399811e+02, 7.861134e+02, 9.780114e+02, 8.523959e+02, 6.493414e+02, 6.353414e+02, 7.267341e+02, 9.745803e+02
Albania	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.230, 59.280, 64.820, 66.220, 67.690, 68.930, 70.420, 72.000, 71.581, 72.950, 75.651, 76.423, 1282697.000, 1476505.000, 1728137.000, 1984060.000, 2263554.000, 2509048.000, 2780097.000, 3075321.000, 3326498.000, 3428038.000, 3508512.000, 3600523.000, 1601.056, 1942.284, 2312.889, 2760.197, 3313.422, 3533.004, 3630.881, 3738.933, 2497.438, 3193.055, 4604.212, 5937.030
Algeria	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.077, 45.685, 48.303, 51.407, 54.518, 58.014, 61.368, 65.799, 67.744, 69.152, 70.994, 72.301, 9279525.000, 10270856.000, 11000948.000, 12760499.000, 14760787.000, 17152804.000, 20033753.000, 23254956.000, 26298373.000, 29072015.000, 31287142.000, 33333216.000, 2449.008, 3013.976, 2550.817, 3246.992, 4182.664, 4910.417, 5745.160, 5681.359, 5023.217, 4797.295, 5288.040, 6223.367
Angola	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 30.015, 31.999, 34.000, 35.985, 37.928, 39.483, 39.942, 39.906, 40.647, 40.963, 41.003, 42.731, 4232095.000, 4561361.000, 4826015.000, 5247469.000, 5894858.000, 6162675.000, 7016384.000, 7874230.000, 8735988.000, 9875024.000, 10866106.000, 12420476.000, 3520.610, 3827.940, 4269.277, 5522.776, 5473.288, 3008.647, 2756.954, 2430.208, 2627.846, 2277.141, 2773.287, 4797.231
Argentina	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 62.485, 64.399, 65.142, 65.634, 67.065, 68.481, 69.942, 70.774, 71.868, 73.275, 74.340, 75.320, 17876956.000, 19610538.000, 21283783.000, 22934225.000, 24779799.000, 26983828.000, 29341374.000, 31620918.000, 33958947.000, 36203463.000, 38331121.000, 40301927.000, 5911.315, 6856.856, 7133.166, 8052.953, 9443.039, 10079.027, 8997.897, 9139.671, 9308.419, 10967.282, 8797.641, 12779.380
Australia	Oceania	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 69.120, 70.330, 70.930, 71.100, 71.930, 73.490, 74.740, 76.320, 77.560, 78.830, 80.370, 81.235, 8691212.000, 9712569.000, 10794968.000, 11872264.000, 13177000.000, 14074100.000, 15184200.000, 16257249.000, 17481977.000, 18565243.000, 19546792.000, 20434176.000, 10039.596, 10949.650, 12217.227, 14526.125, 16788.629, 18334.198, 19477.009, 21888.889, 23424.767, 26997.937, 30687.755, 34435.367
Austria	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 66.800, 67.480, 69.540, 70.140, 70.630, 72.170, 73.180, 74.940, 76.040, 77.510, 78.980, 79.829, 6927772.000, 6965860.000, 7129864.000, 7376998.000, 7544201.000, 7568430.000, 7574613.000, 7578903.000, 7914969.000, 8069876.000, 8148312.000, 8199783.000, 6137.076, 8842.598, 10750.721, 12834.602, 16661.626, 19749.422, 21597.084, 23687.826, 27042.019, 29095.921, 32417.608, 36126.493
Bahrain	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 50.939, 53.832, 56.923, 59.923, 63.300, 65.593, 69.052, 70.750, 72.601, 73.925, 74.795, 75.635, 120447.000, 138655.000, 171863.000, 202182.000, 230800.000, 297410.000, 377967.000, 454612.000, 529491.000, 598561.000, 656397.000, 708573.000, 9867.085, 11635.799, 12753.275, 14804.673, 18268.658, 19340.102, 19211.147, 18524.024, 19035.579, 20292.017, 23403.559, 29796.048
Bangladesh	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.748400e+01, 3.934800e+01, 4.121600e+01, 4.345300e+01, 4.525200e+01, 4.692300e+01, 5.000900e+01, 5.281900e+01, 5.601800e+01, 5.941200e+01, 6.201300e+01, 6.406200e+01, 4.688686e+07, 5.136547e+07, 5.683929e+07, 6.282188e+07, 7.075930e+07, 8.042831e+07, 9.307441e+07, 1.037642e+08, 1.137046e+08, 1.233153e+08, 1.356568e+08, 1.504483e+08, 6.842442e+02, 6.616375e+02, 6.863416e+02, 7.211861e+02, 6.302336e+02, 6.598772e+02, 6.769819e+02, 7.519794e+02, 8.378102e+02, 9.727700e+02, 1.136390e+03, 1.391254e+03
Belgium	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 68.000, 69.240, 70.250, 70.940, 71.440, 72.800, 73.930, 75.350, 76.460, 77.530, 78.320, 79.441, 8730405.000, 8989111.000, 9218400.000, 9556500.000, 9709100.000, 9821800.000, 9856303.000, 9870200.000, 10045622.000, 10199787.000, 10311970.000, 10392226.000, 8343.105, 9714.961, 10991.207, 13149.041, 16672.144, 19117.974, 20979.846, 22525.563, 25575.571, 27561.197, 30485.884, 33692.605
Benin	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 38.2230, 40.3580, 42.6180, 44.8850, 47.0140, 49.1900, 50.9040, 52.3370, 53.9190, 54.7770, 54.4060, 56.7280, 1738315.0000, 1925173.0000, 2151895.0000, 2427334.0000, 2761407.0000, 3168267.0000, 3641603.0000, 4243788.0000, 4981671.0000, 6066080.0000, 7026113.0000, 8078314.0000, 1062.7522, 959.6011, 949.4991, 1035.8314, 1085.7969, 1029.1613, 1277.8976, 1225.8560, 1191.2077, 1232.9753, 1372.8779, 1441.2849
Bolivia	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 40.414, 41.890, 43.428, 45.032, 46.714, 50.023, 53.859, 57.251, 59.957, 62.050, 63.883, 65.554, 2883315.000, 3211738.000, 3593918.000, 4040665.000, 4565872.000, 5079716.000, 5642224.000, 6156369.000, 6893451.000, 7693188.000, 8445134.000, 9119152.000, 2677.326, 2127.686, 2180.973, 2586.886, 2980.331, 3548.098, 3156.510, 2753.691, 2961.700, 3326.143, 3413.263, 3822.137
Bosnia and Herzegovina	Europe	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 53.8200, 58.4500, 61.9300, 64.7900, 67.4500, 69.8600, 70.6900, 71.1400, 72.1780, 73.2440, 74.0900, 74.8520, 2791000.0000, 3076000.0000, 3349000.0000, 3585000.0000, 3819000.0000, 4086000.0000, 4172693.0000, 4338977.0000, 4256013.0000, 3607000.0000, 4165416.0000, 4552198.0000, 973.5332, 1353.9892, 1709.6837, 2172.3524, 2860.1698, 3528.4813, 4126.6132, 4314.1148, 2546.7814, 4766.3559, 6018.9752, 7446.2988
Botswana	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 47.6220, 49.6180, 51.5200, 53.2980, 56.0240, 59.3190, 61.4840, 63.6220, 62.7450, 52.5560, 46.6340, 50.7280, 442308.0000, 474639.0000, 512764.0000, 553541.0000, 619351.0000, 781472.0000, 970347.0000, 1151184.0000, 1342614.0000, 1536536.0000, 1630347.0000, 1639131.0000, 851.2411, 918.2325, 983.6540, 1214.7093, 2263.6111, 3214.8578, 4551.1421, 6205.8839, 7954.1116, 8647.1423, 11003.6051, 12569.8518
Brazil	Americas	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.091700e+01, 5.328500e+01, 5.566500e+01, 5.763200e+01, 5.950400e+01, 6.148900e+01, 6.333600e+01, 6.520500e+01, 6.705700e+01, 6.938800e+01, 7.100600e+01, 7.239000e+01, 5.660256e+07, 6.555117e+07, 7.603939e+07, 8.804982e+07, 1.008401e+08, 1.143140e+08, 1.289629e+08, 1.429381e+08, 1.559760e+08, 1.685467e+08, 1.799142e+08, 1.900106e+08, 2.108944e+03, 2.487366e+03, 3.336586e+03, 3.429864e+03, 4.985711e+03, 6.660119e+03, 7.030836e+03, 7.807096e+03, 6.950283e+03, 7.957981e+03, 8.131213e+03, 9.065801e+03
Bulgaria	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 59.600, 66.610, 69.510, 70.420, 70.900, 70.810, 71.080, 71.340, 71.190, 70.320, 72.140, 73.005, 7274900.000, 7651254.000, 8012946.000, 8310226.000, 8576200.000, 8797022.000, 8892098.000, 8971958.000, 8658506.000, 8066057.000, 7661799.000, 7322858.000, 2444.287, 3008.671, 4254.338, 5577.003, 6597.494, 7612.240, 8224.192, 8239.855, 6302.623, 5970.389, 7696.778, 10680.793
Burkina Faso	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.197500e+01, 3.490600e+01, 3.781400e+01, 4.069700e+01, 4.359100e+01, 4.613700e+01, 4.812200e+01, 4.955700e+01, 5.026000e+01, 5.032400e+01, 5.065000e+01, 5.229500e+01, 4.469979e+06, 4.713416e+06, 4.919632e+06, 5.127935e+06, 5.433886e+06, 5.889574e+06, 6.634596e+06, 7.586551e+06, 8.878303e+06, 1.035284e+07, 1.225121e+07, 1.432620e+07, 5.432552e+02, 6.171835e+02, 7.225120e+02, 7.948266e+02, 8.547360e+02, 7.433870e+02, 8.071986e+02, 9.120631e+02, 9.317528e+02, 9.462950e+02, 1.037645e+03, 1.217033e+03
Burundi	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 39.0310, 40.5330, 42.0450, 43.5480, 44.0570, 45.9100, 47.4710, 48.2110, 44.7360, 45.3260, 47.3600, 49.5800, 2445618.0000, 2667518.0000, 2961915.0000, 3330989.0000, 3529983.0000, 3834415.0000, 4580410.0000, 5126023.0000, 5809236.0000, 6121610.0000, 7021078.0000, 8390505.0000, 339.2965, 379.5646, 355.2032, 412.9775, 464.0995, 556.1033, 559.6032, 621.8188, 631.6999, 463.1151, 446.4035, 430.0707
Cambodia	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.941700e+01, 4.136600e+01, 4.341500e+01, 4.541500e+01, 4.031700e+01, 3.122000e+01, 5.095700e+01, 5.391400e+01, 5.580300e+01, 5.653400e+01, 5.675200e+01, 5.972300e+01, 4.693836e+06, 5.322536e+06, 6.083619e+06, 6.960067e+06, 7.450606e+06, 6.978607e+06, 7.272485e+06, 8.371791e+06, 1.015009e+07, 1.178296e+07, 1.292671e+07, 1.413186e+07, 3.684693e+02, 4.340383e+02, 4.969136e+02, 5.234323e+02, 4.216240e+02, 5.249722e+02, 6.244755e+02, 6.838956e+02, 6.823032e+02, 7.342852e+02, 8.962260e+02, 1.713779e+03
Cameroon	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 38.523, 40.428, 42.643, 44.799, 47.049, 49.355, 52.961, 54.985, 54.314, 52.199, 49.856, 50.430, 5009067.000, 5359923.000, 5793633.000, 6335506.000, 7021028.000, 7959865.000, 9250831.000, 10780667.000, 12467171.000, 14195809.000, 15929988.000, 17696293.000, 1172.668, 1313.048, 1399.607, 1508.453, 1684.147, 1783.433, 2367.983, 2602.664, 1793.163, 1694.337, 1934.011, 2042.095
Canada	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 68.750, 69.960, 71.300, 72.130, 72.880, 74.210, 75.760, 76.860, 77.950, 78.610, 79.770, 80.653, 14785584.000, 17010154.000, 18985849.000, 20819767.000, 22284500.000, 23796400.000, 25201900.000, 26549700.000, 28523502.000, 30305843.000, 31902268.000, 33390141.000, 11367.161, 12489.950, 13462.486, 16076.588, 18970.571, 22090.883, 22898.792, 26626.515, 26342.884, 28954.926, 33328.965, 36319.235
Central African Republic	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 35.4630, 37.4640, 39.4750, 41.4780, 43.4570, 46.7750, 48.2950, 50.4850, 49.3960, 46.0660, 43.3080, 44.7410, 1291695.0000, 1392284.0000, 1523478.0000, 1733638.0000, 1927260.0000, 2167533.0000, 2476971.0000, 2840009.0000, 3265124.0000, 3696513.0000, 4048013.0000, 4369038.0000, 1071.3107, 1190.8443, 1193.0688, 1136.0566, 1070.0133, 1109.3743, 956.7530, 844.8764, 747.9055, 740.5063, 738.6906, 706.0165
Chad	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.809200e+01, 3.988100e+01, 4.171600e+01, 4.360100e+01, 4.556900e+01, 4.738300e+01, 4.951700e+01, 5.105100e+01, 5.172400e+01, 5.157300e+01, 5.052500e+01, 5.065100e+01, 2.682462e+06, 2.894855e+06, 3.150417e+06, 3.495967e+06, 3.899068e+06, 4.388260e+06, 4.875118e+06, 5.498955e+06, 6.429417e+06, 7.562011e+06, 8.835739e+06, 1.023881e+07, 1.178666e+03, 1.308496e+03, 1.389818e+03, 1.196811e+03, 1.104104e+03, 1.133985e+03, 7.979081e+02, 9.523861e+02, 1.058064e+03, 1.004961e+03, 1.156182e+03, 1.704064e+03
Chile	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 54.745, 56.074, 57.924, 60.523, 63.441, 67.052, 70.565, 72.492, 74.126, 75.816, 77.860, 78.553, 6377619.000, 7048426.000, 7961258.000, 8858908.000, 9717524.000, 10599793.000, 11487112.000, 12463354.000, 13572994.000, 14599929.000, 15497046.000, 16284741.000, 3939.979, 4315.623, 4519.094, 5106.654, 5494.024, 4756.764, 5095.666, 5547.064, 7596.126, 10118.053, 10778.784, 13171.639
China	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.400000e+01, 5.054896e+01, 4.450136e+01, 5.838112e+01, 6.311888e+01, 6.396736e+01, 6.552500e+01, 6.727400e+01, 6.869000e+01, 7.042600e+01, 7.202800e+01, 7.296100e+01, 5.562635e+08, 6.374080e+08, 6.657700e+08, 7.545500e+08, 8.620300e+08, 9.434550e+08, 1.000281e+09, 1.084035e+09, 1.164970e+09, 1.230075e+09, 1.280400e+09, 1.318683e+09, 4.004486e+02, 5.759870e+02, 4.876740e+02, 6.127057e+02, 6.769001e+02, 7.412375e+02, 9.624214e+02, 1.378904e+03, 1.655784e+03, 2.289234e+03, 3.119281e+03, 4.959115e+03
Colombia	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 50.643, 55.118, 57.863, 59.963, 61.623, 63.837, 66.653, 67.768, 68.421, 70.313, 71.682, 72.889, 12350771.000, 14485993.000, 17009885.000, 19764027.000, 22542890.000, 25094412.000, 27764644.000, 30964245.000, 34202721.000, 37657830.000, 41008227.000, 44227550.000, 2144.115, 2323.806, 2492.351, 2678.730, 3264.660, 3815.808, 4397.576, 4903.219, 5444.649, 6117.362, 5755.260, 7006.580
Comoros	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 40.7150, 42.4600, 44.4670, 46.4720, 48.9440, 50.9390, 52.9330, 54.9260, 57.9390, 60.6600, 62.9740, 65.1520, 153936.0000, 170928.0000, 191689.0000, 217378.0000, 250027.0000, 304739.0000, 348643.0000, 395114.0000, 454429.0000, 527982.0000, 614382.0000, 710960.0000, 1102.9909, 1211.1485, 1406.6483, 1876.0296, 1937.5777, 1172.6030, 1267.1001, 1315.9808, 1246.9074, 1173.6182, 1075.8116, 986.1479
Congo, Dem. Rep.	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.914300e+01, 4.065200e+01, 4.212200e+01, 4.405600e+01, 4.598900e+01, 4.780400e+01, 4.778400e+01, 4.741200e+01, 4.554800e+01, 4.258700e+01, 4.496600e+01, 4.646200e+01, 1.410000e+07, 1.557793e+07, 1.748643e+07, 1.994107e+07, 2.300767e+07, 2.648087e+07, 3.064650e+07, 3.548164e+07, 4.167214e+07, 4.779899e+07, 5.537985e+07, 6.460676e+07, 7.805423e+02, 9.058602e+02, 8.963146e+02, 8.615932e+02, 9.048961e+02, 7.957573e+02, 6.737478e+02, 6.727748e+02, 4.577192e+02, 3.121884e+02, 2.411659e+02, 2.775519e+02
Congo, Rep.	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.111, 45.053, 48.435, 52.040, 54.907, 55.625, 56.695, 57.470, 56.433, 52.962, 52.970, 55.322, 854885.000, 940458.000, 1047924.000, 1179760.000, 1340458.000, 1536769.000, 1774735.000, 2064095.000, 2409073.000, 2800947.000, 3328795.000, 3800610.000, 2125.621, 2315.057, 2464.783, 2677.940, 3213.153, 3259.179, 4879.508, 4201.195, 4016.240, 3484.164, 3484.062, 3632.558
Costa Rica	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 57.206, 60.026, 62.842, 65.424, 67.849, 70.750, 73.450, 74.752, 75.713, 77.260, 78.123, 78.782, 926317.000, 1112300.000, 1345187.000, 1588717.000, 1834796.000, 2108457.000, 2424367.000, 2799811.000, 3173216.000, 3518107.000, 3834934.000, 4133884.000, 2627.009, 2990.011, 3460.937, 4161.728, 5118.147, 5926.877, 5262.735, 5629.915, 6160.416, 6677.045, 7723.447, 9645.061
⋮	⋮	⋮
Sierra Leone	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 30.3310, 31.5700, 32.7670, 34.1130, 35.4000, 36.7880, 38.4450, 40.0060, 38.3330, 39.8970, 41.0120, 42.5680, 2143249.0000, 2295678.0000, 2467895.0000, 2662190.0000, 2879013.0000, 3140897.0000, 3464522.0000, 3868905.0000, 4260884.0000, 4578212.0000, 5359092.0000, 6144562.0000, 879.7877, 1004.4844, 1116.6399, 1206.0435, 1353.7598, 1348.2852, 1465.0108, 1294.4478, 1068.6963, 574.6482, 699.4897, 862.5408
Singapore	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 60.396, 63.179, 65.798, 67.946, 69.521, 70.795, 71.760, 73.560, 75.788, 77.158, 78.770, 79.972, 1127000.000, 1445929.000, 1750200.000, 1977600.000, 2152400.000, 2325300.000, 2651869.000, 2794552.000, 3235865.000, 3802309.000, 4197776.000, 4553009.000, 2315.138, 2843.104, 3674.736, 4977.419, 8597.756, 11210.089, 15169.161, 18861.531, 24769.891, 33519.477, 36023.105, 47143.180
Slovak Republic	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 64.360, 67.450, 70.330, 70.980, 70.350, 70.450, 70.800, 71.080, 71.380, 72.710, 73.800, 74.663, 3558137.000, 3844277.000, 4237384.000, 4442238.000, 4593433.000, 4827803.000, 5048043.000, 5199318.000, 5302888.000, 5383010.000, 5410052.000, 5447502.000, 5074.659, 6093.263, 7481.108, 8412.902, 9674.168, 10922.664, 11348.546, 12037.268, 9498.468, 12126.231, 13638.778, 18678.314
Slovenia	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 65.570, 67.850, 69.150, 69.180, 69.820, 70.970, 71.063, 72.250, 73.640, 75.130, 76.660, 77.926, 1489518.000, 1533070.000, 1582962.000, 1646912.000, 1694510.000, 1746919.000, 1861252.000, 1945870.000, 1999210.000, 2011612.000, 2011497.000, 2009245.000, 4215.042, 5862.277, 7402.303, 9405.489, 12383.486, 15277.030, 17866.722, 18678.535, 14214.717, 17161.107, 20660.019, 25768.258
Somalia	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 32.9780, 34.9770, 36.9810, 38.9770, 40.9730, 41.9740, 42.9550, 44.5010, 39.6580, 43.7950, 45.9360, 48.1590, 2526994.0000, 2780415.0000, 3080153.0000, 3428839.0000, 3840161.0000, 4353666.0000, 5828892.0000, 6921858.0000, 6099799.0000, 6633514.0000, 7753310.0000, 9118773.0000, 1135.7498, 1258.1474, 1369.4883, 1284.7332, 1254.5761, 1450.9925, 1176.8070, 1093.2450, 926.9603, 930.5964, 882.0818, 926.1411
South Africa	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 45.009, 47.985, 49.951, 51.927, 53.696, 55.527, 58.161, 60.834, 61.888, 60.236, 53.365, 49.339, 14264935.000, 16151549.000, 18356657.000, 20997321.000, 23935810.000, 27129932.000, 31140029.000, 35933379.000, 39964159.000, 42835005.000, 44433622.000, 43997828.000, 4725.296, 5487.104, 5768.730, 7114.478, 7765.963, 8028.651, 8568.266, 7825.823, 7225.069, 7479.188, 7710.946, 9269.658
Spain	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 64.940, 66.660, 69.690, 71.440, 73.060, 74.390, 76.300, 76.900, 77.570, 78.770, 79.780, 80.941, 28549870.000, 29841614.000, 31158061.000, 32850275.000, 34513161.000, 36439000.000, 37983310.000, 38880702.000, 39549438.000, 39855442.000, 40152517.000, 40448191.000, 3834.035, 4564.802, 5693.844, 7993.512, 10638.751, 13236.921, 13926.170, 15764.983, 18603.065, 20445.299, 24835.472, 28821.064
Sri Lanka	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 57.593, 61.456, 62.192, 64.266, 65.042, 65.949, 68.757, 69.011, 70.379, 70.457, 70.815, 72.396, 7982342.000, 9128546.000, 10421936.000, 11737396.000, 13016733.000, 14116836.000, 15410151.000, 16495304.000, 17587060.000, 18698655.000, 19576783.000, 20378239.000, 1083.532, 1072.547, 1074.472, 1135.514, 1213.396, 1348.776, 1648.080, 1876.767, 2153.739, 2664.477, 3015.379, 3970.095
Sudan	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 38.635, 39.624, 40.870, 42.858, 45.083, 47.800, 50.338, 51.744, 53.556, 55.373, 56.369, 58.556, 8504667.000, 9753392.000, 11183227.000, 12716129.000, 14597019.000, 17104986.000, 20367053.000, 24725960.000, 28227588.000, 32160729.000, 37090298.000, 42292929.000, 1615.991, 1770.337, 1959.594, 1687.998, 1659.653, 2202.988, 1895.544, 1507.819, 1492.197, 1632.211, 1993.398, 2602.395
Swaziland	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 41.407, 43.424, 44.992, 46.633, 49.552, 52.537, 55.561, 57.678, 58.474, 54.289, 43.869, 39.613, 290243.000, 326741.000, 370006.000, 420690.000, 480105.000, 551425.000, 649901.000, 779348.000, 962344.000, 1054486.000, 1130269.000, 1133066.000, 1148.377, 1244.708, 1856.182, 2613.102, 3364.837, 3781.411, 3895.384, 3984.840, 3553.022, 3876.768, 4128.117, 4513.481
Sweden	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 71.860, 72.490, 73.370, 74.160, 74.720, 75.440, 76.420, 77.190, 78.160, 79.390, 80.040, 80.884, 7124673.000, 7363802.000, 7561588.000, 7867931.000, 8122293.000, 8251648.000, 8325260.000, 8421403.000, 8718867.000, 8897619.000, 8954175.000, 9031088.000, 8527.845, 9911.878, 12329.442, 15258.297, 17832.025, 18855.725, 20667.381, 23586.929, 23880.017, 25266.595, 29341.631, 33859.748
Switzerland	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 69.620, 70.560, 71.320, 72.770, 73.780, 75.390, 76.210, 77.410, 78.030, 79.370, 80.620, 81.701, 4815000.000, 5126000.000, 5666000.000, 6063000.000, 6401400.000, 6316424.000, 6468126.000, 6649942.000, 6995447.000, 7193761.000, 7361757.000, 7554661.000, 14734.233, 17909.490, 20431.093, 22966.144, 27195.113, 26982.291, 28397.715, 30281.705, 31871.530, 32135.323, 34480.958, 37506.419
Syria	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 45.883, 48.284, 50.305, 53.655, 57.296, 61.195, 64.590, 66.974, 69.249, 71.527, 73.053, 74.143, 3661549.000, 4149908.000, 4834621.000, 5680812.000, 6701172.000, 7932503.000, 9410494.000, 11242847.000, 13219062.000, 15081016.000, 17155814.000, 19314747.000, 1643.485, 2117.235, 2193.037, 1881.924, 2571.423, 3195.485, 3761.838, 3116.774, 3340.543, 4014.239, 4090.925, 4184.548
Taiwan	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 58.500, 62.400, 65.200, 67.500, 69.390, 70.590, 72.160, 73.400, 74.260, 75.250, 76.990, 78.400, 8550362.000, 10164215.000, 11918938.000, 13648692.000, 15226039.000, 16785196.000, 18501390.000, 19757799.000, 20686918.000, 21628605.000, 22454239.000, 23174294.000, 1206.948, 1507.861, 1822.879, 2643.859, 4062.524, 5596.520, 7426.355, 11054.562, 15215.658, 20206.821, 23235.423, 28718.277
Tanzania	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.121500e+01, 4.297400e+01, 4.424600e+01, 4.575700e+01, 4.762000e+01, 4.991900e+01, 5.060800e+01, 5.153500e+01, 5.044000e+01, 4.846600e+01, 4.965100e+01, 5.251700e+01, 8.322925e+06, 9.452826e+06, 1.086396e+07, 1.260731e+07, 1.470659e+07, 1.712956e+07, 1.984438e+07, 2.304063e+07, 2.660547e+07, 3.068689e+07, 3.459378e+07, 3.813964e+07, 7.166501e+02, 6.985356e+02, 7.220038e+02, 8.482187e+02, 9.159851e+02, 9.624923e+02, 8.742426e+02, 8.318221e+02, 8.256825e+02, 7.891862e+02, 8.990742e+02, 1.107482e+03
Thailand	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.084800e+01, 5.363000e+01, 5.606100e+01, 5.828500e+01, 6.040500e+01, 6.249400e+01, 6.459700e+01, 6.608400e+01, 6.729800e+01, 6.752100e+01, 6.856400e+01, 7.061600e+01, 2.128940e+07, 2.504192e+07, 2.926340e+07, 3.402425e+07, 3.927615e+07, 4.414828e+07, 4.882716e+07, 5.291034e+07, 5.666710e+07, 6.021668e+07, 6.280675e+07, 6.506815e+07, 7.577974e+02, 7.935774e+02, 1.002199e+03, 1.295461e+03, 1.524359e+03, 1.961225e+03, 2.393220e+03, 2.982654e+03, 4.616897e+03, 5.852625e+03, 5.913188e+03, 7.458396e+03
Togo	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 38.5960, 41.2080, 43.9220, 46.7690, 49.7590, 52.8870, 55.4710, 56.9410, 58.0610, 58.3900, 57.5610, 58.4200, 1219113.0000, 1357445.0000, 1528098.0000, 1735550.0000, 2056351.0000, 2308582.0000, 2644765.0000, 3154264.0000, 3747553.0000, 4320890.0000, 4977378.0000, 5701579.0000, 859.8087, 925.9083, 1067.5348, 1477.5968, 1649.6602, 1532.7770, 1344.5780, 1202.2014, 1034.2989, 982.2869, 886.2206, 882.9699
Trinidad and Tobago	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 59.100, 61.800, 64.900, 65.400, 65.900, 68.300, 68.832, 69.582, 69.862, 69.465, 68.976, 69.819, 662850.000, 764900.000, 887498.000, 960155.000, 975199.000, 1039009.000, 1116479.000, 1191336.000, 1183669.000, 1138101.000, 1101832.000, 1056608.000, 3023.272, 4100.393, 4997.524, 5621.368, 6619.551, 7899.554, 9119.529, 7388.598, 7370.991, 8792.573, 11460.600, 18008.509
Tunisia	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 44.600, 47.100, 49.579, 52.053, 55.602, 59.837, 64.048, 66.894, 70.001, 71.973, 73.042, 73.923, 3647735.000, 3950849.000, 4286552.000, 4786986.000, 5303507.000, 6005061.000, 6734098.000, 7724976.000, 8523077.000, 9231669.000, 9770575.000, 10276158.000, 1468.476, 1395.232, 1660.303, 1932.360, 2753.286, 3120.877, 3560.233, 3810.419, 4332.720, 4876.799, 5722.896, 7092.923
Turkey	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.585, 48.079, 52.098, 54.336, 57.005, 59.507, 61.036, 63.108, 66.146, 68.835, 70.845, 71.777, 22235677.000, 25670939.000, 29788695.000, 33411317.000, 37492953.000, 42404033.000, 47328791.000, 52881328.000, 58179144.000, 63047647.000, 67308928.000, 71158647.000, 1969.101, 2218.754, 2322.870, 2826.356, 3450.696, 4269.122, 4241.356, 5089.044, 5678.348, 6601.430, 6508.086, 8458.276
Uganda	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.997800e+01, 4.257100e+01, 4.534400e+01, 4.805100e+01, 5.101600e+01, 5.035000e+01, 4.984900e+01, 5.150900e+01, 4.882500e+01, 4.457800e+01, 4.781300e+01, 5.154200e+01, 5.824797e+06, 6.675501e+06, 7.688797e+06, 8.900294e+06, 1.019028e+07, 1.145776e+07, 1.293940e+07, 1.528305e+07, 1.825219e+07, 2.121025e+07, 2.473987e+07, 2.917040e+07, 7.347535e+02, 7.743711e+02, 7.672717e+02, 9.089185e+02, 9.507359e+02, 8.437331e+02, 6.822662e+02, 6.177244e+02, 6.441708e+02, 8.165591e+02, 9.277210e+02, 1.056380e+03
United Kingdom	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 69.180, 70.420, 70.760, 71.360, 72.010, 72.760, 74.040, 75.007, 76.420, 77.218, 78.471, 79.425, 50430000.000, 51430000.000, 53292000.000, 54959000.000, 56079000.000, 56179000.000, 56339704.000, 56981620.000, 57866349.000, 58808266.000, 59912431.000, 60776238.000, 9979.508, 11283.178, 12477.177, 14142.851, 15895.116, 17428.748, 18232.425, 21664.788, 22705.093, 26074.531, 29478.999, 33203.261
United States	Americas	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 6.844000e+01, 6.949000e+01, 7.021000e+01, 7.076000e+01, 7.134000e+01, 7.338000e+01, 7.465000e+01, 7.502000e+01, 7.609000e+01, 7.681000e+01, 7.731000e+01, 7.824200e+01, 1.575530e+08, 1.719840e+08, 1.865380e+08, 1.987120e+08, 2.098960e+08, 2.202390e+08, 2.321878e+08, 2.428035e+08, 2.568942e+08, 2.729118e+08, 2.876755e+08, 3.011399e+08, 1.399048e+04, 1.484713e+04, 1.617315e+04, 1.953037e+04, 2.180604e+04, 2.407263e+04, 2.500956e+04, 2.988435e+04, 3.200393e+04, 3.576743e+04, 3.909710e+04, 4.295165e+04
Uruguay	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 66.071, 67.044, 68.253, 68.468, 68.673, 69.481, 70.805, 71.918, 72.752, 74.223, 75.307, 76.384, 2252965.000, 2424959.000, 2598466.000, 2748579.000, 2829526.000, 2873520.000, 2953997.000, 3045153.000, 3149262.000, 3262838.000, 3363085.000, 3447496.000, 5716.767, 6150.773, 5603.358, 5444.620, 5703.409, 6504.340, 6920.223, 7452.399, 8137.005, 9230.241, 7727.002, 10611.463
Venezuela	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.088, 57.907, 60.770, 63.479, 65.712, 67.456, 68.557, 70.190, 71.150, 72.146, 72.766, 73.747, 5439568.000, 6702668.000, 8143375.000, 9709552.000, 11515649.000, 13503563.000, 15620766.000, 17910182.000, 20265563.000, 22374398.000, 24287670.000, 26084662.000, 7689.800, 9802.467, 8422.974, 9541.474, 10505.260, 13143.951, 11152.410, 9883.585, 10733.926, 10165.495, 8605.048, 11415.806
Vietnam	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.041200e+01, 4.288700e+01, 4.536300e+01, 4.783800e+01, 5.025400e+01, 5.576400e+01, 5.881600e+01, 6.282000e+01, 6.766200e+01, 7.067200e+01, 7.301700e+01, 7.424900e+01, 2.624684e+07, 2.899854e+07, 3.379614e+07, 3.946391e+07, 4.465501e+07, 5.053351e+07, 5.614218e+07, 6.282649e+07, 6.994073e+07, 7.604900e+07, 8.090815e+07, 8.526236e+07, 6.050665e+02, 6.762854e+02, 7.720492e+02, 6.371233e+02, 6.995016e+02, 7.135371e+02, 7.072358e+02, 8.207994e+02, 9.890231e+02, 1.385897e+03, 1.764457e+03, 2.441576e+03
West Bank and Gaza	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.160, 45.671, 48.127, 51.631, 56.532, 60.765, 64.406, 67.046, 69.718, 71.096, 72.370, 73.422, 1030585.000, 1070439.000, 1133134.000, 1142636.000, 1089572.000, 1261091.000, 1425876.000, 1691210.000, 2104779.000, 2826046.000, 3389578.000, 4018332.000, 1515.592, 1827.068, 2198.956, 2649.715, 3133.409, 3682.831, 4336.032, 5107.197, 6017.655, 7110.668, 4515.488, 3025.350
Yemen, Rep.	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.254800e+01, 3.397000e+01, 3.518000e+01, 3.698400e+01, 3.984800e+01, 4.417500e+01, 4.911300e+01, 5.292200e+01, 5.559900e+01, 5.802000e+01, 6.030800e+01, 6.269800e+01, 4.963829e+06, 5.498090e+06, 6.120081e+06, 6.740785e+06, 7.407075e+06, 8.403990e+06, 9.657618e+06, 1.121934e+07, 1.336800e+07, 1.582650e+07, 1.870126e+07, 2.221174e+07, 7.817176e+02, 8.048305e+02, 8.256232e+02, 8.624421e+02, 1.265047e+03, 1.829765e+03, 1.977557e+03, 1.971742e+03, 1.879497e+03, 2.117485e+03, 2.234821e+03, 2.280770e+03
Zambia	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.100, 40.238, 39.193, 42.384, 2672000.000, 3016000.000, 3421000.000, 3900000.000, 4506497.000, 5216550.000, 6100407.000, 7272406.000, 8381163.000, 9417789.000, 10595811.000, 11746035.000, 1147.389, 1311.957, 1452.726, 1777.077, 1773.498, 1588.688, 1408.679, 1213.315, 1210.885, 1071.354, 1071.614, 1271.212
Zimbabwe	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.845100e+01, 5.046900e+01, 5.235800e+01, 5.399500e+01, 5.563500e+01, 5.767400e+01, 6.036300e+01, 6.235100e+01, 6.037700e+01, 4.680900e+01, 3.998900e+01, 4.348700e+01, 3.080907e+06, 3.646340e+06, 4.277736e+06, 4.995432e+06, 5.861135e+06, 6.642107e+06, 7.636524e+06, 9.216418e+06, 1.070434e+07, 1.140495e+07, 1.192656e+07, 1.231114e+07, 4.068841e+02, 5.187643e+02, 5.272722e+02, 5.697951e+02, 7.993622e+02, 6.855877e+02, 7.888550e+02, 7.061573e+02, 6.934208e+02, 7.924500e+02, 6.720386e+02, 4.697093e+02

(I'm cheating a little by grouping on both continent and country. Given country, continent is fixed, so this doesn't add any more groups, but it's an easy way to carry an extra variable along for the ride.)

This creates a data frame that has one row per group (per country), and a rather unusual column: data. data is a list of data frames (or tibbles, to be precise). This seems like a crazy idea: we have a data frame with a column that is a list of other data frames! I'll explain shortly why I think this is a good idea.

The data column is a little tricky to look at because it's a moderately complicated list, and we're still working on good tools to explore these objects. Unfortunately using str() is not recommended as it will often produce very long output. But if you pluck out a single element from the data column you'll see that it contains all the data for that country (in this case, Afghanistan).

In [7]:

            
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by_country$data[[1]]
by_country$data[[1]]

A tibble: 12 × 4
year	lifeExp	pop	gdpPercap
<int>	<dbl>	<int>	<dbl>
1952	28.801	8425333	779.4453
1957	30.332	9240934	820.8530
1962	31.997	10267083	853.1007
1967	34.020	11537966	836.1971
1972	36.088	13079460	739.9811
1977	38.438	14880372	786.1134
1982	39.854	12881816	978.0114
1987	40.822	13867957	852.3959
1992	41.674	16317921	649.3414
1997	41.763	22227415	635.3414
2002	42.129	25268405	726.7341
2007	43.828	31889923	974.5803

Note the difference between a standard grouped data frame and a nested data frame: in a grouped data frame, each row is an observation; in a nested data frame, each row is a group. Another way to think about a nested dataset is we now have a meta-observation: a row that represents the complete time course for a country, rather than a single point in time.

List-columns¶

Now that we have our nested data frame, we're in a good position to fit some models. We have a model-fitting function:

In [8]:

            
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country_model <- function(df) {
  lm(lifeExp ~ year, data = df)
}
country_model <- function(df) {
  lm(lifeExp ~ year, data = df)
}

And we want to apply it to every data frame. The data frames are in a list, so we can use purrr::map() to apply country_model to each element:

In [9]:

            
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models <- map(by_country$data, country_model)
models <- map(by_country$data, country_model)

However, rather than leaving the list of models as a free-floating object, I think it's better to store it as a column in the by_country data frame. Storing related objects in columns is a key part of the value of data frames, and why I think list-columns are such a good idea. In the course of working with these countries, we are going to have lots of lists where we have one element per country. So why not store them all together in one data frame?

In other words, instead of creating a new object in the global environment, we're going to create a new variable in the by_country data frame. That's a job for dplyr::mutate():

In [10]:

            
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by_country <- by_country |> 
  mutate(model = map(data, country_model))
by_country
by_country <- by_country |> 
  mutate(model = map(data, country_model))
by_country

A grouped_df: 142 × 4
country	continent	data	model
<fct>	<fct>	<list>	<list>
Afghanistan	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 2.880100e+01, 3.033200e+01, 3.199700e+01, 3.402000e+01, 3.608800e+01, 3.843800e+01, 3.985400e+01, 4.082200e+01, 4.167400e+01, 4.176300e+01, 4.212900e+01, 4.382800e+01, 8.425333e+06, 9.240934e+06, 1.026708e+07, 1.153797e+07, 1.307946e+07, 1.488037e+07, 1.288182e+07, 1.386796e+07, 1.631792e+07, 2.222742e+07, 2.526840e+07, 3.188992e+07, 7.794453e+02, 8.208530e+02, 8.531007e+02, 8.361971e+02, 7.399811e+02, 7.861134e+02, 9.780114e+02, 8.523959e+02, 6.493414e+02, 6.353414e+02, 7.267341e+02, 9.745803e+02	-507.5343, 0.2753287, -1.106295, -0.9519382, -0.6635816, -0.01722494, 0.6741317, 1.647488, 1.686845, 1.278202, 0.7535583, -0.5340851, -1.544728, -1.222372, -129.8305, 16.46226, -0.3108827, 0.2892301, 0.934343, 1.861456, 1.854569, 1.399681, 0.8287943, -0.5050929, -1.56198, -1.285867, 2, 29.90729, 31.28394, 32.66058, 34.03722, 35.41387, 36.79051, 38.16716, 39.5438, 40.92044, 42.29709, 43.67373, 45.05037, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 28.801, 30.332, 31.997, 34.02, 36.088, 38.438, 39.854, 40.822, 41.674, 41.763, 42.129, 43.828, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Albania	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.230, 59.280, 64.820, 66.220, 67.690, 68.930, 70.420, 72.000, 71.581, 72.950, 75.651, 76.423, 1282697.000, 1476505.000, 1728137.000, 1984060.000, 2263554.000, 2509048.000, 2780097.000, 3075321.000, 3326498.000, 3428038.000, 3508512.000, 3600523.000, 1601.056, 1942.284, 2312.889, 2760.197, 3313.422, 3533.004, 3630.881, 3738.933, 2497.438, 3193.055, 4604.212, 5937.030	-594.0725, 0.3346832, -3.999128, -1.622544, 2.24404, 1.970624, 1.767207, 1.333791, 1.150375, 1.056959, -1.035457, -1.339873, -0.312289, -1.213705, -237.0586, 20.01115, 3.248124, 2.926981, 2.675838, 2.194694, 1.963551, 1.822408, -0.3177351, -0.6698783, 0.3099785, -0.6391646, 2, 59.22913, 60.90254, 62.57596, 64.24938, 65.92279, 67.59621, 69.26962, 70.94304, 72.61646, 74.28987, 75.96329, 77.63671, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 55.23, 59.28, 64.82, 66.22, 67.69, 68.93, 70.42, 72, 71.581, 72.95, 75.651, 76.423, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Algeria	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.077, 45.685, 48.303, 51.407, 54.518, 58.014, 61.368, 65.799, 67.744, 69.152, 70.994, 72.301, 9279525.000, 10270856.000, 11000948.000, 12760499.000, 14760787.000, 17152804.000, 20033753.000, 23254956.000, 26298373.000, 29072015.000, 31287142.000, 33333216.000, 2449.008, 3013.976, 2550.817, 3246.992, 4182.664, 4910.417, 5745.160, 5681.359, 5023.217, 4797.295, 5288.040, 6223.367	-1067.859, 0.5692797, -0.2979744, -0.536373, -0.7647716, -0.5071702, -0.2425688, 0.4070326, 0.914634, 2.499235, 1.597837, 0.1594382, -0.8449604, -2.384359, -204.4865, 34.03798, -0.6280719, -0.4013136, -0.1675554, 0.4512029, 0.9279612, 2.481719, 1.549478, 0.08023599, -0.9550057, -2.525247, 2, 43.37497, 46.22137, 49.06777, 51.91417, 54.76057, 57.60697, 60.45337, 63.29976, 66.14616, 68.99256, 71.83896, 74.68536, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 43.077, 45.685, 48.303, 51.407, 54.518, 58.014, 61.368, 65.799, 67.744, 69.152, 70.994, 72.301, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Angola	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 30.015, 31.999, 34.000, 35.985, 37.928, 39.483, 39.942, 39.906, 40.647, 40.963, 41.003, 42.731, 4232095.000, 4561361.000, 4826015.000, 5247469.000, 5894858.000, 6162675.000, 7016384.000, 7874230.000, 8735988.000, 9875024.000, 10866106.000, 12420476.000, 3520.610, 3827.940, 4269.277, 5522.776, 5473.288, 3008.647, 2756.954, 2430.208, 2627.846, 2277.141, 2773.287, 4797.231	-376.5048, 0.2093399, -2.111654, -1.174353, -0.2200524, 0.7182483, 1.614549, 2.12285, 1.53515, 0.452451, 0.1467517, -0.5839476, -1.590647, -0.9093462, -131.2323, 12.5167, 0.3574398, 1.24968, 2.099921, 2.562161, 1.928402, 0.799642, 0.4478825, -0.3288771, -1.381637, -0.7463962, 2, 32.12665, 33.17335, 34.22005, 35.26675, 36.31345, 37.36015, 38.40685, 39.45355, 40.50025, 41.54695, 42.59365, 43.64035, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 30.015, 31.999, 34, 35.985, 37.928, 39.483, 39.942, 39.906, 40.647, 40.963, 41.003, 42.731, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Argentina	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 62.485, 64.399, 65.142, 65.634, 67.065, 68.481, 69.942, 70.774, 71.868, 73.275, 74.340, 75.320, 17876956.000, 19610538.000, 21283783.000, 22934225.000, 24779799.000, 26983828.000, 29341374.000, 31620918.000, 33958947.000, 36203463.000, 38331121.000, 40301927.000, 5911.315, 6856.856, 7133.166, 8052.953, 9443.039, 10079.027, 8997.897, 9139.671, 9308.419, 10967.282, 8797.641, 12779.380	-389.6063, 0.2317084, -0.2034359, 0.5520221, 0.1364802, -0.5300618, -0.2576037, -0.0001456876, 0.3023124, -0.0242296, -0.08877156, 0.1596865, 0.06614452, -0.1123974, -239.2323, 13.85415, 0.09303993, -0.5342543, -0.2225486, 0.07415714, 0.4158629, 0.1285686, 0.1032744, 0.3909801, 0.3366858, 0.1973916, 2, 62.68844, 63.84698, 65.00552, 66.16406, 67.3226, 68.48115, 69.63969, 70.79823, 71.95677, 73.11531, 74.27386, 75.4324, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 62.485, 64.399, 65.142, 65.634, 67.065, 68.481, 69.942, 70.774, 71.868, 73.275, 74.34, 75.32, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Australia	Oceania	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 69.120, 70.330, 70.930, 71.100, 71.930, 73.490, 74.740, 76.320, 77.560, 78.830, 80.370, 81.235, 8691212.000, 9712569.000, 10794968.000, 11872264.000, 13177000.000, 14074100.000, 15184200.000, 16257249.000, 17481977.000, 18565243.000, 19546792.000, 20434176.000, 10039.596, 10949.650, 12217.227, 14526.125, 16788.629, 18334.198, 19477.009, 21888.889, 23424.767, 26997.937, 30687.755, 34435.367	-376.1163, 0.2277238, 0.7194872, 0.7908683, 0.2522494, -0.7163695, -1.024988, -0.6036072, -0.4922261, -0.05084499, 0.05053613, 0.1819172, 0.5832984, 0.3096795, -258.6399, 13.6159, -0.002715871, -0.9299787, -1.197241, -0.7345042, -0.581767, -0.09902982, 0.04370739, 0.2164446, 0.6591818, 0.426919, 2, 68.40051, 69.53913, 70.67775, 71.81637, 72.95499, 74.09361, 75.23223, 76.37084, 77.50946, 78.64808, 79.7867, 80.92532, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 69.12, 70.33, 70.93, 71.1, 71.93, 73.49, 74.74, 76.32, 77.56, 78.83, 80.37, 81.235, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Austria	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 66.800, 67.480, 69.540, 70.140, 70.630, 72.170, 73.180, 74.940, 76.040, 77.510, 78.980, 79.829, 6927772.000, 6965860.000, 7129864.000, 7376998.000, 7544201.000, 7568430.000, 7574613.000, 7578903.000, 7914969.000, 8069876.000, 8148312.000, 8199783.000, 6137.076, 8842.598, 10750.721, 12834.602, 16661.626, 19749.422, 21597.084, 23687.826, 27042.019, 29095.921, 32417.608, 36126.493	-405.9205, 0.2419923, 0.3515385, -0.1784231, 0.6716154, 0.06165385, -0.6583077, -0.3282692, -0.5282308, 0.02180769, -0.08815385, 0.1718846, 0.4319231, 0.07096154, -253.2371, 14.46904, 0.6311732, 0.004321666, -0.7325299, -0.4193814, -0.636233, -0.1030846, -0.2299361, 0.01321234, 0.2563608, -0.1214908, 2, 66.44846, 67.65842, 68.86838, 70.07835, 71.28831, 72.49827, 73.70823, 74.91819, 76.12815, 77.33812, 78.54808, 79.75804, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 66.8, 67.48, 69.54, 70.14, 70.63, 72.17, 73.18, 74.94, 76.04, 77.51, 78.98, 79.829, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Bahrain	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 50.939, 53.832, 56.923, 59.923, 63.300, 65.593, 69.052, 70.750, 72.601, 73.925, 74.795, 75.635, 120447.000, 138655.000, 171863.000, 202182.000, 230800.000, 297410.000, 377967.000, 454612.000, 529491.000, 598561.000, 656397.000, 708573.000, 9867.085, 11635.799, 12753.275, 14804.673, 18268.658, 19340.102, 19211.147, 18524.024, 19035.579, 20292.017, 23403.559, 29796.048	-859.8258, 0.4675077, -1.810205, -1.254744, -0.5012821, 0.1611795, 1.200641, 1.156103, 2.277564, 1.638026, 1.151487, 0.1379487, -1.32959, -2.827128, -227.2647, 27.95289, 0.03071535, 0.6374019, 1.621089, 1.520775, 2.586462, 1.891148, 1.348835, 0.2795215, -1.243792, -2.797105, 2, 52.74921, 55.08674, 57.42428, 59.76182, 62.09936, 64.4369, 66.77444, 69.11197, 71.44951, 73.78705, 76.12459, 78.46213, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 50.939, 53.832, 56.923, 59.923, 63.3, 65.593, 69.052, 70.75, 72.601, 73.925, 74.795, 75.635, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Bangladesh	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.748400e+01, 3.934800e+01, 4.121600e+01, 4.345300e+01, 4.525200e+01, 4.692300e+01, 5.000900e+01, 5.281900e+01, 5.601800e+01, 5.941200e+01, 6.201300e+01, 6.406200e+01, 4.688686e+07, 5.136547e+07, 5.683929e+07, 6.282188e+07, 7.075930e+07, 8.042831e+07, 9.307441e+07, 1.037642e+08, 1.137046e+08, 1.233153e+08, 1.356568e+08, 1.504483e+08, 6.842442e+02, 6.616375e+02, 6.863416e+02, 7.211861e+02, 6.302336e+02, 6.598772e+02, 6.769819e+02, 7.519794e+02, 8.378102e+02, 9.727700e+02, 1.136390e+03, 1.391254e+03	-936.2158, 0.4981308, 1.348513, 0.721859, 0.09920513, -0.1544487, -0.8461026, -1.665756, -1.07041, -0.7510641, -0.04271795, 0.8606282, 0.9709744, 0.5293205, -172.6303, 29.78389, -0.2654005, -0.4914848, -1.155569, -1.947653, -1.324738, -0.977822, -0.2419063, 0.6890094, 0.826925, 0.4128407, 2, 36.13549, 38.62614, 41.11679, 43.60745, 46.0981, 48.58876, 51.07941, 53.57006, 56.06072, 58.55137, 61.04203, 63.53268, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 37.484, 39.348, 41.216, 43.453, 45.252, 46.923, 50.009, 52.819, 56.018, 59.412, 62.013, 64.062, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Belgium	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 68.000, 69.240, 70.250, 70.940, 71.440, 72.800, 73.930, 75.350, 76.460, 77.530, 78.320, 79.441, 8730405.000, 8989111.000, 9218400.000, 9556500.000, 9709100.000, 9821800.000, 9856303.000, 9870200.000, 10045622.000, 10199787.000, 10311970.000, 10392226.000, 8343.105, 9714.961, 10991.207, 13149.041, 16672.144, 19117.974, 20979.846, 22525.563, 25575.571, 27561.197, 30485.884, 33692.605	-340.2412, 0.2090846, 0.1080769, 0.3026538, 0.2672308, -0.08819231, -0.6336154, -0.3190385, -0.2344615, 0.1401154, 0.2046923, 0.2292692, -0.02615385, 0.04942308, -255.1025, 12.50144, 0.2015463, -0.1355897, -0.6627256, -0.3298616, -0.2269975, 0.1658665, 0.2487306, 0.2915946, 0.05445866, 0.1483227, 2, 67.89192, 68.93735, 69.98277, 71.02819, 72.07362, 73.11904, 74.16446, 75.20988, 76.25531, 77.30073, 78.34615, 79.39158, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 68, 69.24, 70.25, 70.94, 71.44, 72.8, 73.93, 75.35, 76.46, 77.53, 78.32, 79.441, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Benin	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 38.2230, 40.3580, 42.6180, 44.8850, 47.0140, 49.1900, 50.9040, 52.3370, 53.9190, 54.7770, 54.4060, 56.7280, 1738315.0000, 1925173.0000, 2151895.0000, 2427334.0000, 2761407.0000, 3168267.0000, 3641603.0000, 4243788.0000, 4981671.0000, 6066080.0000, 7026113.0000, 8078314.0000, 1062.7522, 959.6011, 949.4991, 1035.8314, 1085.7969, 1029.1613, 1277.8976, 1225.8560, 1191.2077, 1232.9753, 1372.8779, 1441.2849	-612.834, 0.3342329, -1.365513, -0.9016772, -0.3128415, 0.2829942, 0.7408298, 1.245666, 1.288501, 1.050337, 0.9611725, 0.1480082, -1.894156, -1.243321, -168.9786, 19.98422, 0.08178907, 0.6384955, 1.057202, 1.522908, 1.526615, 1.249321, 1.121028, 0.2687342, -1.812559, -1.200853, 2, 39.58851, 41.25968, 42.93084, 44.60201, 46.27317, 47.94433, 49.6155, 51.28666, 52.95783, 54.62899, 56.30016, 57.97132, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 38.223, 40.358, 42.618, 44.885, 47.014, 49.19, 50.904, 52.337, 53.919, 54.777, 54.406, 56.728, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Bolivia	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 40.414, 41.890, 43.428, 45.032, 46.714, 50.023, 53.859, 57.251, 59.957, 62.050, 63.883, 65.554, 2883315.000, 3211738.000, 3593918.000, 4040665.000, 4565872.000, 5079716.000, 5642224.000, 6156369.000, 6893451.000, 7693188.000, 8445134.000, 9119152.000, 2677.326, 2127.686, 2180.973, 2586.886, 2980.331, 3548.098, 3156.510, 2753.691, 2961.700, 3326.143, 3413.263, 3822.137	-937.1111, 0.4999322, 1.657551, 0.6338904, -0.3277704, -1.223431, -2.041092, -1.231753, 0.1045862, 0.9969254, 1.203265, 0.7966037, 0.1299429, -0.6987179, -181.8812, 29.8916, -0.7381891, -1.616604, -2.41702, -1.590435, -0.2368505, 0.6727342, 0.8963189, 0.5069035, -0.1425118, -0.9539271, 2, 38.75645, 41.25611, 43.75577, 46.25543, 48.75509, 51.25475, 53.75441, 56.25407, 58.75374, 61.2534, 63.75306, 66.25272, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 40.414, 41.89, 43.428, 45.032, 46.714, 50.023, 53.859, 57.251, 59.957, 62.05, 63.883, 65.554, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Bosnia and Herzegovina	Europe	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 53.8200, 58.4500, 61.9300, 64.7900, 67.4500, 69.8600, 70.6900, 71.1400, 72.1780, 73.2440, 74.0900, 74.8520, 2791000.0000, 3076000.0000, 3349000.0000, 3585000.0000, 3819000.0000, 4086000.0000, 4172693.0000, 4338977.0000, 4256013.0000, 3607000.0000, 4165416.0000, 4552198.0000, 973.5332, 1353.9892, 1709.6837, 2172.3524, 2860.1698, 3528.4813, 4126.6132, 4314.1148, 2546.7814, 4766.3559, 6018.9752, 7446.2988	-624.6327, 0.3497552, -4.269564, -1.38834, 0.3428834, 1.454107, 2.365331, 3.026555, 2.107779, 0.8090023, 0.09822611, -0.5845501, -1.487326, -2.474103, -234.5468, 20.91232, 1.36364, 2.446497, 3.329354, 3.962211, 3.015068, 1.687925, 0.9487816, 0.2376386, -0.6935044, -1.708647, 2, 58.08956, 59.83834, 61.58712, 63.33589, 65.08467, 66.83345, 68.58222, 70.331, 72.07977, 73.82855, 75.57733, 77.3261, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 53.82, 58.45, 61.93, 64.79, 67.45, 69.86, 70.69, 71.14, 72.178, 73.244, 74.09, 74.852, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Botswana	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 47.6220, 49.6180, 51.5200, 53.2980, 56.0240, 59.3190, 61.4840, 63.6220, 62.7450, 52.5560, 46.6340, 50.7280, 442308.0000, 474639.0000, 512764.0000, 553541.0000, 619351.0000, 781472.0000, 970347.0000, 1151184.0000, 1342614.0000, 1536536.0000, 1630347.0000, 1639131.0000, 851.2411, 918.2325, 983.6540, 1214.7093, 2263.6111, 3214.8578, 4551.1421, 6205.8839, 7954.1116, 8647.1423, 11003.6051, 12569.8518	-65.49586, 0.06066853, -5.307115, -3.614458, -2.015801, -0.5411434, 1.881514, 4.873171, 6.734829, 8.569486, 7.389143, -3.103199, -9.328542, -5.537885, -189.1313, 3.627451, -0.4656616, 0.8496905, 3.113043, 5.945395, 7.647747, 9.323099, 7.983451, -2.668197, -9.052845, -5.421493, 2, 52.92912, 53.23246, 53.5358, 53.83914, 54.14249, 54.44583, 54.74917, 55.05251, 55.35586, 55.6592, 55.96254, 56.26588, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 47.622, 49.618, 51.52, 53.298, 56.024, 59.319, 61.484, 63.622, 62.745, 52.556, 46.634, 50.728, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Brazil	Americas	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.091700e+01, 5.328500e+01, 5.566500e+01, 5.763200e+01, 5.950400e+01, 6.148900e+01, 6.333600e+01, 6.520500e+01, 6.705700e+01, 6.938800e+01, 7.100600e+01, 7.239000e+01, 5.660256e+07, 6.555117e+07, 7.603939e+07, 8.804982e+07, 1.008401e+08, 1.143140e+08, 1.289629e+08, 1.429381e+08, 1.559760e+08, 1.685467e+08, 1.799142e+08, 1.900106e+08, 2.108944e+03, 2.487366e+03, 3.336586e+03, 3.429864e+03, 4.985711e+03, 6.660119e+03, 7.030836e+03, 7.807096e+03, 6.950283e+03, 7.957981e+03, 8.131213e+03, 9.065801e+03	-709.9427, 0.3900895, -0.5950385, -0.177486, 0.2520664, 0.2686189, 0.1901713, 0.2247238, 0.1212762, 0.03982867, -0.05861888, 0.3219336, -0.01051399, -0.5769615, -215.604, 23.32396, 0.3919429, 0.405593, 0.3242431, 0.3558932, 0.2495433, 0.1651934, 0.06384349, 0.4414936, 0.1061437, -0.4632062, 2, 51.51204, 53.46249, 55.41293, 57.36338, 59.31383, 61.26428, 63.21472, 65.16517, 67.11562, 69.06607, 71.01651, 72.96696, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 50.917, 53.285, 55.665, 57.632, 59.504, 61.489, 63.336, 65.205, 67.057, 69.388, 71.006, 72.39, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Bulgaria	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 59.600, 66.610, 69.510, 70.420, 70.900, 70.810, 71.080, 71.340, 71.190, 70.320, 72.140, 73.005, 7274900.000, 7651254.000, 8012946.000, 8310226.000, 8576200.000, 8797022.000, 8892098.000, 8971958.000, 8658506.000, 8066057.000, 7661799.000, 7322858.000, 2444.287, 3008.671, 4254.338, 5577.003, 6597.494, 7612.240, 8224.192, 8239.855, 6302.623, 5970.389, 7696.778, 10680.793	-218.6473, 0.1456888, -6.137308, 0.1442483, 2.315804, 2.49736, 2.248916, 1.430472, 0.972028, 0.5035839, -0.3748601, -1.973304, -0.8817483, -0.7451923, -241.5994, 8.710924, 3.464353, 3.745675, 3.596997, 2.87832, 2.519642, 2.150964, 1.372286, -0.1263916, 1.064931, 1.301253, 2, 65.73731, 66.46575, 67.1942, 67.92264, 68.65108, 69.37953, 70.10797, 70.83642, 71.56486, 72.2933, 73.02175, 73.75019, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 59.6, 66.61, 69.51, 70.42, 70.9, 70.81, 71.08, 71.34, 71.19, 70.32, 72.14, 73.005, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Burkina Faso	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.197500e+01, 3.490600e+01, 3.781400e+01, 4.069700e+01, 4.359100e+01, 4.613700e+01, 4.812200e+01, 4.955700e+01, 5.026000e+01, 5.032400e+01, 5.065000e+01, 5.229500e+01, 4.469979e+06, 4.713416e+06, 4.919632e+06, 5.127935e+06, 5.433886e+06, 5.889574e+06, 6.634596e+06, 7.586551e+06, 8.878303e+06, 1.035284e+07, 1.225121e+07, 1.432620e+07, 5.432552e+02, 6.171835e+02, 7.225120e+02, 7.948266e+02, 8.547360e+02, 7.433870e+02, 8.071986e+02, 9.120631e+02, 9.317528e+02, 9.462950e+02, 1.037645e+03, 1.217033e+03	-675.7942, 0.3639748, -2.709692, -1.598566, -0.5104406, 0.5526853, 1.626811, 2.352937, 2.518063, 2.133189, 1.016315, -0.7395594, -2.233434, -2.408308, -154.8246, 21.76253, 0.2442503, 1.242254, 2.251257, 2.91226, 3.012263, 2.562267, 1.38027, -0.4407268, -1.999723, -2.23972, 2, 34.68469, 36.50457, 38.32444, 40.14431, 41.96419, 43.78406, 45.60394, 47.42381, 49.24369, 51.06356, 52.88343, 54.70331, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 31.975, 34.906, 37.814, 40.697, 43.591, 46.137, 48.122, 49.557, 50.26, 50.324, 50.65, 52.295, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Burundi	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 39.0310, 40.5330, 42.0450, 43.5480, 44.0570, 45.9100, 47.4710, 48.2110, 44.7360, 45.3260, 47.3600, 49.5800, 2445618.0000, 2667518.0000, 2961915.0000, 3330989.0000, 3529983.0000, 3834415.0000, 4580410.0000, 5126023.0000, 5809236.0000, 6121610.0000, 7021078.0000, 8390505.0000, 339.2965, 379.5646, 355.2032, 412.9775, 464.0995, 556.1033, 559.6032, 621.8188, 631.6999, 463.1151, 446.4035, 430.0707	-260.2914, 0.1541343, -1.547641, -0.8163124, -0.07498368, 0.657345, 0.3956737, 1.478002, 2.268331, 2.23766, -2.008012, -2.188683, -0.9253543, 0.5239744, -155.2518, 9.215889, 0.3416532, 1.043139, 0.750624, 1.802109, 2.561595, 2.50008, -1.776435, -1.987949, -0.7554638, 0.6630216, 2, 40.57864, 41.34931, 42.11998, 42.89066, 43.66133, 44.432, 45.20267, 45.97334, 46.74401, 47.51468, 48.28535, 49.05603, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 39.031, 40.533, 42.045, 43.548, 44.057, 45.91, 47.471, 48.211, 44.736, 45.326, 47.36, 49.58, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Cambodia	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.941700e+01, 4.136600e+01, 4.341500e+01, 4.541500e+01, 4.031700e+01, 3.122000e+01, 5.095700e+01, 5.391400e+01, 5.580300e+01, 5.653400e+01, 5.675200e+01, 5.972300e+01, 4.693836e+06, 5.322536e+06, 6.083619e+06, 6.960067e+06, 7.450606e+06, 6.978607e+06, 7.272485e+06, 8.371791e+06, 1.015009e+07, 1.178296e+07, 1.292671e+07, 1.413186e+07, 3.684693e+02, 4.340383e+02, 4.969136e+02, 5.234323e+02, 4.216240e+02, 5.249722e+02, 6.244755e+02, 6.838956e+02, 6.823032e+02, 7.342852e+02, 8.962260e+02, 1.713779e+03	-735.7868, 0.3959028, 2.401577, 2.371063, 2.440549, 2.461035, -4.616479, -15.69299, 2.064493, 3.041979, 2.951465, 1.702951, -0.05856294, 0.9329231, -165.94, 23.67154, 1.629535, 1.770411, -5.186713, -16.14284, 1.73504, 2.832916, 2.862792, 1.734669, 0.09354479, 1.205421, 2, 37.01542, 38.99494, 40.97445, 42.95397, 44.93348, 46.91299, 48.89251, 50.87202, 52.85153, 54.83105, 56.81056, 58.79008, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 39.417, 41.366, 43.415, 45.415, 40.317, 31.22, 50.957, 53.914, 55.803, 56.534, 56.752, 59.723, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Cameroon	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 38.523, 40.428, 42.643, 44.799, 47.049, 49.355, 52.961, 54.985, 54.314, 52.199, 49.856, 50.430, 5009067.000, 5359923.000, 5793633.000, 6335506.000, 7021028.000, 7959865.000, 9250831.000, 10780667.000, 12467171.000, 14195809.000, 15929988.000, 17696293.000, 1172.668, 1313.048, 1399.607, 1508.453, 1684.147, 1783.433, 2367.983, 2602.664, 1793.163, 1694.337, 1934.011, 2042.095	-447.0372, 0.2501469, -2.726462, -2.072196, -1.10793, -0.2026643, 0.7966014, 1.851867, 4.207133, 4.980399, 3.058664, -0.3070699, -3.900804, -4.577538, -166.722, 14.95661, -0.279495, 0.5297886, 1.433072, 2.392356, 4.65164, 5.328923, 3.311207, -0.1505094, -3.840226, -4.612942, 2, 41.24946, 42.5002, 43.75093, 45.00166, 46.2524, 47.50313, 48.75387, 50.0046, 51.25534, 52.50607, 53.7568, 55.00754, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 38.523, 40.428, 42.643, 44.799, 47.049, 49.355, 52.961, 54.985, 54.314, 52.199, 49.856, 50.43, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Canada	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 68.750, 69.960, 71.300, 72.130, 72.880, 74.210, 75.760, 76.860, 77.950, 78.610, 79.770, 80.653, 14785584.000, 17010154.000, 18985849.000, 20819767.000, 22284500.000, 23796400.000, 25201900.000, 26549700.000, 28523502.000, 30305843.000, 31902268.000, 33390141.000, 11367.161, 12489.950, 13462.486, 16076.588, 18970.571, 22090.883, 22898.792, 26626.515, 26342.884, 28954.926, 33328.965, 36319.235	-358.3489, 0.2188692, -0.1338462, -0.01819231, 0.2274615, -0.03688462, -0.3812308, -0.1455769, 0.3100769, 0.3157308, 0.3113846, -0.1229615, -0.05730769, -0.2686538, -259.4707, 13.08648, 0.2556881, -0.007883681, -0.3514555, -0.1150273, 0.3414009, 0.3478291, 0.3442573, -0.08931448, -0.02288628, -0.2334581, 2, 68.88385, 69.97819, 71.07254, 72.16688, 73.26123, 74.35558, 75.44992, 76.54427, 77.63862, 78.73296, 79.82731, 80.92165, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 68.75, 69.96, 71.3, 72.13, 72.88, 74.21, 75.76, 76.86, 77.95, 78.61, 79.77, 80.653, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Central African Republic	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 35.4630, 37.4640, 39.4750, 41.4780, 43.4570, 46.7750, 48.2950, 50.4850, 49.3960, 46.0660, 43.3080, 44.7410, 1291695.0000, 1392284.0000, 1523478.0000, 1733638.0000, 1927260.0000, 2167533.0000, 2476971.0000, 2840009.0000, 3265124.0000, 3696513.0000, 4048013.0000, 4369038.0000, 1071.3107, 1190.8443, 1193.0688, 1136.0566, 1070.0133, 1109.3743, 956.7530, 844.8764, 747.9055, 740.5063, 738.6906, 706.0165	-320.1742, 0.1839056, -3.346513, -2.265041, -1.173569, -0.09009674, 0.9693753, 3.367847, 3.968319, 5.238791, 3.230263, -1.019265, -4.696793, -4.183321, -151.9595, 10.99596, -0.198201, 0.7857459, 1.745693, 4.04464, 4.545586, 5.716533, 3.60848, -0.7405729, -4.517626, -4.103679, 2, 38.80951, 39.72904, 40.64857, 41.5681, 42.48762, 43.40715, 44.32668, 45.24621, 46.16574, 47.08526, 48.00479, 48.92432, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 35.463, 37.464, 39.475, 41.478, 43.457, 46.775, 48.295, 50.485, 49.396, 46.066, 43.308, 44.741, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Chad	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.809200e+01, 3.988100e+01, 4.171600e+01, 4.360100e+01, 4.556900e+01, 4.738300e+01, 4.951700e+01, 5.105100e+01, 5.172400e+01, 5.157300e+01, 5.052500e+01, 5.065100e+01, 2.682462e+06, 2.894855e+06, 3.150417e+06, 3.495967e+06, 3.899068e+06, 4.388260e+06, 4.875118e+06, 5.498955e+06, 6.429417e+06, 7.562011e+06, 8.835739e+06, 1.023881e+07, 1.178666e+03, 1.308496e+03, 1.389818e+03, 1.196811e+03, 1.104104e+03, 1.133985e+03, 7.979081e+02, 9.523861e+02, 1.058064e+03, 1.004961e+03, 1.156182e+03, 1.704064e+03	-454.523, 0.2532441, -1.717372, -1.194592, -0.6258124, -0.007032634, 0.6947471, 1.242527, 2.110307, 2.378086, 1.784866, 0.3676457, -1.946575, -3.086795, -162.0284, 15.14179, -0.1204726, 0.445117, 1.093707, 1.588296, 2.402886, 2.617475, 1.971065, 0.5006542, -1.866756, -3.060167, 2, 39.80937, 41.07559, 42.34181, 43.60803, 44.87425, 46.14047, 47.40669, 48.67291, 49.93913, 51.20535, 52.47157, 53.73779, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 38.092, 39.881, 41.716, 43.601, 45.569, 47.383, 49.517, 51.051, 51.724, 51.573, 50.525, 50.651, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Chile	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 54.745, 56.074, 57.924, 60.523, 63.441, 67.052, 70.565, 72.492, 74.126, 75.816, 77.860, 78.553, 6377619.000, 7048426.000, 7961258.000, 8858908.000, 9717524.000, 10599793.000, 11487112.000, 12463354.000, 13572994.000, 14599929.000, 15497046.000, 16284741.000, 3939.979, 4315.623, 4519.094, 5106.654, 5494.024, 4756.764, 5095.666, 5547.064, 7596.126, 10118.053, 10778.784, 13171.639	-876.4819, 0.4768441, 0.4272949, -0.6279254, -1.162146, -0.947366, -0.4135862, 0.8131935, 1.941973, 1.484753, 0.7345326, 0.04031235, -0.2999079, -1.991128, -233.5875, 28.51113, -1.150077, -0.9828232, -0.4965696, 0.6826839, 1.763937, 1.259191, 0.4614446, -0.2803019, -0.6680483, -2.406795, 2, 54.31771, 56.70193, 59.08615, 61.47037, 63.85459, 66.23881, 68.62303, 71.00725, 73.39147, 75.77569, 78.15991, 80.54413, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 54.745, 56.074, 57.924, 60.523, 63.441, 67.052, 70.565, 72.492, 74.126, 75.816, 77.86, 78.553, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
China	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.400000e+01, 5.054896e+01, 4.450136e+01, 5.838112e+01, 6.311888e+01, 6.396736e+01, 6.552500e+01, 6.727400e+01, 6.869000e+01, 7.042600e+01, 7.202800e+01, 7.296100e+01, 5.562635e+08, 6.374080e+08, 6.657700e+08, 7.545500e+08, 8.620300e+08, 9.434550e+08, 1.000281e+09, 1.084035e+09, 1.164970e+09, 1.230075e+09, 1.280400e+09, 1.318683e+09, 4.004486e+02, 5.759870e+02, 4.876740e+02, 6.127057e+02, 6.769001e+02, 7.412375e+02, 9.624214e+02, 1.378904e+03, 1.655784e+03, 2.289234e+03, 3.119281e+03, 4.959115e+03	-988.7649, 0.5307149, -3.190482, 0.7049042, -7.99627, 3.229916, 5.314101, 3.509007, 2.413073, 1.508499, 0.2709243, -0.6466499, -1.698224, -3.418798, -214.03, 31.73213, -7.493023, 3.826397, 6.003817, 4.291957, 3.289256, 2.477916, 1.333576, 0.5092358, -0.4491044, -2.076445, 2, 47.19048, 49.84406, 52.49763, 55.1512, 57.80478, 60.45835, 63.11193, 65.7655, 68.41908, 71.07265, 73.72622, 76.3798, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 44, 50.54896, 44.50136, 58.38112, 63.11888, 63.96736, 65.525, 67.274, 68.69, 70.426, 72.028, 72.961, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Colombia	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 50.643, 55.118, 57.863, 59.963, 61.623, 63.837, 66.653, 67.768, 68.421, 70.313, 71.682, 72.889, 12350771.000, 14485993.000, 17009885.000, 19764027.000, 22542890.000, 25094412.000, 27764644.000, 30964245.000, 34202721.000, 37657830.000, 41008227.000, 44227550.000, 2144.115, 2323.806, 2492.351, 2678.730, 3264.660, 3815.808, 4397.576, 4903.219, 5444.649, 6117.362, 5755.260, 7006.580	-689.7976, 0.3807503, -2.784115, -0.2128671, 0.6283811, 0.8246294, 0.5808776, 0.8911259, 1.803374, 1.014622, -0.2361294, -0.2478811, -0.7826329, -1.479385, -221.3483, 22.76556, 1.19086, 1.414088, 1.197316, 1.534544, 2.473772, 1.712, 0.4882283, 0.5034563, -0.004315592, -0.6740875, 2, 53.42712, 55.33087, 57.23462, 59.13837, 61.04212, 62.94587, 64.84963, 66.75338, 68.65713, 70.56088, 72.46463, 74.36838, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 50.643, 55.118, 57.863, 59.963, 61.623, 63.837, 66.653, 67.768, 68.421, 70.313, 71.682, 72.889, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Comoros	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 40.7150, 42.4600, 44.4670, 46.4720, 48.9440, 50.9390, 52.9330, 54.9260, 57.9390, 60.6600, 62.9740, 65.1520, 153936.0000, 170928.0000, 191689.0000, 217378.0000, 250027.0000, 304739.0000, 348643.0000, 395114.0000, 454429.0000, 527982.0000, 614382.0000, 710960.0000, 1102.9909, 1211.1485, 1406.6483, 1876.0296, 1937.5777, 1172.6030, 1267.1001, 1315.9808, 1246.9074, 1173.6182, 1075.8116, 986.1479	-839.1671, 0.4503909, 0.719, 0.2120455, -0.03290909, -0.2798636, -0.05981818, -0.3167727, -0.5747273, -0.8336818, -0.07263636, 0.3964091, 0.4584545, 0.3845, -181.4557, 26.92946, -0.2015656, -0.4451718, -0.221778, -0.4753842, -0.7299904, -0.9855966, -0.2212028, 0.2511911, 0.3165849, 0.2459787, 2, 39.996, 42.24795, 44.49991, 46.75186, 49.00382, 51.25577, 53.50773, 55.75968, 58.01164, 60.26359, 62.51555, 64.7675, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 40.715, 42.46, 44.467, 46.472, 48.944, 50.939, 52.933, 54.926, 57.939, 60.66, 62.974, 65.152, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Congo, Dem. Rep.	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.914300e+01, 4.065200e+01, 4.212200e+01, 4.405600e+01, 4.598900e+01, 4.780400e+01, 4.778400e+01, 4.741200e+01, 4.554800e+01, 4.258700e+01, 4.496600e+01, 4.646200e+01, 1.410000e+07, 1.557793e+07, 1.748643e+07, 1.994107e+07, 2.300767e+07, 2.648087e+07, 3.064650e+07, 3.548164e+07, 4.167214e+07, 4.779899e+07, 5.537985e+07, 6.460676e+07, 7.805423e+02, 9.058602e+02, 8.963146e+02, 8.615932e+02, 9.048961e+02, 7.957573e+02, 6.737478e+02, 6.727748e+02, 4.577192e+02, 3.121884e+02, 2.411659e+02, 2.775519e+02	-141.3618, 0.09391538, -2.818077, -1.778654, -0.7782308, 0.6861923, 2.149615, 3.495038, 3.005462, 2.163885, -0.1696923, -3.600269, -1.690846, -0.6644231, -154.3041, 5.615323, 0.02394693, 1.413015, 2.801082, 4.07115, 3.506217, 2.589285, 0.1803524, -3.32558, -1.491512, -0.5404448, 2, 41.96108, 42.43065, 42.90023, 43.36981, 43.83938, 44.30896, 44.77854, 45.24812, 45.71769, 46.18727, 46.65685, 47.12642, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 39.143, 40.652, 42.122, 44.056, 45.989, 47.804, 47.784, 47.412, 45.548, 42.587, 44.966, 46.462, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Congo, Rep.	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.111, 45.053, 48.435, 52.040, 54.907, 55.625, 56.695, 57.470, 56.433, 52.962, 52.970, 55.322, 854885.000, 940458.000, 1047924.000, 1179760.000, 1340458.000, 1536769.000, 1774735.000, 2064095.000, 2409073.000, 2800947.000, 3328795.000, 3800610.000, 2125.621, 2315.057, 2464.783, 2677.940, 3213.153, 3259.179, 4879.508, 4201.195, 4016.240, 3484.164, 3484.062, 3632.558	-333.6902, 0.1950958, -5.025782, -3.059261, -0.6527401, 1.976781, 3.868302, 3.610823, 3.705344, 3.504865, 1.492386, -2.954093, -3.921572, -2.545051, -181.872, 11.66503, 0.761068, 3.263608, 5.028148, 4.643688, 4.611228, 4.283768, 2.144308, -2.429152, -3.523612, -2.274072, 2, 47.13678, 48.11226, 49.08774, 50.06322, 51.0387, 52.01418, 52.98966, 53.96514, 54.94061, 55.91609, 56.89157, 57.86705, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 42.111, 45.053, 48.435, 52.04, 54.907, 55.625, 56.695, 57.47, 56.433, 52.962, 52.97, 55.322, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Costa Rica	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 57.206, 60.026, 62.842, 65.424, 67.849, 70.750, 73.450, 74.752, 75.713, 77.260, 78.123, 78.782, 926317.000, 1112300.000, 1345187.000, 1588717.000, 1834796.000, 2108457.000, 2424367.000, 2799811.000, 3173216.000, 3518107.000, 3834934.000, 4133884.000, 2627.009, 2990.011, 3460.937, 4161.728, 5118.147, 5926.877, 5262.735, 5629.915, 6160.416, 6677.045, 7723.447, 9645.061	-727.1404, 0.4027895, -1.898705, -1.092653, -0.2906002, 0.2774522, 0.6885047, 1.575557, 2.26161, 1.549662, 0.4967145, 0.0297669, -1.121181, -2.476128, -243.1156, 24.08331, 0.2341256, 0.7583506, 1.125576, 1.968801, 2.611026, 1.855251, 0.7584759, 0.2477009, -0.947074, -2.345849, 2, 59.10471, 61.11865, 63.1326, 65.14655, 67.1605, 69.17444, 71.18839, 73.20234, 75.21629, 77.23023, 79.24418, 81.25813, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 57.206, 60.026, 62.842, 65.424, 67.849, 70.75, 73.45, 74.752, 75.713, 77.26, 78.123, 78.782, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
⋮	⋮	⋮	⋮
Sierra Leone	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 30.3310, 31.5700, 32.7670, 34.1130, 35.4000, 36.7880, 38.4450, 40.0060, 38.3330, 39.8970, 41.0120, 42.5680, 2143249.0000, 2295678.0000, 2467895.0000, 2662190.0000, 2879013.0000, 3140897.0000, 3464522.0000, 3868905.0000, 4260884.0000, 4578212.0000, 5359092.0000, 6144562.0000, 879.7877, 1004.4844, 1116.6399, 1206.0435, 1353.7598, 1348.2852, 1465.0108, 1294.4478, 1068.6963, 574.6482, 699.4897, 862.5408	-386.913, 0.214035, -0.5522051, -0.38338, -0.2565548, 0.0192704, 0.2360956, 0.5539207, 1.140746, 1.631571, -1.111604, -0.6177786, -0.5729534, -0.08712821, -127.3721, 12.79743, -0.09417617, 0.1645941, 0.3643645, 0.6651348, 1.234905, 1.708675, -1.051554, -0.574784, -0.5470137, -0.07824335, 2, 30.88321, 31.95338, 33.02355, 34.09373, 35.1639, 36.23408, 37.30425, 38.37443, 39.4446, 40.51478, 41.58495, 42.65513, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 30.331, 31.57, 32.767, 34.113, 35.4, 36.788, 38.445, 40.006, 38.333, 39.897, 41.012, 42.568, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Singapore	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 60.396, 63.179, 65.798, 67.946, 69.521, 70.795, 71.760, 73.560, 75.788, 77.158, 78.770, 79.972, 1127000.000, 1445929.000, 1750200.000, 1977600.000, 2152400.000, 2325300.000, 2651869.000, 2794552.000, 3235865.000, 3802309.000, 4197776.000, 4553009.000, 2315.138, 2843.104, 3674.736, 4977.419, 8597.756, 11210.089, 15169.161, 18861.531, 24769.891, 33519.477, 36023.105, 47143.180	-603.5636, 0.340886, -1.449885, -0.3713147, 0.5432552, 0.9868252, 0.8573951, 0.426965, -0.312465, -0.2168951, 0.3066748, -0.02775524, -0.1201853, -0.6226154, -246.7142, 20.38202, 0.874973, 1.315487, 1.183001, 0.7495156, 0.007029838, 0.09954404, 0.6200582, 0.2825724, 0.1870867, -0.3183991, 2, 61.84588, 63.55031, 65.25474, 66.95917, 68.6636, 70.36803, 72.07247, 73.7769, 75.48133, 77.18576, 78.89019, 80.59462, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 60.396, 63.179, 65.798, 67.946, 69.521, 70.795, 71.76, 73.56, 75.788, 77.158, 78.77, 79.972, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Slovak Republic	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 64.360, 67.450, 70.330, 70.980, 70.350, 70.450, 70.800, 71.080, 71.380, 72.710, 73.800, 74.663, 3558137.000, 3844277.000, 4237384.000, 4442238.000, 4593433.000, 4827803.000, 5048043.000, 5199318.000, 5302888.000, 5383010.000, 5410052.000, 5447502.000, 5074.659, 6093.263, 7481.108, 8412.902, 9674.168, 10922.664, 11348.546, 12037.268, 9498.468, 12126.231, 13638.778, 18678.314	-194.6441, 0.1340441, -2.649872, -0.2300921, 1.979688, 1.959467, 0.6592471, 0.08902681, -0.2311935, -0.6214138, -0.991634, -0.3318543, 0.08792541, 0.2807051, -244.8984, 8.014669, 2.519139, 2.522793, 1.246446, 0.7000992, 0.4037525, 0.03740576, -0.308941, 0.3747123, 0.8183656, 1.035019, 2, 67.00987, 67.68009, 68.35031, 69.02053, 69.69075, 70.36097, 71.03119, 71.70141, 72.37163, 73.04185, 73.71207, 74.38229, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 64.36, 67.45, 70.33, 70.98, 70.35, 70.45, 70.8, 71.08, 71.38, 72.71, 73.8, 74.663, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Slovenia	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 65.570, 67.850, 69.150, 69.180, 69.820, 70.970, 71.063, 72.250, 73.640, 75.130, 76.660, 77.926, 1489518.000, 1533070.000, 1582962.000, 1646912.000, 1694510.000, 1746919.000, 1861252.000, 1945870.000, 1999210.000, 2011612.000, 2011497.000, 2009245.000, 4215.042, 5862.277, 7402.303, 9405.489, 12383.486, 15277.030, 17866.722, 18678.535, 14214.717, 17161.107, 20660.019, 25768.258	-325.3361, 0.2005238, -0.5163462, 0.761035, 1.058416, 0.0857972, -0.2768217, -0.1294406, -1.039059, -0.8546783, -0.4672972, 0.02008392, 0.547465, 0.8108462, -248.0323, 11.98958, 1.043497, 0.128457, -0.1765835, 0.02837609, -0.8236644, -0.5817048, -0.1367453, 0.4082143, 0.9931738, 1.314133, 2, 66.08635, 67.08897, 68.09158, 69.0942, 70.09682, 71.09944, 72.10206, 73.10468, 74.1073, 75.10992, 76.11253, 77.11515, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 65.57, 67.85, 69.15, 69.18, 69.82, 70.97, 71.063, 72.25, 73.64, 75.13, 76.66, 77.926, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Somalia	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 32.9780, 34.9770, 36.9810, 38.9770, 40.9730, 41.9740, 42.9550, 44.5010, 39.6580, 43.7950, 45.9360, 48.1590, 2526994.0000, 2780415.0000, 3080153.0000, 3428839.0000, 3840161.0000, 4353666.0000, 5828892.0000, 6921858.0000, 6099799.0000, 6633514.0000, 7753310.0000, 9118773.0000, 1135.7498, 1258.1474, 1369.4883, 1284.7332, 1254.5761, 1450.9925, 1176.8070, 1093.2450, 926.9603, 930.5964, 882.0818, 926.1411	-413.4519, 0.2295734, -1.697397, -0.8462646, 0.009868298, 0.8580012, 1.706134, 1.559267, 1.3924, 1.790533, -4.200334, -1.211202, -0.2180688, 0.8570641, -141.9889, 13.72649, 0.4595166, 1.277042, 2.094568, 1.917094, 1.719619, 2.087145, -3.934329, -0.9758038, -0.01327816, 1.031247, 2, 34.6754, 35.82326, 36.97113, 38.119, 39.26687, 40.41473, 41.5626, 42.71047, 43.85833, 45.0062, 46.15407, 47.30194, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 32.978, 34.977, 36.981, 38.977, 40.973, 41.974, 42.955, 44.501, 39.658, 43.795, 45.936, 48.159, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
South Africa	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 45.009, 47.985, 49.951, 51.927, 53.696, 55.527, 58.161, 60.834, 61.888, 60.236, 53.365, 49.339, 14264935.000, 16151549.000, 18356657.000, 20997321.000, 23935810.000, 27129932.000, 31140029.000, 35933379.000, 39964159.000, 42835005.000, 44433622.000, 43997828.000, 4725.296, 5487.104, 5768.730, 7114.478, 7765.963, 8028.651, 8568.266, 7825.823, 7225.069, 7479.188, 7710.946, 9269.658	-280.8579, 0.1691594, -4.332282, -2.202079, -1.081876, 0.04832634, 0.9715291, 1.956732, 3.744935, 5.572138, 5.78034, 3.282543, -4.434254, -9.306051, -187.0378, 10.11426, 0.07204319, 1.121359, 1.963674, 2.867989, 4.575305, 6.32162, 6.448936, 3.870251, -3.927433, -8.880118, 2, 49.34128, 50.18708, 51.03288, 51.87867, 52.72447, 53.57027, 54.41607, 55.26186, 56.10766, 56.95346, 57.79925, 58.64505, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 45.009, 47.985, 49.951, 51.927, 53.696, 55.527, 58.161, 60.834, 61.888, 60.236, 53.365, 49.339, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Spain	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 64.940, 66.660, 69.690, 71.440, 73.060, 74.390, 76.300, 76.900, 77.570, 78.770, 79.780, 80.941, 28549870.000, 29841614.000, 31158061.000, 32850275.000, 34513161.000, 36439000.000, 37983310.000, 38880702.000, 39549438.000, 39855442.000, 40152517.000, 40448191.000, 3834.035, 4564.802, 5693.844, 7993.512, 10638.751, 13236.921, 13926.170, 15764.983, 18603.065, 20445.299, 24835.472, 28821.064	-481.899, 0.2809308, -1.537821, -1.222474, 0.4028718, 0.7482179, 0.9635641, 0.8889103, 1.394256, 0.5896026, -0.1450513, -0.3497051, -0.744359, -0.9880128, -257.0482, 16.79722, 0.8781345, 1.165818, 1.323501, 1.191184, 1.638867, 0.7765504, -0.01576638, -0.2780832, -0.7304, -1.031717, 2, 66.47782, 67.88247, 69.28713, 70.69178, 72.09644, 73.50109, 74.90574, 76.3104, 77.71505, 79.11971, 80.52436, 81.92901, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 64.94, 66.66, 69.69, 71.44, 73.06, 74.39, 76.3, 76.9, 77.57, 78.77, 79.78, 80.941, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Sri Lanka	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 57.593, 61.456, 62.192, 64.266, 65.042, 65.949, 68.757, 69.011, 70.379, 70.457, 70.815, 72.396, 7982342.000, 9128546.000, 10421936.000, 11737396.000, 13016733.000, 14116836.000, 15410151.000, 16495304.000, 17587060.000, 18698655.000, 19576783.000, 20378239.000, 1083.532, 1072.547, 1074.472, 1135.514, 1213.396, 1348.776, 1648.080, 1876.767, 2153.739, 2664.477, 3015.379, 3970.095	-418.2424, 0.2448944, -2.198487, 0.4400408, -0.04843124, 0.8010967, 0.3526247, 0.03515268, 1.618681, 0.6482086, 0.7917366, -0.3547354, -1.221207, -0.8646795, -230.4531, 14.64256, 0.3051507, 1.215923, 0.8286957, 0.5724682, 2.217241, 1.308013, 1.512786, 0.4275583, -0.3776692, 0.04010331, 2, 59.79149, 61.01596, 62.24043, 63.4649, 64.68938, 65.91385, 67.13832, 68.36279, 69.58726, 70.81174, 72.03621, 73.26068, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 57.593, 61.456, 62.192, 64.266, 65.042, 65.949, 68.757, 69.011, 70.379, 70.457, 70.815, 72.396, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Sudan	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 38.635, 39.624, 40.870, 42.858, 45.083, 47.800, 50.338, 51.744, 53.556, 55.373, 56.369, 58.556, 8504667.000, 9753392.000, 11183227.000, 12716129.000, 14597019.000, 17104986.000, 20367053.000, 24725960.000, 28227588.000, 32160729.000, 37090298.000, 42292929.000, 1615.991, 1770.337, 1959.594, 1687.998, 1659.653, 2202.988, 1895.544, 1507.819, 1492.197, 1632.211, 1993.398, 2602.395	-709.3023, 0.3827748, 0.7608077, -0.1640664, -0.8319406, -0.7578147, -0.4466888, 0.3564371, 0.9805629, 0.4726888, 0.3708147, 0.2739406, -0.6439336, -0.3708077, -167.6643, 22.88661, -0.9525455, -0.9003879, -0.6112304, 0.1699272, 0.7720847, 0.2422423, 0.1183998, -0.0004426394, -0.9402851, -0.6891275, 2, 37.87419, 39.78807, 41.70194, 43.61581, 45.52969, 47.44356, 49.35744, 51.27131, 53.18519, 55.09906, 57.01293, 58.92681, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 38.635, 39.624, 40.87, 42.858, 45.083, 47.8, 50.338, 51.744, 53.556, 55.373, 56.369, 58.556, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Swaziland	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 41.407, 43.424, 44.992, 46.633, 49.552, 52.537, 55.561, 57.678, 58.474, 54.289, 43.869, 39.613, 290243.000, 326741.000, 370006.000, 420690.000, 480105.000, 551425.000, 649901.000, 779348.000, 962344.000, 1054486.000, 1130269.000, 1133066.000, 1148.377, 1244.708, 1856.182, 2613.102, 3364.837, 3781.411, 3895.384, 3984.840, 3553.022, 3876.768, 4128.117, 4513.481	-139.1982, 0.09507483, -4.980859, -3.439233, -2.346607, -1.180981, 1.262645, 3.77227, 6.320896, 7.962522, 8.283148, 3.622774, -7.2726, -12.00397, -169.7494, 5.684648, -0.8847665, 0.1282624, 2.419291, 4.77632, 7.172349, 8.661378, 8.829407, 4.016435, -7.031536, -11.91551, 2, 46.38786, 46.86323, 47.33861, 47.81398, 48.28936, 48.76473, 49.2401, 49.71548, 50.19085, 50.66623, 51.1416, 51.61697, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 41.407, 43.424, 44.992, 46.633, 49.552, 52.537, 55.561, 57.678, 58.474, 54.289, 43.869, 39.613, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Sweden	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 71.860, 72.490, 73.370, 74.160, 74.720, 75.440, 76.420, 77.190, 78.160, 79.390, 80.040, 80.884, 7124673.000, 7363802.000, 7561588.000, 7867931.000, 8122293.000, 8251648.000, 8325260.000, 8421403.000, 8718867.000, 8897619.000, 8954175.000, 9031088.000, 8527.845, 9911.878, 12329.442, 15258.297, 17832.025, 18855.725, 20667.381, 23586.929, 23880.017, 25266.595, 29341.631, 33859.748	-252.9239, 0.1662545, 0.255, 0.05372727, 0.1024545, 0.06118182, -0.2100909, -0.3213636, -0.1726364, -0.2339091, -0.09518182, 0.3035455, 0.1222727, 0.135, -263.8849, 9.940576, 0.04583789, 0.004342185, -0.2671535, -0.3786492, -0.2301449, -0.2916406, -0.1531363, 0.245368, 0.06387226, 0.07637656, 2, 71.605, 72.43627, 73.26755, 74.09882, 74.93009, 75.76136, 76.59264, 77.42391, 78.25518, 79.08645, 79.91773, 80.749, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 71.86, 72.49, 73.37, 74.16, 74.72, 75.44, 76.42, 77.19, 78.16, 79.39, 80.04, 80.884, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Switzerland	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 69.620, 70.560, 71.320, 72.770, 73.780, 75.390, 76.210, 77.410, 78.030, 79.370, 80.620, 81.701, 4815000.000, 5126000.000, 5666000.000, 6063000.000, 6401400.000, 6316424.000, 6468126.000, 6649942.000, 6995447.000, 7193761.000, 7361757.000, 7554661.000, 14734.233, 17909.490, 20431.093, 22966.144, 27195.113, 26982.291, 28397.715, 30281.705, 31871.530, 32135.323, 34480.958, 37506.419	-364.3421, 0.2222315, 0.1662821, -0.004875291, -0.3560326, -0.01718998, -0.1183473, 0.3804953, 0.089338, 0.1781807, -0.3129767, -0.08413403, 0.05470862, 0.02455128, -261.7651, 13.28751, -0.387007, -0.05093085, -0.1548547, 0.3412214, 0.04729748, 0.1333736, -0.3605503, -0.1344742, 0.001601928, -0.03132196, 2, 69.45372, 70.56488, 71.67603, 72.78719, 73.89835, 75.0095, 76.12066, 77.23182, 78.34298, 79.45413, 80.56529, 81.67645, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 69.62, 70.56, 71.32, 72.77, 73.78, 75.39, 76.21, 77.41, 78.03, 79.37, 80.62, 81.701, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Syria	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 45.883, 48.284, 50.305, 53.655, 57.296, 61.195, 64.590, 66.974, 69.249, 71.527, 73.053, 74.143, 3661549.000, 4149908.000, 4834621.000, 5680812.000, 6701172.000, 7932503.000, 9410494.000, 11242847.000, 13219062.000, 15081016.000, 17155814.000, 19314747.000, 1643.485, 2117.235, 2193.037, 1881.924, 2571.423, 3195.485, 3761.838, 3116.774, 3340.543, 4014.239, 4090.925, 4184.548	-1036.008, 0.5543594, -0.2182821, -0.5890793, -1.339876, -0.7616737, 0.1075291, 1.234732, 1.857935, 1.470138, 0.9733403, 0.4795431, -0.7662541, -2.448051, -212.5094, 33.14587, -1.210519, -0.6677933, 0.1659324, 1.257658, 1.845384, 1.422109, 0.8898351, 0.3605608, -0.9207135, -2.637988, 2, 46.10128, 48.87308, 51.64488, 54.41667, 57.18847, 59.96027, 62.73207, 65.50386, 68.27566, 71.04746, 73.81925, 76.59105, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 45.883, 48.284, 50.305, 53.655, 57.296, 61.195, 64.59, 66.974, 69.249, 71.527, 73.053, 74.143, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Taiwan	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 58.500, 62.400, 65.200, 67.500, 69.390, 70.590, 72.160, 73.400, 74.260, 75.250, 76.990, 78.400, 8550362.000, 10164215.000, 11918938.000, 13648692.000, 15226039.000, 16785196.000, 18501390.000, 19757799.000, 20686918.000, 21628605.000, 22454239.000, 23174294.000, 1206.948, 1507.861, 1822.879, 2643.859, 4062.524, 5596.520, 7426.355, 11054.562, 15215.658, 20206.821, 23235.423, 28718.277	-577.4443, 0.3272448, -2.837436, -0.5736597, 0.5901166, 1.253893, 1.507669, 1.071445, 1.005221, 0.6089977, -0.1672261, -0.8134499, -0.7096737, -0.9358974, -243.6534, 19.56639, 1.216501, 1.884346, 2.142191, 1.710036, 1.647881, 1.255726, 0.4835707, -0.1585843, -0.05073932, -0.2728943, 2, 61.33744, 62.97366, 64.60988, 66.24611, 67.88233, 69.51855, 71.15478, 72.791, 74.42723, 76.06345, 77.69967, 79.3359, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 58.5, 62.4, 65.2, 67.5, 69.39, 70.59, 72.16, 73.4, 74.26, 75.25, 76.99, 78.4, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Tanzania	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.121500e+01, 4.297400e+01, 4.424600e+01, 4.575700e+01, 4.762000e+01, 4.991900e+01, 5.060800e+01, 5.153500e+01, 5.044000e+01, 4.846600e+01, 4.965100e+01, 5.251700e+01, 8.322925e+06, 9.452826e+06, 1.086396e+07, 1.260731e+07, 1.470659e+07, 1.712956e+07, 1.984438e+07, 2.304063e+07, 2.660547e+07, 3.068689e+07, 3.459378e+07, 3.813964e+07, 7.166501e+02, 6.985356e+02, 7.220038e+02, 8.482187e+02, 9.159851e+02, 9.624923e+02, 8.742426e+02, 8.318221e+02, 8.256825e+02, 7.891862e+02, 8.990742e+02, 1.107482e+03	-297.8828, 0.1746881, -1.89341, -1.007851, -0.6092914, 0.02826807, 1.017828, 2.443387, 2.258946, 2.312506, 0.3440653, -2.503375, -2.191816, -0.1992564, -165.9732, 10.44483, -0.09820627, 0.5010173, 1.452241, 2.839465, 2.616688, 2.631912, 0.6251354, -2.260641, -1.987417, -0.03319379, 2, 43.10841, 43.98185, 44.85529, 45.72873, 46.60217, 47.47561, 48.34905, 49.22249, 50.09593, 50.96938, 51.84282, 52.71626, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 41.215, 42.974, 44.246, 45.757, 47.62, 49.919, 50.608, 51.535, 50.44, 48.466, 49.651, 52.517, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Thailand	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.084800e+01, 5.363000e+01, 5.606100e+01, 5.828500e+01, 6.040500e+01, 6.249400e+01, 6.459700e+01, 6.608400e+01, 6.729800e+01, 6.752100e+01, 6.856400e+01, 7.061600e+01, 2.128940e+07, 2.504192e+07, 2.926340e+07, 3.402425e+07, 3.927615e+07, 4.414828e+07, 4.882716e+07, 5.291034e+07, 5.666710e+07, 6.021668e+07, 6.280675e+07, 6.506815e+07, 7.577974e+02, 7.935774e+02, 1.002199e+03, 1.295461e+03, 1.524359e+03, 1.961225e+03, 2.393220e+03, 2.982654e+03, 4.616897e+03, 5.852625e+03, 5.913188e+03, 7.458396e+03	-624.7818, 0.3470483, -1.808423, -0.7616643, -0.06590559, 0.4228531, 0.8076119, 1.161371, 1.529129, 1.280888, 0.7596469, -0.7525944, -1.444836, -1.128077, -215.468, 20.75047, 0.3923077, 0.8576489, 1.21899, 1.549331, 1.893672, 1.622014, 1.077355, -0.4583041, -1.173963, -0.8806217, 2, 52.65642, 54.39166, 56.12691, 57.86215, 59.59739, 61.33263, 63.06787, 64.80311, 66.53835, 68.27359, 70.00884, 71.74408, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 50.848, 53.63, 56.061, 58.285, 60.405, 62.494, 64.597, 66.084, 67.298, 67.521, 68.564, 70.616, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Togo	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 38.5960, 41.2080, 43.9220, 46.7690, 49.7590, 52.8870, 55.4710, 56.9410, 58.0610, 58.3900, 57.5610, 58.4200, 1219113.0000, 1357445.0000, 1528098.0000, 1735550.0000, 2056351.0000, 2308582.0000, 2644765.0000, 3154264.0000, 3747553.0000, 4320890.0000, 4977378.0000, 5701579.0000, 859.8087, 925.9083, 1067.5348, 1477.5968, 1649.6602, 1532.7770, 1344.5780, 1202.2014, 1034.2989, 982.2869, 886.2206, 882.9699	-705.8427, 0.3825923, -2.381462, -1.682423, -0.8813846, 0.05265385, 1.129692, 2.344731, 3.015769, 2.572808, 1.779846, 0.1958846, -2.546077, -3.600038, -178.3969, 22.87569, -0.1767782, 0.6818013, 1.683381, 2.82296, 3.41854, 2.900119, 2.031699, 0.3722785, -2.445142, -3.574563, 2, 40.97746, 42.89042, 44.80338, 46.71635, 48.62931, 50.54227, 52.45523, 54.36819, 56.28115, 58.19412, 60.10708, 62.02004, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 38.596, 41.208, 43.922, 46.769, 49.759, 52.887, 55.471, 56.941, 58.061, 58.39, 57.561, 58.42, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Trinidad and Tobago	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 59.100, 61.800, 64.900, 65.400, 65.900, 68.300, 68.832, 69.582, 69.862, 69.465, 68.976, 69.819, 662850.000, 764900.000, 887498.000, 960155.000, 975199.000, 1039009.000, 1116479.000, 1191336.000, 1183669.000, 1138101.000, 1101832.000, 1056608.000, 3023.272, 4100.393, 4997.524, 5621.368, 6619.551, 7899.554, 9119.529, 7388.598, 7370.991, 8792.573, 11460.600, 18008.509	-276.935, 0.1736615, -2.952308, -1.120615, 1.111077, 0.7427692, 0.3744615, 1.906154, 1.569846, 1.451538, 0.8632308, -0.4020769, -1.759385, -1.784692, -231.499, 10.38345, 1.84083, 1.442359, 1.043888, 2.545417, 2.178946, 2.030475, 1.412004, 0.1165335, -1.270937, -1.326408, 2, 62.05231, 62.92062, 63.78892, 64.65723, 65.52554, 66.39385, 67.26215, 68.13046, 68.99877, 69.86708, 70.73538, 71.60369, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 59.1, 61.8, 64.9, 65.4, 65.9, 68.3, 68.832, 69.582, 69.862, 69.465, 68.976, 69.819, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Tunisia	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 44.600, 47.100, 49.579, 52.053, 55.602, 59.837, 64.048, 66.894, 70.001, 71.973, 73.042, 73.923, 3647735.000, 3950849.000, 4286552.000, 4786986.000, 5303507.000, 6005061.000, 6734098.000, 7724976.000, 8523077.000, 9231669.000, 9770575.000, 10276158.000, 1468.476, 1395.232, 1660.303, 1932.360, 2753.286, 3120.877, 3560.233, 3810.419, 4332.720, 4876.799, 5722.896, 7092.923	-1102.915, 0.5878434, 0.04469231, -0.3945245, -0.8547413, -1.319958, -0.7101748, 0.5856084, 1.857392, 1.764175, 1.931958, 0.9647413, -0.9054755, -2.963692, -210.3437, 35.14792, -0.804497, -1.296282, -0.7130673, 0.5561475, 1.801362, 1.681577, 1.822792, 0.8290068, -1.067778, -3.152564, 2, 44.55531, 47.49452, 50.43374, 53.37296, 56.31217, 59.25139, 62.19061, 65.12983, 68.06904, 71.00826, 73.94748, 76.88669, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 44.6, 47.1, 49.579, 52.053, 55.602, 59.837, 64.048, 66.894, 70.001, 71.973, 73.042, 73.923, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Turkey	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.585, 48.079, 52.098, 54.336, 57.005, 59.507, 61.036, 63.108, 66.146, 68.835, 70.845, 71.777, 22235677.000, 25670939.000, 29788695.000, 33411317.000, 37492953.000, 42404033.000, 47328791.000, 52881328.000, 58179144.000, 63047647.000, 67308928.000, 71158647.000, 1969.101, 2218.754, 2322.870, 2826.356, 3450.696, 4269.122, 4241.356, 5089.044, 5678.348, 6601.430, 6508.086, 8458.276	-924.5899, 0.4972399, -2.437321, -0.4295198, 1.103281, 0.8550816, 1.037882, 1.053683, 0.09648368, -0.3177156, 0.2340851, 0.4368858, -0.03931352, -1.593513, -206.7945, 29.73062, 1.631916, 1.391366, 1.581815, 1.605265, 0.6557141, 0.2491636, 0.8086132, 1.019063, 0.5505122, -0.9960383, 2, 46.02232, 48.50852, 50.99472, 53.48092, 55.96712, 58.45332, 60.93952, 63.42572, 65.91191, 68.39811, 70.88431, 73.37051, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 43.585, 48.079, 52.098, 54.336, 57.005, 59.507, 61.036, 63.108, 66.146, 68.835, 70.845, 71.777, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Uganda	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.997800e+01, 4.257100e+01, 4.534400e+01, 4.805100e+01, 5.101600e+01, 5.035000e+01, 4.984900e+01, 5.150900e+01, 4.882500e+01, 4.457800e+01, 4.781300e+01, 5.154200e+01, 5.824797e+06, 6.675501e+06, 7.688797e+06, 8.900294e+06, 1.019028e+07, 1.145776e+07, 1.293940e+07, 1.528305e+07, 1.825219e+07, 2.121025e+07, 2.473987e+07, 2.917040e+07, 7.347535e+02, 7.743711e+02, 7.672717e+02, 9.089185e+02, 9.507359e+02, 8.437331e+02, 6.822662e+02, 6.177244e+02, 6.441708e+02, 8.165591e+02, 9.277210e+02, 1.056380e+03	-193.0607, 0.121586, -4.297218, -2.312148, -0.1470781, 1.951992, 4.309062, 3.035132, 1.926202, 2.978272, -0.3136585, -5.168589, -2.541519, 0.5795513, -164.9565, 7.269786, 1.016552, 3.026989, 5.295427, 3.932865, 2.735303, 3.698741, 0.3181784, -4.625384, -2.086946, 0.9454918, 2, 44.27522, 44.88315, 45.49108, 46.09901, 46.70694, 47.31487, 47.9228, 48.53073, 49.13866, 49.74659, 50.35452, 50.96245, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 39.978, 42.571, 45.344, 48.051, 51.016, 50.35, 49.849, 51.509, 48.825, 44.578, 47.813, 51.542, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
United Kingdom	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 69.180, 70.420, 70.760, 71.360, 72.010, 72.760, 74.040, 75.007, 76.420, 77.218, 78.471, 79.425, 50430000.000, 51430000.000, 53292000.000, 54959000.000, 56079000.000, 56179000.000, 56339704.000, 56981620.000, 57866349.000, 58808266.000, 59912431.000, 60776238.000, 9979.508, 11283.178, 12477.177, 14142.851, 15895.116, 17428.748, 18232.425, 21664.788, 22705.093, 26074.531, 29478.999, 33203.261	-294.1966, 0.1859657, 0.3714744, 0.6816457, 0.09181702, -0.2380117, -0.5178403, -0.697669, -0.3474977, -0.3103263, 0.172845, 0.04101632, 0.3641876, 0.388359, -256.0753, 11.11913, -0.08053332, -0.3710592, -0.6115852, -0.7521111, -0.362637, -0.2861629, 0.2363112, 0.1437853, 0.5062593, 0.5697334, 2, 68.80853, 69.73835, 70.66818, 71.59801, 72.52784, 73.45767, 74.3875, 75.31733, 76.24716, 77.17698, 78.10681, 79.03664, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 69.18, 70.42, 70.76, 71.36, 72.01, 72.76, 74.04, 75.007, 76.42, 77.218, 78.471, 79.425, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
United States	Americas	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 6.844000e+01, 6.949000e+01, 7.021000e+01, 7.076000e+01, 7.134000e+01, 7.338000e+01, 7.465000e+01, 7.502000e+01, 7.609000e+01, 7.681000e+01, 7.731000e+01, 7.824200e+01, 1.575530e+08, 1.719840e+08, 1.865380e+08, 1.987120e+08, 2.098960e+08, 2.202390e+08, 2.321878e+08, 2.428035e+08, 2.568942e+08, 2.729118e+08, 2.876755e+08, 3.011399e+08, 1.399048e+04, 1.484713e+04, 1.617315e+04, 1.953037e+04, 2.180604e+04, 2.407263e+04, 2.500956e+04, 2.988435e+04, 3.200393e+04, 3.576743e+04, 3.909710e+04, 4.295165e+04	-291.0845, 0.1841692, 0.02615385, 0.1553077, -0.04553846, -0.4163846, -0.7572308, 0.3619231, 0.7110769, 0.1602308, 0.3093846, 0.1085385, -0.3123077, -0.3011538, -254.537, 11.01172, -0.07365764, -0.4346886, -0.7657195, 0.3632496, 0.7222187, 0.1811878, 0.3401569, 0.149126, -0.2619049, -0.2409358, 2, 68.41385, 69.33469, 70.25554, 71.17638, 72.09723, 73.01808, 73.93892, 74.85977, 75.78062, 76.70146, 77.62231, 78.54315, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 68.44, 69.49, 70.21, 70.76, 71.34, 73.38, 74.65, 75.02, 76.09, 76.81, 77.31, 78.242, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Uruguay	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 66.071, 67.044, 68.253, 68.468, 68.673, 69.481, 70.805, 71.918, 72.752, 74.223, 75.307, 76.384, 2252965.000, 2424959.000, 2598466.000, 2748579.000, 2829526.000, 2873520.000, 2953997.000, 3045153.000, 3149262.000, 3262838.000, 3363085.000, 3447496.000, 5716.767, 6150.773, 5603.358, 5444.620, 5703.409, 6504.340, 6920.223, 7452.399, 8137.005, 9230.241, 7727.002, 10611.463	-292.0054, 0.183272, 0.3293974, 0.3860373, 0.6786772, -0.02268298, -0.7340431, -0.8424033, -0.4347634, -0.2381235, -0.3204837, 0.2341562, 0.401796, 0.5624359, -245.1946, 10.95807, 0.5583795, -0.1224733, -0.8133261, -0.9011789, -0.4730317, -0.2558845, -0.3177373, 0.2574099, 0.4455571, 0.6267044, 2, 65.7416, 66.65796, 67.57432, 68.49068, 69.40704, 70.3234, 71.23976, 72.15612, 73.07248, 73.98884, 74.9052, 75.82156, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 66.071, 67.044, 68.253, 68.468, 68.673, 69.481, 70.805, 71.918, 72.752, 74.223, 75.307, 76.384, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Venezuela	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.088, 57.907, 60.770, 63.479, 65.712, 67.456, 68.557, 70.190, 71.150, 72.146, 72.766, 73.747, 5439568.000, 6702668.000, 8143375.000, 9709552.000, 11515649.000, 13503563.000, 15620766.000, 17910182.000, 20265563.000, 22374398.000, 24287670.000, 26084662.000, 7689.800, 9802.467, 8422.974, 9541.474, 10505.260, 13143.951, 11152.410, 9883.585, 10733.926, 10165.495, 8605.048, 11415.806	-586.1034, 0.3297217, -2.425321, -1.254929, -0.0405373, 1.019854, 1.604246, 1.699638, 1.152029, 1.136421, 0.4478124, -0.204796, -1.233404, -1.901013, -230.6422, 19.71449, 0.6087551, 1.622409, 2.160063, 2.208718, 1.614372, 1.552026, 0.8166799, 0.117334, -0.9580118, -1.672358, 2, 57.51332, 59.16193, 60.81054, 62.45915, 64.10775, 65.75636, 67.40497, 69.05358, 70.70219, 72.3508, 73.9994, 75.64801, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 55.088, 57.907, 60.77, 63.479, 65.712, 67.456, 68.557, 70.19, 71.15, 72.146, 72.766, 73.747, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Vietnam	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.041200e+01, 4.288700e+01, 4.536300e+01, 4.783800e+01, 5.025400e+01, 5.576400e+01, 5.881600e+01, 6.282000e+01, 6.766200e+01, 7.067200e+01, 7.301700e+01, 7.424900e+01, 2.624684e+07, 2.899854e+07, 3.379614e+07, 3.946391e+07, 4.465501e+07, 5.053351e+07, 5.614218e+07, 6.282649e+07, 6.994073e+07, 7.604900e+07, 8.090815e+07, 8.526236e+07, 6.050665e+02, 6.762854e+02, 7.720492e+02, 6.371233e+02, 6.995016e+02, 7.135371e+02, 7.072358e+02, 8.207994e+02, 9.890231e+02, 1.385897e+03, 1.764457e+03, 2.441576e+03	-1271.983, 0.6716154, 1.401923, 0.5188462, -0.3632308, -1.246308, -2.188385, -0.03646154, -0.3425385, 0.3033846, 1.787308, 1.439231, 0.4261538, -1.699923, -199.1148, 40.15676, -0.7077799, -1.577406, -2.506032, -0.3406587, -0.633285, 0.02608876, 1.523462, 1.188836, 0.1892099, -1.923416, 2, 39.01008, 42.36815, 45.72623, 49.08431, 52.44238, 55.80046, 59.15854, 62.51662, 65.87469, 69.23277, 72.59085, 75.94892, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 40.412, 42.887, 45.363, 47.838, 50.254, 55.764, 58.816, 62.82, 67.662, 70.672, 73.017, 74.249, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
West Bank and Gaza	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.160, 45.671, 48.127, 51.631, 56.532, 60.765, 64.406, 67.046, 69.718, 71.096, 72.370, 73.422, 1030585.000, 1070439.000, 1133134.000, 1142636.000, 1089572.000, 1261091.000, 1425876.000, 1691210.000, 2104779.000, 2826046.000, 3389578.000, 4018332.000, 1515.592, 1827.068, 2198.956, 2649.715, 3133.409, 3682.831, 4336.032, 5107.197, 6017.655, 7110.668, 4515.488, 3025.350	-1129.55, 0.6011007, -0.6383974, -1.132901, -1.682404, -1.183908, 0.7115886, 1.939085, 2.574582, 2.209078, 1.875575, 0.2480711, -1.483432, -3.436936, -208.9846, 35.94059, -1.391952, -0.9584685, 0.8720155, 2.0345, 2.604984, 2.174468, 1.775952, 0.08343555, -1.71308, -3.731596, 2, 43.7984, 46.8039, 49.8094, 52.81491, 55.82041, 58.82591, 61.83142, 64.83692, 67.84243, 70.84793, 73.85343, 76.85894, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 43.16, 45.671, 48.127, 51.631, 56.532, 60.765, 64.406, 67.046, 69.718, 71.096, 72.37, 73.422, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Yemen, Rep.	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.254800e+01, 3.397000e+01, 3.518000e+01, 3.698400e+01, 3.984800e+01, 4.417500e+01, 4.911300e+01, 5.292200e+01, 5.559900e+01, 5.802000e+01, 6.030800e+01, 6.269800e+01, 4.963829e+06, 5.498090e+06, 6.120081e+06, 6.740785e+06, 7.407075e+06, 8.403990e+06, 9.657618e+06, 1.121934e+07, 1.336800e+07, 1.582650e+07, 1.870126e+07, 2.221174e+07, 7.817176e+02, 8.048305e+02, 8.256232e+02, 8.624421e+02, 1.265047e+03, 1.829765e+03, 1.977557e+03, 1.971742e+03, 1.879497e+03, 2.117485e+03, 2.234821e+03, 2.280770e+03	-1151.727, 0.6054594, 2.417718, 0.8124207, -1.004876, -2.228174, -2.391471, -1.091768, 0.8189347, 1.600638, 1.25034, 0.6440431, -0.09525408, -0.7325513, -162.0521, 36.20121, -1.586808, -2.792318, -2.937828, -1.620338, 0.3081517, 1.107642, 0.7751314, 0.1866213, -0.5348889, -1.154399, 2, 30.13028, 33.15758, 36.18488, 39.21217, 42.23947, 45.26677, 48.29407, 51.32136, 54.34866, 57.37596, 60.40325, 63.43055, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 32.548, 33.97, 35.18, 36.984, 39.848, 44.175, 49.113, 52.922, 55.599, 58.02, 60.308, 62.698, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Zambia	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.100, 40.238, 39.193, 42.384, 2672000.000, 3016000.000, 3421000.000, 3900000.000, 4506497.000, 5216550.000, 6100407.000, 7272406.000, 8381163.000, 9417789.000, 10595811.000, 11746035.000, 1147.389, 1311.957, 1452.726, 1777.077, 1773.498, 1588.688, 1408.679, 1213.315, 1210.885, 1071.354, 1071.614, 1271.212	165.608, -0.06042517, -5.620026, -3.2789, -1.030774, 1.016352, 3.657478, 5.238604, 5.97573, 5.277855, 0.8589814, -4.700893, -5.443767, -1.950641, -159.336, -3.6129, 0.5290378, 2.4435, 4.951963, 6.400425, 7.004887, 6.17435, 1.622812, -4.069725, -4.945263, -1.584801, 2, 47.65803, 47.3559, 47.05377, 46.75165, 46.44952, 46.1474, 45.84527, 45.54314, 45.24102, 44.93889, 44.63677, 44.33464, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.1, 40.238, 39.193, 42.384, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Zimbabwe	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.845100e+01, 5.046900e+01, 5.235800e+01, 5.399500e+01, 5.563500e+01, 5.767400e+01, 6.036300e+01, 6.235100e+01, 6.037700e+01, 4.680900e+01, 3.998900e+01, 4.348700e+01, 3.080907e+06, 3.646340e+06, 4.277736e+06, 4.995432e+06, 5.861135e+06, 6.642107e+06, 7.636524e+06, 9.216418e+06, 1.070434e+07, 1.140495e+07, 1.192656e+07, 1.231114e+07, 4.068841e+02, 5.187643e+02, 5.272722e+02, 5.697951e+02, 7.993622e+02, 6.855877e+02, 7.888550e+02, 7.061573e+02, 6.934208e+02, 7.924500e+02, 6.720386e+02, 4.697093e+02	236.7982, -0.09302098, -6.770244, -4.287139, -1.933034, 0.1690711, 2.274176, 4.778281, 7.932386, 10.38549, 8.876596, -4.2263, -10.58119, -6.61809, -182.4306, -5.561846, -0.003763574, 1.916383, 3.839529, 6.161675, 9.133821, 11.40497, 9.714114, -3.57074, -10.10759, -6.326448, 2, 55.22124, 54.75614, 54.29103, 53.82593, 53.36082, 52.89572, 52.43061, 51.96551, 51.5004, 51.0353, 50.57019, 50.10509, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 48.451, 50.469, 52.358, 53.995, 55.635, 57.674, 60.363, 62.351, 60.377, 46.809, 39.989, 43.487, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007

This has a big advantage: because all the related objects are stored together, you don't need to manually keep them in sync when you filter or arrange. The semantics of the data frame takes care of that for you:

In [11]:

            
                Copied!
                
by_country |> 
  filter(continent == "Europe")
by_country |> 
  arrange(continent, country)
by_country |> 
  filter(continent == "Europe")
by_country |> 
  arrange(continent, country)

A grouped_df: 30 × 4
country	continent	data	model
<fct>	<fct>	<list>	<list>
Albania	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.230, 59.280, 64.820, 66.220, 67.690, 68.930, 70.420, 72.000, 71.581, 72.950, 75.651, 76.423, 1282697.000, 1476505.000, 1728137.000, 1984060.000, 2263554.000, 2509048.000, 2780097.000, 3075321.000, 3326498.000, 3428038.000, 3508512.000, 3600523.000, 1601.056, 1942.284, 2312.889, 2760.197, 3313.422, 3533.004, 3630.881, 3738.933, 2497.438, 3193.055, 4604.212, 5937.030	-594.0725, 0.3346832, -3.999128, -1.622544, 2.24404, 1.970624, 1.767207, 1.333791, 1.150375, 1.056959, -1.035457, -1.339873, -0.312289, -1.213705, -237.0586, 20.01115, 3.248124, 2.926981, 2.675838, 2.194694, 1.963551, 1.822408, -0.3177351, -0.6698783, 0.3099785, -0.6391646, 2, 59.22913, 60.90254, 62.57596, 64.24938, 65.92279, 67.59621, 69.26962, 70.94304, 72.61646, 74.28987, 75.96329, 77.63671, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 55.23, 59.28, 64.82, 66.22, 67.69, 68.93, 70.42, 72, 71.581, 72.95, 75.651, 76.423, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Austria	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 66.800, 67.480, 69.540, 70.140, 70.630, 72.170, 73.180, 74.940, 76.040, 77.510, 78.980, 79.829, 6927772.000, 6965860.000, 7129864.000, 7376998.000, 7544201.000, 7568430.000, 7574613.000, 7578903.000, 7914969.000, 8069876.000, 8148312.000, 8199783.000, 6137.076, 8842.598, 10750.721, 12834.602, 16661.626, 19749.422, 21597.084, 23687.826, 27042.019, 29095.921, 32417.608, 36126.493	-405.9205, 0.2419923, 0.3515385, -0.1784231, 0.6716154, 0.06165385, -0.6583077, -0.3282692, -0.5282308, 0.02180769, -0.08815385, 0.1718846, 0.4319231, 0.07096154, -253.2371, 14.46904, 0.6311732, 0.004321666, -0.7325299, -0.4193814, -0.636233, -0.1030846, -0.2299361, 0.01321234, 0.2563608, -0.1214908, 2, 66.44846, 67.65842, 68.86838, 70.07835, 71.28831, 72.49827, 73.70823, 74.91819, 76.12815, 77.33812, 78.54808, 79.75804, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 66.8, 67.48, 69.54, 70.14, 70.63, 72.17, 73.18, 74.94, 76.04, 77.51, 78.98, 79.829, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Belgium	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 68.000, 69.240, 70.250, 70.940, 71.440, 72.800, 73.930, 75.350, 76.460, 77.530, 78.320, 79.441, 8730405.000, 8989111.000, 9218400.000, 9556500.000, 9709100.000, 9821800.000, 9856303.000, 9870200.000, 10045622.000, 10199787.000, 10311970.000, 10392226.000, 8343.105, 9714.961, 10991.207, 13149.041, 16672.144, 19117.974, 20979.846, 22525.563, 25575.571, 27561.197, 30485.884, 33692.605	-340.2412, 0.2090846, 0.1080769, 0.3026538, 0.2672308, -0.08819231, -0.6336154, -0.3190385, -0.2344615, 0.1401154, 0.2046923, 0.2292692, -0.02615385, 0.04942308, -255.1025, 12.50144, 0.2015463, -0.1355897, -0.6627256, -0.3298616, -0.2269975, 0.1658665, 0.2487306, 0.2915946, 0.05445866, 0.1483227, 2, 67.89192, 68.93735, 69.98277, 71.02819, 72.07362, 73.11904, 74.16446, 75.20988, 76.25531, 77.30073, 78.34615, 79.39158, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 68, 69.24, 70.25, 70.94, 71.44, 72.8, 73.93, 75.35, 76.46, 77.53, 78.32, 79.441, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Bosnia and Herzegovina	Europe	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 53.8200, 58.4500, 61.9300, 64.7900, 67.4500, 69.8600, 70.6900, 71.1400, 72.1780, 73.2440, 74.0900, 74.8520, 2791000.0000, 3076000.0000, 3349000.0000, 3585000.0000, 3819000.0000, 4086000.0000, 4172693.0000, 4338977.0000, 4256013.0000, 3607000.0000, 4165416.0000, 4552198.0000, 973.5332, 1353.9892, 1709.6837, 2172.3524, 2860.1698, 3528.4813, 4126.6132, 4314.1148, 2546.7814, 4766.3559, 6018.9752, 7446.2988	-624.6327, 0.3497552, -4.269564, -1.38834, 0.3428834, 1.454107, 2.365331, 3.026555, 2.107779, 0.8090023, 0.09822611, -0.5845501, -1.487326, -2.474103, -234.5468, 20.91232, 1.36364, 2.446497, 3.329354, 3.962211, 3.015068, 1.687925, 0.9487816, 0.2376386, -0.6935044, -1.708647, 2, 58.08956, 59.83834, 61.58712, 63.33589, 65.08467, 66.83345, 68.58222, 70.331, 72.07977, 73.82855, 75.57733, 77.3261, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 53.82, 58.45, 61.93, 64.79, 67.45, 69.86, 70.69, 71.14, 72.178, 73.244, 74.09, 74.852, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Bulgaria	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 59.600, 66.610, 69.510, 70.420, 70.900, 70.810, 71.080, 71.340, 71.190, 70.320, 72.140, 73.005, 7274900.000, 7651254.000, 8012946.000, 8310226.000, 8576200.000, 8797022.000, 8892098.000, 8971958.000, 8658506.000, 8066057.000, 7661799.000, 7322858.000, 2444.287, 3008.671, 4254.338, 5577.003, 6597.494, 7612.240, 8224.192, 8239.855, 6302.623, 5970.389, 7696.778, 10680.793	-218.6473, 0.1456888, -6.137308, 0.1442483, 2.315804, 2.49736, 2.248916, 1.430472, 0.972028, 0.5035839, -0.3748601, -1.973304, -0.8817483, -0.7451923, -241.5994, 8.710924, 3.464353, 3.745675, 3.596997, 2.87832, 2.519642, 2.150964, 1.372286, -0.1263916, 1.064931, 1.301253, 2, 65.73731, 66.46575, 67.1942, 67.92264, 68.65108, 69.37953, 70.10797, 70.83642, 71.56486, 72.2933, 73.02175, 73.75019, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 59.6, 66.61, 69.51, 70.42, 70.9, 70.81, 71.08, 71.34, 71.19, 70.32, 72.14, 73.005, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Croatia	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 61.210, 64.770, 67.130, 68.500, 69.610, 70.640, 70.460, 71.520, 72.527, 73.680, 74.876, 75.748, 3882229.000, 3991242.000, 4076557.000, 4174366.000, 4225310.000, 4318673.000, 4413368.000, 4484310.000, 4494013.000, 4444595.000, 4481020.000, 4493312.000, 3119.237, 4338.232, 5477.890, 6960.298, 9164.090, 11305.385, 13221.822, 13822.584, 8447.795, 9875.605, 11628.389, 14619.223	-376.241, 0.2254594, -2.645782, -0.2130793, 1.019624, 1.262326, 1.245029, 1.147732, -0.1595653, -0.2268625, -0.3471597, -0.3214569, -0.2527541, -0.5080513, -242.6808, 13.48051, 1.555762, 1.823395, 1.831029, 1.758662, 0.4762956, 0.4339291, 0.3385627, 0.3891962, 0.4828297, 0.2524632, 2, 63.85578, 64.98308, 66.11038, 67.23767, 68.36497, 69.49227, 70.61957, 71.74686, 72.87416, 74.00146, 75.12875, 76.25605, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 61.21, 64.77, 67.13, 68.5, 69.61, 70.64, 70.46, 71.52, 72.527, 73.68, 74.876, 75.748, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Czech Republic	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 66.870, 69.030, 69.900, 70.380, 70.290, 70.710, 70.960, 71.580, 72.400, 74.010, 75.510, 76.486, 9125183.000, 9513758.000, 9620282.000, 9835109.000, 9862158.000, 10161915.000, 10303704.000, 10311597.000, 10315702.000, 10300707.000, 10256295.000, 10228744.000, 6876.140, 8256.344, 10136.867, 11399.445, 13108.454, 14800.161, 15377.229, 16310.443, 14297.021, 16048.514, 17596.210, 22833.309	-215.1516, 0.1448154, -0.6580769, 0.7778462, 0.9237692, 0.6796923, -0.1343846, -0.4384615, -0.9125385, -1.016615, -0.9206923, -0.03476923, 0.7411538, 0.9930769, -247.7196, 8.658701, 0.9333665, 0.7500573, -0.003251956, -0.2465612, -0.6598704, -0.7031797, -0.5464889, 0.4002018, 1.236893, 1.549583, 2, 67.52808, 68.25215, 68.97623, 69.70031, 70.42438, 71.14846, 71.87254, 72.59662, 73.32069, 74.04477, 74.76885, 75.49292, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 66.87, 69.03, 69.9, 70.38, 70.29, 70.71, 70.96, 71.58, 72.4, 74.01, 75.51, 76.486, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Denmark	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 70.780, 71.810, 72.350, 72.960, 73.470, 74.690, 74.630, 74.800, 75.330, 76.110, 77.180, 78.332, 4334000.000, 4487831.000, 4646899.000, 4838800.000, 4991596.000, 5088419.000, 5117810.000, 5127024.000, 5171393.000, 5283663.000, 5374693.000, 5468120.000, 9692.385, 11099.659, 13583.314, 15937.211, 18866.207, 20422.901, 21688.040, 25116.176, 26406.740, 29804.346, 32166.500, 35278.419	-165.8027, 0.1213301, -0.2535897, 0.1697599, 0.1031096, 0.1064592, 0.009808858, 0.6231585, -0.04349184, -0.4801422, -0.5567925, -0.3834429, 0.07990676, 0.6252564, -257.6258, 7.254483, 0.1261689, 0.1443985, 0.06262821, 0.6908579, 0.03908756, -0.3826828, -0.4444531, -0.2562234, 0.2220063, 0.7822359, 2, 71.03359, 71.64024, 72.24689, 72.85354, 73.46019, 74.06684, 74.67349, 75.28014, 75.88679, 76.49344, 77.10009, 77.70674, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 70.78, 71.81, 72.35, 72.96, 73.47, 74.69, 74.63, 74.8, 75.33, 76.11, 77.18, 78.332, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Finland	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 66.550, 67.490, 68.750, 69.830, 70.870, 72.520, 74.550, 74.830, 75.700, 77.130, 78.370, 79.313, 4090500.000, 4324000.000, 4491443.000, 4605744.000, 4639657.000, 4738902.000, 4826933.000, 4931729.000, 5041039.000, 5134406.000, 5193039.000, 5238460.000, 6424.519, 7545.415, 9371.843, 10921.636, 14358.876, 15605.423, 18533.158, 21141.012, 20647.165, 23723.950, 28204.591, 33207.084	-397.981, 0.2379252, 0.1010256, -0.1486002, -0.07822611, -0.187852, -0.3374779, 0.1228963, 0.9632704, 0.05364452, -0.2659814, -0.02560723, 0.0247669, -0.221859, -252.8514, 14.22586, -0.07535188, -0.1962236, -0.3570952, 0.0920331, 0.9211614, 0.0002897486, -0.3305819, -0.1014536, -0.06232527, -0.3201969, 2, 66.44897, 67.6386, 68.82823, 70.01785, 71.20748, 72.3971, 73.58673, 74.77636, 75.96598, 77.15561, 78.34523, 79.53486, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 66.55, 67.49, 68.75, 69.83, 70.87, 72.52, 74.55, 74.83, 75.7, 77.13, 78.37, 79.313, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
France	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 67.410, 68.930, 70.510, 71.550, 72.380, 73.830, 74.890, 76.340, 77.460, 78.640, 79.590, 80.657, 42459667.000, 44310863.000, 47124000.000, 49569000.000, 51732000.000, 53165019.000, 54433565.000, 55630100.000, 57374179.000, 58623428.000, 59925035.000, 61083916.000, 7029.809, 8662.835, 10560.486, 12999.918, 16107.192, 18292.635, 20293.897, 22066.442, 24703.796, 25889.785, 28926.032, 30470.017	-397.7646, 0.2385014, -0.3801282, -0.0526352, 0.3348578, 0.1823508, -0.1801562, 0.07733683, -0.05517016, 0.2023228, 0.1298159, 0.1173089, -0.1251981, -0.2507051, -257.5522, 14.26031, 0.4151666, 0.2647952, -0.09557618, 0.1640524, 0.03368103, 0.2933096, 0.2229382, 0.2125668, -0.02780456, -0.151176, 2, 67.79013, 68.98264, 70.17514, 71.36765, 72.56016, 73.75266, 74.94517, 76.13768, 77.33018, 78.52269, 79.7152, 80.90771, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 67.41, 68.93, 70.51, 71.55, 72.38, 73.83, 74.89, 76.34, 77.46, 78.64, 79.59, 80.657, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Germany	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 67.500, 69.100, 70.300, 70.800, 71.000, 72.500, 73.800, 74.847, 76.070, 77.340, 78.670, 79.406, 69145952.000, 71019069.000, 73739117.000, 76368453.000, 78717088.000, 78160773.000, 78335266.000, 77718298.000, 80597764.000, 82011073.000, 82350671.000, 82400996.000, 7144.114, 10187.827, 12902.463, 14745.626, 18016.180, 20512.921, 22031.533, 24639.186, 26505.303, 27788.884, 30035.802, 32170.374	-349.5415, 0.2136832, -0.06812821, 0.4634557, 0.5950396, 0.02662354, -0.8417925, -0.4102086, -0.1786247, -0.2000408, -0.04545688, 0.156127, 0.417711, 0.08529487, -254.4189, 12.7764, 0.5389959, 0.00202015, -0.8349556, -0.3719314, -0.1089071, -0.09888287, 0.08714138, 0.3201656, 0.6131899, 0.3122141, 2, 67.56813, 68.63654, 69.70496, 70.77338, 71.84179, 72.91021, 73.97862, 75.04704, 76.11546, 77.18387, 78.25229, 79.32071, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 67.5, 69.1, 70.3, 70.8, 71, 72.5, 73.8, 74.847, 76.07, 77.34, 78.67, 79.406, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Greece	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 65.860, 67.860, 69.510, 71.000, 72.340, 73.680, 75.240, 76.670, 77.030, 77.869, 78.256, 79.483, 7733250.000, 8096218.000, 8448233.000, 8716441.000, 8888628.000, 9308479.000, 9786480.000, 9974490.000, 10325429.000, 10502372.000, 10603863.000, 10706290.000, 3530.690, 4916.300, 6017.191, 8513.097, 12724.830, 14195.524, 15268.421, 16120.528, 17541.496, 18747.698, 22514.255, 27538.412	-406.0949, 0.2423986, -1.207205, -0.4191981, 0.01880886, 0.2968159, 0.4248228, 0.5528298, 0.9008368, 1.118844, 0.2668508, -0.1061422, -0.9311352, -0.9161282, -255.4192, 14.49333, 0.3113938, 0.5796299, 0.697866, 0.8161022, 1.154338, 1.362574, 0.5008106, 0.1180467, -0.7167171, -0.711481, 2, 67.06721, 68.2792, 69.49119, 70.70318, 71.91518, 73.12717, 74.33916, 75.55116, 76.76315, 77.97514, 79.18714, 80.39913, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 65.86, 67.86, 69.51, 71, 72.34, 73.68, 75.24, 76.67, 77.03, 77.869, 78.256, 79.483, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Hungary	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 64.030, 66.410, 67.960, 69.500, 69.760, 69.950, 69.390, 69.580, 69.170, 71.040, 72.590, 73.338, 9504000.000, 9839000.000, 10063000.000, 10223422.000, 10394091.000, 10637171.000, 10705535.000, 10612740.000, 10348684.000, 10244684.000, 10083313.000, 9956108.000, 5263.674, 6040.180, 7550.360, 9326.645, 10168.656, 11674.837, 12545.991, 12986.480, 10535.629, 11712.777, 14843.936, 18008.944	-175.3699, 0.123649, -1.962821, -0.2010653, 0.73069, 1.652445, 1.2942, 0.8659557, -0.312289, -0.7405338, -1.768779, -0.5170233, 0.4147319, 0.5444872, -240.385, 7.393132, 1.134837, 2.072264, 1.729691, 1.317118, 0.1545455, -0.2580273, -1.2706, -0.003172839, 0.9442544, 1.089682, 2, 65.99282, 66.61107, 67.22931, 67.84755, 68.4658, 69.08404, 69.70229, 70.32053, 70.93878, 71.55702, 72.17527, 72.79351, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 64.03, 66.41, 67.96, 69.5, 69.76, 69.95, 69.39, 69.58, 69.17, 71.04, 72.59, 73.338, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Iceland	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 72.490, 73.470, 73.680, 73.730, 74.460, 76.110, 76.990, 77.230, 78.770, 78.950, 80.500, 81.757, 147962.000, 165110.000, 182053.000, 198676.000, 209275.000, 221823.000, 233997.000, 244676.000, 259012.000, 271192.000, 288030.000, 301931.000, 7267.688, 9244.001, 10350.159, 13319.896, 15798.064, 19654.962, 23269.607, 26923.206, 25144.392, 28061.100, 31163.202, 36180.789	-250.8494, 0.1653755, 0.5264103, 0.6795326, 0.06265501, -0.7142226, -0.8111002, 0.01202214, 0.06514452, -0.5217331, 0.1913893, -0.4554883, 0.267634, 0.6977564, -265.0433, 9.888018, -0.138918, -0.8789111, -0.9389042, -0.07889725, 0.01110967, -0.5388834, 0.2111235, -0.3988695, 0.3611374, 0.8281443, 2, 71.96359, 72.79047, 73.61734, 74.44422, 75.2711, 76.09798, 76.92486, 77.75173, 78.57861, 79.40549, 80.23237, 81.05924, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 72.49, 73.47, 73.68, 73.73, 74.46, 76.11, 76.99, 77.23, 78.77, 78.95, 80.5, 81.757, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Ireland	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 66.910, 68.900, 70.290, 71.080, 71.280, 72.030, 73.100, 74.360, 75.467, 76.122, 77.783, 78.885, 2952156.000, 2878220.000, 2830000.000, 2900100.000, 3024400.000, 3271900.000, 3480000.000, 3539900.000, 3557761.000, 3667233.000, 3879155.000, 4109086.000, 5210.280, 5599.078, 6631.597, 7655.569, 9530.773, 11150.981, 12618.321, 13872.867, 17558.816, 24521.947, 34077.049, 40675.996	-321.14, 0.1991196, -0.6314615, 0.3629406, 0.7573427, 0.5517448, -0.2438531, -0.489451, -0.415049, -0.1506469, -0.03924476, -0.3798427, 0.2855594, 0.3919615, -252.9392, 11.90562, 0.8236662, 0.651195, -0.1112762, -0.3237474, -0.2162186, 0.08131014, 0.2258389, -0.08163231, 0.6168965, 0.7564252, 2, 67.54146, 68.53706, 69.53266, 70.52826, 71.52385, 72.51945, 73.51505, 74.51065, 75.50624, 76.50184, 77.49744, 78.49304, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 66.91, 68.9, 70.29, 71.08, 71.28, 72.03, 73.1, 74.36, 75.467, 76.122, 77.783, 78.885, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Italy	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 65.940, 67.810, 69.240, 71.060, 72.190, 73.480, 74.980, 76.420, 77.440, 78.820, 80.240, 80.546, 47666000.000, 49182000.000, 50843200.000, 52667100.000, 54365564.000, 56059245.000, 56535636.000, 56729703.000, 56840847.000, 57479469.000, 57926999.000, 58147733.000, 4931.404, 6248.656, 8243.582, 10022.401, 12269.274, 14255.985, 16537.483, 19207.235, 22013.645, 24675.024, 27968.098, 28569.720	-459.8781, 0.2697105, -0.6567949, -0.1353473, -0.05389977, 0.4175478, 0.1989953, 0.1404429, 0.2918904, 0.383338, 0.05478555, 0.0862331, 0.1576807, -0.8848718, -256.3914, 16.12634, 0.0914736, 0.5636949, 0.3459161, 0.2881374, 0.4403587, 0.53258, 0.2048012, 0.2370225, 0.3092438, -0.732535, 2, 66.59679, 67.94535, 69.2939, 70.64245, 71.991, 73.33956, 74.68811, 76.03666, 77.38521, 78.73377, 80.08232, 81.43087, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 65.94, 67.81, 69.24, 71.06, 72.19, 73.48, 74.98, 76.42, 77.44, 78.82, 80.24, 80.546, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Montenegro	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 59.164, 61.448, 63.728, 67.178, 70.636, 73.066, 74.101, 74.865, 75.435, 75.445, 73.981, 74.543, 413834.000, 442829.000, 474528.000, 501035.000, 527678.000, 560073.000, 562548.000, 569473.000, 621621.000, 692651.000, 720230.000, 684736.000, 2647.586, 3682.260, 4649.594, 5907.851, 7778.414, 9595.930, 11222.588, 11732.510, 7003.339, 6465.613, 6557.194, 9253.896	-509.6971, 0.2930014, -3.077628, -2.258635, -1.443642, 0.5413508, 2.534344, 3.499337, 3.06933, 2.368323, 1.473316, 0.01830886, -2.910698, -3.813705, -243.5235, 17.51894, -0.5204895, 1.361443, 3.251376, 4.113309, 3.580241, 2.776174, 1.778107, 0.2200393, -2.812028, -3.818095, 2, 62.24163, 63.70664, 65.17164, 66.63665, 68.10166, 69.56666, 71.03167, 72.49668, 73.96168, 75.42669, 76.8917, 78.35671, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 59.164, 61.448, 63.728, 67.178, 70.636, 73.066, 74.101, 74.865, 75.435, 75.445, 73.981, 74.543, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Netherlands	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 72.130, 72.990, 73.230, 73.820, 73.750, 75.240, 76.050, 76.830, 77.420, 78.030, 78.530, 79.762, 10381988.000, 11026383.000, 11805689.000, 12596822.000, 13329874.000, 13852989.000, 14310401.000, 14665278.000, 15174244.000, 15604464.000, 16122830.000, 16570613.000, 8941.572, 11276.193, 12790.850, 15363.251, 18794.746, 21209.059, 21399.460, 23651.324, 26790.950, 30246.131, 33724.758, 36797.933	-194.9228, 0.1366867, 0.2403846, 0.416951, -0.02648252, -0.1199161, -0.8733497, -0.06678322, 0.05978322, 0.1563497, 0.06291608, -0.01051748, -0.193951, 0.3546154, -262.0541, 8.172677, -0.1344152, -0.2040015, -0.9335879, -0.1031742, 0.04723943, 0.1676531, 0.09806672, 0.04848037, -0.111106, 0.4613077, 2, 71.88962, 72.57305, 73.25648, 73.93992, 74.62335, 75.30678, 75.99022, 76.67365, 77.35708, 78.04052, 78.72395, 79.40738, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 72.13, 72.99, 73.23, 73.82, 73.75, 75.24, 76.05, 76.83, 77.42, 78.03, 78.53, 79.762, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Norway	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 72.670, 73.440, 73.470, 74.080, 74.340, 75.370, 75.970, 75.890, 77.320, 78.320, 79.050, 80.196, 3327728.000, 3491938.000, 3638919.000, 3786019.000, 3933004.000, 4043205.000, 4114787.000, 4186147.000, 4286357.000, 4405672.000, 4535591.000, 4627926.000, 10095.422, 11653.973, 13450.402, 16361.876, 18965.056, 23311.349, 26298.635, 31540.975, 33965.661, 41283.164, 44683.975, 49357.190	-185.3347, 0.1319413, 0.4553846, 0.5656783, -0.06402797, -0.1137343, -0.5134406, -0.1431469, -0.2028531, -0.9425594, -0.1722657, 0.168028, 0.2383217, 0.7246154, -262.7279, 7.88894, -0.2351018, -0.2543562, -0.6236105, -0.2228648, -0.2521192, -0.9613735, -0.1606278, 0.2101178, 0.3108635, 0.8276092, 2, 72.21462, 72.87432, 73.53403, 74.19373, 74.85344, 75.51315, 76.17285, 76.83256, 77.49227, 78.15197, 78.81168, 79.47138, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 72.67, 73.44, 73.47, 74.08, 74.34, 75.37, 75.97, 75.89, 77.32, 78.32, 79.05, 80.196, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Poland	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 61.310, 65.770, 67.640, 69.610, 70.850, 70.670, 71.320, 70.980, 70.990, 72.750, 74.670, 75.563, 25730551.000, 28235346.000, 30329617.000, 31785378.000, 33039545.000, 34621254.000, 36227381.000, 37740710.000, 38370697.000, 38654957.000, 38625976.000, 38518241.000, 4029.330, 4734.253, 5338.752, 6557.153, 8006.507, 9508.141, 8451.531, 9082.351, 7738.881, 10159.584, 12002.239, 15389.925	-318.2384, 0.1962189, -3.470897, 0.008008159, 0.8969138, 1.885819, 2.144725, 0.9836305, 0.6525361, -0.6685583, -1.639653, -0.8607471, 0.07815851, -0.009935897, -243.1, 11.73218, 1.557423, 2.597919, 2.908415, 1.79891, 1.519406, 0.2499015, -0.6696028, 0.1608928, 1.151389, 1.114884, 2, 64.7809, 65.76199, 66.74309, 67.72418, 68.70528, 69.68637, 70.66746, 71.64856, 72.62965, 73.61075, 74.59184, 75.57294, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 61.31, 65.77, 67.64, 69.61, 70.85, 70.67, 71.32, 70.98, 70.99, 72.75, 74.67, 75.563, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Portugal	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 59.820, 61.510, 64.390, 66.600, 69.260, 70.410, 72.770, 74.060, 74.860, 75.970, 77.290, 78.098, 8526050.000, 8817650.000, 9019800.000, 9103000.000, 8970450.000, 9662600.000, 9859650.000, 9915289.000, 9927680.000, 10156415.000, 10433867.000, 10642836.000, 3068.320, 3774.572, 4727.955, 6361.518, 9022.247, 10172.486, 11753.843, 13039.309, 16207.267, 17641.032, 19970.908, 20509.648	-597.0703, 0.3372014, -1.326795, -1.322802, -0.1288089, 0.3951841, 1.369177, 0.8331702, 1.507163, 1.111156, 0.2251492, -0.3508578, -0.7168648, -1.594872, -243.9415, 20.16171, 0.3211671, 0.7778034, 1.68444, 1.081076, 1.687712, 1.224349, 0.2709848, -0.3723789, -0.8057426, -1.751106, 2, 61.14679, 62.8328, 64.51881, 66.20482, 67.89082, 69.57683, 71.26284, 72.94884, 74.63485, 76.32086, 78.00686, 79.69287, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 59.82, 61.51, 64.39, 66.6, 69.26, 70.41, 72.77, 74.06, 74.86, 75.97, 77.29, 78.098, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Romania	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 61.050, 64.100, 66.800, 66.800, 69.210, 69.460, 69.660, 69.530, 69.360, 69.720, 71.322, 72.476, 16630000.000, 17829327.000, 18680721.000, 19284814.000, 20662648.000, 21658597.000, 22356726.000, 22686371.000, 22797027.000, 22562458.000, 22404337.000, 22276056.000, 3144.613, 3943.370, 4734.998, 6470.867, 8011.414, 9356.397, 9605.314, 9696.273, 6598.410, 7346.548, 7885.360, 10808.476	-243.2854, 0.1574014, -2.912128, -0.6491352, 1.263858, 0.4768508, 2.099844, 1.562837, 0.9758298, 0.05882284, -0.8981841, -1.325191, -0.5101981, -0.1432051, -236.5658, 9.411235, 1.915724, 1.128927, 2.752131, 2.215335, 1.628538, 0.7117422, -0.2450541, -0.6718504, 0.1433533, 0.510557, 2, 63.96213, 64.74914, 65.53614, 66.32315, 67.11016, 67.89716, 68.68417, 69.47118, 70.25818, 71.04519, 71.8322, 72.61921, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 61.05, 64.1, 66.8, 66.8, 69.21, 69.46, 69.66, 69.53, 69.36, 69.72, 71.322, 72.476, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Serbia	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 57.996, 61.685, 64.531, 66.914, 68.700, 70.300, 70.162, 71.218, 71.659, 72.232, 73.213, 74.002, 6860147.000, 7271135.000, 7616060.000, 7971222.000, 8313288.000, 8686367.000, 9032824.000, 9230783.000, 9826397.000, 10336594.000, 10111559.000, 10150265.000, 3581.459, 4981.091, 6289.629, 7991.707, 10522.067, 12980.670, 15181.093, 15870.879, 9325.068, 7914.320, 7236.075, 9786.535	-436.5205, 0.255151, -3.538346, -1.125101, 0.4451434, 1.552388, 2.062633, 2.386878, 0.9731224, 0.7533671, -0.08138811, -0.7841434, -1.078899, -1.565654, -237.4676, 15.25581, 1.287288, 2.372697, 2.861106, 3.163515, 1.727924, 1.486332, 0.6297411, -0.09485009, -0.4114413, -0.9200325, 2, 61.53435, 62.8101, 64.08586, 65.36161, 66.63737, 67.91312, 69.18888, 70.46463, 71.74039, 73.01614, 74.2919, 75.56765, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 57.996, 61.685, 64.531, 66.914, 68.7, 70.3, 70.162, 71.218, 71.659, 72.232, 73.213, 74.002, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Slovak Republic	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 64.360, 67.450, 70.330, 70.980, 70.350, 70.450, 70.800, 71.080, 71.380, 72.710, 73.800, 74.663, 3558137.000, 3844277.000, 4237384.000, 4442238.000, 4593433.000, 4827803.000, 5048043.000, 5199318.000, 5302888.000, 5383010.000, 5410052.000, 5447502.000, 5074.659, 6093.263, 7481.108, 8412.902, 9674.168, 10922.664, 11348.546, 12037.268, 9498.468, 12126.231, 13638.778, 18678.314	-194.6441, 0.1340441, -2.649872, -0.2300921, 1.979688, 1.959467, 0.6592471, 0.08902681, -0.2311935, -0.6214138, -0.991634, -0.3318543, 0.08792541, 0.2807051, -244.8984, 8.014669, 2.519139, 2.522793, 1.246446, 0.7000992, 0.4037525, 0.03740576, -0.308941, 0.3747123, 0.8183656, 1.035019, 2, 67.00987, 67.68009, 68.35031, 69.02053, 69.69075, 70.36097, 71.03119, 71.70141, 72.37163, 73.04185, 73.71207, 74.38229, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 64.36, 67.45, 70.33, 70.98, 70.35, 70.45, 70.8, 71.08, 71.38, 72.71, 73.8, 74.663, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Slovenia	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 65.570, 67.850, 69.150, 69.180, 69.820, 70.970, 71.063, 72.250, 73.640, 75.130, 76.660, 77.926, 1489518.000, 1533070.000, 1582962.000, 1646912.000, 1694510.000, 1746919.000, 1861252.000, 1945870.000, 1999210.000, 2011612.000, 2011497.000, 2009245.000, 4215.042, 5862.277, 7402.303, 9405.489, 12383.486, 15277.030, 17866.722, 18678.535, 14214.717, 17161.107, 20660.019, 25768.258	-325.3361, 0.2005238, -0.5163462, 0.761035, 1.058416, 0.0857972, -0.2768217, -0.1294406, -1.039059, -0.8546783, -0.4672972, 0.02008392, 0.547465, 0.8108462, -248.0323, 11.98958, 1.043497, 0.128457, -0.1765835, 0.02837609, -0.8236644, -0.5817048, -0.1367453, 0.4082143, 0.9931738, 1.314133, 2, 66.08635, 67.08897, 68.09158, 69.0942, 70.09682, 71.09944, 72.10206, 73.10468, 74.1073, 75.10992, 76.11253, 77.11515, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 65.57, 67.85, 69.15, 69.18, 69.82, 70.97, 71.063, 72.25, 73.64, 75.13, 76.66, 77.926, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Spain	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 64.940, 66.660, 69.690, 71.440, 73.060, 74.390, 76.300, 76.900, 77.570, 78.770, 79.780, 80.941, 28549870.000, 29841614.000, 31158061.000, 32850275.000, 34513161.000, 36439000.000, 37983310.000, 38880702.000, 39549438.000, 39855442.000, 40152517.000, 40448191.000, 3834.035, 4564.802, 5693.844, 7993.512, 10638.751, 13236.921, 13926.170, 15764.983, 18603.065, 20445.299, 24835.472, 28821.064	-481.899, 0.2809308, -1.537821, -1.222474, 0.4028718, 0.7482179, 0.9635641, 0.8889103, 1.394256, 0.5896026, -0.1450513, -0.3497051, -0.744359, -0.9880128, -257.0482, 16.79722, 0.8781345, 1.165818, 1.323501, 1.191184, 1.638867, 0.7765504, -0.01576638, -0.2780832, -0.7304, -1.031717, 2, 66.47782, 67.88247, 69.28713, 70.69178, 72.09644, 73.50109, 74.90574, 76.3104, 77.71505, 79.11971, 80.52436, 81.92901, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 64.94, 66.66, 69.69, 71.44, 73.06, 74.39, 76.3, 76.9, 77.57, 78.77, 79.78, 80.941, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Sweden	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 71.860, 72.490, 73.370, 74.160, 74.720, 75.440, 76.420, 77.190, 78.160, 79.390, 80.040, 80.884, 7124673.000, 7363802.000, 7561588.000, 7867931.000, 8122293.000, 8251648.000, 8325260.000, 8421403.000, 8718867.000, 8897619.000, 8954175.000, 9031088.000, 8527.845, 9911.878, 12329.442, 15258.297, 17832.025, 18855.725, 20667.381, 23586.929, 23880.017, 25266.595, 29341.631, 33859.748	-252.9239, 0.1662545, 0.255, 0.05372727, 0.1024545, 0.06118182, -0.2100909, -0.3213636, -0.1726364, -0.2339091, -0.09518182, 0.3035455, 0.1222727, 0.135, -263.8849, 9.940576, 0.04583789, 0.004342185, -0.2671535, -0.3786492, -0.2301449, -0.2916406, -0.1531363, 0.245368, 0.06387226, 0.07637656, 2, 71.605, 72.43627, 73.26755, 74.09882, 74.93009, 75.76136, 76.59264, 77.42391, 78.25518, 79.08645, 79.91773, 80.749, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 71.86, 72.49, 73.37, 74.16, 74.72, 75.44, 76.42, 77.19, 78.16, 79.39, 80.04, 80.884, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Switzerland	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 69.620, 70.560, 71.320, 72.770, 73.780, 75.390, 76.210, 77.410, 78.030, 79.370, 80.620, 81.701, 4815000.000, 5126000.000, 5666000.000, 6063000.000, 6401400.000, 6316424.000, 6468126.000, 6649942.000, 6995447.000, 7193761.000, 7361757.000, 7554661.000, 14734.233, 17909.490, 20431.093, 22966.144, 27195.113, 26982.291, 28397.715, 30281.705, 31871.530, 32135.323, 34480.958, 37506.419	-364.3421, 0.2222315, 0.1662821, -0.004875291, -0.3560326, -0.01718998, -0.1183473, 0.3804953, 0.089338, 0.1781807, -0.3129767, -0.08413403, 0.05470862, 0.02455128, -261.7651, 13.28751, -0.387007, -0.05093085, -0.1548547, 0.3412214, 0.04729748, 0.1333736, -0.3605503, -0.1344742, 0.001601928, -0.03132196, 2, 69.45372, 70.56488, 71.67603, 72.78719, 73.89835, 75.0095, 76.12066, 77.23182, 78.34298, 79.45413, 80.56529, 81.67645, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 69.62, 70.56, 71.32, 72.77, 73.78, 75.39, 76.21, 77.41, 78.03, 79.37, 80.62, 81.701, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Turkey	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.585, 48.079, 52.098, 54.336, 57.005, 59.507, 61.036, 63.108, 66.146, 68.835, 70.845, 71.777, 22235677.000, 25670939.000, 29788695.000, 33411317.000, 37492953.000, 42404033.000, 47328791.000, 52881328.000, 58179144.000, 63047647.000, 67308928.000, 71158647.000, 1969.101, 2218.754, 2322.870, 2826.356, 3450.696, 4269.122, 4241.356, 5089.044, 5678.348, 6601.430, 6508.086, 8458.276	-924.5899, 0.4972399, -2.437321, -0.4295198, 1.103281, 0.8550816, 1.037882, 1.053683, 0.09648368, -0.3177156, 0.2340851, 0.4368858, -0.03931352, -1.593513, -206.7945, 29.73062, 1.631916, 1.391366, 1.581815, 1.605265, 0.6557141, 0.2491636, 0.8086132, 1.019063, 0.5505122, -0.9960383, 2, 46.02232, 48.50852, 50.99472, 53.48092, 55.96712, 58.45332, 60.93952, 63.42572, 65.91191, 68.39811, 70.88431, 73.37051, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 43.585, 48.079, 52.098, 54.336, 57.005, 59.507, 61.036, 63.108, 66.146, 68.835, 70.845, 71.777, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
United Kingdom	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 69.180, 70.420, 70.760, 71.360, 72.010, 72.760, 74.040, 75.007, 76.420, 77.218, 78.471, 79.425, 50430000.000, 51430000.000, 53292000.000, 54959000.000, 56079000.000, 56179000.000, 56339704.000, 56981620.000, 57866349.000, 58808266.000, 59912431.000, 60776238.000, 9979.508, 11283.178, 12477.177, 14142.851, 15895.116, 17428.748, 18232.425, 21664.788, 22705.093, 26074.531, 29478.999, 33203.261	-294.1966, 0.1859657, 0.3714744, 0.6816457, 0.09181702, -0.2380117, -0.5178403, -0.697669, -0.3474977, -0.3103263, 0.172845, 0.04101632, 0.3641876, 0.388359, -256.0753, 11.11913, -0.08053332, -0.3710592, -0.6115852, -0.7521111, -0.362637, -0.2861629, 0.2363112, 0.1437853, 0.5062593, 0.5697334, 2, 68.80853, 69.73835, 70.66818, 71.59801, 72.52784, 73.45767, 74.3875, 75.31733, 76.24716, 77.17698, 78.10681, 79.03664, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 69.18, 70.42, 70.76, 71.36, 72.01, 72.76, 74.04, 75.007, 76.42, 77.218, 78.471, 79.425, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007

A grouped_df: 142 × 4
country	continent	data	model
<fct>	<fct>	<list>	<list>
Algeria	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.077, 45.685, 48.303, 51.407, 54.518, 58.014, 61.368, 65.799, 67.744, 69.152, 70.994, 72.301, 9279525.000, 10270856.000, 11000948.000, 12760499.000, 14760787.000, 17152804.000, 20033753.000, 23254956.000, 26298373.000, 29072015.000, 31287142.000, 33333216.000, 2449.008, 3013.976, 2550.817, 3246.992, 4182.664, 4910.417, 5745.160, 5681.359, 5023.217, 4797.295, 5288.040, 6223.367	-1067.859, 0.5692797, -0.2979744, -0.536373, -0.7647716, -0.5071702, -0.2425688, 0.4070326, 0.914634, 2.499235, 1.597837, 0.1594382, -0.8449604, -2.384359, -204.4865, 34.03798, -0.6280719, -0.4013136, -0.1675554, 0.4512029, 0.9279612, 2.481719, 1.549478, 0.08023599, -0.9550057, -2.525247, 2, 43.37497, 46.22137, 49.06777, 51.91417, 54.76057, 57.60697, 60.45337, 63.29976, 66.14616, 68.99256, 71.83896, 74.68536, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 43.077, 45.685, 48.303, 51.407, 54.518, 58.014, 61.368, 65.799, 67.744, 69.152, 70.994, 72.301, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Angola	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 30.015, 31.999, 34.000, 35.985, 37.928, 39.483, 39.942, 39.906, 40.647, 40.963, 41.003, 42.731, 4232095.000, 4561361.000, 4826015.000, 5247469.000, 5894858.000, 6162675.000, 7016384.000, 7874230.000, 8735988.000, 9875024.000, 10866106.000, 12420476.000, 3520.610, 3827.940, 4269.277, 5522.776, 5473.288, 3008.647, 2756.954, 2430.208, 2627.846, 2277.141, 2773.287, 4797.231	-376.5048, 0.2093399, -2.111654, -1.174353, -0.2200524, 0.7182483, 1.614549, 2.12285, 1.53515, 0.452451, 0.1467517, -0.5839476, -1.590647, -0.9093462, -131.2323, 12.5167, 0.3574398, 1.24968, 2.099921, 2.562161, 1.928402, 0.799642, 0.4478825, -0.3288771, -1.381637, -0.7463962, 2, 32.12665, 33.17335, 34.22005, 35.26675, 36.31345, 37.36015, 38.40685, 39.45355, 40.50025, 41.54695, 42.59365, 43.64035, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 30.015, 31.999, 34, 35.985, 37.928, 39.483, 39.942, 39.906, 40.647, 40.963, 41.003, 42.731, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Benin	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 38.2230, 40.3580, 42.6180, 44.8850, 47.0140, 49.1900, 50.9040, 52.3370, 53.9190, 54.7770, 54.4060, 56.7280, 1738315.0000, 1925173.0000, 2151895.0000, 2427334.0000, 2761407.0000, 3168267.0000, 3641603.0000, 4243788.0000, 4981671.0000, 6066080.0000, 7026113.0000, 8078314.0000, 1062.7522, 959.6011, 949.4991, 1035.8314, 1085.7969, 1029.1613, 1277.8976, 1225.8560, 1191.2077, 1232.9753, 1372.8779, 1441.2849	-612.834, 0.3342329, -1.365513, -0.9016772, -0.3128415, 0.2829942, 0.7408298, 1.245666, 1.288501, 1.050337, 0.9611725, 0.1480082, -1.894156, -1.243321, -168.9786, 19.98422, 0.08178907, 0.6384955, 1.057202, 1.522908, 1.526615, 1.249321, 1.121028, 0.2687342, -1.812559, -1.200853, 2, 39.58851, 41.25968, 42.93084, 44.60201, 46.27317, 47.94433, 49.6155, 51.28666, 52.95783, 54.62899, 56.30016, 57.97132, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 38.223, 40.358, 42.618, 44.885, 47.014, 49.19, 50.904, 52.337, 53.919, 54.777, 54.406, 56.728, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Botswana	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 47.6220, 49.6180, 51.5200, 53.2980, 56.0240, 59.3190, 61.4840, 63.6220, 62.7450, 52.5560, 46.6340, 50.7280, 442308.0000, 474639.0000, 512764.0000, 553541.0000, 619351.0000, 781472.0000, 970347.0000, 1151184.0000, 1342614.0000, 1536536.0000, 1630347.0000, 1639131.0000, 851.2411, 918.2325, 983.6540, 1214.7093, 2263.6111, 3214.8578, 4551.1421, 6205.8839, 7954.1116, 8647.1423, 11003.6051, 12569.8518	-65.49586, 0.06066853, -5.307115, -3.614458, -2.015801, -0.5411434, 1.881514, 4.873171, 6.734829, 8.569486, 7.389143, -3.103199, -9.328542, -5.537885, -189.1313, 3.627451, -0.4656616, 0.8496905, 3.113043, 5.945395, 7.647747, 9.323099, 7.983451, -2.668197, -9.052845, -5.421493, 2, 52.92912, 53.23246, 53.5358, 53.83914, 54.14249, 54.44583, 54.74917, 55.05251, 55.35586, 55.6592, 55.96254, 56.26588, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 47.622, 49.618, 51.52, 53.298, 56.024, 59.319, 61.484, 63.622, 62.745, 52.556, 46.634, 50.728, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Burkina Faso	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.197500e+01, 3.490600e+01, 3.781400e+01, 4.069700e+01, 4.359100e+01, 4.613700e+01, 4.812200e+01, 4.955700e+01, 5.026000e+01, 5.032400e+01, 5.065000e+01, 5.229500e+01, 4.469979e+06, 4.713416e+06, 4.919632e+06, 5.127935e+06, 5.433886e+06, 5.889574e+06, 6.634596e+06, 7.586551e+06, 8.878303e+06, 1.035284e+07, 1.225121e+07, 1.432620e+07, 5.432552e+02, 6.171835e+02, 7.225120e+02, 7.948266e+02, 8.547360e+02, 7.433870e+02, 8.071986e+02, 9.120631e+02, 9.317528e+02, 9.462950e+02, 1.037645e+03, 1.217033e+03	-675.7942, 0.3639748, -2.709692, -1.598566, -0.5104406, 0.5526853, 1.626811, 2.352937, 2.518063, 2.133189, 1.016315, -0.7395594, -2.233434, -2.408308, -154.8246, 21.76253, 0.2442503, 1.242254, 2.251257, 2.91226, 3.012263, 2.562267, 1.38027, -0.4407268, -1.999723, -2.23972, 2, 34.68469, 36.50457, 38.32444, 40.14431, 41.96419, 43.78406, 45.60394, 47.42381, 49.24369, 51.06356, 52.88343, 54.70331, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 31.975, 34.906, 37.814, 40.697, 43.591, 46.137, 48.122, 49.557, 50.26, 50.324, 50.65, 52.295, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Burundi	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 39.0310, 40.5330, 42.0450, 43.5480, 44.0570, 45.9100, 47.4710, 48.2110, 44.7360, 45.3260, 47.3600, 49.5800, 2445618.0000, 2667518.0000, 2961915.0000, 3330989.0000, 3529983.0000, 3834415.0000, 4580410.0000, 5126023.0000, 5809236.0000, 6121610.0000, 7021078.0000, 8390505.0000, 339.2965, 379.5646, 355.2032, 412.9775, 464.0995, 556.1033, 559.6032, 621.8188, 631.6999, 463.1151, 446.4035, 430.0707	-260.2914, 0.1541343, -1.547641, -0.8163124, -0.07498368, 0.657345, 0.3956737, 1.478002, 2.268331, 2.23766, -2.008012, -2.188683, -0.9253543, 0.5239744, -155.2518, 9.215889, 0.3416532, 1.043139, 0.750624, 1.802109, 2.561595, 2.50008, -1.776435, -1.987949, -0.7554638, 0.6630216, 2, 40.57864, 41.34931, 42.11998, 42.89066, 43.66133, 44.432, 45.20267, 45.97334, 46.74401, 47.51468, 48.28535, 49.05603, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 39.031, 40.533, 42.045, 43.548, 44.057, 45.91, 47.471, 48.211, 44.736, 45.326, 47.36, 49.58, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Cameroon	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 38.523, 40.428, 42.643, 44.799, 47.049, 49.355, 52.961, 54.985, 54.314, 52.199, 49.856, 50.430, 5009067.000, 5359923.000, 5793633.000, 6335506.000, 7021028.000, 7959865.000, 9250831.000, 10780667.000, 12467171.000, 14195809.000, 15929988.000, 17696293.000, 1172.668, 1313.048, 1399.607, 1508.453, 1684.147, 1783.433, 2367.983, 2602.664, 1793.163, 1694.337, 1934.011, 2042.095	-447.0372, 0.2501469, -2.726462, -2.072196, -1.10793, -0.2026643, 0.7966014, 1.851867, 4.207133, 4.980399, 3.058664, -0.3070699, -3.900804, -4.577538, -166.722, 14.95661, -0.279495, 0.5297886, 1.433072, 2.392356, 4.65164, 5.328923, 3.311207, -0.1505094, -3.840226, -4.612942, 2, 41.24946, 42.5002, 43.75093, 45.00166, 46.2524, 47.50313, 48.75387, 50.0046, 51.25534, 52.50607, 53.7568, 55.00754, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 38.523, 40.428, 42.643, 44.799, 47.049, 49.355, 52.961, 54.985, 54.314, 52.199, 49.856, 50.43, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Central African Republic	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 35.4630, 37.4640, 39.4750, 41.4780, 43.4570, 46.7750, 48.2950, 50.4850, 49.3960, 46.0660, 43.3080, 44.7410, 1291695.0000, 1392284.0000, 1523478.0000, 1733638.0000, 1927260.0000, 2167533.0000, 2476971.0000, 2840009.0000, 3265124.0000, 3696513.0000, 4048013.0000, 4369038.0000, 1071.3107, 1190.8443, 1193.0688, 1136.0566, 1070.0133, 1109.3743, 956.7530, 844.8764, 747.9055, 740.5063, 738.6906, 706.0165	-320.1742, 0.1839056, -3.346513, -2.265041, -1.173569, -0.09009674, 0.9693753, 3.367847, 3.968319, 5.238791, 3.230263, -1.019265, -4.696793, -4.183321, -151.9595, 10.99596, -0.198201, 0.7857459, 1.745693, 4.04464, 4.545586, 5.716533, 3.60848, -0.7405729, -4.517626, -4.103679, 2, 38.80951, 39.72904, 40.64857, 41.5681, 42.48762, 43.40715, 44.32668, 45.24621, 46.16574, 47.08526, 48.00479, 48.92432, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 35.463, 37.464, 39.475, 41.478, 43.457, 46.775, 48.295, 50.485, 49.396, 46.066, 43.308, 44.741, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Chad	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.809200e+01, 3.988100e+01, 4.171600e+01, 4.360100e+01, 4.556900e+01, 4.738300e+01, 4.951700e+01, 5.105100e+01, 5.172400e+01, 5.157300e+01, 5.052500e+01, 5.065100e+01, 2.682462e+06, 2.894855e+06, 3.150417e+06, 3.495967e+06, 3.899068e+06, 4.388260e+06, 4.875118e+06, 5.498955e+06, 6.429417e+06, 7.562011e+06, 8.835739e+06, 1.023881e+07, 1.178666e+03, 1.308496e+03, 1.389818e+03, 1.196811e+03, 1.104104e+03, 1.133985e+03, 7.979081e+02, 9.523861e+02, 1.058064e+03, 1.004961e+03, 1.156182e+03, 1.704064e+03	-454.523, 0.2532441, -1.717372, -1.194592, -0.6258124, -0.007032634, 0.6947471, 1.242527, 2.110307, 2.378086, 1.784866, 0.3676457, -1.946575, -3.086795, -162.0284, 15.14179, -0.1204726, 0.445117, 1.093707, 1.588296, 2.402886, 2.617475, 1.971065, 0.5006542, -1.866756, -3.060167, 2, 39.80937, 41.07559, 42.34181, 43.60803, 44.87425, 46.14047, 47.40669, 48.67291, 49.93913, 51.20535, 52.47157, 53.73779, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 38.092, 39.881, 41.716, 43.601, 45.569, 47.383, 49.517, 51.051, 51.724, 51.573, 50.525, 50.651, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Comoros	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 40.7150, 42.4600, 44.4670, 46.4720, 48.9440, 50.9390, 52.9330, 54.9260, 57.9390, 60.6600, 62.9740, 65.1520, 153936.0000, 170928.0000, 191689.0000, 217378.0000, 250027.0000, 304739.0000, 348643.0000, 395114.0000, 454429.0000, 527982.0000, 614382.0000, 710960.0000, 1102.9909, 1211.1485, 1406.6483, 1876.0296, 1937.5777, 1172.6030, 1267.1001, 1315.9808, 1246.9074, 1173.6182, 1075.8116, 986.1479	-839.1671, 0.4503909, 0.719, 0.2120455, -0.03290909, -0.2798636, -0.05981818, -0.3167727, -0.5747273, -0.8336818, -0.07263636, 0.3964091, 0.4584545, 0.3845, -181.4557, 26.92946, -0.2015656, -0.4451718, -0.221778, -0.4753842, -0.7299904, -0.9855966, -0.2212028, 0.2511911, 0.3165849, 0.2459787, 2, 39.996, 42.24795, 44.49991, 46.75186, 49.00382, 51.25577, 53.50773, 55.75968, 58.01164, 60.26359, 62.51555, 64.7675, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 40.715, 42.46, 44.467, 46.472, 48.944, 50.939, 52.933, 54.926, 57.939, 60.66, 62.974, 65.152, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Congo, Dem. Rep.	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.914300e+01, 4.065200e+01, 4.212200e+01, 4.405600e+01, 4.598900e+01, 4.780400e+01, 4.778400e+01, 4.741200e+01, 4.554800e+01, 4.258700e+01, 4.496600e+01, 4.646200e+01, 1.410000e+07, 1.557793e+07, 1.748643e+07, 1.994107e+07, 2.300767e+07, 2.648087e+07, 3.064650e+07, 3.548164e+07, 4.167214e+07, 4.779899e+07, 5.537985e+07, 6.460676e+07, 7.805423e+02, 9.058602e+02, 8.963146e+02, 8.615932e+02, 9.048961e+02, 7.957573e+02, 6.737478e+02, 6.727748e+02, 4.577192e+02, 3.121884e+02, 2.411659e+02, 2.775519e+02	-141.3618, 0.09391538, -2.818077, -1.778654, -0.7782308, 0.6861923, 2.149615, 3.495038, 3.005462, 2.163885, -0.1696923, -3.600269, -1.690846, -0.6644231, -154.3041, 5.615323, 0.02394693, 1.413015, 2.801082, 4.07115, 3.506217, 2.589285, 0.1803524, -3.32558, -1.491512, -0.5404448, 2, 41.96108, 42.43065, 42.90023, 43.36981, 43.83938, 44.30896, 44.77854, 45.24812, 45.71769, 46.18727, 46.65685, 47.12642, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 39.143, 40.652, 42.122, 44.056, 45.989, 47.804, 47.784, 47.412, 45.548, 42.587, 44.966, 46.462, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Congo, Rep.	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.111, 45.053, 48.435, 52.040, 54.907, 55.625, 56.695, 57.470, 56.433, 52.962, 52.970, 55.322, 854885.000, 940458.000, 1047924.000, 1179760.000, 1340458.000, 1536769.000, 1774735.000, 2064095.000, 2409073.000, 2800947.000, 3328795.000, 3800610.000, 2125.621, 2315.057, 2464.783, 2677.940, 3213.153, 3259.179, 4879.508, 4201.195, 4016.240, 3484.164, 3484.062, 3632.558	-333.6902, 0.1950958, -5.025782, -3.059261, -0.6527401, 1.976781, 3.868302, 3.610823, 3.705344, 3.504865, 1.492386, -2.954093, -3.921572, -2.545051, -181.872, 11.66503, 0.761068, 3.263608, 5.028148, 4.643688, 4.611228, 4.283768, 2.144308, -2.429152, -3.523612, -2.274072, 2, 47.13678, 48.11226, 49.08774, 50.06322, 51.0387, 52.01418, 52.98966, 53.96514, 54.94061, 55.91609, 56.89157, 57.86705, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 42.111, 45.053, 48.435, 52.04, 54.907, 55.625, 56.695, 57.47, 56.433, 52.962, 52.97, 55.322, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Cote d'Ivoire	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 40.477, 42.469, 44.930, 47.350, 49.801, 52.374, 53.983, 54.655, 52.044, 47.991, 46.832, 48.328, 2977019.000, 3300000.000, 3832408.000, 4744870.000, 6071696.000, 7459574.000, 9025951.000, 10761098.000, 12772596.000, 14625967.000, 16252726.000, 18013409.000, 1388.595, 1500.896, 1728.869, 2052.050, 2378.201, 2517.737, 2602.710, 2156.956, 1648.074, 1786.265, 1648.801, 1544.750	-210.0007, 0.1305566, -4.368859, -3.029642, -1.221425, 0.5457914, 2.344008, 4.264225, 5.220442, 5.239659, 1.975875, -2.729908, -4.541691, -3.698474, -167.7878, 7.806152, 0.06273315, 1.695249, 3.358766, 5.144282, 5.965798, 5.850315, 2.451831, -2.388653, -4.335136, -3.62662, 2, 44.84586, 45.49864, 46.15143, 46.80421, 47.45699, 48.10978, 48.76256, 49.41534, 50.06812, 50.72091, 51.37369, 52.02647, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 40.477, 42.469, 44.93, 47.35, 49.801, 52.374, 53.983, 54.655, 52.044, 47.991, 46.832, 48.328, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Djibouti	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 34.812, 37.328, 39.693, 42.074, 44.366, 46.519, 48.812, 50.040, 51.604, 53.157, 53.373, 54.791, 63149.000, 71851.000, 89898.000, 127617.000, 178848.000, 228694.000, 305991.000, 311025.000, 384156.000, 417908.000, 447416.000, 496374.000, 2669.529, 2864.969, 3020.989, 3020.051, 3694.212, 3081.761, 2879.468, 2880.103, 2377.156, 1895.017, 1908.261, 2082.482	-680.8945, 0.3674035, -1.465154, -0.7861713, -0.2581888, 0.2857937, 0.7407762, 1.056759, 1.512741, 0.9037238, 0.6307063, 0.3466888, -1.274329, -1.693346, -160.6676, 21.96753, 0.138233, 0.6521382, 1.077043, 1.362949, 1.788854, 1.149759, 0.8466643, 0.5325695, -1.118525, -1.56762, 2, 36.27715, 38.11417, 39.95119, 41.78821, 43.62522, 45.46224, 47.29926, 49.13628, 50.97329, 52.81031, 54.64733, 56.48435, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 34.812, 37.328, 39.693, 42.074, 44.366, 46.519, 48.812, 50.04, 51.604, 53.157, 53.373, 54.791, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Egypt	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 41.893, 44.444, 46.992, 49.293, 51.137, 53.319, 56.006, 59.797, 63.674, 67.217, 69.806, 71.338, 22223309.000, 25009741.000, 28173309.000, 31681188.000, 34807417.000, 38783863.000, 45681811.000, 52799062.000, 59402198.000, 66134291.000, 73312559.000, 80264543.000, 1418.822, 1458.915, 1693.336, 1814.881, 2024.008, 2785.494, 3503.730, 3885.461, 3794.755, 4173.182, 4754.604, 5581.181	-1043.279, 0.5554545, 0.925, 0.6987273, 0.4694545, -0.006818182, -0.9400909, -1.535364, -1.625636, -0.6119091, 0.4878182, 1.253545, 1.065273, -0.18, -194.8315, 33.21135, 0.1890341, -0.2549575, -1.155949, -1.718941, -1.776932, -0.730924, 0.4010843, 1.199093, 1.043101, -0.1698906, 2, 40.968, 43.74527, 46.52255, 49.29982, 52.07709, 54.85436, 57.63164, 60.40891, 63.18618, 65.96345, 68.74073, 71.518, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 41.893, 44.444, 46.992, 49.293, 51.137, 53.319, 56.006, 59.797, 63.674, 67.217, 69.806, 71.338, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Equatorial Guinea	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 34.4820, 35.9830, 37.4850, 38.9870, 40.5160, 42.0240, 43.6620, 45.6640, 47.5450, 48.2450, 49.3480, 51.5790, 216964.0000, 232922.0000, 249220.0000, 259864.0000, 277603.0000, 192675.0000, 285483.0000, 341244.0000, 387838.0000, 439971.0000, 495627.0000, 551201.0000, 375.6431, 426.0964, 582.8420, 915.5960, 672.4123, 958.5668, 927.8253, 966.8968, 1132.0550, 2814.4808, 7703.4959, 12154.0897	-571.0228, 0.3101706, 0.05169231, 0.001839161, -0.04701399, -0.09586713, -0.1177203, -0.1605734, -0.07342657, 0.3777203, 0.7078671, -0.142986, -0.5908392, 0.08930769, -148.8178, 18.54551, -0.05714271, -0.1066356, -0.1291284, -0.1726213, -0.08611414, 0.364393, 0.6939001, -0.1575927, -0.6060856, 0.07342156, 2, 34.43031, 35.98116, 37.53201, 39.08287, 40.63372, 42.18457, 43.73543, 45.28628, 46.83713, 48.38799, 49.93884, 51.48969, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 34.482, 35.983, 37.485, 38.987, 40.516, 42.024, 43.662, 45.664, 47.545, 48.245, 49.348, 51.579, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Eritrea	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 35.9280, 38.0470, 40.1580, 42.1890, 44.1420, 44.5350, 43.8900, 46.4530, 49.9910, 53.3780, 55.2400, 58.0400, 1438760.0000, 1542611.0000, 1666618.0000, 1820319.0000, 2260187.0000, 2512642.0000, 2637297.0000, 2915959.0000, 3668440.0000, 4058319.0000, 4414865.0000, 4906585.0000, 328.9406, 344.1619, 380.9958, 468.7950, 514.3242, 505.7538, 524.8758, 521.1341, 582.8585, 913.4708, 765.3500, 641.3695	-695.7, 0.3746902, 0.2327308, 0.4782797, 0.7158287, 0.8733776, 0.9529266, -0.5275245, -3.045976, -2.356427, -0.6918776, 0.8216713, 0.8102203, 1.736769, -159.3461, 22.40322, 0.6002203, 0.7857569, 0.8932935, -0.5591699, -3.049633, -2.332097, -0.6395601, 0.9019765, 0.9185131, 1.87305, 2, 35.69527, 37.56872, 39.44217, 41.31562, 43.18907, 45.06252, 46.93598, 48.80943, 50.68288, 52.55633, 54.42978, 56.30323, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 35.928, 38.047, 40.158, 42.189, 44.142, 44.535, 43.89, 46.453, 49.991, 53.378, 55.24, 58.04, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Ethiopia	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.407800e+01, 3.666700e+01, 4.005900e+01, 4.211500e+01, 4.351500e+01, 4.451000e+01, 4.491600e+01, 4.668400e+01, 4.809100e+01, 4.940200e+01, 5.072500e+01, 5.294700e+01, 2.086094e+07, 2.281561e+07, 2.514537e+07, 2.786030e+07, 3.077037e+07, 3.461780e+07, 3.811176e+07, 4.299953e+07, 5.208856e+07, 5.986130e+07, 6.794680e+07, 7.651189e+07, 3.621463e+02, 3.789042e+02, 4.194564e+02, 5.161186e+02, 5.662439e+02, 5.568084e+02, 5.778607e+02, 5.737413e+02, 4.213535e+02, 5.158894e+02, 5.300535e+02, 6.908056e+02	-563.5976, 0.3071853, -1.950154, -0.8970804, 0.958993, 1.479066, 1.34314, 0.8022133, -0.3277133, -0.09563986, -0.2245664, -0.449493, -0.6624196, 0.02365385, -154.0685, 18.36701, 1.464397, 1.954244, 1.788091, 1.216939, 0.05678616, 0.2586336, 0.09948095, -0.1556717, -0.3988243, 0.2570231, 2, 36.02815, 37.56408, 39.10001, 40.63593, 42.17186, 43.70779, 45.24371, 46.77964, 48.31557, 49.85149, 51.38742, 52.92335, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 34.078, 36.667, 40.059, 42.115, 43.515, 44.51, 44.916, 46.684, 48.091, 49.402, 50.725, 52.947, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Gabon	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 37.003, 38.999, 40.489, 44.598, 48.690, 52.790, 56.564, 60.190, 61.366, 60.461, 56.761, 56.735, 420702.000, 434904.000, 455661.000, 489004.000, 537977.000, 706367.000, 753874.000, 880397.000, 985739.000, 1126189.000, 1299304.000, 1454867.000, 4293.476, 4976.198, 6631.459, 8358.762, 11401.948, 21745.573, 15113.362, 11864.408, 13522.158, 14722.842, 12521.714, 13206.485	-833.0872, 0.4467329, -1.932346, -2.17001, -2.913675, -1.038339, 0.8199965, 2.686332, 4.226668, 5.619003, 4.561339, 1.422675, -4.51099, -6.770654, -177.433, 26.71074, -2.222063, -0.4608164, 1.28343, 3.035676, 4.461923, 5.740169, 4.568416, 1.315662, -4.732092, -7.105845, 2, 38.93535, 41.16901, 43.40267, 45.63634, 47.87, 50.10367, 52.33733, 54.571, 56.80466, 59.03833, 61.27199, 63.50565, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 37.003, 38.999, 40.489, 44.598, 48.69, 52.79, 56.564, 60.19, 61.366, 60.461, 56.761, 56.735, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Gambia	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 30.0000, 32.0650, 33.8960, 35.8570, 38.3080, 41.8420, 45.5800, 49.2650, 52.6440, 55.8610, 58.0410, 59.4480, 284320.0000, 323150.0000, 374020.0000, 439593.0000, 517101.0000, 608274.0000, 715523.0000, 848406.0000, 1025384.0000, 1235767.0000, 1457766.0000, 1688359.0000, 485.2307, 520.9267, 599.6503, 734.7829, 756.0868, 884.7553, 835.8096, 611.6589, 665.6244, 653.7302, 660.5856, 752.7497	-1107.324, 0.5818259, 1.599628, 0.7554988, -0.3226305, -1.27076, -1.728889, -1.104019, -0.275148, 0.5007226, 0.9705932, 1.278464, 0.5493345, -0.9527949, -153.8081, 34.78813, -0.7401202, -1.662165, -2.09421, -1.443255, -0.5882999, 0.2136552, 0.7096102, 1.043565, 0.3405204, -1.135525, 2, 28.40037, 31.3095, 34.21863, 37.12776, 40.03689, 42.94602, 45.85515, 48.76428, 51.67341, 54.58254, 57.49167, 60.40079, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 30, 32.065, 33.896, 35.857, 38.308, 41.842, 45.58, 49.265, 52.644, 55.861, 58.041, 59.448, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Ghana	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.314900e+01, 4.477900e+01, 4.645200e+01, 4.807200e+01, 4.987500e+01, 5.175600e+01, 5.374400e+01, 5.572900e+01, 5.750100e+01, 5.855600e+01, 5.845300e+01, 6.002200e+01, 5.581001e+06, 6.391288e+06, 7.355248e+06, 8.490213e+06, 9.354120e+06, 1.053809e+07, 1.140034e+07, 1.416810e+07, 1.627874e+07, 1.841829e+07, 2.055075e+07, 2.287334e+07, 9.112989e+02, 1.043562e+03, 1.190041e+03, 1.125697e+03, 1.178224e+03, 9.932240e+02, 8.760326e+02, 8.470061e+02, 9.250602e+02, 1.005246e+03, 1.111985e+03, 1.327609e+03	-584.5489, 0.3217427, -0.3437436, -0.3224569, -0.2581702, -0.2468834, -0.05259674, 0.21969, 0.5989767, 0.9752634, 1.13855, 0.5848368, -1.126876, -1.16659, -181.3134, 19.23741, -0.1446078, -0.1494417, 0.0287245, 0.2848906, 0.6480568, 1.008223, 1.155389, 0.5855552, -1.142279, -1.198112, 2, 43.49274, 45.10146, 46.71017, 48.31888, 49.9276, 51.53631, 53.14502, 54.75374, 56.36245, 57.97116, 59.57988, 61.18859, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 43.149, 44.779, 46.452, 48.072, 49.875, 51.756, 53.744, 55.729, 57.501, 58.556, 58.453, 60.022, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Guinea	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 33.6090, 34.5580, 35.7530, 37.1970, 38.8420, 40.7620, 42.8910, 45.5520, 48.5760, 51.4550, 53.6760, 56.0070, 2664249.0000, 2876726.0000, 3140003.0000, 3451418.0000, 3811387.0000, 4227026.0000, 4710497.0000, 5650262.0000, 6990574.0000, 8048834.0000, 8807818.0000, 9947814.0000, 510.1965, 576.2670, 686.3737, 708.7595, 741.6662, 874.6859, 857.2504, 805.5725, 794.3484, 869.4498, 945.5836, 942.6542	-797.7127, 0.4248308, 2.052013, 0.876859, -0.05229487, -0.7324487, -1.211603, -1.415756, -1.41091, -0.8740641, 0.02578205, 0.7806282, 0.8774744, 1.084321, -149.7872, 25.40119, -0.5741052, -1.22686, -1.678614, -1.855368, -1.823123, -1.258877, -0.3316318, 0.4506138, 0.5748593, 0.8091049, 2, 31.55699, 33.68114, 35.80529, 37.92945, 40.0536, 42.17776, 44.30191, 46.42606, 48.55022, 50.67437, 52.79853, 54.92268, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 33.609, 34.558, 35.753, 37.197, 38.842, 40.762, 42.891, 45.552, 48.576, 51.455, 53.676, 56.007, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Guinea-Bissau	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 32.5000, 33.4890, 34.4880, 35.4920, 36.4860, 37.4650, 39.3270, 41.2450, 43.2660, 44.8730, 45.5040, 46.3880, 580653.0000, 601095.0000, 627820.0000, 601287.0000, 625361.0000, 745228.0000, 825987.0000, 927524.0000, 1050938.0000, 1193708.0000, 1332459.0000, 1472041.0000, 299.8503, 431.7905, 522.0344, 715.5806, 820.2246, 764.7260, 838.1240, 736.4154, 745.5399, 796.6645, 575.7047, 579.2317	-498.7251, 0.2717531, 0.7629615, 0.3931958, 0.03343007, -0.3213357, -0.6861014, -1.065867, -0.5626329, -0.003398601, 0.6588357, 0.9070699, 0.1793042, -0.2954615, -135.8283, 16.24847, -0.1705898, -0.5107567, -0.8609236, -1.22609, -0.7082573, -0.1344242, 0.5424089, 0.8052421, 0.09207519, -0.3680917, 2, 31.73704, 33.0958, 34.45457, 35.81334, 37.1721, 38.53087, 39.88963, 41.2484, 42.60716, 43.96593, 45.3247, 46.68346, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 32.5, 33.489, 34.488, 35.492, 36.486, 37.465, 39.327, 41.245, 43.266, 44.873, 45.504, 46.388, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Kenya	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.227000e+01, 4.468600e+01, 4.794900e+01, 5.065400e+01, 5.355900e+01, 5.615500e+01, 5.876600e+01, 5.933900e+01, 5.928500e+01, 5.440700e+01, 5.099200e+01, 5.411000e+01, 6.464046e+06, 7.454779e+06, 8.678557e+06, 1.019151e+07, 1.204478e+07, 1.450040e+07, 1.766145e+07, 2.119808e+07, 2.502054e+07, 2.826383e+07, 3.138684e+07, 3.561018e+07, 8.535409e+02, 9.444383e+02, 8.969664e+02, 1.056736e+03, 1.222360e+03, 1.267613e+03, 1.348226e+03, 1.361937e+03, 1.341922e+03, 1.360485e+03, 1.287515e+03, 1.463249e+03	-356.101, 0.2065077, -4.732038, -3.348577, -1.118115, 0.5543462, 2.426808, 3.990269, 5.568731, 5.109192, 4.022654, -1.887885, -6.335423, -4.249962, -182.4923, 12.34736, 0.2827862, 1.804944, 3.527102, 4.94026, 6.368417, 5.758575, 4.521733, -1.539109, -6.136952, -4.201794, 2, 47.00204, 48.03458, 49.06712, 50.09965, 51.13219, 52.16473, 53.19727, 54.22981, 55.26235, 56.29488, 57.32742, 58.35996, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 42.27, 44.686, 47.949, 50.654, 53.559, 56.155, 58.766, 59.339, 59.285, 54.407, 50.992, 54.11, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Lesotho	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 42.1380, 45.0470, 47.7470, 48.4920, 49.7670, 52.2080, 55.0780, 57.1800, 59.6850, 55.5580, 44.5930, 42.5920, 748747.0000, 813338.0000, 893143.0000, 996380.0000, 1116779.0000, 1251524.0000, 1411807.0000, 1599200.0000, 1803195.0000, 1982823.0000, 2046772.0000, 2012649.0000, 298.8462, 335.9971, 411.8006, 498.6390, 496.5816, 745.3695, 797.2631, 773.9932, 977.4863, 1186.1480, 1275.1846, 1569.3314	-139.1653, 0.09556573, -5.241026, -2.809854, -0.587683, -0.3205117, 0.4766597, 2.439831, 4.832002, 6.456174, 8.483345, 3.878516, -7.564312, -10.04314, -173.2296, 5.714, 0.8300106, 0.9897477, 1.679485, 3.535222, 5.819959, 7.336696, 9.256433, 4.54417, -7.006093, -9.592356, 2, 47.37903, 47.85685, 48.33468, 48.81251, 49.29034, 49.76817, 50.246, 50.72383, 51.20166, 51.67948, 52.15731, 52.63514, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 42.138, 45.047, 47.747, 48.492, 49.767, 52.208, 55.078, 57.18, 59.685, 55.558, 44.593, 42.592, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Liberia	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 38.4800, 39.4860, 40.5020, 41.5360, 42.6140, 43.7640, 44.8520, 46.0270, 40.8020, 42.2210, 43.7530, 45.6780, 863308.0000, 975950.0000, 1112796.0000, 1279406.0000, 1482628.0000, 1703617.0000, 1956875.0000, 2269414.0000, 1912974.0000, 2200725.0000, 2814651.0000, 3193942.0000, 575.5730, 620.9700, 634.1952, 713.6036, 803.0055, 640.3224, 572.1996, 506.1139, 636.6229, 609.1740, 531.4824, 414.5073	-147.5433, 0.09599371, -1.356423, -0.8303916, -0.2943601, 0.2596713, 0.8577028, 1.527734, 2.135766, 2.830797, -2.874171, -1.93514, -0.8831084, 0.5619231, -147.142, 5.739589, 0.08791952, 0.6073698, 1.17082, 1.80627, 2.379721, 3.040171, -2.699379, -1.794928, -0.7774782, 0.6329721, 2, 39.83642, 40.31639, 40.79636, 41.27633, 41.7563, 42.23627, 42.71623, 43.1962, 43.67617, 44.15614, 44.63611, 45.11608, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 38.48, 39.486, 40.502, 41.536, 42.614, 43.764, 44.852, 46.027, 40.802, 42.221, 43.753, 45.678, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Libya	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.723, 45.289, 47.808, 50.227, 52.773, 57.442, 62.155, 66.234, 68.755, 71.555, 72.737, 73.952, 1019729.000, 1201578.000, 1441863.000, 1759224.000, 2183877.000, 2721783.000, 3344074.000, 3799845.000, 4364501.000, 4759670.000, 5368585.000, 6036914.000, 2387.548, 3448.284, 6757.031, 18772.752, 21011.497, 21951.212, 17364.275, 11770.590, 9640.139, 9467.446, 9534.677, 12057.499	-1178.944, 0.6255357, 0.6210641, 0.05938578, -0.5492925, -1.257971, -1.839649, -0.2983275, 1.286994, 2.238316, 1.631638, 1.303959, -0.6417191, -2.554397, -205.4357, 37.40159, -0.6765396, -1.390455, -1.97737, -0.4412853, 1.138799, 2.084884, 1.472969, 1.140054, -0.8108615, -2.728777, 2, 42.10194, 45.22961, 48.35729, 51.48497, 54.61265, 57.74033, 60.86801, 63.99568, 67.12336, 70.25104, 73.37872, 76.5064, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 42.723, 45.289, 47.808, 50.227, 52.773, 57.442, 62.155, 66.234, 68.755, 71.555, 72.737, 73.952, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Madagascar	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.668100e+01, 3.886500e+01, 4.084800e+01, 4.288100e+01, 4.485100e+01, 4.688100e+01, 4.896900e+01, 4.935000e+01, 5.221400e+01, 5.497800e+01, 5.728600e+01, 5.944300e+01, 4.762912e+06, 5.181679e+06, 5.703324e+06, 6.334556e+06, 7.082430e+06, 8.007166e+06, 9.171477e+06, 1.056864e+07, 1.221040e+07, 1.416511e+07, 1.647348e+07, 1.916765e+07, 1.443012e+03, 1.589203e+03, 1.643387e+03, 1.634047e+03, 1.748563e+03, 1.544229e+03, 1.302879e+03, 1.155442e+03, 1.040676e+03, 9.862959e+02, 8.946371e+02, 1.044770e+03	-751.4089, 0.403728, 0.0129359, 0.178296, 0.1426562, 0.1570163, 0.1083765, 0.1197366, 0.1890967, -1.448543, -0.603183, 0.1421772, 0.4315373, 0.5698974, -165.4822, 24.13942, 0.1136328, 0.1395124, 0.1023921, 0.1252717, 0.2061513, -1.419969, -0.5630894, 0.1937902, 0.4946699, 0.6445495, 2, 36.66806, 38.6867, 40.70534, 42.72398, 44.74262, 46.76126, 48.7799, 50.79854, 52.81718, 54.83582, 56.85446, 58.8731, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 36.681, 38.865, 40.848, 42.881, 44.851, 46.881, 48.969, 49.35, 52.214, 54.978, 57.286, 59.443, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Malawi	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.625600e+01, 3.720700e+01, 3.841000e+01, 3.948700e+01, 4.176600e+01, 4.376700e+01, 4.564200e+01, 4.745700e+01, 4.942000e+01, 4.749500e+01, 4.500900e+01, 4.830300e+01, 2.917802e+06, 3.221238e+06, 3.628608e+06, 4.147252e+06, 4.730997e+06, 5.637246e+06, 6.502825e+06, 7.824747e+06, 1.001425e+07, 1.041999e+07, 1.182450e+07, 1.332708e+07, 3.691651e+02, 4.163698e+02, 4.279011e+02, 4.955148e+02, 5.846220e+02, 6.632237e+02, 6.328039e+02, 6.355174e+02, 5.632000e+02, 6.922758e+02, 6.654231e+02, 7.593499e+02	-420.2985, 0.2342259, -0.6543718, -0.8745012, -0.8426305, -0.9367599, 0.1711107, 1.000981, 1.704852, 2.348723, 3.140593, 0.04446387, -3.612666, -1.489795, -150.1743, 14.00467, -0.5876219, -0.729558, 0.3305058, 1.11257, 1.768634, 2.364697, 3.108761, -0.03517484, -3.740111, -1.665047, 2, 36.91037, 38.0815, 39.25263, 40.42376, 41.59489, 42.76602, 43.93715, 45.10828, 46.27941, 47.45054, 48.62167, 49.79279, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 36.256, 37.207, 38.41, 39.487, 41.766, 43.767, 45.642, 47.457, 49.42, 47.495, 45.009, 48.303, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Mali	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.368500e+01, 3.530700e+01, 3.693600e+01, 3.848700e+01, 3.997700e+01, 4.171400e+01, 4.391600e+01, 4.636400e+01, 4.838800e+01, 4.990300e+01, 5.181800e+01, 5.446700e+01, 3.838168e+06, 4.241884e+06, 4.690372e+06, 5.212416e+06, 5.828158e+06, 6.491649e+06, 6.998256e+06, 7.634008e+06, 8.416215e+06, 9.384984e+06, 1.058018e+07, 1.203180e+07, 4.523370e+02, 4.903822e+02, 4.961743e+02, 5.450099e+02, 5.813689e+02, 6.863953e+02, 6.180141e+02, 6.841716e+02, 7.390144e+02, 7.902580e+02, 9.514098e+02, 1.042582e+03	-702.4815, 0.3768098, 0.6337692, 0.3717203, 0.1166713, -0.2163776, -0.6104266, -0.7574755, -0.4395245, 0.1244266, 0.2643776, -0.1046713, -0.07372028, 0.6912308, -150.3888, 22.52995, -0.05952019, -0.37748, -0.7564399, -0.8883997, -0.5553595, 0.02368066, 0.1787208, -0.175239, -0.1291988, 0.6508413, 2, 33.05123, 34.93528, 36.81933, 38.70338, 40.58743, 42.47148, 44.35552, 46.23957, 48.12362, 50.00767, 51.89172, 53.77577, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 33.685, 35.307, 36.936, 38.487, 39.977, 41.714, 43.916, 46.364, 48.388, 49.903, 51.818, 54.467, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
⋮	⋮	⋮	⋮
Belgium	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 68.000, 69.240, 70.250, 70.940, 71.440, 72.800, 73.930, 75.350, 76.460, 77.530, 78.320, 79.441, 8730405.000, 8989111.000, 9218400.000, 9556500.000, 9709100.000, 9821800.000, 9856303.000, 9870200.000, 10045622.000, 10199787.000, 10311970.000, 10392226.000, 8343.105, 9714.961, 10991.207, 13149.041, 16672.144, 19117.974, 20979.846, 22525.563, 25575.571, 27561.197, 30485.884, 33692.605	-340.2412, 0.2090846, 0.1080769, 0.3026538, 0.2672308, -0.08819231, -0.6336154, -0.3190385, -0.2344615, 0.1401154, 0.2046923, 0.2292692, -0.02615385, 0.04942308, -255.1025, 12.50144, 0.2015463, -0.1355897, -0.6627256, -0.3298616, -0.2269975, 0.1658665, 0.2487306, 0.2915946, 0.05445866, 0.1483227, 2, 67.89192, 68.93735, 69.98277, 71.02819, 72.07362, 73.11904, 74.16446, 75.20988, 76.25531, 77.30073, 78.34615, 79.39158, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 68, 69.24, 70.25, 70.94, 71.44, 72.8, 73.93, 75.35, 76.46, 77.53, 78.32, 79.441, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Bosnia and Herzegovina	Europe	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 53.8200, 58.4500, 61.9300, 64.7900, 67.4500, 69.8600, 70.6900, 71.1400, 72.1780, 73.2440, 74.0900, 74.8520, 2791000.0000, 3076000.0000, 3349000.0000, 3585000.0000, 3819000.0000, 4086000.0000, 4172693.0000, 4338977.0000, 4256013.0000, 3607000.0000, 4165416.0000, 4552198.0000, 973.5332, 1353.9892, 1709.6837, 2172.3524, 2860.1698, 3528.4813, 4126.6132, 4314.1148, 2546.7814, 4766.3559, 6018.9752, 7446.2988	-624.6327, 0.3497552, -4.269564, -1.38834, 0.3428834, 1.454107, 2.365331, 3.026555, 2.107779, 0.8090023, 0.09822611, -0.5845501, -1.487326, -2.474103, -234.5468, 20.91232, 1.36364, 2.446497, 3.329354, 3.962211, 3.015068, 1.687925, 0.9487816, 0.2376386, -0.6935044, -1.708647, 2, 58.08956, 59.83834, 61.58712, 63.33589, 65.08467, 66.83345, 68.58222, 70.331, 72.07977, 73.82855, 75.57733, 77.3261, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 53.82, 58.45, 61.93, 64.79, 67.45, 69.86, 70.69, 71.14, 72.178, 73.244, 74.09, 74.852, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Bulgaria	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 59.600, 66.610, 69.510, 70.420, 70.900, 70.810, 71.080, 71.340, 71.190, 70.320, 72.140, 73.005, 7274900.000, 7651254.000, 8012946.000, 8310226.000, 8576200.000, 8797022.000, 8892098.000, 8971958.000, 8658506.000, 8066057.000, 7661799.000, 7322858.000, 2444.287, 3008.671, 4254.338, 5577.003, 6597.494, 7612.240, 8224.192, 8239.855, 6302.623, 5970.389, 7696.778, 10680.793	-218.6473, 0.1456888, -6.137308, 0.1442483, 2.315804, 2.49736, 2.248916, 1.430472, 0.972028, 0.5035839, -0.3748601, -1.973304, -0.8817483, -0.7451923, -241.5994, 8.710924, 3.464353, 3.745675, 3.596997, 2.87832, 2.519642, 2.150964, 1.372286, -0.1263916, 1.064931, 1.301253, 2, 65.73731, 66.46575, 67.1942, 67.92264, 68.65108, 69.37953, 70.10797, 70.83642, 71.56486, 72.2933, 73.02175, 73.75019, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 59.6, 66.61, 69.51, 70.42, 70.9, 70.81, 71.08, 71.34, 71.19, 70.32, 72.14, 73.005, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Croatia	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 61.210, 64.770, 67.130, 68.500, 69.610, 70.640, 70.460, 71.520, 72.527, 73.680, 74.876, 75.748, 3882229.000, 3991242.000, 4076557.000, 4174366.000, 4225310.000, 4318673.000, 4413368.000, 4484310.000, 4494013.000, 4444595.000, 4481020.000, 4493312.000, 3119.237, 4338.232, 5477.890, 6960.298, 9164.090, 11305.385, 13221.822, 13822.584, 8447.795, 9875.605, 11628.389, 14619.223	-376.241, 0.2254594, -2.645782, -0.2130793, 1.019624, 1.262326, 1.245029, 1.147732, -0.1595653, -0.2268625, -0.3471597, -0.3214569, -0.2527541, -0.5080513, -242.6808, 13.48051, 1.555762, 1.823395, 1.831029, 1.758662, 0.4762956, 0.4339291, 0.3385627, 0.3891962, 0.4828297, 0.2524632, 2, 63.85578, 64.98308, 66.11038, 67.23767, 68.36497, 69.49227, 70.61957, 71.74686, 72.87416, 74.00146, 75.12875, 76.25605, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 61.21, 64.77, 67.13, 68.5, 69.61, 70.64, 70.46, 71.52, 72.527, 73.68, 74.876, 75.748, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Czech Republic	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 66.870, 69.030, 69.900, 70.380, 70.290, 70.710, 70.960, 71.580, 72.400, 74.010, 75.510, 76.486, 9125183.000, 9513758.000, 9620282.000, 9835109.000, 9862158.000, 10161915.000, 10303704.000, 10311597.000, 10315702.000, 10300707.000, 10256295.000, 10228744.000, 6876.140, 8256.344, 10136.867, 11399.445, 13108.454, 14800.161, 15377.229, 16310.443, 14297.021, 16048.514, 17596.210, 22833.309	-215.1516, 0.1448154, -0.6580769, 0.7778462, 0.9237692, 0.6796923, -0.1343846, -0.4384615, -0.9125385, -1.016615, -0.9206923, -0.03476923, 0.7411538, 0.9930769, -247.7196, 8.658701, 0.9333665, 0.7500573, -0.003251956, -0.2465612, -0.6598704, -0.7031797, -0.5464889, 0.4002018, 1.236893, 1.549583, 2, 67.52808, 68.25215, 68.97623, 69.70031, 70.42438, 71.14846, 71.87254, 72.59662, 73.32069, 74.04477, 74.76885, 75.49292, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 66.87, 69.03, 69.9, 70.38, 70.29, 70.71, 70.96, 71.58, 72.4, 74.01, 75.51, 76.486, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Denmark	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 70.780, 71.810, 72.350, 72.960, 73.470, 74.690, 74.630, 74.800, 75.330, 76.110, 77.180, 78.332, 4334000.000, 4487831.000, 4646899.000, 4838800.000, 4991596.000, 5088419.000, 5117810.000, 5127024.000, 5171393.000, 5283663.000, 5374693.000, 5468120.000, 9692.385, 11099.659, 13583.314, 15937.211, 18866.207, 20422.901, 21688.040, 25116.176, 26406.740, 29804.346, 32166.500, 35278.419	-165.8027, 0.1213301, -0.2535897, 0.1697599, 0.1031096, 0.1064592, 0.009808858, 0.6231585, -0.04349184, -0.4801422, -0.5567925, -0.3834429, 0.07990676, 0.6252564, -257.6258, 7.254483, 0.1261689, 0.1443985, 0.06262821, 0.6908579, 0.03908756, -0.3826828, -0.4444531, -0.2562234, 0.2220063, 0.7822359, 2, 71.03359, 71.64024, 72.24689, 72.85354, 73.46019, 74.06684, 74.67349, 75.28014, 75.88679, 76.49344, 77.10009, 77.70674, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 70.78, 71.81, 72.35, 72.96, 73.47, 74.69, 74.63, 74.8, 75.33, 76.11, 77.18, 78.332, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Finland	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 66.550, 67.490, 68.750, 69.830, 70.870, 72.520, 74.550, 74.830, 75.700, 77.130, 78.370, 79.313, 4090500.000, 4324000.000, 4491443.000, 4605744.000, 4639657.000, 4738902.000, 4826933.000, 4931729.000, 5041039.000, 5134406.000, 5193039.000, 5238460.000, 6424.519, 7545.415, 9371.843, 10921.636, 14358.876, 15605.423, 18533.158, 21141.012, 20647.165, 23723.950, 28204.591, 33207.084	-397.981, 0.2379252, 0.1010256, -0.1486002, -0.07822611, -0.187852, -0.3374779, 0.1228963, 0.9632704, 0.05364452, -0.2659814, -0.02560723, 0.0247669, -0.221859, -252.8514, 14.22586, -0.07535188, -0.1962236, -0.3570952, 0.0920331, 0.9211614, 0.0002897486, -0.3305819, -0.1014536, -0.06232527, -0.3201969, 2, 66.44897, 67.6386, 68.82823, 70.01785, 71.20748, 72.3971, 73.58673, 74.77636, 75.96598, 77.15561, 78.34523, 79.53486, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 66.55, 67.49, 68.75, 69.83, 70.87, 72.52, 74.55, 74.83, 75.7, 77.13, 78.37, 79.313, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
France	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 67.410, 68.930, 70.510, 71.550, 72.380, 73.830, 74.890, 76.340, 77.460, 78.640, 79.590, 80.657, 42459667.000, 44310863.000, 47124000.000, 49569000.000, 51732000.000, 53165019.000, 54433565.000, 55630100.000, 57374179.000, 58623428.000, 59925035.000, 61083916.000, 7029.809, 8662.835, 10560.486, 12999.918, 16107.192, 18292.635, 20293.897, 22066.442, 24703.796, 25889.785, 28926.032, 30470.017	-397.7646, 0.2385014, -0.3801282, -0.0526352, 0.3348578, 0.1823508, -0.1801562, 0.07733683, -0.05517016, 0.2023228, 0.1298159, 0.1173089, -0.1251981, -0.2507051, -257.5522, 14.26031, 0.4151666, 0.2647952, -0.09557618, 0.1640524, 0.03368103, 0.2933096, 0.2229382, 0.2125668, -0.02780456, -0.151176, 2, 67.79013, 68.98264, 70.17514, 71.36765, 72.56016, 73.75266, 74.94517, 76.13768, 77.33018, 78.52269, 79.7152, 80.90771, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 67.41, 68.93, 70.51, 71.55, 72.38, 73.83, 74.89, 76.34, 77.46, 78.64, 79.59, 80.657, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Germany	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 67.500, 69.100, 70.300, 70.800, 71.000, 72.500, 73.800, 74.847, 76.070, 77.340, 78.670, 79.406, 69145952.000, 71019069.000, 73739117.000, 76368453.000, 78717088.000, 78160773.000, 78335266.000, 77718298.000, 80597764.000, 82011073.000, 82350671.000, 82400996.000, 7144.114, 10187.827, 12902.463, 14745.626, 18016.180, 20512.921, 22031.533, 24639.186, 26505.303, 27788.884, 30035.802, 32170.374	-349.5415, 0.2136832, -0.06812821, 0.4634557, 0.5950396, 0.02662354, -0.8417925, -0.4102086, -0.1786247, -0.2000408, -0.04545688, 0.156127, 0.417711, 0.08529487, -254.4189, 12.7764, 0.5389959, 0.00202015, -0.8349556, -0.3719314, -0.1089071, -0.09888287, 0.08714138, 0.3201656, 0.6131899, 0.3122141, 2, 67.56813, 68.63654, 69.70496, 70.77338, 71.84179, 72.91021, 73.97862, 75.04704, 76.11546, 77.18387, 78.25229, 79.32071, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 67.5, 69.1, 70.3, 70.8, 71, 72.5, 73.8, 74.847, 76.07, 77.34, 78.67, 79.406, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Greece	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 65.860, 67.860, 69.510, 71.000, 72.340, 73.680, 75.240, 76.670, 77.030, 77.869, 78.256, 79.483, 7733250.000, 8096218.000, 8448233.000, 8716441.000, 8888628.000, 9308479.000, 9786480.000, 9974490.000, 10325429.000, 10502372.000, 10603863.000, 10706290.000, 3530.690, 4916.300, 6017.191, 8513.097, 12724.830, 14195.524, 15268.421, 16120.528, 17541.496, 18747.698, 22514.255, 27538.412	-406.0949, 0.2423986, -1.207205, -0.4191981, 0.01880886, 0.2968159, 0.4248228, 0.5528298, 0.9008368, 1.118844, 0.2668508, -0.1061422, -0.9311352, -0.9161282, -255.4192, 14.49333, 0.3113938, 0.5796299, 0.697866, 0.8161022, 1.154338, 1.362574, 0.5008106, 0.1180467, -0.7167171, -0.711481, 2, 67.06721, 68.2792, 69.49119, 70.70318, 71.91518, 73.12717, 74.33916, 75.55116, 76.76315, 77.97514, 79.18714, 80.39913, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 65.86, 67.86, 69.51, 71, 72.34, 73.68, 75.24, 76.67, 77.03, 77.869, 78.256, 79.483, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Hungary	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 64.030, 66.410, 67.960, 69.500, 69.760, 69.950, 69.390, 69.580, 69.170, 71.040, 72.590, 73.338, 9504000.000, 9839000.000, 10063000.000, 10223422.000, 10394091.000, 10637171.000, 10705535.000, 10612740.000, 10348684.000, 10244684.000, 10083313.000, 9956108.000, 5263.674, 6040.180, 7550.360, 9326.645, 10168.656, 11674.837, 12545.991, 12986.480, 10535.629, 11712.777, 14843.936, 18008.944	-175.3699, 0.123649, -1.962821, -0.2010653, 0.73069, 1.652445, 1.2942, 0.8659557, -0.312289, -0.7405338, -1.768779, -0.5170233, 0.4147319, 0.5444872, -240.385, 7.393132, 1.134837, 2.072264, 1.729691, 1.317118, 0.1545455, -0.2580273, -1.2706, -0.003172839, 0.9442544, 1.089682, 2, 65.99282, 66.61107, 67.22931, 67.84755, 68.4658, 69.08404, 69.70229, 70.32053, 70.93878, 71.55702, 72.17527, 72.79351, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 64.03, 66.41, 67.96, 69.5, 69.76, 69.95, 69.39, 69.58, 69.17, 71.04, 72.59, 73.338, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Iceland	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 72.490, 73.470, 73.680, 73.730, 74.460, 76.110, 76.990, 77.230, 78.770, 78.950, 80.500, 81.757, 147962.000, 165110.000, 182053.000, 198676.000, 209275.000, 221823.000, 233997.000, 244676.000, 259012.000, 271192.000, 288030.000, 301931.000, 7267.688, 9244.001, 10350.159, 13319.896, 15798.064, 19654.962, 23269.607, 26923.206, 25144.392, 28061.100, 31163.202, 36180.789	-250.8494, 0.1653755, 0.5264103, 0.6795326, 0.06265501, -0.7142226, -0.8111002, 0.01202214, 0.06514452, -0.5217331, 0.1913893, -0.4554883, 0.267634, 0.6977564, -265.0433, 9.888018, -0.138918, -0.8789111, -0.9389042, -0.07889725, 0.01110967, -0.5388834, 0.2111235, -0.3988695, 0.3611374, 0.8281443, 2, 71.96359, 72.79047, 73.61734, 74.44422, 75.2711, 76.09798, 76.92486, 77.75173, 78.57861, 79.40549, 80.23237, 81.05924, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 72.49, 73.47, 73.68, 73.73, 74.46, 76.11, 76.99, 77.23, 78.77, 78.95, 80.5, 81.757, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Ireland	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 66.910, 68.900, 70.290, 71.080, 71.280, 72.030, 73.100, 74.360, 75.467, 76.122, 77.783, 78.885, 2952156.000, 2878220.000, 2830000.000, 2900100.000, 3024400.000, 3271900.000, 3480000.000, 3539900.000, 3557761.000, 3667233.000, 3879155.000, 4109086.000, 5210.280, 5599.078, 6631.597, 7655.569, 9530.773, 11150.981, 12618.321, 13872.867, 17558.816, 24521.947, 34077.049, 40675.996	-321.14, 0.1991196, -0.6314615, 0.3629406, 0.7573427, 0.5517448, -0.2438531, -0.489451, -0.415049, -0.1506469, -0.03924476, -0.3798427, 0.2855594, 0.3919615, -252.9392, 11.90562, 0.8236662, 0.651195, -0.1112762, -0.3237474, -0.2162186, 0.08131014, 0.2258389, -0.08163231, 0.6168965, 0.7564252, 2, 67.54146, 68.53706, 69.53266, 70.52826, 71.52385, 72.51945, 73.51505, 74.51065, 75.50624, 76.50184, 77.49744, 78.49304, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 66.91, 68.9, 70.29, 71.08, 71.28, 72.03, 73.1, 74.36, 75.467, 76.122, 77.783, 78.885, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Italy	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 65.940, 67.810, 69.240, 71.060, 72.190, 73.480, 74.980, 76.420, 77.440, 78.820, 80.240, 80.546, 47666000.000, 49182000.000, 50843200.000, 52667100.000, 54365564.000, 56059245.000, 56535636.000, 56729703.000, 56840847.000, 57479469.000, 57926999.000, 58147733.000, 4931.404, 6248.656, 8243.582, 10022.401, 12269.274, 14255.985, 16537.483, 19207.235, 22013.645, 24675.024, 27968.098, 28569.720	-459.8781, 0.2697105, -0.6567949, -0.1353473, -0.05389977, 0.4175478, 0.1989953, 0.1404429, 0.2918904, 0.383338, 0.05478555, 0.0862331, 0.1576807, -0.8848718, -256.3914, 16.12634, 0.0914736, 0.5636949, 0.3459161, 0.2881374, 0.4403587, 0.53258, 0.2048012, 0.2370225, 0.3092438, -0.732535, 2, 66.59679, 67.94535, 69.2939, 70.64245, 71.991, 73.33956, 74.68811, 76.03666, 77.38521, 78.73377, 80.08232, 81.43087, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 65.94, 67.81, 69.24, 71.06, 72.19, 73.48, 74.98, 76.42, 77.44, 78.82, 80.24, 80.546, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Montenegro	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 59.164, 61.448, 63.728, 67.178, 70.636, 73.066, 74.101, 74.865, 75.435, 75.445, 73.981, 74.543, 413834.000, 442829.000, 474528.000, 501035.000, 527678.000, 560073.000, 562548.000, 569473.000, 621621.000, 692651.000, 720230.000, 684736.000, 2647.586, 3682.260, 4649.594, 5907.851, 7778.414, 9595.930, 11222.588, 11732.510, 7003.339, 6465.613, 6557.194, 9253.896	-509.6971, 0.2930014, -3.077628, -2.258635, -1.443642, 0.5413508, 2.534344, 3.499337, 3.06933, 2.368323, 1.473316, 0.01830886, -2.910698, -3.813705, -243.5235, 17.51894, -0.5204895, 1.361443, 3.251376, 4.113309, 3.580241, 2.776174, 1.778107, 0.2200393, -2.812028, -3.818095, 2, 62.24163, 63.70664, 65.17164, 66.63665, 68.10166, 69.56666, 71.03167, 72.49668, 73.96168, 75.42669, 76.8917, 78.35671, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 59.164, 61.448, 63.728, 67.178, 70.636, 73.066, 74.101, 74.865, 75.435, 75.445, 73.981, 74.543, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Netherlands	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 72.130, 72.990, 73.230, 73.820, 73.750, 75.240, 76.050, 76.830, 77.420, 78.030, 78.530, 79.762, 10381988.000, 11026383.000, 11805689.000, 12596822.000, 13329874.000, 13852989.000, 14310401.000, 14665278.000, 15174244.000, 15604464.000, 16122830.000, 16570613.000, 8941.572, 11276.193, 12790.850, 15363.251, 18794.746, 21209.059, 21399.460, 23651.324, 26790.950, 30246.131, 33724.758, 36797.933	-194.9228, 0.1366867, 0.2403846, 0.416951, -0.02648252, -0.1199161, -0.8733497, -0.06678322, 0.05978322, 0.1563497, 0.06291608, -0.01051748, -0.193951, 0.3546154, -262.0541, 8.172677, -0.1344152, -0.2040015, -0.9335879, -0.1031742, 0.04723943, 0.1676531, 0.09806672, 0.04848037, -0.111106, 0.4613077, 2, 71.88962, 72.57305, 73.25648, 73.93992, 74.62335, 75.30678, 75.99022, 76.67365, 77.35708, 78.04052, 78.72395, 79.40738, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 72.13, 72.99, 73.23, 73.82, 73.75, 75.24, 76.05, 76.83, 77.42, 78.03, 78.53, 79.762, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Norway	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 72.670, 73.440, 73.470, 74.080, 74.340, 75.370, 75.970, 75.890, 77.320, 78.320, 79.050, 80.196, 3327728.000, 3491938.000, 3638919.000, 3786019.000, 3933004.000, 4043205.000, 4114787.000, 4186147.000, 4286357.000, 4405672.000, 4535591.000, 4627926.000, 10095.422, 11653.973, 13450.402, 16361.876, 18965.056, 23311.349, 26298.635, 31540.975, 33965.661, 41283.164, 44683.975, 49357.190	-185.3347, 0.1319413, 0.4553846, 0.5656783, -0.06402797, -0.1137343, -0.5134406, -0.1431469, -0.2028531, -0.9425594, -0.1722657, 0.168028, 0.2383217, 0.7246154, -262.7279, 7.88894, -0.2351018, -0.2543562, -0.6236105, -0.2228648, -0.2521192, -0.9613735, -0.1606278, 0.2101178, 0.3108635, 0.8276092, 2, 72.21462, 72.87432, 73.53403, 74.19373, 74.85344, 75.51315, 76.17285, 76.83256, 77.49227, 78.15197, 78.81168, 79.47138, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 72.67, 73.44, 73.47, 74.08, 74.34, 75.37, 75.97, 75.89, 77.32, 78.32, 79.05, 80.196, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Poland	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 61.310, 65.770, 67.640, 69.610, 70.850, 70.670, 71.320, 70.980, 70.990, 72.750, 74.670, 75.563, 25730551.000, 28235346.000, 30329617.000, 31785378.000, 33039545.000, 34621254.000, 36227381.000, 37740710.000, 38370697.000, 38654957.000, 38625976.000, 38518241.000, 4029.330, 4734.253, 5338.752, 6557.153, 8006.507, 9508.141, 8451.531, 9082.351, 7738.881, 10159.584, 12002.239, 15389.925	-318.2384, 0.1962189, -3.470897, 0.008008159, 0.8969138, 1.885819, 2.144725, 0.9836305, 0.6525361, -0.6685583, -1.639653, -0.8607471, 0.07815851, -0.009935897, -243.1, 11.73218, 1.557423, 2.597919, 2.908415, 1.79891, 1.519406, 0.2499015, -0.6696028, 0.1608928, 1.151389, 1.114884, 2, 64.7809, 65.76199, 66.74309, 67.72418, 68.70528, 69.68637, 70.66746, 71.64856, 72.62965, 73.61075, 74.59184, 75.57294, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 61.31, 65.77, 67.64, 69.61, 70.85, 70.67, 71.32, 70.98, 70.99, 72.75, 74.67, 75.563, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Portugal	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 59.820, 61.510, 64.390, 66.600, 69.260, 70.410, 72.770, 74.060, 74.860, 75.970, 77.290, 78.098, 8526050.000, 8817650.000, 9019800.000, 9103000.000, 8970450.000, 9662600.000, 9859650.000, 9915289.000, 9927680.000, 10156415.000, 10433867.000, 10642836.000, 3068.320, 3774.572, 4727.955, 6361.518, 9022.247, 10172.486, 11753.843, 13039.309, 16207.267, 17641.032, 19970.908, 20509.648	-597.0703, 0.3372014, -1.326795, -1.322802, -0.1288089, 0.3951841, 1.369177, 0.8331702, 1.507163, 1.111156, 0.2251492, -0.3508578, -0.7168648, -1.594872, -243.9415, 20.16171, 0.3211671, 0.7778034, 1.68444, 1.081076, 1.687712, 1.224349, 0.2709848, -0.3723789, -0.8057426, -1.751106, 2, 61.14679, 62.8328, 64.51881, 66.20482, 67.89082, 69.57683, 71.26284, 72.94884, 74.63485, 76.32086, 78.00686, 79.69287, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 59.82, 61.51, 64.39, 66.6, 69.26, 70.41, 72.77, 74.06, 74.86, 75.97, 77.29, 78.098, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Romania	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 61.050, 64.100, 66.800, 66.800, 69.210, 69.460, 69.660, 69.530, 69.360, 69.720, 71.322, 72.476, 16630000.000, 17829327.000, 18680721.000, 19284814.000, 20662648.000, 21658597.000, 22356726.000, 22686371.000, 22797027.000, 22562458.000, 22404337.000, 22276056.000, 3144.613, 3943.370, 4734.998, 6470.867, 8011.414, 9356.397, 9605.314, 9696.273, 6598.410, 7346.548, 7885.360, 10808.476	-243.2854, 0.1574014, -2.912128, -0.6491352, 1.263858, 0.4768508, 2.099844, 1.562837, 0.9758298, 0.05882284, -0.8981841, -1.325191, -0.5101981, -0.1432051, -236.5658, 9.411235, 1.915724, 1.128927, 2.752131, 2.215335, 1.628538, 0.7117422, -0.2450541, -0.6718504, 0.1433533, 0.510557, 2, 63.96213, 64.74914, 65.53614, 66.32315, 67.11016, 67.89716, 68.68417, 69.47118, 70.25818, 71.04519, 71.8322, 72.61921, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 61.05, 64.1, 66.8, 66.8, 69.21, 69.46, 69.66, 69.53, 69.36, 69.72, 71.322, 72.476, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Serbia	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 57.996, 61.685, 64.531, 66.914, 68.700, 70.300, 70.162, 71.218, 71.659, 72.232, 73.213, 74.002, 6860147.000, 7271135.000, 7616060.000, 7971222.000, 8313288.000, 8686367.000, 9032824.000, 9230783.000, 9826397.000, 10336594.000, 10111559.000, 10150265.000, 3581.459, 4981.091, 6289.629, 7991.707, 10522.067, 12980.670, 15181.093, 15870.879, 9325.068, 7914.320, 7236.075, 9786.535	-436.5205, 0.255151, -3.538346, -1.125101, 0.4451434, 1.552388, 2.062633, 2.386878, 0.9731224, 0.7533671, -0.08138811, -0.7841434, -1.078899, -1.565654, -237.4676, 15.25581, 1.287288, 2.372697, 2.861106, 3.163515, 1.727924, 1.486332, 0.6297411, -0.09485009, -0.4114413, -0.9200325, 2, 61.53435, 62.8101, 64.08586, 65.36161, 66.63737, 67.91312, 69.18888, 70.46463, 71.74039, 73.01614, 74.2919, 75.56765, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 57.996, 61.685, 64.531, 66.914, 68.7, 70.3, 70.162, 71.218, 71.659, 72.232, 73.213, 74.002, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Slovak Republic	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 64.360, 67.450, 70.330, 70.980, 70.350, 70.450, 70.800, 71.080, 71.380, 72.710, 73.800, 74.663, 3558137.000, 3844277.000, 4237384.000, 4442238.000, 4593433.000, 4827803.000, 5048043.000, 5199318.000, 5302888.000, 5383010.000, 5410052.000, 5447502.000, 5074.659, 6093.263, 7481.108, 8412.902, 9674.168, 10922.664, 11348.546, 12037.268, 9498.468, 12126.231, 13638.778, 18678.314	-194.6441, 0.1340441, -2.649872, -0.2300921, 1.979688, 1.959467, 0.6592471, 0.08902681, -0.2311935, -0.6214138, -0.991634, -0.3318543, 0.08792541, 0.2807051, -244.8984, 8.014669, 2.519139, 2.522793, 1.246446, 0.7000992, 0.4037525, 0.03740576, -0.308941, 0.3747123, 0.8183656, 1.035019, 2, 67.00987, 67.68009, 68.35031, 69.02053, 69.69075, 70.36097, 71.03119, 71.70141, 72.37163, 73.04185, 73.71207, 74.38229, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 64.36, 67.45, 70.33, 70.98, 70.35, 70.45, 70.8, 71.08, 71.38, 72.71, 73.8, 74.663, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Slovenia	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 65.570, 67.850, 69.150, 69.180, 69.820, 70.970, 71.063, 72.250, 73.640, 75.130, 76.660, 77.926, 1489518.000, 1533070.000, 1582962.000, 1646912.000, 1694510.000, 1746919.000, 1861252.000, 1945870.000, 1999210.000, 2011612.000, 2011497.000, 2009245.000, 4215.042, 5862.277, 7402.303, 9405.489, 12383.486, 15277.030, 17866.722, 18678.535, 14214.717, 17161.107, 20660.019, 25768.258	-325.3361, 0.2005238, -0.5163462, 0.761035, 1.058416, 0.0857972, -0.2768217, -0.1294406, -1.039059, -0.8546783, -0.4672972, 0.02008392, 0.547465, 0.8108462, -248.0323, 11.98958, 1.043497, 0.128457, -0.1765835, 0.02837609, -0.8236644, -0.5817048, -0.1367453, 0.4082143, 0.9931738, 1.314133, 2, 66.08635, 67.08897, 68.09158, 69.0942, 70.09682, 71.09944, 72.10206, 73.10468, 74.1073, 75.10992, 76.11253, 77.11515, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 65.57, 67.85, 69.15, 69.18, 69.82, 70.97, 71.063, 72.25, 73.64, 75.13, 76.66, 77.926, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Spain	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 64.940, 66.660, 69.690, 71.440, 73.060, 74.390, 76.300, 76.900, 77.570, 78.770, 79.780, 80.941, 28549870.000, 29841614.000, 31158061.000, 32850275.000, 34513161.000, 36439000.000, 37983310.000, 38880702.000, 39549438.000, 39855442.000, 40152517.000, 40448191.000, 3834.035, 4564.802, 5693.844, 7993.512, 10638.751, 13236.921, 13926.170, 15764.983, 18603.065, 20445.299, 24835.472, 28821.064	-481.899, 0.2809308, -1.537821, -1.222474, 0.4028718, 0.7482179, 0.9635641, 0.8889103, 1.394256, 0.5896026, -0.1450513, -0.3497051, -0.744359, -0.9880128, -257.0482, 16.79722, 0.8781345, 1.165818, 1.323501, 1.191184, 1.638867, 0.7765504, -0.01576638, -0.2780832, -0.7304, -1.031717, 2, 66.47782, 67.88247, 69.28713, 70.69178, 72.09644, 73.50109, 74.90574, 76.3104, 77.71505, 79.11971, 80.52436, 81.92901, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 64.94, 66.66, 69.69, 71.44, 73.06, 74.39, 76.3, 76.9, 77.57, 78.77, 79.78, 80.941, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Sweden	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 71.860, 72.490, 73.370, 74.160, 74.720, 75.440, 76.420, 77.190, 78.160, 79.390, 80.040, 80.884, 7124673.000, 7363802.000, 7561588.000, 7867931.000, 8122293.000, 8251648.000, 8325260.000, 8421403.000, 8718867.000, 8897619.000, 8954175.000, 9031088.000, 8527.845, 9911.878, 12329.442, 15258.297, 17832.025, 18855.725, 20667.381, 23586.929, 23880.017, 25266.595, 29341.631, 33859.748	-252.9239, 0.1662545, 0.255, 0.05372727, 0.1024545, 0.06118182, -0.2100909, -0.3213636, -0.1726364, -0.2339091, -0.09518182, 0.3035455, 0.1222727, 0.135, -263.8849, 9.940576, 0.04583789, 0.004342185, -0.2671535, -0.3786492, -0.2301449, -0.2916406, -0.1531363, 0.245368, 0.06387226, 0.07637656, 2, 71.605, 72.43627, 73.26755, 74.09882, 74.93009, 75.76136, 76.59264, 77.42391, 78.25518, 79.08645, 79.91773, 80.749, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 71.86, 72.49, 73.37, 74.16, 74.72, 75.44, 76.42, 77.19, 78.16, 79.39, 80.04, 80.884, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Switzerland	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 69.620, 70.560, 71.320, 72.770, 73.780, 75.390, 76.210, 77.410, 78.030, 79.370, 80.620, 81.701, 4815000.000, 5126000.000, 5666000.000, 6063000.000, 6401400.000, 6316424.000, 6468126.000, 6649942.000, 6995447.000, 7193761.000, 7361757.000, 7554661.000, 14734.233, 17909.490, 20431.093, 22966.144, 27195.113, 26982.291, 28397.715, 30281.705, 31871.530, 32135.323, 34480.958, 37506.419	-364.3421, 0.2222315, 0.1662821, -0.004875291, -0.3560326, -0.01718998, -0.1183473, 0.3804953, 0.089338, 0.1781807, -0.3129767, -0.08413403, 0.05470862, 0.02455128, -261.7651, 13.28751, -0.387007, -0.05093085, -0.1548547, 0.3412214, 0.04729748, 0.1333736, -0.3605503, -0.1344742, 0.001601928, -0.03132196, 2, 69.45372, 70.56488, 71.67603, 72.78719, 73.89835, 75.0095, 76.12066, 77.23182, 78.34298, 79.45413, 80.56529, 81.67645, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 69.62, 70.56, 71.32, 72.77, 73.78, 75.39, 76.21, 77.41, 78.03, 79.37, 80.62, 81.701, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Turkey	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.585, 48.079, 52.098, 54.336, 57.005, 59.507, 61.036, 63.108, 66.146, 68.835, 70.845, 71.777, 22235677.000, 25670939.000, 29788695.000, 33411317.000, 37492953.000, 42404033.000, 47328791.000, 52881328.000, 58179144.000, 63047647.000, 67308928.000, 71158647.000, 1969.101, 2218.754, 2322.870, 2826.356, 3450.696, 4269.122, 4241.356, 5089.044, 5678.348, 6601.430, 6508.086, 8458.276	-924.5899, 0.4972399, -2.437321, -0.4295198, 1.103281, 0.8550816, 1.037882, 1.053683, 0.09648368, -0.3177156, 0.2340851, 0.4368858, -0.03931352, -1.593513, -206.7945, 29.73062, 1.631916, 1.391366, 1.581815, 1.605265, 0.6557141, 0.2491636, 0.8086132, 1.019063, 0.5505122, -0.9960383, 2, 46.02232, 48.50852, 50.99472, 53.48092, 55.96712, 58.45332, 60.93952, 63.42572, 65.91191, 68.39811, 70.88431, 73.37051, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 43.585, 48.079, 52.098, 54.336, 57.005, 59.507, 61.036, 63.108, 66.146, 68.835, 70.845, 71.777, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
United Kingdom	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 69.180, 70.420, 70.760, 71.360, 72.010, 72.760, 74.040, 75.007, 76.420, 77.218, 78.471, 79.425, 50430000.000, 51430000.000, 53292000.000, 54959000.000, 56079000.000, 56179000.000, 56339704.000, 56981620.000, 57866349.000, 58808266.000, 59912431.000, 60776238.000, 9979.508, 11283.178, 12477.177, 14142.851, 15895.116, 17428.748, 18232.425, 21664.788, 22705.093, 26074.531, 29478.999, 33203.261	-294.1966, 0.1859657, 0.3714744, 0.6816457, 0.09181702, -0.2380117, -0.5178403, -0.697669, -0.3474977, -0.3103263, 0.172845, 0.04101632, 0.3641876, 0.388359, -256.0753, 11.11913, -0.08053332, -0.3710592, -0.6115852, -0.7521111, -0.362637, -0.2861629, 0.2363112, 0.1437853, 0.5062593, 0.5697334, 2, 68.80853, 69.73835, 70.66818, 71.59801, 72.52784, 73.45767, 74.3875, 75.31733, 76.24716, 77.17698, 78.10681, 79.03664, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 69.18, 70.42, 70.76, 71.36, 72.01, 72.76, 74.04, 75.007, 76.42, 77.218, 78.471, 79.425, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
Australia	Oceania	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 69.120, 70.330, 70.930, 71.100, 71.930, 73.490, 74.740, 76.320, 77.560, 78.830, 80.370, 81.235, 8691212.000, 9712569.000, 10794968.000, 11872264.000, 13177000.000, 14074100.000, 15184200.000, 16257249.000, 17481977.000, 18565243.000, 19546792.000, 20434176.000, 10039.596, 10949.650, 12217.227, 14526.125, 16788.629, 18334.198, 19477.009, 21888.889, 23424.767, 26997.937, 30687.755, 34435.367	-376.1163, 0.2277238, 0.7194872, 0.7908683, 0.2522494, -0.7163695, -1.024988, -0.6036072, -0.4922261, -0.05084499, 0.05053613, 0.1819172, 0.5832984, 0.3096795, -258.6399, 13.6159, -0.002715871, -0.9299787, -1.197241, -0.7345042, -0.581767, -0.09902982, 0.04370739, 0.2164446, 0.6591818, 0.426919, 2, 68.40051, 69.53913, 70.67775, 71.81637, 72.95499, 74.09361, 75.23223, 76.37084, 77.50946, 78.64808, 79.7867, 80.92532, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 69.12, 70.33, 70.93, 71.1, 71.93, 73.49, 74.74, 76.32, 77.56, 78.83, 80.37, 81.235, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007
New Zealand	Oceania	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 69.390, 70.260, 71.240, 71.520, 71.890, 72.220, 73.840, 74.320, 76.330, 77.550, 79.110, 80.204, 1994794.000, 2229407.000, 2488550.000, 2728150.000, 2929100.000, 3164900.000, 3210650.000, 3317166.000, 3437674.000, 3676187.000, 3908037.000, 4115771.000, 10556.576, 12247.395, 13175.678, 14463.919, 16046.037, 16233.718, 17632.410, 19007.191, 18363.325, 21050.414, 23189.801, 25185.009	-307.6996, 0.192821, 0.7030769, 0.608972, 0.6248671, -0.05923776, -0.6533427, -1.287448, -0.6315524, -1.115657, -0.06976224, 0.1861329, 0.782028, 0.9119231, -256.3071, 11.52902, 0.4001239, -0.2543298, -0.8187834, -1.423237, -0.7376907, -1.192144, -0.116598, 0.1689484, 0.7944948, 0.9540411, 2, 68.68692, 69.65103, 70.61513, 71.57924, 72.54334, 73.50745, 74.47155, 75.43566, 76.39976, 77.36387, 78.32797, 79.29208, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 69.39, 70.26, 71.24, 71.52, 71.89, 72.22, 73.84, 74.32, 76.33, 77.55, 79.11, 80.204, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007

If your list of data frames and list of models were separate objects, you have to remember that whenever you re-order or subset one vector, you need to re-order or subset all the others in order to keep them in sync. If you forget, your code will continue to work, but it will give the wrong answer!

Unnesting¶

Previously we computed the residuals of a single model with a single dataset. Now we have 142 data frames and 142 models. To compute the residuals, we need to call add_residuals() with each model-data pair:

In [12]:

            
                Copied!
                
by_country <- by_country |> 
  mutate(
    resids = map2(data, model, add_residuals)
  )
by_country
by_country <- by_country |> 
  mutate(
    resids = map2(data, model, add_residuals)
  )
by_country

A grouped_df: 142 × 5
country	continent	data	model	resids
<fct>	<fct>	<list>	<list>	<list>
Afghanistan	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 2.880100e+01, 3.033200e+01, 3.199700e+01, 3.402000e+01, 3.608800e+01, 3.843800e+01, 3.985400e+01, 4.082200e+01, 4.167400e+01, 4.176300e+01, 4.212900e+01, 4.382800e+01, 8.425333e+06, 9.240934e+06, 1.026708e+07, 1.153797e+07, 1.307946e+07, 1.488037e+07, 1.288182e+07, 1.386796e+07, 1.631792e+07, 2.222742e+07, 2.526840e+07, 3.188992e+07, 7.794453e+02, 8.208530e+02, 8.531007e+02, 8.361971e+02, 7.399811e+02, 7.861134e+02, 9.780114e+02, 8.523959e+02, 6.493414e+02, 6.353414e+02, 7.267341e+02, 9.745803e+02	-507.5343, 0.2753287, -1.106295, -0.9519382, -0.6635816, -0.01722494, 0.6741317, 1.647488, 1.686845, 1.278202, 0.7535583, -0.5340851, -1.544728, -1.222372, -129.8305, 16.46226, -0.3108827, 0.2892301, 0.934343, 1.861456, 1.854569, 1.399681, 0.8287943, -0.5050929, -1.56198, -1.285867, 2, 29.90729, 31.28394, 32.66058, 34.03722, 35.41387, 36.79051, 38.16716, 39.5438, 40.92044, 42.29709, 43.67373, 45.05037, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 28.801, 30.332, 31.997, 34.02, 36.088, 38.438, 39.854, 40.822, 41.674, 41.763, 42.129, 43.828, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 2.880100e+01, 3.033200e+01, 3.199700e+01, 3.402000e+01, 3.608800e+01, 3.843800e+01, 3.985400e+01, 4.082200e+01, 4.167400e+01, 4.176300e+01, 4.212900e+01, 4.382800e+01, 8.425333e+06, 9.240934e+06, 1.026708e+07, 1.153797e+07, 1.307946e+07, 1.488037e+07, 1.288182e+07, 1.386796e+07, 1.631792e+07, 2.222742e+07, 2.526840e+07, 3.188992e+07, 7.794453e+02, 8.208530e+02, 8.531007e+02, 8.361971e+02, 7.399811e+02, 7.861134e+02, 9.780114e+02, 8.523959e+02, 6.493414e+02, 6.353414e+02, 7.267341e+02, 9.745803e+02, -1.106295e+00, -9.519382e-01, -6.635816e-01, -1.722494e-02, 6.741317e-01, 1.647488e+00, 1.686845e+00, 1.278202e+00, 7.535583e-01, -5.340851e-01, -1.544728e+00, -1.222372e+00
Albania	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.230, 59.280, 64.820, 66.220, 67.690, 68.930, 70.420, 72.000, 71.581, 72.950, 75.651, 76.423, 1282697.000, 1476505.000, 1728137.000, 1984060.000, 2263554.000, 2509048.000, 2780097.000, 3075321.000, 3326498.000, 3428038.000, 3508512.000, 3600523.000, 1601.056, 1942.284, 2312.889, 2760.197, 3313.422, 3533.004, 3630.881, 3738.933, 2497.438, 3193.055, 4604.212, 5937.030	-594.0725, 0.3346832, -3.999128, -1.622544, 2.24404, 1.970624, 1.767207, 1.333791, 1.150375, 1.056959, -1.035457, -1.339873, -0.312289, -1.213705, -237.0586, 20.01115, 3.248124, 2.926981, 2.675838, 2.194694, 1.963551, 1.822408, -0.3177351, -0.6698783, 0.3099785, -0.6391646, 2, 59.22913, 60.90254, 62.57596, 64.24938, 65.92279, 67.59621, 69.26962, 70.94304, 72.61646, 74.28987, 75.96329, 77.63671, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 55.23, 59.28, 64.82, 66.22, 67.69, 68.93, 70.42, 72, 71.581, 72.95, 75.651, 76.423, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.523000e+01, 5.928000e+01, 6.482000e+01, 6.622000e+01, 6.769000e+01, 6.893000e+01, 7.042000e+01, 7.200000e+01, 7.158100e+01, 7.295000e+01, 7.565100e+01, 7.642300e+01, 1.282697e+06, 1.476505e+06, 1.728137e+06, 1.984060e+06, 2.263554e+06, 2.509048e+06, 2.780097e+06, 3.075321e+06, 3.326498e+06, 3.428038e+06, 3.508512e+06, 3.600523e+06, 1.601056e+03, 1.942284e+03, 2.312889e+03, 2.760197e+03, 3.313422e+03, 3.533004e+03, 3.630881e+03, 3.738933e+03, 2.497438e+03, 3.193055e+03, 4.604212e+03, 5.937030e+03, -3.999128e+00, -1.622544e+00, 2.244040e+00, 1.970624e+00, 1.767207e+00, 1.333791e+00, 1.150375e+00, 1.056959e+00, -1.035457e+00, -1.339873e+00, -3.122890e-01, -1.213705e+00
Algeria	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.077, 45.685, 48.303, 51.407, 54.518, 58.014, 61.368, 65.799, 67.744, 69.152, 70.994, 72.301, 9279525.000, 10270856.000, 11000948.000, 12760499.000, 14760787.000, 17152804.000, 20033753.000, 23254956.000, 26298373.000, 29072015.000, 31287142.000, 33333216.000, 2449.008, 3013.976, 2550.817, 3246.992, 4182.664, 4910.417, 5745.160, 5681.359, 5023.217, 4797.295, 5288.040, 6223.367	-1067.859, 0.5692797, -0.2979744, -0.536373, -0.7647716, -0.5071702, -0.2425688, 0.4070326, 0.914634, 2.499235, 1.597837, 0.1594382, -0.8449604, -2.384359, -204.4865, 34.03798, -0.6280719, -0.4013136, -0.1675554, 0.4512029, 0.9279612, 2.481719, 1.549478, 0.08023599, -0.9550057, -2.525247, 2, 43.37497, 46.22137, 49.06777, 51.91417, 54.76057, 57.60697, 60.45337, 63.29976, 66.14616, 68.99256, 71.83896, 74.68536, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 43.077, 45.685, 48.303, 51.407, 54.518, 58.014, 61.368, 65.799, 67.744, 69.152, 70.994, 72.301, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.307700e+01, 4.568500e+01, 4.830300e+01, 5.140700e+01, 5.451800e+01, 5.801400e+01, 6.136800e+01, 6.579900e+01, 6.774400e+01, 6.915200e+01, 7.099400e+01, 7.230100e+01, 9.279525e+06, 1.027086e+07, 1.100095e+07, 1.276050e+07, 1.476079e+07, 1.715280e+07, 2.003375e+07, 2.325496e+07, 2.629837e+07, 2.907202e+07, 3.128714e+07, 3.333322e+07, 2.449008e+03, 3.013976e+03, 2.550817e+03, 3.246992e+03, 4.182664e+03, 4.910417e+03, 5.745160e+03, 5.681359e+03, 5.023217e+03, 4.797295e+03, 5.288040e+03, 6.223367e+03, -2.979744e-01, -5.363730e-01, -7.647716e-01, -5.071702e-01, -2.425688e-01, 4.070326e-01, 9.146340e-01, 2.499235e+00, 1.597837e+00, 1.594382e-01, -8.449604e-01, -2.384359e+00
Angola	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 30.015, 31.999, 34.000, 35.985, 37.928, 39.483, 39.942, 39.906, 40.647, 40.963, 41.003, 42.731, 4232095.000, 4561361.000, 4826015.000, 5247469.000, 5894858.000, 6162675.000, 7016384.000, 7874230.000, 8735988.000, 9875024.000, 10866106.000, 12420476.000, 3520.610, 3827.940, 4269.277, 5522.776, 5473.288, 3008.647, 2756.954, 2430.208, 2627.846, 2277.141, 2773.287, 4797.231	-376.5048, 0.2093399, -2.111654, -1.174353, -0.2200524, 0.7182483, 1.614549, 2.12285, 1.53515, 0.452451, 0.1467517, -0.5839476, -1.590647, -0.9093462, -131.2323, 12.5167, 0.3574398, 1.24968, 2.099921, 2.562161, 1.928402, 0.799642, 0.4478825, -0.3288771, -1.381637, -0.7463962, 2, 32.12665, 33.17335, 34.22005, 35.26675, 36.31345, 37.36015, 38.40685, 39.45355, 40.50025, 41.54695, 42.59365, 43.64035, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 30.015, 31.999, 34, 35.985, 37.928, 39.483, 39.942, 39.906, 40.647, 40.963, 41.003, 42.731, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.001500e+01, 3.199900e+01, 3.400000e+01, 3.598500e+01, 3.792800e+01, 3.948300e+01, 3.994200e+01, 3.990600e+01, 4.064700e+01, 4.096300e+01, 4.100300e+01, 4.273100e+01, 4.232095e+06, 4.561361e+06, 4.826015e+06, 5.247469e+06, 5.894858e+06, 6.162675e+06, 7.016384e+06, 7.874230e+06, 8.735988e+06, 9.875024e+06, 1.086611e+07, 1.242048e+07, 3.520610e+03, 3.827940e+03, 4.269277e+03, 5.522776e+03, 5.473288e+03, 3.008647e+03, 2.756954e+03, 2.430208e+03, 2.627846e+03, 2.277141e+03, 2.773287e+03, 4.797231e+03, -2.111654e+00, -1.174353e+00, -2.200524e-01, 7.182483e-01, 1.614549e+00, 2.122850e+00, 1.535150e+00, 4.524510e-01, 1.467517e-01, -5.839476e-01, -1.590647e+00, -9.093462e-01
Argentina	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 62.485, 64.399, 65.142, 65.634, 67.065, 68.481, 69.942, 70.774, 71.868, 73.275, 74.340, 75.320, 17876956.000, 19610538.000, 21283783.000, 22934225.000, 24779799.000, 26983828.000, 29341374.000, 31620918.000, 33958947.000, 36203463.000, 38331121.000, 40301927.000, 5911.315, 6856.856, 7133.166, 8052.953, 9443.039, 10079.027, 8997.897, 9139.671, 9308.419, 10967.282, 8797.641, 12779.380	-389.6063, 0.2317084, -0.2034359, 0.5520221, 0.1364802, -0.5300618, -0.2576037, -0.0001456876, 0.3023124, -0.0242296, -0.08877156, 0.1596865, 0.06614452, -0.1123974, -239.2323, 13.85415, 0.09303993, -0.5342543, -0.2225486, 0.07415714, 0.4158629, 0.1285686, 0.1032744, 0.3909801, 0.3366858, 0.1973916, 2, 62.68844, 63.84698, 65.00552, 66.16406, 67.3226, 68.48115, 69.63969, 70.79823, 71.95677, 73.11531, 74.27386, 75.4324, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 62.485, 64.399, 65.142, 65.634, 67.065, 68.481, 69.942, 70.774, 71.868, 73.275, 74.34, 75.32, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 6.248500e+01, 6.439900e+01, 6.514200e+01, 6.563400e+01, 6.706500e+01, 6.848100e+01, 6.994200e+01, 7.077400e+01, 7.186800e+01, 7.327500e+01, 7.434000e+01, 7.532000e+01, 1.787696e+07, 1.961054e+07, 2.128378e+07, 2.293422e+07, 2.477980e+07, 2.698383e+07, 2.934137e+07, 3.162092e+07, 3.395895e+07, 3.620346e+07, 3.833112e+07, 4.030193e+07, 5.911315e+03, 6.856856e+03, 7.133166e+03, 8.052953e+03, 9.443039e+03, 1.007903e+04, 8.997897e+03, 9.139671e+03, 9.308419e+03, 1.096728e+04, 8.797641e+03, 1.277938e+04, -2.034359e-01, 5.520221e-01, 1.364802e-01, -5.300618e-01, -2.576037e-01, -1.456876e-04, 3.023124e-01, -2.422960e-02, -8.877156e-02, 1.596865e-01, 6.614452e-02, -1.123974e-01
Australia	Oceania	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 69.120, 70.330, 70.930, 71.100, 71.930, 73.490, 74.740, 76.320, 77.560, 78.830, 80.370, 81.235, 8691212.000, 9712569.000, 10794968.000, 11872264.000, 13177000.000, 14074100.000, 15184200.000, 16257249.000, 17481977.000, 18565243.000, 19546792.000, 20434176.000, 10039.596, 10949.650, 12217.227, 14526.125, 16788.629, 18334.198, 19477.009, 21888.889, 23424.767, 26997.937, 30687.755, 34435.367	-376.1163, 0.2277238, 0.7194872, 0.7908683, 0.2522494, -0.7163695, -1.024988, -0.6036072, -0.4922261, -0.05084499, 0.05053613, 0.1819172, 0.5832984, 0.3096795, -258.6399, 13.6159, -0.002715871, -0.9299787, -1.197241, -0.7345042, -0.581767, -0.09902982, 0.04370739, 0.2164446, 0.6591818, 0.426919, 2, 68.40051, 69.53913, 70.67775, 71.81637, 72.95499, 74.09361, 75.23223, 76.37084, 77.50946, 78.64808, 79.7867, 80.92532, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 69.12, 70.33, 70.93, 71.1, 71.93, 73.49, 74.74, 76.32, 77.56, 78.83, 80.37, 81.235, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 6.912000e+01, 7.033000e+01, 7.093000e+01, 7.110000e+01, 7.193000e+01, 7.349000e+01, 7.474000e+01, 7.632000e+01, 7.756000e+01, 7.883000e+01, 8.037000e+01, 8.123500e+01, 8.691212e+06, 9.712569e+06, 1.079497e+07, 1.187226e+07, 1.317700e+07, 1.407410e+07, 1.518420e+07, 1.625725e+07, 1.748198e+07, 1.856524e+07, 1.954679e+07, 2.043418e+07, 1.003960e+04, 1.094965e+04, 1.221723e+04, 1.452612e+04, 1.678863e+04, 1.833420e+04, 1.947701e+04, 2.188889e+04, 2.342477e+04, 2.699794e+04, 3.068775e+04, 3.443537e+04, 7.194872e-01, 7.908683e-01, 2.522494e-01, -7.163695e-01, -1.024988e+00, -6.036072e-01, -4.922261e-01, -5.084499e-02, 5.053613e-02, 1.819172e-01, 5.832984e-01, 3.096795e-01
Austria	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 66.800, 67.480, 69.540, 70.140, 70.630, 72.170, 73.180, 74.940, 76.040, 77.510, 78.980, 79.829, 6927772.000, 6965860.000, 7129864.000, 7376998.000, 7544201.000, 7568430.000, 7574613.000, 7578903.000, 7914969.000, 8069876.000, 8148312.000, 8199783.000, 6137.076, 8842.598, 10750.721, 12834.602, 16661.626, 19749.422, 21597.084, 23687.826, 27042.019, 29095.921, 32417.608, 36126.493	-405.9205, 0.2419923, 0.3515385, -0.1784231, 0.6716154, 0.06165385, -0.6583077, -0.3282692, -0.5282308, 0.02180769, -0.08815385, 0.1718846, 0.4319231, 0.07096154, -253.2371, 14.46904, 0.6311732, 0.004321666, -0.7325299, -0.4193814, -0.636233, -0.1030846, -0.2299361, 0.01321234, 0.2563608, -0.1214908, 2, 66.44846, 67.65842, 68.86838, 70.07835, 71.28831, 72.49827, 73.70823, 74.91819, 76.12815, 77.33812, 78.54808, 79.75804, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 66.8, 67.48, 69.54, 70.14, 70.63, 72.17, 73.18, 74.94, 76.04, 77.51, 78.98, 79.829, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 6.680000e+01, 6.748000e+01, 6.954000e+01, 7.014000e+01, 7.063000e+01, 7.217000e+01, 7.318000e+01, 7.494000e+01, 7.604000e+01, 7.751000e+01, 7.898000e+01, 7.982900e+01, 6.927772e+06, 6.965860e+06, 7.129864e+06, 7.376998e+06, 7.544201e+06, 7.568430e+06, 7.574613e+06, 7.578903e+06, 7.914969e+06, 8.069876e+06, 8.148312e+06, 8.199783e+06, 6.137076e+03, 8.842598e+03, 1.075072e+04, 1.283460e+04, 1.666163e+04, 1.974942e+04, 2.159708e+04, 2.368783e+04, 2.704202e+04, 2.909592e+04, 3.241761e+04, 3.612649e+04, 3.515385e-01, -1.784231e-01, 6.716154e-01, 6.165385e-02, -6.583077e-01, -3.282692e-01, -5.282308e-01, 2.180769e-02, -8.815385e-02, 1.718846e-01, 4.319231e-01, 7.096154e-02
Bahrain	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 50.939, 53.832, 56.923, 59.923, 63.300, 65.593, 69.052, 70.750, 72.601, 73.925, 74.795, 75.635, 120447.000, 138655.000, 171863.000, 202182.000, 230800.000, 297410.000, 377967.000, 454612.000, 529491.000, 598561.000, 656397.000, 708573.000, 9867.085, 11635.799, 12753.275, 14804.673, 18268.658, 19340.102, 19211.147, 18524.024, 19035.579, 20292.017, 23403.559, 29796.048	-859.8258, 0.4675077, -1.810205, -1.254744, -0.5012821, 0.1611795, 1.200641, 1.156103, 2.277564, 1.638026, 1.151487, 0.1379487, -1.32959, -2.827128, -227.2647, 27.95289, 0.03071535, 0.6374019, 1.621089, 1.520775, 2.586462, 1.891148, 1.348835, 0.2795215, -1.243792, -2.797105, 2, 52.74921, 55.08674, 57.42428, 59.76182, 62.09936, 64.4369, 66.77444, 69.11197, 71.44951, 73.78705, 76.12459, 78.46213, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 50.939, 53.832, 56.923, 59.923, 63.3, 65.593, 69.052, 70.75, 72.601, 73.925, 74.795, 75.635, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.093900e+01, 5.383200e+01, 5.692300e+01, 5.992300e+01, 6.330000e+01, 6.559300e+01, 6.905200e+01, 7.075000e+01, 7.260100e+01, 7.392500e+01, 7.479500e+01, 7.563500e+01, 1.204470e+05, 1.386550e+05, 1.718630e+05, 2.021820e+05, 2.308000e+05, 2.974100e+05, 3.779670e+05, 4.546120e+05, 5.294910e+05, 5.985610e+05, 6.563970e+05, 7.085730e+05, 9.867085e+03, 1.163580e+04, 1.275328e+04, 1.480467e+04, 1.826866e+04, 1.934010e+04, 1.921115e+04, 1.852402e+04, 1.903558e+04, 2.029202e+04, 2.340356e+04, 2.979605e+04, -1.810205e+00, -1.254744e+00, -5.012821e-01, 1.611795e-01, 1.200641e+00, 1.156103e+00, 2.277564e+00, 1.638026e+00, 1.151487e+00, 1.379487e-01, -1.329590e+00, -2.827128e+00
Bangladesh	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.748400e+01, 3.934800e+01, 4.121600e+01, 4.345300e+01, 4.525200e+01, 4.692300e+01, 5.000900e+01, 5.281900e+01, 5.601800e+01, 5.941200e+01, 6.201300e+01, 6.406200e+01, 4.688686e+07, 5.136547e+07, 5.683929e+07, 6.282188e+07, 7.075930e+07, 8.042831e+07, 9.307441e+07, 1.037642e+08, 1.137046e+08, 1.233153e+08, 1.356568e+08, 1.504483e+08, 6.842442e+02, 6.616375e+02, 6.863416e+02, 7.211861e+02, 6.302336e+02, 6.598772e+02, 6.769819e+02, 7.519794e+02, 8.378102e+02, 9.727700e+02, 1.136390e+03, 1.391254e+03	-936.2158, 0.4981308, 1.348513, 0.721859, 0.09920513, -0.1544487, -0.8461026, -1.665756, -1.07041, -0.7510641, -0.04271795, 0.8606282, 0.9709744, 0.5293205, -172.6303, 29.78389, -0.2654005, -0.4914848, -1.155569, -1.947653, -1.324738, -0.977822, -0.2419063, 0.6890094, 0.826925, 0.4128407, 2, 36.13549, 38.62614, 41.11679, 43.60745, 46.0981, 48.58876, 51.07941, 53.57006, 56.06072, 58.55137, 61.04203, 63.53268, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 37.484, 39.348, 41.216, 43.453, 45.252, 46.923, 50.009, 52.819, 56.018, 59.412, 62.013, 64.062, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.748400e+01, 3.934800e+01, 4.121600e+01, 4.345300e+01, 4.525200e+01, 4.692300e+01, 5.000900e+01, 5.281900e+01, 5.601800e+01, 5.941200e+01, 6.201300e+01, 6.406200e+01, 4.688686e+07, 5.136547e+07, 5.683929e+07, 6.282188e+07, 7.075930e+07, 8.042831e+07, 9.307441e+07, 1.037642e+08, 1.137046e+08, 1.233153e+08, 1.356568e+08, 1.504483e+08, 6.842442e+02, 6.616375e+02, 6.863416e+02, 7.211861e+02, 6.302336e+02, 6.598772e+02, 6.769819e+02, 7.519794e+02, 8.378102e+02, 9.727700e+02, 1.136390e+03, 1.391254e+03, 1.348513e+00, 7.218590e-01, 9.920513e-02, -1.544487e-01, -8.461026e-01, -1.665756e+00, -1.070410e+00, -7.510641e-01, -4.271795e-02, 8.606282e-01, 9.709744e-01, 5.293205e-01
Belgium	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 68.000, 69.240, 70.250, 70.940, 71.440, 72.800, 73.930, 75.350, 76.460, 77.530, 78.320, 79.441, 8730405.000, 8989111.000, 9218400.000, 9556500.000, 9709100.000, 9821800.000, 9856303.000, 9870200.000, 10045622.000, 10199787.000, 10311970.000, 10392226.000, 8343.105, 9714.961, 10991.207, 13149.041, 16672.144, 19117.974, 20979.846, 22525.563, 25575.571, 27561.197, 30485.884, 33692.605	-340.2412, 0.2090846, 0.1080769, 0.3026538, 0.2672308, -0.08819231, -0.6336154, -0.3190385, -0.2344615, 0.1401154, 0.2046923, 0.2292692, -0.02615385, 0.04942308, -255.1025, 12.50144, 0.2015463, -0.1355897, -0.6627256, -0.3298616, -0.2269975, 0.1658665, 0.2487306, 0.2915946, 0.05445866, 0.1483227, 2, 67.89192, 68.93735, 69.98277, 71.02819, 72.07362, 73.11904, 74.16446, 75.20988, 76.25531, 77.30073, 78.34615, 79.39158, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 68, 69.24, 70.25, 70.94, 71.44, 72.8, 73.93, 75.35, 76.46, 77.53, 78.32, 79.441, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 6.800000e+01, 6.924000e+01, 7.025000e+01, 7.094000e+01, 7.144000e+01, 7.280000e+01, 7.393000e+01, 7.535000e+01, 7.646000e+01, 7.753000e+01, 7.832000e+01, 7.944100e+01, 8.730405e+06, 8.989111e+06, 9.218400e+06, 9.556500e+06, 9.709100e+06, 9.821800e+06, 9.856303e+06, 9.870200e+06, 1.004562e+07, 1.019979e+07, 1.031197e+07, 1.039223e+07, 8.343105e+03, 9.714961e+03, 1.099121e+04, 1.314904e+04, 1.667214e+04, 1.911797e+04, 2.097985e+04, 2.252556e+04, 2.557557e+04, 2.756120e+04, 3.048588e+04, 3.369261e+04, 1.080769e-01, 3.026538e-01, 2.672308e-01, -8.819231e-02, -6.336154e-01, -3.190385e-01, -2.344615e-01, 1.401154e-01, 2.046923e-01, 2.292692e-01, -2.615385e-02, 4.942308e-02
Benin	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 38.2230, 40.3580, 42.6180, 44.8850, 47.0140, 49.1900, 50.9040, 52.3370, 53.9190, 54.7770, 54.4060, 56.7280, 1738315.0000, 1925173.0000, 2151895.0000, 2427334.0000, 2761407.0000, 3168267.0000, 3641603.0000, 4243788.0000, 4981671.0000, 6066080.0000, 7026113.0000, 8078314.0000, 1062.7522, 959.6011, 949.4991, 1035.8314, 1085.7969, 1029.1613, 1277.8976, 1225.8560, 1191.2077, 1232.9753, 1372.8779, 1441.2849	-612.834, 0.3342329, -1.365513, -0.9016772, -0.3128415, 0.2829942, 0.7408298, 1.245666, 1.288501, 1.050337, 0.9611725, 0.1480082, -1.894156, -1.243321, -168.9786, 19.98422, 0.08178907, 0.6384955, 1.057202, 1.522908, 1.526615, 1.249321, 1.121028, 0.2687342, -1.812559, -1.200853, 2, 39.58851, 41.25968, 42.93084, 44.60201, 46.27317, 47.94433, 49.6155, 51.28666, 52.95783, 54.62899, 56.30016, 57.97132, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 38.223, 40.358, 42.618, 44.885, 47.014, 49.19, 50.904, 52.337, 53.919, 54.777, 54.406, 56.728, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.822300e+01, 4.035800e+01, 4.261800e+01, 4.488500e+01, 4.701400e+01, 4.919000e+01, 5.090400e+01, 5.233700e+01, 5.391900e+01, 5.477700e+01, 5.440600e+01, 5.672800e+01, 1.738315e+06, 1.925173e+06, 2.151895e+06, 2.427334e+06, 2.761407e+06, 3.168267e+06, 3.641603e+06, 4.243788e+06, 4.981671e+06, 6.066080e+06, 7.026113e+06, 8.078314e+06, 1.062752e+03, 9.596011e+02, 9.494991e+02, 1.035831e+03, 1.085797e+03, 1.029161e+03, 1.277898e+03, 1.225856e+03, 1.191208e+03, 1.232975e+03, 1.372878e+03, 1.441285e+03, -1.365513e+00, -9.016772e-01, -3.128415e-01, 2.829942e-01, 7.408298e-01, 1.245666e+00, 1.288501e+00, 1.050337e+00, 9.611725e-01, 1.480082e-01, -1.894156e+00, -1.243321e+00
Bolivia	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 40.414, 41.890, 43.428, 45.032, 46.714, 50.023, 53.859, 57.251, 59.957, 62.050, 63.883, 65.554, 2883315.000, 3211738.000, 3593918.000, 4040665.000, 4565872.000, 5079716.000, 5642224.000, 6156369.000, 6893451.000, 7693188.000, 8445134.000, 9119152.000, 2677.326, 2127.686, 2180.973, 2586.886, 2980.331, 3548.098, 3156.510, 2753.691, 2961.700, 3326.143, 3413.263, 3822.137	-937.1111, 0.4999322, 1.657551, 0.6338904, -0.3277704, -1.223431, -2.041092, -1.231753, 0.1045862, 0.9969254, 1.203265, 0.7966037, 0.1299429, -0.6987179, -181.8812, 29.8916, -0.7381891, -1.616604, -2.41702, -1.590435, -0.2368505, 0.6727342, 0.8963189, 0.5069035, -0.1425118, -0.9539271, 2, 38.75645, 41.25611, 43.75577, 46.25543, 48.75509, 51.25475, 53.75441, 56.25407, 58.75374, 61.2534, 63.75306, 66.25272, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 40.414, 41.89, 43.428, 45.032, 46.714, 50.023, 53.859, 57.251, 59.957, 62.05, 63.883, 65.554, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.041400e+01, 4.189000e+01, 4.342800e+01, 4.503200e+01, 4.671400e+01, 5.002300e+01, 5.385900e+01, 5.725100e+01, 5.995700e+01, 6.205000e+01, 6.388300e+01, 6.555400e+01, 2.883315e+06, 3.211738e+06, 3.593918e+06, 4.040665e+06, 4.565872e+06, 5.079716e+06, 5.642224e+06, 6.156369e+06, 6.893451e+06, 7.693188e+06, 8.445134e+06, 9.119152e+06, 2.677326e+03, 2.127686e+03, 2.180973e+03, 2.586886e+03, 2.980331e+03, 3.548098e+03, 3.156510e+03, 2.753691e+03, 2.961700e+03, 3.326143e+03, 3.413263e+03, 3.822137e+03, 1.657551e+00, 6.338904e-01, -3.277704e-01, -1.223431e+00, -2.041092e+00, -1.231753e+00, 1.045862e-01, 9.969254e-01, 1.203265e+00, 7.966037e-01, 1.299429e-01, -6.987179e-01
Bosnia and Herzegovina	Europe	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 53.8200, 58.4500, 61.9300, 64.7900, 67.4500, 69.8600, 70.6900, 71.1400, 72.1780, 73.2440, 74.0900, 74.8520, 2791000.0000, 3076000.0000, 3349000.0000, 3585000.0000, 3819000.0000, 4086000.0000, 4172693.0000, 4338977.0000, 4256013.0000, 3607000.0000, 4165416.0000, 4552198.0000, 973.5332, 1353.9892, 1709.6837, 2172.3524, 2860.1698, 3528.4813, 4126.6132, 4314.1148, 2546.7814, 4766.3559, 6018.9752, 7446.2988	-624.6327, 0.3497552, -4.269564, -1.38834, 0.3428834, 1.454107, 2.365331, 3.026555, 2.107779, 0.8090023, 0.09822611, -0.5845501, -1.487326, -2.474103, -234.5468, 20.91232, 1.36364, 2.446497, 3.329354, 3.962211, 3.015068, 1.687925, 0.9487816, 0.2376386, -0.6935044, -1.708647, 2, 58.08956, 59.83834, 61.58712, 63.33589, 65.08467, 66.83345, 68.58222, 70.331, 72.07977, 73.82855, 75.57733, 77.3261, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 53.82, 58.45, 61.93, 64.79, 67.45, 69.86, 70.69, 71.14, 72.178, 73.244, 74.09, 74.852, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.382000e+01, 5.845000e+01, 6.193000e+01, 6.479000e+01, 6.745000e+01, 6.986000e+01, 7.069000e+01, 7.114000e+01, 7.217800e+01, 7.324400e+01, 7.409000e+01, 7.485200e+01, 2.791000e+06, 3.076000e+06, 3.349000e+06, 3.585000e+06, 3.819000e+06, 4.086000e+06, 4.172693e+06, 4.338977e+06, 4.256013e+06, 3.607000e+06, 4.165416e+06, 4.552198e+06, 9.735332e+02, 1.353989e+03, 1.709684e+03, 2.172352e+03, 2.860170e+03, 3.528481e+03, 4.126613e+03, 4.314115e+03, 2.546781e+03, 4.766356e+03, 6.018975e+03, 7.446299e+03, -4.269564e+00, -1.388340e+00, 3.428834e-01, 1.454107e+00, 2.365331e+00, 3.026555e+00, 2.107779e+00, 8.090023e-01, 9.822611e-02, -5.845501e-01, -1.487326e+00, -2.474103e+00
Botswana	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 47.6220, 49.6180, 51.5200, 53.2980, 56.0240, 59.3190, 61.4840, 63.6220, 62.7450, 52.5560, 46.6340, 50.7280, 442308.0000, 474639.0000, 512764.0000, 553541.0000, 619351.0000, 781472.0000, 970347.0000, 1151184.0000, 1342614.0000, 1536536.0000, 1630347.0000, 1639131.0000, 851.2411, 918.2325, 983.6540, 1214.7093, 2263.6111, 3214.8578, 4551.1421, 6205.8839, 7954.1116, 8647.1423, 11003.6051, 12569.8518	-65.49586, 0.06066853, -5.307115, -3.614458, -2.015801, -0.5411434, 1.881514, 4.873171, 6.734829, 8.569486, 7.389143, -3.103199, -9.328542, -5.537885, -189.1313, 3.627451, -0.4656616, 0.8496905, 3.113043, 5.945395, 7.647747, 9.323099, 7.983451, -2.668197, -9.052845, -5.421493, 2, 52.92912, 53.23246, 53.5358, 53.83914, 54.14249, 54.44583, 54.74917, 55.05251, 55.35586, 55.6592, 55.96254, 56.26588, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 47.622, 49.618, 51.52, 53.298, 56.024, 59.319, 61.484, 63.622, 62.745, 52.556, 46.634, 50.728, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.762200e+01, 4.961800e+01, 5.152000e+01, 5.329800e+01, 5.602400e+01, 5.931900e+01, 6.148400e+01, 6.362200e+01, 6.274500e+01, 5.255600e+01, 4.663400e+01, 5.072800e+01, 4.423080e+05, 4.746390e+05, 5.127640e+05, 5.535410e+05, 6.193510e+05, 7.814720e+05, 9.703470e+05, 1.151184e+06, 1.342614e+06, 1.536536e+06, 1.630347e+06, 1.639131e+06, 8.512411e+02, 9.182325e+02, 9.836540e+02, 1.214709e+03, 2.263611e+03, 3.214858e+03, 4.551142e+03, 6.205884e+03, 7.954112e+03, 8.647142e+03, 1.100361e+04, 1.256985e+04, -5.307115e+00, -3.614458e+00, -2.015801e+00, -5.411434e-01, 1.881514e+00, 4.873171e+00, 6.734829e+00, 8.569486e+00, 7.389143e+00, -3.103199e+00, -9.328542e+00, -5.537885e+00
Brazil	Americas	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.091700e+01, 5.328500e+01, 5.566500e+01, 5.763200e+01, 5.950400e+01, 6.148900e+01, 6.333600e+01, 6.520500e+01, 6.705700e+01, 6.938800e+01, 7.100600e+01, 7.239000e+01, 5.660256e+07, 6.555117e+07, 7.603939e+07, 8.804982e+07, 1.008401e+08, 1.143140e+08, 1.289629e+08, 1.429381e+08, 1.559760e+08, 1.685467e+08, 1.799142e+08, 1.900106e+08, 2.108944e+03, 2.487366e+03, 3.336586e+03, 3.429864e+03, 4.985711e+03, 6.660119e+03, 7.030836e+03, 7.807096e+03, 6.950283e+03, 7.957981e+03, 8.131213e+03, 9.065801e+03	-709.9427, 0.3900895, -0.5950385, -0.177486, 0.2520664, 0.2686189, 0.1901713, 0.2247238, 0.1212762, 0.03982867, -0.05861888, 0.3219336, -0.01051399, -0.5769615, -215.604, 23.32396, 0.3919429, 0.405593, 0.3242431, 0.3558932, 0.2495433, 0.1651934, 0.06384349, 0.4414936, 0.1061437, -0.4632062, 2, 51.51204, 53.46249, 55.41293, 57.36338, 59.31383, 61.26428, 63.21472, 65.16517, 67.11562, 69.06607, 71.01651, 72.96696, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 50.917, 53.285, 55.665, 57.632, 59.504, 61.489, 63.336, 65.205, 67.057, 69.388, 71.006, 72.39, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.091700e+01, 5.328500e+01, 5.566500e+01, 5.763200e+01, 5.950400e+01, 6.148900e+01, 6.333600e+01, 6.520500e+01, 6.705700e+01, 6.938800e+01, 7.100600e+01, 7.239000e+01, 5.660256e+07, 6.555117e+07, 7.603939e+07, 8.804982e+07, 1.008401e+08, 1.143140e+08, 1.289629e+08, 1.429381e+08, 1.559760e+08, 1.685467e+08, 1.799142e+08, 1.900106e+08, 2.108944e+03, 2.487366e+03, 3.336586e+03, 3.429864e+03, 4.985711e+03, 6.660119e+03, 7.030836e+03, 7.807096e+03, 6.950283e+03, 7.957981e+03, 8.131213e+03, 9.065801e+03, -5.950385e-01, -1.774860e-01, 2.520664e-01, 2.686189e-01, 1.901713e-01, 2.247238e-01, 1.212762e-01, 3.982867e-02, -5.861888e-02, 3.219336e-01, -1.051399e-02, -5.769615e-01
Bulgaria	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 59.600, 66.610, 69.510, 70.420, 70.900, 70.810, 71.080, 71.340, 71.190, 70.320, 72.140, 73.005, 7274900.000, 7651254.000, 8012946.000, 8310226.000, 8576200.000, 8797022.000, 8892098.000, 8971958.000, 8658506.000, 8066057.000, 7661799.000, 7322858.000, 2444.287, 3008.671, 4254.338, 5577.003, 6597.494, 7612.240, 8224.192, 8239.855, 6302.623, 5970.389, 7696.778, 10680.793	-218.6473, 0.1456888, -6.137308, 0.1442483, 2.315804, 2.49736, 2.248916, 1.430472, 0.972028, 0.5035839, -0.3748601, -1.973304, -0.8817483, -0.7451923, -241.5994, 8.710924, 3.464353, 3.745675, 3.596997, 2.87832, 2.519642, 2.150964, 1.372286, -0.1263916, 1.064931, 1.301253, 2, 65.73731, 66.46575, 67.1942, 67.92264, 68.65108, 69.37953, 70.10797, 70.83642, 71.56486, 72.2933, 73.02175, 73.75019, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 59.6, 66.61, 69.51, 70.42, 70.9, 70.81, 71.08, 71.34, 71.19, 70.32, 72.14, 73.005, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.960000e+01, 6.661000e+01, 6.951000e+01, 7.042000e+01, 7.090000e+01, 7.081000e+01, 7.108000e+01, 7.134000e+01, 7.119000e+01, 7.032000e+01, 7.214000e+01, 7.300500e+01, 7.274900e+06, 7.651254e+06, 8.012946e+06, 8.310226e+06, 8.576200e+06, 8.797022e+06, 8.892098e+06, 8.971958e+06, 8.658506e+06, 8.066057e+06, 7.661799e+06, 7.322858e+06, 2.444287e+03, 3.008671e+03, 4.254338e+03, 5.577003e+03, 6.597494e+03, 7.612240e+03, 8.224192e+03, 8.239855e+03, 6.302623e+03, 5.970389e+03, 7.696778e+03, 1.068079e+04, -6.137308e+00, 1.442483e-01, 2.315804e+00, 2.497360e+00, 2.248916e+00, 1.430472e+00, 9.720280e-01, 5.035839e-01, -3.748601e-01, -1.973304e+00, -8.817483e-01, -7.451923e-01
Burkina Faso	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.197500e+01, 3.490600e+01, 3.781400e+01, 4.069700e+01, 4.359100e+01, 4.613700e+01, 4.812200e+01, 4.955700e+01, 5.026000e+01, 5.032400e+01, 5.065000e+01, 5.229500e+01, 4.469979e+06, 4.713416e+06, 4.919632e+06, 5.127935e+06, 5.433886e+06, 5.889574e+06, 6.634596e+06, 7.586551e+06, 8.878303e+06, 1.035284e+07, 1.225121e+07, 1.432620e+07, 5.432552e+02, 6.171835e+02, 7.225120e+02, 7.948266e+02, 8.547360e+02, 7.433870e+02, 8.071986e+02, 9.120631e+02, 9.317528e+02, 9.462950e+02, 1.037645e+03, 1.217033e+03	-675.7942, 0.3639748, -2.709692, -1.598566, -0.5104406, 0.5526853, 1.626811, 2.352937, 2.518063, 2.133189, 1.016315, -0.7395594, -2.233434, -2.408308, -154.8246, 21.76253, 0.2442503, 1.242254, 2.251257, 2.91226, 3.012263, 2.562267, 1.38027, -0.4407268, -1.999723, -2.23972, 2, 34.68469, 36.50457, 38.32444, 40.14431, 41.96419, 43.78406, 45.60394, 47.42381, 49.24369, 51.06356, 52.88343, 54.70331, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 31.975, 34.906, 37.814, 40.697, 43.591, 46.137, 48.122, 49.557, 50.26, 50.324, 50.65, 52.295, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.197500e+01, 3.490600e+01, 3.781400e+01, 4.069700e+01, 4.359100e+01, 4.613700e+01, 4.812200e+01, 4.955700e+01, 5.026000e+01, 5.032400e+01, 5.065000e+01, 5.229500e+01, 4.469979e+06, 4.713416e+06, 4.919632e+06, 5.127935e+06, 5.433886e+06, 5.889574e+06, 6.634596e+06, 7.586551e+06, 8.878303e+06, 1.035284e+07, 1.225121e+07, 1.432620e+07, 5.432552e+02, 6.171835e+02, 7.225120e+02, 7.948266e+02, 8.547360e+02, 7.433870e+02, 8.071986e+02, 9.120631e+02, 9.317528e+02, 9.462950e+02, 1.037645e+03, 1.217033e+03, -2.709692e+00, -1.598566e+00, -5.104406e-01, 5.526853e-01, 1.626811e+00, 2.352937e+00, 2.518063e+00, 2.133189e+00, 1.016315e+00, -7.395594e-01, -2.233434e+00, -2.408308e+00
Burundi	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 39.0310, 40.5330, 42.0450, 43.5480, 44.0570, 45.9100, 47.4710, 48.2110, 44.7360, 45.3260, 47.3600, 49.5800, 2445618.0000, 2667518.0000, 2961915.0000, 3330989.0000, 3529983.0000, 3834415.0000, 4580410.0000, 5126023.0000, 5809236.0000, 6121610.0000, 7021078.0000, 8390505.0000, 339.2965, 379.5646, 355.2032, 412.9775, 464.0995, 556.1033, 559.6032, 621.8188, 631.6999, 463.1151, 446.4035, 430.0707	-260.2914, 0.1541343, -1.547641, -0.8163124, -0.07498368, 0.657345, 0.3956737, 1.478002, 2.268331, 2.23766, -2.008012, -2.188683, -0.9253543, 0.5239744, -155.2518, 9.215889, 0.3416532, 1.043139, 0.750624, 1.802109, 2.561595, 2.50008, -1.776435, -1.987949, -0.7554638, 0.6630216, 2, 40.57864, 41.34931, 42.11998, 42.89066, 43.66133, 44.432, 45.20267, 45.97334, 46.74401, 47.51468, 48.28535, 49.05603, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 39.031, 40.533, 42.045, 43.548, 44.057, 45.91, 47.471, 48.211, 44.736, 45.326, 47.36, 49.58, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.903100e+01, 4.053300e+01, 4.204500e+01, 4.354800e+01, 4.405700e+01, 4.591000e+01, 4.747100e+01, 4.821100e+01, 4.473600e+01, 4.532600e+01, 4.736000e+01, 4.958000e+01, 2.445618e+06, 2.667518e+06, 2.961915e+06, 3.330989e+06, 3.529983e+06, 3.834415e+06, 4.580410e+06, 5.126023e+06, 5.809236e+06, 6.121610e+06, 7.021078e+06, 8.390505e+06, 3.392965e+02, 3.795646e+02, 3.552032e+02, 4.129775e+02, 4.640995e+02, 5.561033e+02, 5.596032e+02, 6.218188e+02, 6.316999e+02, 4.631151e+02, 4.464035e+02, 4.300707e+02, -1.547641e+00, -8.163124e-01, -7.498368e-02, 6.573450e-01, 3.956737e-01, 1.478002e+00, 2.268331e+00, 2.237660e+00, -2.008012e+00, -2.188683e+00, -9.253543e-01, 5.239744e-01
Cambodia	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.941700e+01, 4.136600e+01, 4.341500e+01, 4.541500e+01, 4.031700e+01, 3.122000e+01, 5.095700e+01, 5.391400e+01, 5.580300e+01, 5.653400e+01, 5.675200e+01, 5.972300e+01, 4.693836e+06, 5.322536e+06, 6.083619e+06, 6.960067e+06, 7.450606e+06, 6.978607e+06, 7.272485e+06, 8.371791e+06, 1.015009e+07, 1.178296e+07, 1.292671e+07, 1.413186e+07, 3.684693e+02, 4.340383e+02, 4.969136e+02, 5.234323e+02, 4.216240e+02, 5.249722e+02, 6.244755e+02, 6.838956e+02, 6.823032e+02, 7.342852e+02, 8.962260e+02, 1.713779e+03	-735.7868, 0.3959028, 2.401577, 2.371063, 2.440549, 2.461035, -4.616479, -15.69299, 2.064493, 3.041979, 2.951465, 1.702951, -0.05856294, 0.9329231, -165.94, 23.67154, 1.629535, 1.770411, -5.186713, -16.14284, 1.73504, 2.832916, 2.862792, 1.734669, 0.09354479, 1.205421, 2, 37.01542, 38.99494, 40.97445, 42.95397, 44.93348, 46.91299, 48.89251, 50.87202, 52.85153, 54.83105, 56.81056, 58.79008, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 39.417, 41.366, 43.415, 45.415, 40.317, 31.22, 50.957, 53.914, 55.803, 56.534, 56.752, 59.723, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.941700e+01, 4.136600e+01, 4.341500e+01, 4.541500e+01, 4.031700e+01, 3.122000e+01, 5.095700e+01, 5.391400e+01, 5.580300e+01, 5.653400e+01, 5.675200e+01, 5.972300e+01, 4.693836e+06, 5.322536e+06, 6.083619e+06, 6.960067e+06, 7.450606e+06, 6.978607e+06, 7.272485e+06, 8.371791e+06, 1.015009e+07, 1.178296e+07, 1.292671e+07, 1.413186e+07, 3.684693e+02, 4.340383e+02, 4.969136e+02, 5.234323e+02, 4.216240e+02, 5.249722e+02, 6.244755e+02, 6.838956e+02, 6.823032e+02, 7.342852e+02, 8.962260e+02, 1.713779e+03, 2.401577e+00, 2.371063e+00, 2.440549e+00, 2.461035e+00, -4.616479e+00, -1.569299e+01, 2.064493e+00, 3.041979e+00, 2.951465e+00, 1.702951e+00, -5.856294e-02, 9.329231e-01
Cameroon	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 38.523, 40.428, 42.643, 44.799, 47.049, 49.355, 52.961, 54.985, 54.314, 52.199, 49.856, 50.430, 5009067.000, 5359923.000, 5793633.000, 6335506.000, 7021028.000, 7959865.000, 9250831.000, 10780667.000, 12467171.000, 14195809.000, 15929988.000, 17696293.000, 1172.668, 1313.048, 1399.607, 1508.453, 1684.147, 1783.433, 2367.983, 2602.664, 1793.163, 1694.337, 1934.011, 2042.095	-447.0372, 0.2501469, -2.726462, -2.072196, -1.10793, -0.2026643, 0.7966014, 1.851867, 4.207133, 4.980399, 3.058664, -0.3070699, -3.900804, -4.577538, -166.722, 14.95661, -0.279495, 0.5297886, 1.433072, 2.392356, 4.65164, 5.328923, 3.311207, -0.1505094, -3.840226, -4.612942, 2, 41.24946, 42.5002, 43.75093, 45.00166, 46.2524, 47.50313, 48.75387, 50.0046, 51.25534, 52.50607, 53.7568, 55.00754, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 38.523, 40.428, 42.643, 44.799, 47.049, 49.355, 52.961, 54.985, 54.314, 52.199, 49.856, 50.43, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.852300e+01, 4.042800e+01, 4.264300e+01, 4.479900e+01, 4.704900e+01, 4.935500e+01, 5.296100e+01, 5.498500e+01, 5.431400e+01, 5.219900e+01, 4.985600e+01, 5.043000e+01, 5.009067e+06, 5.359923e+06, 5.793633e+06, 6.335506e+06, 7.021028e+06, 7.959865e+06, 9.250831e+06, 1.078067e+07, 1.246717e+07, 1.419581e+07, 1.592999e+07, 1.769629e+07, 1.172668e+03, 1.313048e+03, 1.399607e+03, 1.508453e+03, 1.684147e+03, 1.783433e+03, 2.367983e+03, 2.602664e+03, 1.793163e+03, 1.694337e+03, 1.934011e+03, 2.042095e+03, -2.726462e+00, -2.072196e+00, -1.107930e+00, -2.026643e-01, 7.966014e-01, 1.851867e+00, 4.207133e+00, 4.980399e+00, 3.058664e+00, -3.070699e-01, -3.900804e+00, -4.577538e+00
Canada	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 68.750, 69.960, 71.300, 72.130, 72.880, 74.210, 75.760, 76.860, 77.950, 78.610, 79.770, 80.653, 14785584.000, 17010154.000, 18985849.000, 20819767.000, 22284500.000, 23796400.000, 25201900.000, 26549700.000, 28523502.000, 30305843.000, 31902268.000, 33390141.000, 11367.161, 12489.950, 13462.486, 16076.588, 18970.571, 22090.883, 22898.792, 26626.515, 26342.884, 28954.926, 33328.965, 36319.235	-358.3489, 0.2188692, -0.1338462, -0.01819231, 0.2274615, -0.03688462, -0.3812308, -0.1455769, 0.3100769, 0.3157308, 0.3113846, -0.1229615, -0.05730769, -0.2686538, -259.4707, 13.08648, 0.2556881, -0.007883681, -0.3514555, -0.1150273, 0.3414009, 0.3478291, 0.3442573, -0.08931448, -0.02288628, -0.2334581, 2, 68.88385, 69.97819, 71.07254, 72.16688, 73.26123, 74.35558, 75.44992, 76.54427, 77.63862, 78.73296, 79.82731, 80.92165, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 68.75, 69.96, 71.3, 72.13, 72.88, 74.21, 75.76, 76.86, 77.95, 78.61, 79.77, 80.653, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 6.875000e+01, 6.996000e+01, 7.130000e+01, 7.213000e+01, 7.288000e+01, 7.421000e+01, 7.576000e+01, 7.686000e+01, 7.795000e+01, 7.861000e+01, 7.977000e+01, 8.065300e+01, 1.478558e+07, 1.701015e+07, 1.898585e+07, 2.081977e+07, 2.228450e+07, 2.379640e+07, 2.520190e+07, 2.654970e+07, 2.852350e+07, 3.030584e+07, 3.190227e+07, 3.339014e+07, 1.136716e+04, 1.248995e+04, 1.346249e+04, 1.607659e+04, 1.897057e+04, 2.209088e+04, 2.289879e+04, 2.662652e+04, 2.634288e+04, 2.895493e+04, 3.332897e+04, 3.631924e+04, -1.338462e-01, -1.819231e-02, 2.274615e-01, -3.688462e-02, -3.812308e-01, -1.455769e-01, 3.100769e-01, 3.157308e-01, 3.113846e-01, -1.229615e-01, -5.730769e-02, -2.686538e-01
Central African Republic	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 35.4630, 37.4640, 39.4750, 41.4780, 43.4570, 46.7750, 48.2950, 50.4850, 49.3960, 46.0660, 43.3080, 44.7410, 1291695.0000, 1392284.0000, 1523478.0000, 1733638.0000, 1927260.0000, 2167533.0000, 2476971.0000, 2840009.0000, 3265124.0000, 3696513.0000, 4048013.0000, 4369038.0000, 1071.3107, 1190.8443, 1193.0688, 1136.0566, 1070.0133, 1109.3743, 956.7530, 844.8764, 747.9055, 740.5063, 738.6906, 706.0165	-320.1742, 0.1839056, -3.346513, -2.265041, -1.173569, -0.09009674, 0.9693753, 3.367847, 3.968319, 5.238791, 3.230263, -1.019265, -4.696793, -4.183321, -151.9595, 10.99596, -0.198201, 0.7857459, 1.745693, 4.04464, 4.545586, 5.716533, 3.60848, -0.7405729, -4.517626, -4.103679, 2, 38.80951, 39.72904, 40.64857, 41.5681, 42.48762, 43.40715, 44.32668, 45.24621, 46.16574, 47.08526, 48.00479, 48.92432, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 35.463, 37.464, 39.475, 41.478, 43.457, 46.775, 48.295, 50.485, 49.396, 46.066, 43.308, 44.741, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.546300e+01, 3.746400e+01, 3.947500e+01, 4.147800e+01, 4.345700e+01, 4.677500e+01, 4.829500e+01, 5.048500e+01, 4.939600e+01, 4.606600e+01, 4.330800e+01, 4.474100e+01, 1.291695e+06, 1.392284e+06, 1.523478e+06, 1.733638e+06, 1.927260e+06, 2.167533e+06, 2.476971e+06, 2.840009e+06, 3.265124e+06, 3.696513e+06, 4.048013e+06, 4.369038e+06, 1.071311e+03, 1.190844e+03, 1.193069e+03, 1.136057e+03, 1.070013e+03, 1.109374e+03, 9.567530e+02, 8.448764e+02, 7.479055e+02, 7.405063e+02, 7.386906e+02, 7.060165e+02, -3.346513e+00, -2.265041e+00, -1.173569e+00, -9.009674e-02, 9.693753e-01, 3.367847e+00, 3.968319e+00, 5.238791e+00, 3.230263e+00, -1.019265e+00, -4.696793e+00, -4.183321e+00
Chad	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.809200e+01, 3.988100e+01, 4.171600e+01, 4.360100e+01, 4.556900e+01, 4.738300e+01, 4.951700e+01, 5.105100e+01, 5.172400e+01, 5.157300e+01, 5.052500e+01, 5.065100e+01, 2.682462e+06, 2.894855e+06, 3.150417e+06, 3.495967e+06, 3.899068e+06, 4.388260e+06, 4.875118e+06, 5.498955e+06, 6.429417e+06, 7.562011e+06, 8.835739e+06, 1.023881e+07, 1.178666e+03, 1.308496e+03, 1.389818e+03, 1.196811e+03, 1.104104e+03, 1.133985e+03, 7.979081e+02, 9.523861e+02, 1.058064e+03, 1.004961e+03, 1.156182e+03, 1.704064e+03	-454.523, 0.2532441, -1.717372, -1.194592, -0.6258124, -0.007032634, 0.6947471, 1.242527, 2.110307, 2.378086, 1.784866, 0.3676457, -1.946575, -3.086795, -162.0284, 15.14179, -0.1204726, 0.445117, 1.093707, 1.588296, 2.402886, 2.617475, 1.971065, 0.5006542, -1.866756, -3.060167, 2, 39.80937, 41.07559, 42.34181, 43.60803, 44.87425, 46.14047, 47.40669, 48.67291, 49.93913, 51.20535, 52.47157, 53.73779, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 38.092, 39.881, 41.716, 43.601, 45.569, 47.383, 49.517, 51.051, 51.724, 51.573, 50.525, 50.651, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.809200e+01, 3.988100e+01, 4.171600e+01, 4.360100e+01, 4.556900e+01, 4.738300e+01, 4.951700e+01, 5.105100e+01, 5.172400e+01, 5.157300e+01, 5.052500e+01, 5.065100e+01, 2.682462e+06, 2.894855e+06, 3.150417e+06, 3.495967e+06, 3.899068e+06, 4.388260e+06, 4.875118e+06, 5.498955e+06, 6.429417e+06, 7.562011e+06, 8.835739e+06, 1.023881e+07, 1.178666e+03, 1.308496e+03, 1.389818e+03, 1.196811e+03, 1.104104e+03, 1.133985e+03, 7.979081e+02, 9.523861e+02, 1.058064e+03, 1.004961e+03, 1.156182e+03, 1.704064e+03, -1.717372e+00, -1.194592e+00, -6.258124e-01, -7.032634e-03, 6.947471e-01, 1.242527e+00, 2.110307e+00, 2.378086e+00, 1.784866e+00, 3.676457e-01, -1.946575e+00, -3.086795e+00
Chile	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 54.745, 56.074, 57.924, 60.523, 63.441, 67.052, 70.565, 72.492, 74.126, 75.816, 77.860, 78.553, 6377619.000, 7048426.000, 7961258.000, 8858908.000, 9717524.000, 10599793.000, 11487112.000, 12463354.000, 13572994.000, 14599929.000, 15497046.000, 16284741.000, 3939.979, 4315.623, 4519.094, 5106.654, 5494.024, 4756.764, 5095.666, 5547.064, 7596.126, 10118.053, 10778.784, 13171.639	-876.4819, 0.4768441, 0.4272949, -0.6279254, -1.162146, -0.947366, -0.4135862, 0.8131935, 1.941973, 1.484753, 0.7345326, 0.04031235, -0.2999079, -1.991128, -233.5875, 28.51113, -1.150077, -0.9828232, -0.4965696, 0.6826839, 1.763937, 1.259191, 0.4614446, -0.2803019, -0.6680483, -2.406795, 2, 54.31771, 56.70193, 59.08615, 61.47037, 63.85459, 66.23881, 68.62303, 71.00725, 73.39147, 75.77569, 78.15991, 80.54413, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 54.745, 56.074, 57.924, 60.523, 63.441, 67.052, 70.565, 72.492, 74.126, 75.816, 77.86, 78.553, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.474500e+01, 5.607400e+01, 5.792400e+01, 6.052300e+01, 6.344100e+01, 6.705200e+01, 7.056500e+01, 7.249200e+01, 7.412600e+01, 7.581600e+01, 7.786000e+01, 7.855300e+01, 6.377619e+06, 7.048426e+06, 7.961258e+06, 8.858908e+06, 9.717524e+06, 1.059979e+07, 1.148711e+07, 1.246335e+07, 1.357299e+07, 1.459993e+07, 1.549705e+07, 1.628474e+07, 3.939979e+03, 4.315623e+03, 4.519094e+03, 5.106654e+03, 5.494024e+03, 4.756764e+03, 5.095666e+03, 5.547064e+03, 7.596126e+03, 1.011805e+04, 1.077878e+04, 1.317164e+04, 4.272949e-01, -6.279254e-01, -1.162146e+00, -9.473660e-01, -4.135862e-01, 8.131935e-01, 1.941973e+00, 1.484753e+00, 7.345326e-01, 4.031235e-02, -2.999079e-01, -1.991128e+00
China	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.400000e+01, 5.054896e+01, 4.450136e+01, 5.838112e+01, 6.311888e+01, 6.396736e+01, 6.552500e+01, 6.727400e+01, 6.869000e+01, 7.042600e+01, 7.202800e+01, 7.296100e+01, 5.562635e+08, 6.374080e+08, 6.657700e+08, 7.545500e+08, 8.620300e+08, 9.434550e+08, 1.000281e+09, 1.084035e+09, 1.164970e+09, 1.230075e+09, 1.280400e+09, 1.318683e+09, 4.004486e+02, 5.759870e+02, 4.876740e+02, 6.127057e+02, 6.769001e+02, 7.412375e+02, 9.624214e+02, 1.378904e+03, 1.655784e+03, 2.289234e+03, 3.119281e+03, 4.959115e+03	-988.7649, 0.5307149, -3.190482, 0.7049042, -7.99627, 3.229916, 5.314101, 3.509007, 2.413073, 1.508499, 0.2709243, -0.6466499, -1.698224, -3.418798, -214.03, 31.73213, -7.493023, 3.826397, 6.003817, 4.291957, 3.289256, 2.477916, 1.333576, 0.5092358, -0.4491044, -2.076445, 2, 47.19048, 49.84406, 52.49763, 55.1512, 57.80478, 60.45835, 63.11193, 65.7655, 68.41908, 71.07265, 73.72622, 76.3798, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 44, 50.54896, 44.50136, 58.38112, 63.11888, 63.96736, 65.525, 67.274, 68.69, 70.426, 72.028, 72.961, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.400000e+01, 5.054896e+01, 4.450136e+01, 5.838112e+01, 6.311888e+01, 6.396736e+01, 6.552500e+01, 6.727400e+01, 6.869000e+01, 7.042600e+01, 7.202800e+01, 7.296100e+01, 5.562635e+08, 6.374080e+08, 6.657700e+08, 7.545500e+08, 8.620300e+08, 9.434550e+08, 1.000281e+09, 1.084035e+09, 1.164970e+09, 1.230075e+09, 1.280400e+09, 1.318683e+09, 4.004486e+02, 5.759870e+02, 4.876740e+02, 6.127057e+02, 6.769001e+02, 7.412375e+02, 9.624214e+02, 1.378904e+03, 1.655784e+03, 2.289234e+03, 3.119281e+03, 4.959115e+03, -3.190482e+00, 7.049042e-01, -7.996270e+00, 3.229916e+00, 5.314101e+00, 3.509007e+00, 2.413073e+00, 1.508499e+00, 2.709243e-01, -6.466499e-01, -1.698224e+00, -3.418798e+00
Colombia	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 50.643, 55.118, 57.863, 59.963, 61.623, 63.837, 66.653, 67.768, 68.421, 70.313, 71.682, 72.889, 12350771.000, 14485993.000, 17009885.000, 19764027.000, 22542890.000, 25094412.000, 27764644.000, 30964245.000, 34202721.000, 37657830.000, 41008227.000, 44227550.000, 2144.115, 2323.806, 2492.351, 2678.730, 3264.660, 3815.808, 4397.576, 4903.219, 5444.649, 6117.362, 5755.260, 7006.580	-689.7976, 0.3807503, -2.784115, -0.2128671, 0.6283811, 0.8246294, 0.5808776, 0.8911259, 1.803374, 1.014622, -0.2361294, -0.2478811, -0.7826329, -1.479385, -221.3483, 22.76556, 1.19086, 1.414088, 1.197316, 1.534544, 2.473772, 1.712, 0.4882283, 0.5034563, -0.004315592, -0.6740875, 2, 53.42712, 55.33087, 57.23462, 59.13837, 61.04212, 62.94587, 64.84963, 66.75338, 68.65713, 70.56088, 72.46463, 74.36838, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 50.643, 55.118, 57.863, 59.963, 61.623, 63.837, 66.653, 67.768, 68.421, 70.313, 71.682, 72.889, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.064300e+01, 5.511800e+01, 5.786300e+01, 5.996300e+01, 6.162300e+01, 6.383700e+01, 6.665300e+01, 6.776800e+01, 6.842100e+01, 7.031300e+01, 7.168200e+01, 7.288900e+01, 1.235077e+07, 1.448599e+07, 1.700988e+07, 1.976403e+07, 2.254289e+07, 2.509441e+07, 2.776464e+07, 3.096424e+07, 3.420272e+07, 3.765783e+07, 4.100823e+07, 4.422755e+07, 2.144115e+03, 2.323806e+03, 2.492351e+03, 2.678730e+03, 3.264660e+03, 3.815808e+03, 4.397576e+03, 4.903219e+03, 5.444649e+03, 6.117362e+03, 5.755260e+03, 7.006580e+03, -2.784115e+00, -2.128671e-01, 6.283811e-01, 8.246294e-01, 5.808776e-01, 8.911259e-01, 1.803374e+00, 1.014622e+00, -2.361294e-01, -2.478811e-01, -7.826329e-01, -1.479385e+00
Comoros	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 40.7150, 42.4600, 44.4670, 46.4720, 48.9440, 50.9390, 52.9330, 54.9260, 57.9390, 60.6600, 62.9740, 65.1520, 153936.0000, 170928.0000, 191689.0000, 217378.0000, 250027.0000, 304739.0000, 348643.0000, 395114.0000, 454429.0000, 527982.0000, 614382.0000, 710960.0000, 1102.9909, 1211.1485, 1406.6483, 1876.0296, 1937.5777, 1172.6030, 1267.1001, 1315.9808, 1246.9074, 1173.6182, 1075.8116, 986.1479	-839.1671, 0.4503909, 0.719, 0.2120455, -0.03290909, -0.2798636, -0.05981818, -0.3167727, -0.5747273, -0.8336818, -0.07263636, 0.3964091, 0.4584545, 0.3845, -181.4557, 26.92946, -0.2015656, -0.4451718, -0.221778, -0.4753842, -0.7299904, -0.9855966, -0.2212028, 0.2511911, 0.3165849, 0.2459787, 2, 39.996, 42.24795, 44.49991, 46.75186, 49.00382, 51.25577, 53.50773, 55.75968, 58.01164, 60.26359, 62.51555, 64.7675, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 40.715, 42.46, 44.467, 46.472, 48.944, 50.939, 52.933, 54.926, 57.939, 60.66, 62.974, 65.152, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.071500e+01, 4.246000e+01, 4.446700e+01, 4.647200e+01, 4.894400e+01, 5.093900e+01, 5.293300e+01, 5.492600e+01, 5.793900e+01, 6.066000e+01, 6.297400e+01, 6.515200e+01, 1.539360e+05, 1.709280e+05, 1.916890e+05, 2.173780e+05, 2.500270e+05, 3.047390e+05, 3.486430e+05, 3.951140e+05, 4.544290e+05, 5.279820e+05, 6.143820e+05, 7.109600e+05, 1.102991e+03, 1.211149e+03, 1.406648e+03, 1.876030e+03, 1.937578e+03, 1.172603e+03, 1.267100e+03, 1.315981e+03, 1.246907e+03, 1.173618e+03, 1.075812e+03, 9.861479e+02, 7.190000e-01, 2.120455e-01, -3.290909e-02, -2.798636e-01, -5.981818e-02, -3.167727e-01, -5.747273e-01, -8.336818e-01, -7.263636e-02, 3.964091e-01, 4.584545e-01, 3.845000e-01
Congo, Dem. Rep.	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.914300e+01, 4.065200e+01, 4.212200e+01, 4.405600e+01, 4.598900e+01, 4.780400e+01, 4.778400e+01, 4.741200e+01, 4.554800e+01, 4.258700e+01, 4.496600e+01, 4.646200e+01, 1.410000e+07, 1.557793e+07, 1.748643e+07, 1.994107e+07, 2.300767e+07, 2.648087e+07, 3.064650e+07, 3.548164e+07, 4.167214e+07, 4.779899e+07, 5.537985e+07, 6.460676e+07, 7.805423e+02, 9.058602e+02, 8.963146e+02, 8.615932e+02, 9.048961e+02, 7.957573e+02, 6.737478e+02, 6.727748e+02, 4.577192e+02, 3.121884e+02, 2.411659e+02, 2.775519e+02	-141.3618, 0.09391538, -2.818077, -1.778654, -0.7782308, 0.6861923, 2.149615, 3.495038, 3.005462, 2.163885, -0.1696923, -3.600269, -1.690846, -0.6644231, -154.3041, 5.615323, 0.02394693, 1.413015, 2.801082, 4.07115, 3.506217, 2.589285, 0.1803524, -3.32558, -1.491512, -0.5404448, 2, 41.96108, 42.43065, 42.90023, 43.36981, 43.83938, 44.30896, 44.77854, 45.24812, 45.71769, 46.18727, 46.65685, 47.12642, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 39.143, 40.652, 42.122, 44.056, 45.989, 47.804, 47.784, 47.412, 45.548, 42.587, 44.966, 46.462, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.914300e+01, 4.065200e+01, 4.212200e+01, 4.405600e+01, 4.598900e+01, 4.780400e+01, 4.778400e+01, 4.741200e+01, 4.554800e+01, 4.258700e+01, 4.496600e+01, 4.646200e+01, 1.410000e+07, 1.557793e+07, 1.748643e+07, 1.994107e+07, 2.300767e+07, 2.648087e+07, 3.064650e+07, 3.548164e+07, 4.167214e+07, 4.779899e+07, 5.537985e+07, 6.460676e+07, 7.805423e+02, 9.058602e+02, 8.963146e+02, 8.615932e+02, 9.048961e+02, 7.957573e+02, 6.737478e+02, 6.727748e+02, 4.577192e+02, 3.121884e+02, 2.411659e+02, 2.775519e+02, -2.818077e+00, -1.778654e+00, -7.782308e-01, 6.861923e-01, 2.149615e+00, 3.495038e+00, 3.005462e+00, 2.163885e+00, -1.696923e-01, -3.600269e+00, -1.690846e+00, -6.644231e-01
Congo, Rep.	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.111, 45.053, 48.435, 52.040, 54.907, 55.625, 56.695, 57.470, 56.433, 52.962, 52.970, 55.322, 854885.000, 940458.000, 1047924.000, 1179760.000, 1340458.000, 1536769.000, 1774735.000, 2064095.000, 2409073.000, 2800947.000, 3328795.000, 3800610.000, 2125.621, 2315.057, 2464.783, 2677.940, 3213.153, 3259.179, 4879.508, 4201.195, 4016.240, 3484.164, 3484.062, 3632.558	-333.6902, 0.1950958, -5.025782, -3.059261, -0.6527401, 1.976781, 3.868302, 3.610823, 3.705344, 3.504865, 1.492386, -2.954093, -3.921572, -2.545051, -181.872, 11.66503, 0.761068, 3.263608, 5.028148, 4.643688, 4.611228, 4.283768, 2.144308, -2.429152, -3.523612, -2.274072, 2, 47.13678, 48.11226, 49.08774, 50.06322, 51.0387, 52.01418, 52.98966, 53.96514, 54.94061, 55.91609, 56.89157, 57.86705, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 42.111, 45.053, 48.435, 52.04, 54.907, 55.625, 56.695, 57.47, 56.433, 52.962, 52.97, 55.322, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.211100e+01, 4.505300e+01, 4.843500e+01, 5.204000e+01, 5.490700e+01, 5.562500e+01, 5.669500e+01, 5.747000e+01, 5.643300e+01, 5.296200e+01, 5.297000e+01, 5.532200e+01, 8.548850e+05, 9.404580e+05, 1.047924e+06, 1.179760e+06, 1.340458e+06, 1.536769e+06, 1.774735e+06, 2.064095e+06, 2.409073e+06, 2.800947e+06, 3.328795e+06, 3.800610e+06, 2.125621e+03, 2.315057e+03, 2.464783e+03, 2.677940e+03, 3.213153e+03, 3.259179e+03, 4.879508e+03, 4.201195e+03, 4.016240e+03, 3.484164e+03, 3.484062e+03, 3.632558e+03, -5.025782e+00, -3.059261e+00, -6.527401e-01, 1.976781e+00, 3.868302e+00, 3.610823e+00, 3.705344e+00, 3.504865e+00, 1.492386e+00, -2.954093e+00, -3.921572e+00, -2.545051e+00
Costa Rica	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 57.206, 60.026, 62.842, 65.424, 67.849, 70.750, 73.450, 74.752, 75.713, 77.260, 78.123, 78.782, 926317.000, 1112300.000, 1345187.000, 1588717.000, 1834796.000, 2108457.000, 2424367.000, 2799811.000, 3173216.000, 3518107.000, 3834934.000, 4133884.000, 2627.009, 2990.011, 3460.937, 4161.728, 5118.147, 5926.877, 5262.735, 5629.915, 6160.416, 6677.045, 7723.447, 9645.061	-727.1404, 0.4027895, -1.898705, -1.092653, -0.2906002, 0.2774522, 0.6885047, 1.575557, 2.26161, 1.549662, 0.4967145, 0.0297669, -1.121181, -2.476128, -243.1156, 24.08331, 0.2341256, 0.7583506, 1.125576, 1.968801, 2.611026, 1.855251, 0.7584759, 0.2477009, -0.947074, -2.345849, 2, 59.10471, 61.11865, 63.1326, 65.14655, 67.1605, 69.17444, 71.18839, 73.20234, 75.21629, 77.23023, 79.24418, 81.25813, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 57.206, 60.026, 62.842, 65.424, 67.849, 70.75, 73.45, 74.752, 75.713, 77.26, 78.123, 78.782, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.720600e+01, 6.002600e+01, 6.284200e+01, 6.542400e+01, 6.784900e+01, 7.075000e+01, 7.345000e+01, 7.475200e+01, 7.571300e+01, 7.726000e+01, 7.812300e+01, 7.878200e+01, 9.263170e+05, 1.112300e+06, 1.345187e+06, 1.588717e+06, 1.834796e+06, 2.108457e+06, 2.424367e+06, 2.799811e+06, 3.173216e+06, 3.518107e+06, 3.834934e+06, 4.133884e+06, 2.627009e+03, 2.990011e+03, 3.460937e+03, 4.161728e+03, 5.118147e+03, 5.926877e+03, 5.262735e+03, 5.629915e+03, 6.160416e+03, 6.677045e+03, 7.723447e+03, 9.645061e+03, -1.898705e+00, -1.092653e+00, -2.906002e-01, 2.774522e-01, 6.885047e-01, 1.575557e+00, 2.261610e+00, 1.549662e+00, 4.967145e-01, 2.976690e-02, -1.121181e+00, -2.476128e+00
⋮	⋮	⋮	⋮	⋮
Sierra Leone	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 30.3310, 31.5700, 32.7670, 34.1130, 35.4000, 36.7880, 38.4450, 40.0060, 38.3330, 39.8970, 41.0120, 42.5680, 2143249.0000, 2295678.0000, 2467895.0000, 2662190.0000, 2879013.0000, 3140897.0000, 3464522.0000, 3868905.0000, 4260884.0000, 4578212.0000, 5359092.0000, 6144562.0000, 879.7877, 1004.4844, 1116.6399, 1206.0435, 1353.7598, 1348.2852, 1465.0108, 1294.4478, 1068.6963, 574.6482, 699.4897, 862.5408	-386.913, 0.214035, -0.5522051, -0.38338, -0.2565548, 0.0192704, 0.2360956, 0.5539207, 1.140746, 1.631571, -1.111604, -0.6177786, -0.5729534, -0.08712821, -127.3721, 12.79743, -0.09417617, 0.1645941, 0.3643645, 0.6651348, 1.234905, 1.708675, -1.051554, -0.574784, -0.5470137, -0.07824335, 2, 30.88321, 31.95338, 33.02355, 34.09373, 35.1639, 36.23408, 37.30425, 38.37443, 39.4446, 40.51478, 41.58495, 42.65513, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 30.331, 31.57, 32.767, 34.113, 35.4, 36.788, 38.445, 40.006, 38.333, 39.897, 41.012, 42.568, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.033100e+01, 3.157000e+01, 3.276700e+01, 3.411300e+01, 3.540000e+01, 3.678800e+01, 3.844500e+01, 4.000600e+01, 3.833300e+01, 3.989700e+01, 4.101200e+01, 4.256800e+01, 2.143249e+06, 2.295678e+06, 2.467895e+06, 2.662190e+06, 2.879013e+06, 3.140897e+06, 3.464522e+06, 3.868905e+06, 4.260884e+06, 4.578212e+06, 5.359092e+06, 6.144562e+06, 8.797877e+02, 1.004484e+03, 1.116640e+03, 1.206043e+03, 1.353760e+03, 1.348285e+03, 1.465011e+03, 1.294448e+03, 1.068696e+03, 5.746482e+02, 6.994897e+02, 8.625408e+02, -5.522051e-01, -3.833800e-01, -2.565548e-01, 1.927040e-02, 2.360956e-01, 5.539207e-01, 1.140746e+00, 1.631571e+00, -1.111604e+00, -6.177786e-01, -5.729534e-01, -8.712821e-02
Singapore	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 60.396, 63.179, 65.798, 67.946, 69.521, 70.795, 71.760, 73.560, 75.788, 77.158, 78.770, 79.972, 1127000.000, 1445929.000, 1750200.000, 1977600.000, 2152400.000, 2325300.000, 2651869.000, 2794552.000, 3235865.000, 3802309.000, 4197776.000, 4553009.000, 2315.138, 2843.104, 3674.736, 4977.419, 8597.756, 11210.089, 15169.161, 18861.531, 24769.891, 33519.477, 36023.105, 47143.180	-603.5636, 0.340886, -1.449885, -0.3713147, 0.5432552, 0.9868252, 0.8573951, 0.426965, -0.312465, -0.2168951, 0.3066748, -0.02775524, -0.1201853, -0.6226154, -246.7142, 20.38202, 0.874973, 1.315487, 1.183001, 0.7495156, 0.007029838, 0.09954404, 0.6200582, 0.2825724, 0.1870867, -0.3183991, 2, 61.84588, 63.55031, 65.25474, 66.95917, 68.6636, 70.36803, 72.07247, 73.7769, 75.48133, 77.18576, 78.89019, 80.59462, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 60.396, 63.179, 65.798, 67.946, 69.521, 70.795, 71.76, 73.56, 75.788, 77.158, 78.77, 79.972, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 6.039600e+01, 6.317900e+01, 6.579800e+01, 6.794600e+01, 6.952100e+01, 7.079500e+01, 7.176000e+01, 7.356000e+01, 7.578800e+01, 7.715800e+01, 7.877000e+01, 7.997200e+01, 1.127000e+06, 1.445929e+06, 1.750200e+06, 1.977600e+06, 2.152400e+06, 2.325300e+06, 2.651869e+06, 2.794552e+06, 3.235865e+06, 3.802309e+06, 4.197776e+06, 4.553009e+06, 2.315138e+03, 2.843104e+03, 3.674736e+03, 4.977419e+03, 8.597756e+03, 1.121009e+04, 1.516916e+04, 1.886153e+04, 2.476989e+04, 3.351948e+04, 3.602311e+04, 4.714318e+04, -1.449885e+00, -3.713147e-01, 5.432552e-01, 9.868252e-01, 8.573951e-01, 4.269650e-01, -3.124650e-01, -2.168951e-01, 3.066748e-01, -2.775524e-02, -1.201853e-01, -6.226154e-01
Slovak Republic	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 64.360, 67.450, 70.330, 70.980, 70.350, 70.450, 70.800, 71.080, 71.380, 72.710, 73.800, 74.663, 3558137.000, 3844277.000, 4237384.000, 4442238.000, 4593433.000, 4827803.000, 5048043.000, 5199318.000, 5302888.000, 5383010.000, 5410052.000, 5447502.000, 5074.659, 6093.263, 7481.108, 8412.902, 9674.168, 10922.664, 11348.546, 12037.268, 9498.468, 12126.231, 13638.778, 18678.314	-194.6441, 0.1340441, -2.649872, -0.2300921, 1.979688, 1.959467, 0.6592471, 0.08902681, -0.2311935, -0.6214138, -0.991634, -0.3318543, 0.08792541, 0.2807051, -244.8984, 8.014669, 2.519139, 2.522793, 1.246446, 0.7000992, 0.4037525, 0.03740576, -0.308941, 0.3747123, 0.8183656, 1.035019, 2, 67.00987, 67.68009, 68.35031, 69.02053, 69.69075, 70.36097, 71.03119, 71.70141, 72.37163, 73.04185, 73.71207, 74.38229, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 64.36, 67.45, 70.33, 70.98, 70.35, 70.45, 70.8, 71.08, 71.38, 72.71, 73.8, 74.663, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 6.436000e+01, 6.745000e+01, 7.033000e+01, 7.098000e+01, 7.035000e+01, 7.045000e+01, 7.080000e+01, 7.108000e+01, 7.138000e+01, 7.271000e+01, 7.380000e+01, 7.466300e+01, 3.558137e+06, 3.844277e+06, 4.237384e+06, 4.442238e+06, 4.593433e+06, 4.827803e+06, 5.048043e+06, 5.199318e+06, 5.302888e+06, 5.383010e+06, 5.410052e+06, 5.447502e+06, 5.074659e+03, 6.093263e+03, 7.481108e+03, 8.412902e+03, 9.674168e+03, 1.092266e+04, 1.134855e+04, 1.203727e+04, 9.498468e+03, 1.212623e+04, 1.363878e+04, 1.867831e+04, -2.649872e+00, -2.300921e-01, 1.979688e+00, 1.959467e+00, 6.592471e-01, 8.902681e-02, -2.311935e-01, -6.214138e-01, -9.916340e-01, -3.318543e-01, 8.792541e-02, 2.807051e-01
Slovenia	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 65.570, 67.850, 69.150, 69.180, 69.820, 70.970, 71.063, 72.250, 73.640, 75.130, 76.660, 77.926, 1489518.000, 1533070.000, 1582962.000, 1646912.000, 1694510.000, 1746919.000, 1861252.000, 1945870.000, 1999210.000, 2011612.000, 2011497.000, 2009245.000, 4215.042, 5862.277, 7402.303, 9405.489, 12383.486, 15277.030, 17866.722, 18678.535, 14214.717, 17161.107, 20660.019, 25768.258	-325.3361, 0.2005238, -0.5163462, 0.761035, 1.058416, 0.0857972, -0.2768217, -0.1294406, -1.039059, -0.8546783, -0.4672972, 0.02008392, 0.547465, 0.8108462, -248.0323, 11.98958, 1.043497, 0.128457, -0.1765835, 0.02837609, -0.8236644, -0.5817048, -0.1367453, 0.4082143, 0.9931738, 1.314133, 2, 66.08635, 67.08897, 68.09158, 69.0942, 70.09682, 71.09944, 72.10206, 73.10468, 74.1073, 75.10992, 76.11253, 77.11515, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 65.57, 67.85, 69.15, 69.18, 69.82, 70.97, 71.063, 72.25, 73.64, 75.13, 76.66, 77.926, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 6.557000e+01, 6.785000e+01, 6.915000e+01, 6.918000e+01, 6.982000e+01, 7.097000e+01, 7.106300e+01, 7.225000e+01, 7.364000e+01, 7.513000e+01, 7.666000e+01, 7.792600e+01, 1.489518e+06, 1.533070e+06, 1.582962e+06, 1.646912e+06, 1.694510e+06, 1.746919e+06, 1.861252e+06, 1.945870e+06, 1.999210e+06, 2.011612e+06, 2.011497e+06, 2.009245e+06, 4.215042e+03, 5.862277e+03, 7.402303e+03, 9.405489e+03, 1.238349e+04, 1.527703e+04, 1.786672e+04, 1.867853e+04, 1.421472e+04, 1.716111e+04, 2.066002e+04, 2.576826e+04, -5.163462e-01, 7.610350e-01, 1.058416e+00, 8.579720e-02, -2.768217e-01, -1.294406e-01, -1.039059e+00, -8.546783e-01, -4.672972e-01, 2.008392e-02, 5.474650e-01, 8.108462e-01
Somalia	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 32.9780, 34.9770, 36.9810, 38.9770, 40.9730, 41.9740, 42.9550, 44.5010, 39.6580, 43.7950, 45.9360, 48.1590, 2526994.0000, 2780415.0000, 3080153.0000, 3428839.0000, 3840161.0000, 4353666.0000, 5828892.0000, 6921858.0000, 6099799.0000, 6633514.0000, 7753310.0000, 9118773.0000, 1135.7498, 1258.1474, 1369.4883, 1284.7332, 1254.5761, 1450.9925, 1176.8070, 1093.2450, 926.9603, 930.5964, 882.0818, 926.1411	-413.4519, 0.2295734, -1.697397, -0.8462646, 0.009868298, 0.8580012, 1.706134, 1.559267, 1.3924, 1.790533, -4.200334, -1.211202, -0.2180688, 0.8570641, -141.9889, 13.72649, 0.4595166, 1.277042, 2.094568, 1.917094, 1.719619, 2.087145, -3.934329, -0.9758038, -0.01327816, 1.031247, 2, 34.6754, 35.82326, 36.97113, 38.119, 39.26687, 40.41473, 41.5626, 42.71047, 43.85833, 45.0062, 46.15407, 47.30194, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 32.978, 34.977, 36.981, 38.977, 40.973, 41.974, 42.955, 44.501, 39.658, 43.795, 45.936, 48.159, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.297800e+01, 3.497700e+01, 3.698100e+01, 3.897700e+01, 4.097300e+01, 4.197400e+01, 4.295500e+01, 4.450100e+01, 3.965800e+01, 4.379500e+01, 4.593600e+01, 4.815900e+01, 2.526994e+06, 2.780415e+06, 3.080153e+06, 3.428839e+06, 3.840161e+06, 4.353666e+06, 5.828892e+06, 6.921858e+06, 6.099799e+06, 6.633514e+06, 7.753310e+06, 9.118773e+06, 1.135750e+03, 1.258147e+03, 1.369488e+03, 1.284733e+03, 1.254576e+03, 1.450993e+03, 1.176807e+03, 1.093245e+03, 9.269603e+02, 9.305964e+02, 8.820818e+02, 9.261411e+02, -1.697397e+00, -8.462646e-01, 9.868298e-03, 8.580012e-01, 1.706134e+00, 1.559267e+00, 1.392400e+00, 1.790533e+00, -4.200334e+00, -1.211202e+00, -2.180688e-01, 8.570641e-01
South Africa	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 45.009, 47.985, 49.951, 51.927, 53.696, 55.527, 58.161, 60.834, 61.888, 60.236, 53.365, 49.339, 14264935.000, 16151549.000, 18356657.000, 20997321.000, 23935810.000, 27129932.000, 31140029.000, 35933379.000, 39964159.000, 42835005.000, 44433622.000, 43997828.000, 4725.296, 5487.104, 5768.730, 7114.478, 7765.963, 8028.651, 8568.266, 7825.823, 7225.069, 7479.188, 7710.946, 9269.658	-280.8579, 0.1691594, -4.332282, -2.202079, -1.081876, 0.04832634, 0.9715291, 1.956732, 3.744935, 5.572138, 5.78034, 3.282543, -4.434254, -9.306051, -187.0378, 10.11426, 0.07204319, 1.121359, 1.963674, 2.867989, 4.575305, 6.32162, 6.448936, 3.870251, -3.927433, -8.880118, 2, 49.34128, 50.18708, 51.03288, 51.87867, 52.72447, 53.57027, 54.41607, 55.26186, 56.10766, 56.95346, 57.79925, 58.64505, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 45.009, 47.985, 49.951, 51.927, 53.696, 55.527, 58.161, 60.834, 61.888, 60.236, 53.365, 49.339, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.500900e+01, 4.798500e+01, 4.995100e+01, 5.192700e+01, 5.369600e+01, 5.552700e+01, 5.816100e+01, 6.083400e+01, 6.188800e+01, 6.023600e+01, 5.336500e+01, 4.933900e+01, 1.426494e+07, 1.615155e+07, 1.835666e+07, 2.099732e+07, 2.393581e+07, 2.712993e+07, 3.114003e+07, 3.593338e+07, 3.996416e+07, 4.283500e+07, 4.443362e+07, 4.399783e+07, 4.725296e+03, 5.487104e+03, 5.768730e+03, 7.114478e+03, 7.765963e+03, 8.028651e+03, 8.568266e+03, 7.825823e+03, 7.225069e+03, 7.479188e+03, 7.710946e+03, 9.269658e+03, -4.332282e+00, -2.202079e+00, -1.081876e+00, 4.832634e-02, 9.715291e-01, 1.956732e+00, 3.744935e+00, 5.572138e+00, 5.780340e+00, 3.282543e+00, -4.434254e+00, -9.306051e+00
Spain	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 64.940, 66.660, 69.690, 71.440, 73.060, 74.390, 76.300, 76.900, 77.570, 78.770, 79.780, 80.941, 28549870.000, 29841614.000, 31158061.000, 32850275.000, 34513161.000, 36439000.000, 37983310.000, 38880702.000, 39549438.000, 39855442.000, 40152517.000, 40448191.000, 3834.035, 4564.802, 5693.844, 7993.512, 10638.751, 13236.921, 13926.170, 15764.983, 18603.065, 20445.299, 24835.472, 28821.064	-481.899, 0.2809308, -1.537821, -1.222474, 0.4028718, 0.7482179, 0.9635641, 0.8889103, 1.394256, 0.5896026, -0.1450513, -0.3497051, -0.744359, -0.9880128, -257.0482, 16.79722, 0.8781345, 1.165818, 1.323501, 1.191184, 1.638867, 0.7765504, -0.01576638, -0.2780832, -0.7304, -1.031717, 2, 66.47782, 67.88247, 69.28713, 70.69178, 72.09644, 73.50109, 74.90574, 76.3104, 77.71505, 79.11971, 80.52436, 81.92901, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 64.94, 66.66, 69.69, 71.44, 73.06, 74.39, 76.3, 76.9, 77.57, 78.77, 79.78, 80.941, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 6.494000e+01, 6.666000e+01, 6.969000e+01, 7.144000e+01, 7.306000e+01, 7.439000e+01, 7.630000e+01, 7.690000e+01, 7.757000e+01, 7.877000e+01, 7.978000e+01, 8.094100e+01, 2.854987e+07, 2.984161e+07, 3.115806e+07, 3.285028e+07, 3.451316e+07, 3.643900e+07, 3.798331e+07, 3.888070e+07, 3.954944e+07, 3.985544e+07, 4.015252e+07, 4.044819e+07, 3.834035e+03, 4.564802e+03, 5.693844e+03, 7.993512e+03, 1.063875e+04, 1.323692e+04, 1.392617e+04, 1.576498e+04, 1.860306e+04, 2.044530e+04, 2.483547e+04, 2.882106e+04, -1.537821e+00, -1.222474e+00, 4.028718e-01, 7.482179e-01, 9.635641e-01, 8.889103e-01, 1.394256e+00, 5.896026e-01, -1.450513e-01, -3.497051e-01, -7.443590e-01, -9.880128e-01
Sri Lanka	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 57.593, 61.456, 62.192, 64.266, 65.042, 65.949, 68.757, 69.011, 70.379, 70.457, 70.815, 72.396, 7982342.000, 9128546.000, 10421936.000, 11737396.000, 13016733.000, 14116836.000, 15410151.000, 16495304.000, 17587060.000, 18698655.000, 19576783.000, 20378239.000, 1083.532, 1072.547, 1074.472, 1135.514, 1213.396, 1348.776, 1648.080, 1876.767, 2153.739, 2664.477, 3015.379, 3970.095	-418.2424, 0.2448944, -2.198487, 0.4400408, -0.04843124, 0.8010967, 0.3526247, 0.03515268, 1.618681, 0.6482086, 0.7917366, -0.3547354, -1.221207, -0.8646795, -230.4531, 14.64256, 0.3051507, 1.215923, 0.8286957, 0.5724682, 2.217241, 1.308013, 1.512786, 0.4275583, -0.3776692, 0.04010331, 2, 59.79149, 61.01596, 62.24043, 63.4649, 64.68938, 65.91385, 67.13832, 68.36279, 69.58726, 70.81174, 72.03621, 73.26068, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 57.593, 61.456, 62.192, 64.266, 65.042, 65.949, 68.757, 69.011, 70.379, 70.457, 70.815, 72.396, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.759300e+01, 6.145600e+01, 6.219200e+01, 6.426600e+01, 6.504200e+01, 6.594900e+01, 6.875700e+01, 6.901100e+01, 7.037900e+01, 7.045700e+01, 7.081500e+01, 7.239600e+01, 7.982342e+06, 9.128546e+06, 1.042194e+07, 1.173740e+07, 1.301673e+07, 1.411684e+07, 1.541015e+07, 1.649530e+07, 1.758706e+07, 1.869866e+07, 1.957678e+07, 2.037824e+07, 1.083532e+03, 1.072547e+03, 1.074472e+03, 1.135514e+03, 1.213396e+03, 1.348776e+03, 1.648080e+03, 1.876767e+03, 2.153739e+03, 2.664477e+03, 3.015379e+03, 3.970095e+03, -2.198487e+00, 4.400408e-01, -4.843124e-02, 8.010967e-01, 3.526247e-01, 3.515268e-02, 1.618681e+00, 6.482086e-01, 7.917366e-01, -3.547354e-01, -1.221207e+00, -8.646795e-01
Sudan	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 38.635, 39.624, 40.870, 42.858, 45.083, 47.800, 50.338, 51.744, 53.556, 55.373, 56.369, 58.556, 8504667.000, 9753392.000, 11183227.000, 12716129.000, 14597019.000, 17104986.000, 20367053.000, 24725960.000, 28227588.000, 32160729.000, 37090298.000, 42292929.000, 1615.991, 1770.337, 1959.594, 1687.998, 1659.653, 2202.988, 1895.544, 1507.819, 1492.197, 1632.211, 1993.398, 2602.395	-709.3023, 0.3827748, 0.7608077, -0.1640664, -0.8319406, -0.7578147, -0.4466888, 0.3564371, 0.9805629, 0.4726888, 0.3708147, 0.2739406, -0.6439336, -0.3708077, -167.6643, 22.88661, -0.9525455, -0.9003879, -0.6112304, 0.1699272, 0.7720847, 0.2422423, 0.1183998, -0.0004426394, -0.9402851, -0.6891275, 2, 37.87419, 39.78807, 41.70194, 43.61581, 45.52969, 47.44356, 49.35744, 51.27131, 53.18519, 55.09906, 57.01293, 58.92681, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 38.635, 39.624, 40.87, 42.858, 45.083, 47.8, 50.338, 51.744, 53.556, 55.373, 56.369, 58.556, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.863500e+01, 3.962400e+01, 4.087000e+01, 4.285800e+01, 4.508300e+01, 4.780000e+01, 5.033800e+01, 5.174400e+01, 5.355600e+01, 5.537300e+01, 5.636900e+01, 5.855600e+01, 8.504667e+06, 9.753392e+06, 1.118323e+07, 1.271613e+07, 1.459702e+07, 1.710499e+07, 2.036705e+07, 2.472596e+07, 2.822759e+07, 3.216073e+07, 3.709030e+07, 4.229293e+07, 1.615991e+03, 1.770337e+03, 1.959594e+03, 1.687998e+03, 1.659653e+03, 2.202988e+03, 1.895544e+03, 1.507819e+03, 1.492197e+03, 1.632211e+03, 1.993398e+03, 2.602395e+03, 7.608077e-01, -1.640664e-01, -8.319406e-01, -7.578147e-01, -4.466888e-01, 3.564371e-01, 9.805629e-01, 4.726888e-01, 3.708147e-01, 2.739406e-01, -6.439336e-01, -3.708077e-01
Swaziland	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 41.407, 43.424, 44.992, 46.633, 49.552, 52.537, 55.561, 57.678, 58.474, 54.289, 43.869, 39.613, 290243.000, 326741.000, 370006.000, 420690.000, 480105.000, 551425.000, 649901.000, 779348.000, 962344.000, 1054486.000, 1130269.000, 1133066.000, 1148.377, 1244.708, 1856.182, 2613.102, 3364.837, 3781.411, 3895.384, 3984.840, 3553.022, 3876.768, 4128.117, 4513.481	-139.1982, 0.09507483, -4.980859, -3.439233, -2.346607, -1.180981, 1.262645, 3.77227, 6.320896, 7.962522, 8.283148, 3.622774, -7.2726, -12.00397, -169.7494, 5.684648, -0.8847665, 0.1282624, 2.419291, 4.77632, 7.172349, 8.661378, 8.829407, 4.016435, -7.031536, -11.91551, 2, 46.38786, 46.86323, 47.33861, 47.81398, 48.28936, 48.76473, 49.2401, 49.71548, 50.19085, 50.66623, 51.1416, 51.61697, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 41.407, 43.424, 44.992, 46.633, 49.552, 52.537, 55.561, 57.678, 58.474, 54.289, 43.869, 39.613, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.140700e+01, 4.342400e+01, 4.499200e+01, 4.663300e+01, 4.955200e+01, 5.253700e+01, 5.556100e+01, 5.767800e+01, 5.847400e+01, 5.428900e+01, 4.386900e+01, 3.961300e+01, 2.902430e+05, 3.267410e+05, 3.700060e+05, 4.206900e+05, 4.801050e+05, 5.514250e+05, 6.499010e+05, 7.793480e+05, 9.623440e+05, 1.054486e+06, 1.130269e+06, 1.133066e+06, 1.148377e+03, 1.244708e+03, 1.856182e+03, 2.613102e+03, 3.364837e+03, 3.781411e+03, 3.895384e+03, 3.984840e+03, 3.553022e+03, 3.876768e+03, 4.128117e+03, 4.513481e+03, -4.980859e+00, -3.439233e+00, -2.346607e+00, -1.180981e+00, 1.262645e+00, 3.772270e+00, 6.320896e+00, 7.962522e+00, 8.283148e+00, 3.622774e+00, -7.272600e+00, -1.200397e+01
Sweden	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 71.860, 72.490, 73.370, 74.160, 74.720, 75.440, 76.420, 77.190, 78.160, 79.390, 80.040, 80.884, 7124673.000, 7363802.000, 7561588.000, 7867931.000, 8122293.000, 8251648.000, 8325260.000, 8421403.000, 8718867.000, 8897619.000, 8954175.000, 9031088.000, 8527.845, 9911.878, 12329.442, 15258.297, 17832.025, 18855.725, 20667.381, 23586.929, 23880.017, 25266.595, 29341.631, 33859.748	-252.9239, 0.1662545, 0.255, 0.05372727, 0.1024545, 0.06118182, -0.2100909, -0.3213636, -0.1726364, -0.2339091, -0.09518182, 0.3035455, 0.1222727, 0.135, -263.8849, 9.940576, 0.04583789, 0.004342185, -0.2671535, -0.3786492, -0.2301449, -0.2916406, -0.1531363, 0.245368, 0.06387226, 0.07637656, 2, 71.605, 72.43627, 73.26755, 74.09882, 74.93009, 75.76136, 76.59264, 77.42391, 78.25518, 79.08645, 79.91773, 80.749, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 71.86, 72.49, 73.37, 74.16, 74.72, 75.44, 76.42, 77.19, 78.16, 79.39, 80.04, 80.884, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 7.186000e+01, 7.249000e+01, 7.337000e+01, 7.416000e+01, 7.472000e+01, 7.544000e+01, 7.642000e+01, 7.719000e+01, 7.816000e+01, 7.939000e+01, 8.004000e+01, 8.088400e+01, 7.124673e+06, 7.363802e+06, 7.561588e+06, 7.867931e+06, 8.122293e+06, 8.251648e+06, 8.325260e+06, 8.421403e+06, 8.718867e+06, 8.897619e+06, 8.954175e+06, 9.031088e+06, 8.527845e+03, 9.911878e+03, 1.232944e+04, 1.525830e+04, 1.783202e+04, 1.885573e+04, 2.066738e+04, 2.358693e+04, 2.388002e+04, 2.526659e+04, 2.934163e+04, 3.385975e+04, 2.550000e-01, 5.372727e-02, 1.024545e-01, 6.118182e-02, -2.100909e-01, -3.213636e-01, -1.726364e-01, -2.339091e-01, -9.518182e-02, 3.035455e-01, 1.222727e-01, 1.350000e-01
Switzerland	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 69.620, 70.560, 71.320, 72.770, 73.780, 75.390, 76.210, 77.410, 78.030, 79.370, 80.620, 81.701, 4815000.000, 5126000.000, 5666000.000, 6063000.000, 6401400.000, 6316424.000, 6468126.000, 6649942.000, 6995447.000, 7193761.000, 7361757.000, 7554661.000, 14734.233, 17909.490, 20431.093, 22966.144, 27195.113, 26982.291, 28397.715, 30281.705, 31871.530, 32135.323, 34480.958, 37506.419	-364.3421, 0.2222315, 0.1662821, -0.004875291, -0.3560326, -0.01718998, -0.1183473, 0.3804953, 0.089338, 0.1781807, -0.3129767, -0.08413403, 0.05470862, 0.02455128, -261.7651, 13.28751, -0.387007, -0.05093085, -0.1548547, 0.3412214, 0.04729748, 0.1333736, -0.3605503, -0.1344742, 0.001601928, -0.03132196, 2, 69.45372, 70.56488, 71.67603, 72.78719, 73.89835, 75.0095, 76.12066, 77.23182, 78.34298, 79.45413, 80.56529, 81.67645, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 69.62, 70.56, 71.32, 72.77, 73.78, 75.39, 76.21, 77.41, 78.03, 79.37, 80.62, 81.701, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 6.962000e+01, 7.056000e+01, 7.132000e+01, 7.277000e+01, 7.378000e+01, 7.539000e+01, 7.621000e+01, 7.741000e+01, 7.803000e+01, 7.937000e+01, 8.062000e+01, 8.170100e+01, 4.815000e+06, 5.126000e+06, 5.666000e+06, 6.063000e+06, 6.401400e+06, 6.316424e+06, 6.468126e+06, 6.649942e+06, 6.995447e+06, 7.193761e+06, 7.361757e+06, 7.554661e+06, 1.473423e+04, 1.790949e+04, 2.043109e+04, 2.296614e+04, 2.719511e+04, 2.698229e+04, 2.839772e+04, 3.028170e+04, 3.187153e+04, 3.213532e+04, 3.448096e+04, 3.750642e+04, 1.662821e-01, -4.875291e-03, -3.560326e-01, -1.718998e-02, -1.183473e-01, 3.804953e-01, 8.933800e-02, 1.781807e-01, -3.129767e-01, -8.413403e-02, 5.470862e-02, 2.455128e-02
Syria	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 45.883, 48.284, 50.305, 53.655, 57.296, 61.195, 64.590, 66.974, 69.249, 71.527, 73.053, 74.143, 3661549.000, 4149908.000, 4834621.000, 5680812.000, 6701172.000, 7932503.000, 9410494.000, 11242847.000, 13219062.000, 15081016.000, 17155814.000, 19314747.000, 1643.485, 2117.235, 2193.037, 1881.924, 2571.423, 3195.485, 3761.838, 3116.774, 3340.543, 4014.239, 4090.925, 4184.548	-1036.008, 0.5543594, -0.2182821, -0.5890793, -1.339876, -0.7616737, 0.1075291, 1.234732, 1.857935, 1.470138, 0.9733403, 0.4795431, -0.7662541, -2.448051, -212.5094, 33.14587, -1.210519, -0.6677933, 0.1659324, 1.257658, 1.845384, 1.422109, 0.8898351, 0.3605608, -0.9207135, -2.637988, 2, 46.10128, 48.87308, 51.64488, 54.41667, 57.18847, 59.96027, 62.73207, 65.50386, 68.27566, 71.04746, 73.81925, 76.59105, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 45.883, 48.284, 50.305, 53.655, 57.296, 61.195, 64.59, 66.974, 69.249, 71.527, 73.053, 74.143, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.588300e+01, 4.828400e+01, 5.030500e+01, 5.365500e+01, 5.729600e+01, 6.119500e+01, 6.459000e+01, 6.697400e+01, 6.924900e+01, 7.152700e+01, 7.305300e+01, 7.414300e+01, 3.661549e+06, 4.149908e+06, 4.834621e+06, 5.680812e+06, 6.701172e+06, 7.932503e+06, 9.410494e+06, 1.124285e+07, 1.321906e+07, 1.508102e+07, 1.715581e+07, 1.931475e+07, 1.643485e+03, 2.117235e+03, 2.193037e+03, 1.881924e+03, 2.571423e+03, 3.195485e+03, 3.761838e+03, 3.116774e+03, 3.340543e+03, 4.014239e+03, 4.090925e+03, 4.184548e+03, -2.182821e-01, -5.890793e-01, -1.339876e+00, -7.616737e-01, 1.075291e-01, 1.234732e+00, 1.857935e+00, 1.470138e+00, 9.733403e-01, 4.795431e-01, -7.662541e-01, -2.448051e+00
Taiwan	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 58.500, 62.400, 65.200, 67.500, 69.390, 70.590, 72.160, 73.400, 74.260, 75.250, 76.990, 78.400, 8550362.000, 10164215.000, 11918938.000, 13648692.000, 15226039.000, 16785196.000, 18501390.000, 19757799.000, 20686918.000, 21628605.000, 22454239.000, 23174294.000, 1206.948, 1507.861, 1822.879, 2643.859, 4062.524, 5596.520, 7426.355, 11054.562, 15215.658, 20206.821, 23235.423, 28718.277	-577.4443, 0.3272448, -2.837436, -0.5736597, 0.5901166, 1.253893, 1.507669, 1.071445, 1.005221, 0.6089977, -0.1672261, -0.8134499, -0.7096737, -0.9358974, -243.6534, 19.56639, 1.216501, 1.884346, 2.142191, 1.710036, 1.647881, 1.255726, 0.4835707, -0.1585843, -0.05073932, -0.2728943, 2, 61.33744, 62.97366, 64.60988, 66.24611, 67.88233, 69.51855, 71.15478, 72.791, 74.42723, 76.06345, 77.69967, 79.3359, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 58.5, 62.4, 65.2, 67.5, 69.39, 70.59, 72.16, 73.4, 74.26, 75.25, 76.99, 78.4, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.850000e+01, 6.240000e+01, 6.520000e+01, 6.750000e+01, 6.939000e+01, 7.059000e+01, 7.216000e+01, 7.340000e+01, 7.426000e+01, 7.525000e+01, 7.699000e+01, 7.840000e+01, 8.550362e+06, 1.016422e+07, 1.191894e+07, 1.364869e+07, 1.522604e+07, 1.678520e+07, 1.850139e+07, 1.975780e+07, 2.068692e+07, 2.162860e+07, 2.245424e+07, 2.317429e+07, 1.206948e+03, 1.507861e+03, 1.822879e+03, 2.643859e+03, 4.062524e+03, 5.596520e+03, 7.426355e+03, 1.105456e+04, 1.521566e+04, 2.020682e+04, 2.323542e+04, 2.871828e+04, -2.837436e+00, -5.736597e-01, 5.901166e-01, 1.253893e+00, 1.507669e+00, 1.071445e+00, 1.005221e+00, 6.089977e-01, -1.672261e-01, -8.134499e-01, -7.096737e-01, -9.358974e-01
Tanzania	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.121500e+01, 4.297400e+01, 4.424600e+01, 4.575700e+01, 4.762000e+01, 4.991900e+01, 5.060800e+01, 5.153500e+01, 5.044000e+01, 4.846600e+01, 4.965100e+01, 5.251700e+01, 8.322925e+06, 9.452826e+06, 1.086396e+07, 1.260731e+07, 1.470659e+07, 1.712956e+07, 1.984438e+07, 2.304063e+07, 2.660547e+07, 3.068689e+07, 3.459378e+07, 3.813964e+07, 7.166501e+02, 6.985356e+02, 7.220038e+02, 8.482187e+02, 9.159851e+02, 9.624923e+02, 8.742426e+02, 8.318221e+02, 8.256825e+02, 7.891862e+02, 8.990742e+02, 1.107482e+03	-297.8828, 0.1746881, -1.89341, -1.007851, -0.6092914, 0.02826807, 1.017828, 2.443387, 2.258946, 2.312506, 0.3440653, -2.503375, -2.191816, -0.1992564, -165.9732, 10.44483, -0.09820627, 0.5010173, 1.452241, 2.839465, 2.616688, 2.631912, 0.6251354, -2.260641, -1.987417, -0.03319379, 2, 43.10841, 43.98185, 44.85529, 45.72873, 46.60217, 47.47561, 48.34905, 49.22249, 50.09593, 50.96938, 51.84282, 52.71626, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 41.215, 42.974, 44.246, 45.757, 47.62, 49.919, 50.608, 51.535, 50.44, 48.466, 49.651, 52.517, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.121500e+01, 4.297400e+01, 4.424600e+01, 4.575700e+01, 4.762000e+01, 4.991900e+01, 5.060800e+01, 5.153500e+01, 5.044000e+01, 4.846600e+01, 4.965100e+01, 5.251700e+01, 8.322925e+06, 9.452826e+06, 1.086396e+07, 1.260731e+07, 1.470659e+07, 1.712956e+07, 1.984438e+07, 2.304063e+07, 2.660547e+07, 3.068689e+07, 3.459378e+07, 3.813964e+07, 7.166501e+02, 6.985356e+02, 7.220038e+02, 8.482187e+02, 9.159851e+02, 9.624923e+02, 8.742426e+02, 8.318221e+02, 8.256825e+02, 7.891862e+02, 8.990742e+02, 1.107482e+03, -1.893410e+00, -1.007851e+00, -6.092914e-01, 2.826807e-02, 1.017828e+00, 2.443387e+00, 2.258946e+00, 2.312506e+00, 3.440653e-01, -2.503375e+00, -2.191816e+00, -1.992564e-01
Thailand	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.084800e+01, 5.363000e+01, 5.606100e+01, 5.828500e+01, 6.040500e+01, 6.249400e+01, 6.459700e+01, 6.608400e+01, 6.729800e+01, 6.752100e+01, 6.856400e+01, 7.061600e+01, 2.128940e+07, 2.504192e+07, 2.926340e+07, 3.402425e+07, 3.927615e+07, 4.414828e+07, 4.882716e+07, 5.291034e+07, 5.666710e+07, 6.021668e+07, 6.280675e+07, 6.506815e+07, 7.577974e+02, 7.935774e+02, 1.002199e+03, 1.295461e+03, 1.524359e+03, 1.961225e+03, 2.393220e+03, 2.982654e+03, 4.616897e+03, 5.852625e+03, 5.913188e+03, 7.458396e+03	-624.7818, 0.3470483, -1.808423, -0.7616643, -0.06590559, 0.4228531, 0.8076119, 1.161371, 1.529129, 1.280888, 0.7596469, -0.7525944, -1.444836, -1.128077, -215.468, 20.75047, 0.3923077, 0.8576489, 1.21899, 1.549331, 1.893672, 1.622014, 1.077355, -0.4583041, -1.173963, -0.8806217, 2, 52.65642, 54.39166, 56.12691, 57.86215, 59.59739, 61.33263, 63.06787, 64.80311, 66.53835, 68.27359, 70.00884, 71.74408, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 50.848, 53.63, 56.061, 58.285, 60.405, 62.494, 64.597, 66.084, 67.298, 67.521, 68.564, 70.616, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.084800e+01, 5.363000e+01, 5.606100e+01, 5.828500e+01, 6.040500e+01, 6.249400e+01, 6.459700e+01, 6.608400e+01, 6.729800e+01, 6.752100e+01, 6.856400e+01, 7.061600e+01, 2.128940e+07, 2.504192e+07, 2.926340e+07, 3.402425e+07, 3.927615e+07, 4.414828e+07, 4.882716e+07, 5.291034e+07, 5.666710e+07, 6.021668e+07, 6.280675e+07, 6.506815e+07, 7.577974e+02, 7.935774e+02, 1.002199e+03, 1.295461e+03, 1.524359e+03, 1.961225e+03, 2.393220e+03, 2.982654e+03, 4.616897e+03, 5.852625e+03, 5.913188e+03, 7.458396e+03, -1.808423e+00, -7.616643e-01, -6.590559e-02, 4.228531e-01, 8.076119e-01, 1.161371e+00, 1.529129e+00, 1.280888e+00, 7.596469e-01, -7.525944e-01, -1.444836e+00, -1.128077e+00
Togo	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 38.5960, 41.2080, 43.9220, 46.7690, 49.7590, 52.8870, 55.4710, 56.9410, 58.0610, 58.3900, 57.5610, 58.4200, 1219113.0000, 1357445.0000, 1528098.0000, 1735550.0000, 2056351.0000, 2308582.0000, 2644765.0000, 3154264.0000, 3747553.0000, 4320890.0000, 4977378.0000, 5701579.0000, 859.8087, 925.9083, 1067.5348, 1477.5968, 1649.6602, 1532.7770, 1344.5780, 1202.2014, 1034.2989, 982.2869, 886.2206, 882.9699	-705.8427, 0.3825923, -2.381462, -1.682423, -0.8813846, 0.05265385, 1.129692, 2.344731, 3.015769, 2.572808, 1.779846, 0.1958846, -2.546077, -3.600038, -178.3969, 22.87569, -0.1767782, 0.6818013, 1.683381, 2.82296, 3.41854, 2.900119, 2.031699, 0.3722785, -2.445142, -3.574563, 2, 40.97746, 42.89042, 44.80338, 46.71635, 48.62931, 50.54227, 52.45523, 54.36819, 56.28115, 58.19412, 60.10708, 62.02004, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 38.596, 41.208, 43.922, 46.769, 49.759, 52.887, 55.471, 56.941, 58.061, 58.39, 57.561, 58.42, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.859600e+01, 4.120800e+01, 4.392200e+01, 4.676900e+01, 4.975900e+01, 5.288700e+01, 5.547100e+01, 5.694100e+01, 5.806100e+01, 5.839000e+01, 5.756100e+01, 5.842000e+01, 1.219113e+06, 1.357445e+06, 1.528098e+06, 1.735550e+06, 2.056351e+06, 2.308582e+06, 2.644765e+06, 3.154264e+06, 3.747553e+06, 4.320890e+06, 4.977378e+06, 5.701579e+06, 8.598087e+02, 9.259083e+02, 1.067535e+03, 1.477597e+03, 1.649660e+03, 1.532777e+03, 1.344578e+03, 1.202201e+03, 1.034299e+03, 9.822869e+02, 8.862206e+02, 8.829699e+02, -2.381462e+00, -1.682423e+00, -8.813846e-01, 5.265385e-02, 1.129692e+00, 2.344731e+00, 3.015769e+00, 2.572808e+00, 1.779846e+00, 1.958846e-01, -2.546077e+00, -3.600038e+00
Trinidad and Tobago	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 59.100, 61.800, 64.900, 65.400, 65.900, 68.300, 68.832, 69.582, 69.862, 69.465, 68.976, 69.819, 662850.000, 764900.000, 887498.000, 960155.000, 975199.000, 1039009.000, 1116479.000, 1191336.000, 1183669.000, 1138101.000, 1101832.000, 1056608.000, 3023.272, 4100.393, 4997.524, 5621.368, 6619.551, 7899.554, 9119.529, 7388.598, 7370.991, 8792.573, 11460.600, 18008.509	-276.935, 0.1736615, -2.952308, -1.120615, 1.111077, 0.7427692, 0.3744615, 1.906154, 1.569846, 1.451538, 0.8632308, -0.4020769, -1.759385, -1.784692, -231.499, 10.38345, 1.84083, 1.442359, 1.043888, 2.545417, 2.178946, 2.030475, 1.412004, 0.1165335, -1.270937, -1.326408, 2, 62.05231, 62.92062, 63.78892, 64.65723, 65.52554, 66.39385, 67.26215, 68.13046, 68.99877, 69.86708, 70.73538, 71.60369, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 59.1, 61.8, 64.9, 65.4, 65.9, 68.3, 68.832, 69.582, 69.862, 69.465, 68.976, 69.819, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.910000e+01, 6.180000e+01, 6.490000e+01, 6.540000e+01, 6.590000e+01, 6.830000e+01, 6.883200e+01, 6.958200e+01, 6.986200e+01, 6.946500e+01, 6.897600e+01, 6.981900e+01, 6.628500e+05, 7.649000e+05, 8.874980e+05, 9.601550e+05, 9.751990e+05, 1.039009e+06, 1.116479e+06, 1.191336e+06, 1.183669e+06, 1.138101e+06, 1.101832e+06, 1.056608e+06, 3.023272e+03, 4.100393e+03, 4.997524e+03, 5.621368e+03, 6.619551e+03, 7.899554e+03, 9.119529e+03, 7.388598e+03, 7.370991e+03, 8.792573e+03, 1.146060e+04, 1.800851e+04, -2.952308e+00, -1.120615e+00, 1.111077e+00, 7.427692e-01, 3.744615e-01, 1.906154e+00, 1.569846e+00, 1.451538e+00, 8.632308e-01, -4.020769e-01, -1.759385e+00, -1.784692e+00
Tunisia	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 44.600, 47.100, 49.579, 52.053, 55.602, 59.837, 64.048, 66.894, 70.001, 71.973, 73.042, 73.923, 3647735.000, 3950849.000, 4286552.000, 4786986.000, 5303507.000, 6005061.000, 6734098.000, 7724976.000, 8523077.000, 9231669.000, 9770575.000, 10276158.000, 1468.476, 1395.232, 1660.303, 1932.360, 2753.286, 3120.877, 3560.233, 3810.419, 4332.720, 4876.799, 5722.896, 7092.923	-1102.915, 0.5878434, 0.04469231, -0.3945245, -0.8547413, -1.319958, -0.7101748, 0.5856084, 1.857392, 1.764175, 1.931958, 0.9647413, -0.9054755, -2.963692, -210.3437, 35.14792, -0.804497, -1.296282, -0.7130673, 0.5561475, 1.801362, 1.681577, 1.822792, 0.8290068, -1.067778, -3.152564, 2, 44.55531, 47.49452, 50.43374, 53.37296, 56.31217, 59.25139, 62.19061, 65.12983, 68.06904, 71.00826, 73.94748, 76.88669, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 44.6, 47.1, 49.579, 52.053, 55.602, 59.837, 64.048, 66.894, 70.001, 71.973, 73.042, 73.923, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.460000e+01, 4.710000e+01, 4.957900e+01, 5.205300e+01, 5.560200e+01, 5.983700e+01, 6.404800e+01, 6.689400e+01, 7.000100e+01, 7.197300e+01, 7.304200e+01, 7.392300e+01, 3.647735e+06, 3.950849e+06, 4.286552e+06, 4.786986e+06, 5.303507e+06, 6.005061e+06, 6.734098e+06, 7.724976e+06, 8.523077e+06, 9.231669e+06, 9.770575e+06, 1.027616e+07, 1.468476e+03, 1.395232e+03, 1.660303e+03, 1.932360e+03, 2.753286e+03, 3.120877e+03, 3.560233e+03, 3.810419e+03, 4.332720e+03, 4.876799e+03, 5.722896e+03, 7.092923e+03, 4.469231e-02, -3.945245e-01, -8.547413e-01, -1.319958e+00, -7.101748e-01, 5.856084e-01, 1.857392e+00, 1.764175e+00, 1.931958e+00, 9.647413e-01, -9.054755e-01, -2.963692e+00
Turkey	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.585, 48.079, 52.098, 54.336, 57.005, 59.507, 61.036, 63.108, 66.146, 68.835, 70.845, 71.777, 22235677.000, 25670939.000, 29788695.000, 33411317.000, 37492953.000, 42404033.000, 47328791.000, 52881328.000, 58179144.000, 63047647.000, 67308928.000, 71158647.000, 1969.101, 2218.754, 2322.870, 2826.356, 3450.696, 4269.122, 4241.356, 5089.044, 5678.348, 6601.430, 6508.086, 8458.276	-924.5899, 0.4972399, -2.437321, -0.4295198, 1.103281, 0.8550816, 1.037882, 1.053683, 0.09648368, -0.3177156, 0.2340851, 0.4368858, -0.03931352, -1.593513, -206.7945, 29.73062, 1.631916, 1.391366, 1.581815, 1.605265, 0.6557141, 0.2491636, 0.8086132, 1.019063, 0.5505122, -0.9960383, 2, 46.02232, 48.50852, 50.99472, 53.48092, 55.96712, 58.45332, 60.93952, 63.42572, 65.91191, 68.39811, 70.88431, 73.37051, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 43.585, 48.079, 52.098, 54.336, 57.005, 59.507, 61.036, 63.108, 66.146, 68.835, 70.845, 71.777, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.358500e+01, 4.807900e+01, 5.209800e+01, 5.433600e+01, 5.700500e+01, 5.950700e+01, 6.103600e+01, 6.310800e+01, 6.614600e+01, 6.883500e+01, 7.084500e+01, 7.177700e+01, 2.223568e+07, 2.567094e+07, 2.978870e+07, 3.341132e+07, 3.749295e+07, 4.240403e+07, 4.732879e+07, 5.288133e+07, 5.817914e+07, 6.304765e+07, 6.730893e+07, 7.115865e+07, 1.969101e+03, 2.218754e+03, 2.322870e+03, 2.826356e+03, 3.450696e+03, 4.269122e+03, 4.241356e+03, 5.089044e+03, 5.678348e+03, 6.601430e+03, 6.508086e+03, 8.458276e+03, -2.437321e+00, -4.295198e-01, 1.103281e+00, 8.550816e-01, 1.037882e+00, 1.053683e+00, 9.648368e-02, -3.177156e-01, 2.340851e-01, 4.368858e-01, -3.931352e-02, -1.593513e+00
Uganda	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.997800e+01, 4.257100e+01, 4.534400e+01, 4.805100e+01, 5.101600e+01, 5.035000e+01, 4.984900e+01, 5.150900e+01, 4.882500e+01, 4.457800e+01, 4.781300e+01, 5.154200e+01, 5.824797e+06, 6.675501e+06, 7.688797e+06, 8.900294e+06, 1.019028e+07, 1.145776e+07, 1.293940e+07, 1.528305e+07, 1.825219e+07, 2.121025e+07, 2.473987e+07, 2.917040e+07, 7.347535e+02, 7.743711e+02, 7.672717e+02, 9.089185e+02, 9.507359e+02, 8.437331e+02, 6.822662e+02, 6.177244e+02, 6.441708e+02, 8.165591e+02, 9.277210e+02, 1.056380e+03	-193.0607, 0.121586, -4.297218, -2.312148, -0.1470781, 1.951992, 4.309062, 3.035132, 1.926202, 2.978272, -0.3136585, -5.168589, -2.541519, 0.5795513, -164.9565, 7.269786, 1.016552, 3.026989, 5.295427, 3.932865, 2.735303, 3.698741, 0.3181784, -4.625384, -2.086946, 0.9454918, 2, 44.27522, 44.88315, 45.49108, 46.09901, 46.70694, 47.31487, 47.9228, 48.53073, 49.13866, 49.74659, 50.35452, 50.96245, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 39.978, 42.571, 45.344, 48.051, 51.016, 50.35, 49.849, 51.509, 48.825, 44.578, 47.813, 51.542, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.997800e+01, 4.257100e+01, 4.534400e+01, 4.805100e+01, 5.101600e+01, 5.035000e+01, 4.984900e+01, 5.150900e+01, 4.882500e+01, 4.457800e+01, 4.781300e+01, 5.154200e+01, 5.824797e+06, 6.675501e+06, 7.688797e+06, 8.900294e+06, 1.019028e+07, 1.145776e+07, 1.293940e+07, 1.528305e+07, 1.825219e+07, 2.121025e+07, 2.473987e+07, 2.917040e+07, 7.347535e+02, 7.743711e+02, 7.672717e+02, 9.089185e+02, 9.507359e+02, 8.437331e+02, 6.822662e+02, 6.177244e+02, 6.441708e+02, 8.165591e+02, 9.277210e+02, 1.056380e+03, -4.297218e+00, -2.312148e+00, -1.470781e-01, 1.951992e+00, 4.309062e+00, 3.035132e+00, 1.926202e+00, 2.978272e+00, -3.136585e-01, -5.168589e+00, -2.541519e+00, 5.795513e-01
United Kingdom	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 69.180, 70.420, 70.760, 71.360, 72.010, 72.760, 74.040, 75.007, 76.420, 77.218, 78.471, 79.425, 50430000.000, 51430000.000, 53292000.000, 54959000.000, 56079000.000, 56179000.000, 56339704.000, 56981620.000, 57866349.000, 58808266.000, 59912431.000, 60776238.000, 9979.508, 11283.178, 12477.177, 14142.851, 15895.116, 17428.748, 18232.425, 21664.788, 22705.093, 26074.531, 29478.999, 33203.261	-294.1966, 0.1859657, 0.3714744, 0.6816457, 0.09181702, -0.2380117, -0.5178403, -0.697669, -0.3474977, -0.3103263, 0.172845, 0.04101632, 0.3641876, 0.388359, -256.0753, 11.11913, -0.08053332, -0.3710592, -0.6115852, -0.7521111, -0.362637, -0.2861629, 0.2363112, 0.1437853, 0.5062593, 0.5697334, 2, 68.80853, 69.73835, 70.66818, 71.59801, 72.52784, 73.45767, 74.3875, 75.31733, 76.24716, 77.17698, 78.10681, 79.03664, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 69.18, 70.42, 70.76, 71.36, 72.01, 72.76, 74.04, 75.007, 76.42, 77.218, 78.471, 79.425, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 6.918000e+01, 7.042000e+01, 7.076000e+01, 7.136000e+01, 7.201000e+01, 7.276000e+01, 7.404000e+01, 7.500700e+01, 7.642000e+01, 7.721800e+01, 7.847100e+01, 7.942500e+01, 5.043000e+07, 5.143000e+07, 5.329200e+07, 5.495900e+07, 5.607900e+07, 5.617900e+07, 5.633970e+07, 5.698162e+07, 5.786635e+07, 5.880827e+07, 5.991243e+07, 6.077624e+07, 9.979508e+03, 1.128318e+04, 1.247718e+04, 1.414285e+04, 1.589512e+04, 1.742875e+04, 1.823242e+04, 2.166479e+04, 2.270509e+04, 2.607453e+04, 2.947900e+04, 3.320326e+04, 3.714744e-01, 6.816457e-01, 9.181702e-02, -2.380117e-01, -5.178403e-01, -6.976690e-01, -3.474977e-01, -3.103263e-01, 1.728450e-01, 4.101632e-02, 3.641876e-01, 3.883590e-01
United States	Americas	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 6.844000e+01, 6.949000e+01, 7.021000e+01, 7.076000e+01, 7.134000e+01, 7.338000e+01, 7.465000e+01, 7.502000e+01, 7.609000e+01, 7.681000e+01, 7.731000e+01, 7.824200e+01, 1.575530e+08, 1.719840e+08, 1.865380e+08, 1.987120e+08, 2.098960e+08, 2.202390e+08, 2.321878e+08, 2.428035e+08, 2.568942e+08, 2.729118e+08, 2.876755e+08, 3.011399e+08, 1.399048e+04, 1.484713e+04, 1.617315e+04, 1.953037e+04, 2.180604e+04, 2.407263e+04, 2.500956e+04, 2.988435e+04, 3.200393e+04, 3.576743e+04, 3.909710e+04, 4.295165e+04	-291.0845, 0.1841692, 0.02615385, 0.1553077, -0.04553846, -0.4163846, -0.7572308, 0.3619231, 0.7110769, 0.1602308, 0.3093846, 0.1085385, -0.3123077, -0.3011538, -254.537, 11.01172, -0.07365764, -0.4346886, -0.7657195, 0.3632496, 0.7222187, 0.1811878, 0.3401569, 0.149126, -0.2619049, -0.2409358, 2, 68.41385, 69.33469, 70.25554, 71.17638, 72.09723, 73.01808, 73.93892, 74.85977, 75.78062, 76.70146, 77.62231, 78.54315, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 68.44, 69.49, 70.21, 70.76, 71.34, 73.38, 74.65, 75.02, 76.09, 76.81, 77.31, 78.242, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 6.844000e+01, 6.949000e+01, 7.021000e+01, 7.076000e+01, 7.134000e+01, 7.338000e+01, 7.465000e+01, 7.502000e+01, 7.609000e+01, 7.681000e+01, 7.731000e+01, 7.824200e+01, 1.575530e+08, 1.719840e+08, 1.865380e+08, 1.987120e+08, 2.098960e+08, 2.202390e+08, 2.321878e+08, 2.428035e+08, 2.568942e+08, 2.729118e+08, 2.876755e+08, 3.011399e+08, 1.399048e+04, 1.484713e+04, 1.617315e+04, 1.953037e+04, 2.180604e+04, 2.407263e+04, 2.500956e+04, 2.988435e+04, 3.200393e+04, 3.576743e+04, 3.909710e+04, 4.295165e+04, 2.615385e-02, 1.553077e-01, -4.553846e-02, -4.163846e-01, -7.572308e-01, 3.619231e-01, 7.110769e-01, 1.602308e-01, 3.093846e-01, 1.085385e-01, -3.123077e-01, -3.011538e-01
Uruguay	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 66.071, 67.044, 68.253, 68.468, 68.673, 69.481, 70.805, 71.918, 72.752, 74.223, 75.307, 76.384, 2252965.000, 2424959.000, 2598466.000, 2748579.000, 2829526.000, 2873520.000, 2953997.000, 3045153.000, 3149262.000, 3262838.000, 3363085.000, 3447496.000, 5716.767, 6150.773, 5603.358, 5444.620, 5703.409, 6504.340, 6920.223, 7452.399, 8137.005, 9230.241, 7727.002, 10611.463	-292.0054, 0.183272, 0.3293974, 0.3860373, 0.6786772, -0.02268298, -0.7340431, -0.8424033, -0.4347634, -0.2381235, -0.3204837, 0.2341562, 0.401796, 0.5624359, -245.1946, 10.95807, 0.5583795, -0.1224733, -0.8133261, -0.9011789, -0.4730317, -0.2558845, -0.3177373, 0.2574099, 0.4455571, 0.6267044, 2, 65.7416, 66.65796, 67.57432, 68.49068, 69.40704, 70.3234, 71.23976, 72.15612, 73.07248, 73.98884, 74.9052, 75.82156, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 66.071, 67.044, 68.253, 68.468, 68.673, 69.481, 70.805, 71.918, 72.752, 74.223, 75.307, 76.384, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 6.607100e+01, 6.704400e+01, 6.825300e+01, 6.846800e+01, 6.867300e+01, 6.948100e+01, 7.080500e+01, 7.191800e+01, 7.275200e+01, 7.422300e+01, 7.530700e+01, 7.638400e+01, 2.252965e+06, 2.424959e+06, 2.598466e+06, 2.748579e+06, 2.829526e+06, 2.873520e+06, 2.953997e+06, 3.045153e+06, 3.149262e+06, 3.262838e+06, 3.363085e+06, 3.447496e+06, 5.716767e+03, 6.150773e+03, 5.603358e+03, 5.444620e+03, 5.703409e+03, 6.504340e+03, 6.920223e+03, 7.452399e+03, 8.137005e+03, 9.230241e+03, 7.727002e+03, 1.061146e+04, 3.293974e-01, 3.860373e-01, 6.786772e-01, -2.268298e-02, -7.340431e-01, -8.424033e-01, -4.347634e-01, -2.381235e-01, -3.204837e-01, 2.341562e-01, 4.017960e-01, 5.624359e-01
Venezuela	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.088, 57.907, 60.770, 63.479, 65.712, 67.456, 68.557, 70.190, 71.150, 72.146, 72.766, 73.747, 5439568.000, 6702668.000, 8143375.000, 9709552.000, 11515649.000, 13503563.000, 15620766.000, 17910182.000, 20265563.000, 22374398.000, 24287670.000, 26084662.000, 7689.800, 9802.467, 8422.974, 9541.474, 10505.260, 13143.951, 11152.410, 9883.585, 10733.926, 10165.495, 8605.048, 11415.806	-586.1034, 0.3297217, -2.425321, -1.254929, -0.0405373, 1.019854, 1.604246, 1.699638, 1.152029, 1.136421, 0.4478124, -0.204796, -1.233404, -1.901013, -230.6422, 19.71449, 0.6087551, 1.622409, 2.160063, 2.208718, 1.614372, 1.552026, 0.8166799, 0.117334, -0.9580118, -1.672358, 2, 57.51332, 59.16193, 60.81054, 62.45915, 64.10775, 65.75636, 67.40497, 69.05358, 70.70219, 72.3508, 73.9994, 75.64801, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 55.088, 57.907, 60.77, 63.479, 65.712, 67.456, 68.557, 70.19, 71.15, 72.146, 72.766, 73.747, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.508800e+01, 5.790700e+01, 6.077000e+01, 6.347900e+01, 6.571200e+01, 6.745600e+01, 6.855700e+01, 7.019000e+01, 7.115000e+01, 7.214600e+01, 7.276600e+01, 7.374700e+01, 5.439568e+06, 6.702668e+06, 8.143375e+06, 9.709552e+06, 1.151565e+07, 1.350356e+07, 1.562077e+07, 1.791018e+07, 2.026556e+07, 2.237440e+07, 2.428767e+07, 2.608466e+07, 7.689800e+03, 9.802467e+03, 8.422974e+03, 9.541474e+03, 1.050526e+04, 1.314395e+04, 1.115241e+04, 9.883585e+03, 1.073393e+04, 1.016550e+04, 8.605048e+03, 1.141581e+04, -2.425321e+00, -1.254929e+00, -4.053730e-02, 1.019854e+00, 1.604246e+00, 1.699638e+00, 1.152029e+00, 1.136421e+00, 4.478124e-01, -2.047960e-01, -1.233404e+00, -1.901013e+00
Vietnam	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.041200e+01, 4.288700e+01, 4.536300e+01, 4.783800e+01, 5.025400e+01, 5.576400e+01, 5.881600e+01, 6.282000e+01, 6.766200e+01, 7.067200e+01, 7.301700e+01, 7.424900e+01, 2.624684e+07, 2.899854e+07, 3.379614e+07, 3.946391e+07, 4.465501e+07, 5.053351e+07, 5.614218e+07, 6.282649e+07, 6.994073e+07, 7.604900e+07, 8.090815e+07, 8.526236e+07, 6.050665e+02, 6.762854e+02, 7.720492e+02, 6.371233e+02, 6.995016e+02, 7.135371e+02, 7.072358e+02, 8.207994e+02, 9.890231e+02, 1.385897e+03, 1.764457e+03, 2.441576e+03	-1271.983, 0.6716154, 1.401923, 0.5188462, -0.3632308, -1.246308, -2.188385, -0.03646154, -0.3425385, 0.3033846, 1.787308, 1.439231, 0.4261538, -1.699923, -199.1148, 40.15676, -0.7077799, -1.577406, -2.506032, -0.3406587, -0.633285, 0.02608876, 1.523462, 1.188836, 0.1892099, -1.923416, 2, 39.01008, 42.36815, 45.72623, 49.08431, 52.44238, 55.80046, 59.15854, 62.51662, 65.87469, 69.23277, 72.59085, 75.94892, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 40.412, 42.887, 45.363, 47.838, 50.254, 55.764, 58.816, 62.82, 67.662, 70.672, 73.017, 74.249, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.041200e+01, 4.288700e+01, 4.536300e+01, 4.783800e+01, 5.025400e+01, 5.576400e+01, 5.881600e+01, 6.282000e+01, 6.766200e+01, 7.067200e+01, 7.301700e+01, 7.424900e+01, 2.624684e+07, 2.899854e+07, 3.379614e+07, 3.946391e+07, 4.465501e+07, 5.053351e+07, 5.614218e+07, 6.282649e+07, 6.994073e+07, 7.604900e+07, 8.090815e+07, 8.526236e+07, 6.050665e+02, 6.762854e+02, 7.720492e+02, 6.371233e+02, 6.995016e+02, 7.135371e+02, 7.072358e+02, 8.207994e+02, 9.890231e+02, 1.385897e+03, 1.764457e+03, 2.441576e+03, 1.401923e+00, 5.188462e-01, -3.632308e-01, -1.246308e+00, -2.188385e+00, -3.646154e-02, -3.425385e-01, 3.033846e-01, 1.787308e+00, 1.439231e+00, 4.261538e-01, -1.699923e+00
West Bank and Gaza	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.160, 45.671, 48.127, 51.631, 56.532, 60.765, 64.406, 67.046, 69.718, 71.096, 72.370, 73.422, 1030585.000, 1070439.000, 1133134.000, 1142636.000, 1089572.000, 1261091.000, 1425876.000, 1691210.000, 2104779.000, 2826046.000, 3389578.000, 4018332.000, 1515.592, 1827.068, 2198.956, 2649.715, 3133.409, 3682.831, 4336.032, 5107.197, 6017.655, 7110.668, 4515.488, 3025.350	-1129.55, 0.6011007, -0.6383974, -1.132901, -1.682404, -1.183908, 0.7115886, 1.939085, 2.574582, 2.209078, 1.875575, 0.2480711, -1.483432, -3.436936, -208.9846, 35.94059, -1.391952, -0.9584685, 0.8720155, 2.0345, 2.604984, 2.174468, 1.775952, 0.08343555, -1.71308, -3.731596, 2, 43.7984, 46.8039, 49.8094, 52.81491, 55.82041, 58.82591, 61.83142, 64.83692, 67.84243, 70.84793, 73.85343, 76.85894, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 43.16, 45.671, 48.127, 51.631, 56.532, 60.765, 64.406, 67.046, 69.718, 71.096, 72.37, 73.422, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.316000e+01, 4.567100e+01, 4.812700e+01, 5.163100e+01, 5.653200e+01, 6.076500e+01, 6.440600e+01, 6.704600e+01, 6.971800e+01, 7.109600e+01, 7.237000e+01, 7.342200e+01, 1.030585e+06, 1.070439e+06, 1.133134e+06, 1.142636e+06, 1.089572e+06, 1.261091e+06, 1.425876e+06, 1.691210e+06, 2.104779e+06, 2.826046e+06, 3.389578e+06, 4.018332e+06, 1.515592e+03, 1.827068e+03, 2.198956e+03, 2.649715e+03, 3.133409e+03, 3.682831e+03, 4.336032e+03, 5.107197e+03, 6.017655e+03, 7.110668e+03, 4.515488e+03, 3.025350e+03, -6.383974e-01, -1.132901e+00, -1.682404e+00, -1.183908e+00, 7.115886e-01, 1.939085e+00, 2.574582e+00, 2.209078e+00, 1.875575e+00, 2.480711e-01, -1.483432e+00, -3.436936e+00
Yemen, Rep.	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.254800e+01, 3.397000e+01, 3.518000e+01, 3.698400e+01, 3.984800e+01, 4.417500e+01, 4.911300e+01, 5.292200e+01, 5.559900e+01, 5.802000e+01, 6.030800e+01, 6.269800e+01, 4.963829e+06, 5.498090e+06, 6.120081e+06, 6.740785e+06, 7.407075e+06, 8.403990e+06, 9.657618e+06, 1.121934e+07, 1.336800e+07, 1.582650e+07, 1.870126e+07, 2.221174e+07, 7.817176e+02, 8.048305e+02, 8.256232e+02, 8.624421e+02, 1.265047e+03, 1.829765e+03, 1.977557e+03, 1.971742e+03, 1.879497e+03, 2.117485e+03, 2.234821e+03, 2.280770e+03	-1151.727, 0.6054594, 2.417718, 0.8124207, -1.004876, -2.228174, -2.391471, -1.091768, 0.8189347, 1.600638, 1.25034, 0.6440431, -0.09525408, -0.7325513, -162.0521, 36.20121, -1.586808, -2.792318, -2.937828, -1.620338, 0.3081517, 1.107642, 0.7751314, 0.1866213, -0.5348889, -1.154399, 2, 30.13028, 33.15758, 36.18488, 39.21217, 42.23947, 45.26677, 48.29407, 51.32136, 54.34866, 57.37596, 60.40325, 63.43055, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 32.548, 33.97, 35.18, 36.984, 39.848, 44.175, 49.113, 52.922, 55.599, 58.02, 60.308, 62.698, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.254800e+01, 3.397000e+01, 3.518000e+01, 3.698400e+01, 3.984800e+01, 4.417500e+01, 4.911300e+01, 5.292200e+01, 5.559900e+01, 5.802000e+01, 6.030800e+01, 6.269800e+01, 4.963829e+06, 5.498090e+06, 6.120081e+06, 6.740785e+06, 7.407075e+06, 8.403990e+06, 9.657618e+06, 1.121934e+07, 1.336800e+07, 1.582650e+07, 1.870126e+07, 2.221174e+07, 7.817176e+02, 8.048305e+02, 8.256232e+02, 8.624421e+02, 1.265047e+03, 1.829765e+03, 1.977557e+03, 1.971742e+03, 1.879497e+03, 2.117485e+03, 2.234821e+03, 2.280770e+03, 2.417718e+00, 8.124207e-01, -1.004876e+00, -2.228174e+00, -2.391471e+00, -1.091768e+00, 8.189347e-01, 1.600638e+00, 1.250340e+00, 6.440431e-01, -9.525408e-02, -7.325513e-01
Zambia	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.100, 40.238, 39.193, 42.384, 2672000.000, 3016000.000, 3421000.000, 3900000.000, 4506497.000, 5216550.000, 6100407.000, 7272406.000, 8381163.000, 9417789.000, 10595811.000, 11746035.000, 1147.389, 1311.957, 1452.726, 1777.077, 1773.498, 1588.688, 1408.679, 1213.315, 1210.885, 1071.354, 1071.614, 1271.212	165.608, -0.06042517, -5.620026, -3.2789, -1.030774, 1.016352, 3.657478, 5.238604, 5.97573, 5.277855, 0.8589814, -4.700893, -5.443767, -1.950641, -159.336, -3.6129, 0.5290378, 2.4435, 4.951963, 6.400425, 7.004887, 6.17435, 1.622812, -4.069725, -4.945263, -1.584801, 2, 47.65803, 47.3559, 47.05377, 46.75165, 46.44952, 46.1474, 45.84527, 45.54314, 45.24102, 44.93889, 44.63677, 44.33464, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.1, 40.238, 39.193, 42.384, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.203800e+01, 4.407700e+01, 4.602300e+01, 4.776800e+01, 5.010700e+01, 5.138600e+01, 5.182100e+01, 5.082100e+01, 4.610000e+01, 4.023800e+01, 3.919300e+01, 4.238400e+01, 2.672000e+06, 3.016000e+06, 3.421000e+06, 3.900000e+06, 4.506497e+06, 5.216550e+06, 6.100407e+06, 7.272406e+06, 8.381163e+06, 9.417789e+06, 1.059581e+07, 1.174604e+07, 1.147389e+03, 1.311957e+03, 1.452726e+03, 1.777077e+03, 1.773498e+03, 1.588688e+03, 1.408679e+03, 1.213315e+03, 1.210885e+03, 1.071354e+03, 1.071614e+03, 1.271212e+03, -5.620026e+00, -3.278900e+00, -1.030774e+00, 1.016352e+00, 3.657478e+00, 5.238604e+00, 5.975730e+00, 5.277855e+00, 8.589814e-01, -4.700893e+00, -5.443767e+00, -1.950641e+00
Zimbabwe	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.845100e+01, 5.046900e+01, 5.235800e+01, 5.399500e+01, 5.563500e+01, 5.767400e+01, 6.036300e+01, 6.235100e+01, 6.037700e+01, 4.680900e+01, 3.998900e+01, 4.348700e+01, 3.080907e+06, 3.646340e+06, 4.277736e+06, 4.995432e+06, 5.861135e+06, 6.642107e+06, 7.636524e+06, 9.216418e+06, 1.070434e+07, 1.140495e+07, 1.192656e+07, 1.231114e+07, 4.068841e+02, 5.187643e+02, 5.272722e+02, 5.697951e+02, 7.993622e+02, 6.855877e+02, 7.888550e+02, 7.061573e+02, 6.934208e+02, 7.924500e+02, 6.720386e+02, 4.697093e+02	236.7982, -0.09302098, -6.770244, -4.287139, -1.933034, 0.1690711, 2.274176, 4.778281, 7.932386, 10.38549, 8.876596, -4.2263, -10.58119, -6.61809, -182.4306, -5.561846, -0.003763574, 1.916383, 3.839529, 6.161675, 9.133821, 11.40497, 9.714114, -3.57074, -10.10759, -6.326448, 2, 55.22124, 54.75614, 54.29103, 53.82593, 53.36082, 52.89572, 52.43061, 51.96551, 51.5004, 51.0353, 50.57019, 50.10509, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 48.451, 50.469, 52.358, 53.995, 55.635, 57.674, 60.363, 62.351, 60.377, 46.809, 39.989, 43.487, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.845100e+01, 5.046900e+01, 5.235800e+01, 5.399500e+01, 5.563500e+01, 5.767400e+01, 6.036300e+01, 6.235100e+01, 6.037700e+01, 4.680900e+01, 3.998900e+01, 4.348700e+01, 3.080907e+06, 3.646340e+06, 4.277736e+06, 4.995432e+06, 5.861135e+06, 6.642107e+06, 7.636524e+06, 9.216418e+06, 1.070434e+07, 1.140495e+07, 1.192656e+07, 1.231114e+07, 4.068841e+02, 5.187643e+02, 5.272722e+02, 5.697951e+02, 7.993622e+02, 6.855877e+02, 7.888550e+02, 7.061573e+02, 6.934208e+02, 7.924500e+02, 6.720386e+02, 4.697093e+02, -6.770244e+00, -4.287139e+00, -1.933034e+00, 1.690711e-01, 2.274176e+00, 4.778281e+00, 7.932386e+00, 1.038549e+01, 8.876596e+00, -4.226300e+00, -1.058119e+01, -6.618090e+00

But how can you plot a list of data frames? Instead of struggling to answer that question, let's turn the list of data frames back into a regular data frame. Previously we used nest() to turn a regular data frame into an nested data frame, and now we do the opposite with unnest():

In [13]:

            
                Copied!
                
resids <- unnest(by_country, resids)
resids
resids <- unnest(by_country, resids)
resids

A grouped_df: 1704 × 9
country	continent	data	model	year	lifeExp	pop	gdpPercap	resid
<fct>	<fct>	<list>	<list>	<int>	<dbl>	<int>	<dbl>	<dbl>
Afghanistan	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 2.880100e+01, 3.033200e+01, 3.199700e+01, 3.402000e+01, 3.608800e+01, 3.843800e+01, 3.985400e+01, 4.082200e+01, 4.167400e+01, 4.176300e+01, 4.212900e+01, 4.382800e+01, 8.425333e+06, 9.240934e+06, 1.026708e+07, 1.153797e+07, 1.307946e+07, 1.488037e+07, 1.288182e+07, 1.386796e+07, 1.631792e+07, 2.222742e+07, 2.526840e+07, 3.188992e+07, 7.794453e+02, 8.208530e+02, 8.531007e+02, 8.361971e+02, 7.399811e+02, 7.861134e+02, 9.780114e+02, 8.523959e+02, 6.493414e+02, 6.353414e+02, 7.267341e+02, 9.745803e+02	-507.5343, 0.2753287, -1.106295, -0.9519382, -0.6635816, -0.01722494, 0.6741317, 1.647488, 1.686845, 1.278202, 0.7535583, -0.5340851, -1.544728, -1.222372, -129.8305, 16.46226, -0.3108827, 0.2892301, 0.934343, 1.861456, 1.854569, 1.399681, 0.8287943, -0.5050929, -1.56198, -1.285867, 2, 29.90729, 31.28394, 32.66058, 34.03722, 35.41387, 36.79051, 38.16716, 39.5438, 40.92044, 42.29709, 43.67373, 45.05037, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 28.801, 30.332, 31.997, 34.02, 36.088, 38.438, 39.854, 40.822, 41.674, 41.763, 42.129, 43.828, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1952	28.801	8425333	779.4453	-1.10629487
Afghanistan	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 2.880100e+01, 3.033200e+01, 3.199700e+01, 3.402000e+01, 3.608800e+01, 3.843800e+01, 3.985400e+01, 4.082200e+01, 4.167400e+01, 4.176300e+01, 4.212900e+01, 4.382800e+01, 8.425333e+06, 9.240934e+06, 1.026708e+07, 1.153797e+07, 1.307946e+07, 1.488037e+07, 1.288182e+07, 1.386796e+07, 1.631792e+07, 2.222742e+07, 2.526840e+07, 3.188992e+07, 7.794453e+02, 8.208530e+02, 8.531007e+02, 8.361971e+02, 7.399811e+02, 7.861134e+02, 9.780114e+02, 8.523959e+02, 6.493414e+02, 6.353414e+02, 7.267341e+02, 9.745803e+02	-507.5343, 0.2753287, -1.106295, -0.9519382, -0.6635816, -0.01722494, 0.6741317, 1.647488, 1.686845, 1.278202, 0.7535583, -0.5340851, -1.544728, -1.222372, -129.8305, 16.46226, -0.3108827, 0.2892301, 0.934343, 1.861456, 1.854569, 1.399681, 0.8287943, -0.5050929, -1.56198, -1.285867, 2, 29.90729, 31.28394, 32.66058, 34.03722, 35.41387, 36.79051, 38.16716, 39.5438, 40.92044, 42.29709, 43.67373, 45.05037, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 28.801, 30.332, 31.997, 34.02, 36.088, 38.438, 39.854, 40.822, 41.674, 41.763, 42.129, 43.828, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1957	30.332	9240934	820.8530	-0.95193823
Afghanistan	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 2.880100e+01, 3.033200e+01, 3.199700e+01, 3.402000e+01, 3.608800e+01, 3.843800e+01, 3.985400e+01, 4.082200e+01, 4.167400e+01, 4.176300e+01, 4.212900e+01, 4.382800e+01, 8.425333e+06, 9.240934e+06, 1.026708e+07, 1.153797e+07, 1.307946e+07, 1.488037e+07, 1.288182e+07, 1.386796e+07, 1.631792e+07, 2.222742e+07, 2.526840e+07, 3.188992e+07, 7.794453e+02, 8.208530e+02, 8.531007e+02, 8.361971e+02, 7.399811e+02, 7.861134e+02, 9.780114e+02, 8.523959e+02, 6.493414e+02, 6.353414e+02, 7.267341e+02, 9.745803e+02	-507.5343, 0.2753287, -1.106295, -0.9519382, -0.6635816, -0.01722494, 0.6741317, 1.647488, 1.686845, 1.278202, 0.7535583, -0.5340851, -1.544728, -1.222372, -129.8305, 16.46226, -0.3108827, 0.2892301, 0.934343, 1.861456, 1.854569, 1.399681, 0.8287943, -0.5050929, -1.56198, -1.285867, 2, 29.90729, 31.28394, 32.66058, 34.03722, 35.41387, 36.79051, 38.16716, 39.5438, 40.92044, 42.29709, 43.67373, 45.05037, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 28.801, 30.332, 31.997, 34.02, 36.088, 38.438, 39.854, 40.822, 41.674, 41.763, 42.129, 43.828, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1962	31.997	10267083	853.1007	-0.66358159
Afghanistan	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 2.880100e+01, 3.033200e+01, 3.199700e+01, 3.402000e+01, 3.608800e+01, 3.843800e+01, 3.985400e+01, 4.082200e+01, 4.167400e+01, 4.176300e+01, 4.212900e+01, 4.382800e+01, 8.425333e+06, 9.240934e+06, 1.026708e+07, 1.153797e+07, 1.307946e+07, 1.488037e+07, 1.288182e+07, 1.386796e+07, 1.631792e+07, 2.222742e+07, 2.526840e+07, 3.188992e+07, 7.794453e+02, 8.208530e+02, 8.531007e+02, 8.361971e+02, 7.399811e+02, 7.861134e+02, 9.780114e+02, 8.523959e+02, 6.493414e+02, 6.353414e+02, 7.267341e+02, 9.745803e+02	-507.5343, 0.2753287, -1.106295, -0.9519382, -0.6635816, -0.01722494, 0.6741317, 1.647488, 1.686845, 1.278202, 0.7535583, -0.5340851, -1.544728, -1.222372, -129.8305, 16.46226, -0.3108827, 0.2892301, 0.934343, 1.861456, 1.854569, 1.399681, 0.8287943, -0.5050929, -1.56198, -1.285867, 2, 29.90729, 31.28394, 32.66058, 34.03722, 35.41387, 36.79051, 38.16716, 39.5438, 40.92044, 42.29709, 43.67373, 45.05037, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 28.801, 30.332, 31.997, 34.02, 36.088, 38.438, 39.854, 40.822, 41.674, 41.763, 42.129, 43.828, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1967	34.020	11537966	836.1971	-0.01722494
Afghanistan	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 2.880100e+01, 3.033200e+01, 3.199700e+01, 3.402000e+01, 3.608800e+01, 3.843800e+01, 3.985400e+01, 4.082200e+01, 4.167400e+01, 4.176300e+01, 4.212900e+01, 4.382800e+01, 8.425333e+06, 9.240934e+06, 1.026708e+07, 1.153797e+07, 1.307946e+07, 1.488037e+07, 1.288182e+07, 1.386796e+07, 1.631792e+07, 2.222742e+07, 2.526840e+07, 3.188992e+07, 7.794453e+02, 8.208530e+02, 8.531007e+02, 8.361971e+02, 7.399811e+02, 7.861134e+02, 9.780114e+02, 8.523959e+02, 6.493414e+02, 6.353414e+02, 7.267341e+02, 9.745803e+02	-507.5343, 0.2753287, -1.106295, -0.9519382, -0.6635816, -0.01722494, 0.6741317, 1.647488, 1.686845, 1.278202, 0.7535583, -0.5340851, -1.544728, -1.222372, -129.8305, 16.46226, -0.3108827, 0.2892301, 0.934343, 1.861456, 1.854569, 1.399681, 0.8287943, -0.5050929, -1.56198, -1.285867, 2, 29.90729, 31.28394, 32.66058, 34.03722, 35.41387, 36.79051, 38.16716, 39.5438, 40.92044, 42.29709, 43.67373, 45.05037, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 28.801, 30.332, 31.997, 34.02, 36.088, 38.438, 39.854, 40.822, 41.674, 41.763, 42.129, 43.828, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1972	36.088	13079460	739.9811	0.67413170
Afghanistan	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 2.880100e+01, 3.033200e+01, 3.199700e+01, 3.402000e+01, 3.608800e+01, 3.843800e+01, 3.985400e+01, 4.082200e+01, 4.167400e+01, 4.176300e+01, 4.212900e+01, 4.382800e+01, 8.425333e+06, 9.240934e+06, 1.026708e+07, 1.153797e+07, 1.307946e+07, 1.488037e+07, 1.288182e+07, 1.386796e+07, 1.631792e+07, 2.222742e+07, 2.526840e+07, 3.188992e+07, 7.794453e+02, 8.208530e+02, 8.531007e+02, 8.361971e+02, 7.399811e+02, 7.861134e+02, 9.780114e+02, 8.523959e+02, 6.493414e+02, 6.353414e+02, 7.267341e+02, 9.745803e+02	-507.5343, 0.2753287, -1.106295, -0.9519382, -0.6635816, -0.01722494, 0.6741317, 1.647488, 1.686845, 1.278202, 0.7535583, -0.5340851, -1.544728, -1.222372, -129.8305, 16.46226, -0.3108827, 0.2892301, 0.934343, 1.861456, 1.854569, 1.399681, 0.8287943, -0.5050929, -1.56198, -1.285867, 2, 29.90729, 31.28394, 32.66058, 34.03722, 35.41387, 36.79051, 38.16716, 39.5438, 40.92044, 42.29709, 43.67373, 45.05037, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 28.801, 30.332, 31.997, 34.02, 36.088, 38.438, 39.854, 40.822, 41.674, 41.763, 42.129, 43.828, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1977	38.438	14880372	786.1134	1.64748834
Afghanistan	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 2.880100e+01, 3.033200e+01, 3.199700e+01, 3.402000e+01, 3.608800e+01, 3.843800e+01, 3.985400e+01, 4.082200e+01, 4.167400e+01, 4.176300e+01, 4.212900e+01, 4.382800e+01, 8.425333e+06, 9.240934e+06, 1.026708e+07, 1.153797e+07, 1.307946e+07, 1.488037e+07, 1.288182e+07, 1.386796e+07, 1.631792e+07, 2.222742e+07, 2.526840e+07, 3.188992e+07, 7.794453e+02, 8.208530e+02, 8.531007e+02, 8.361971e+02, 7.399811e+02, 7.861134e+02, 9.780114e+02, 8.523959e+02, 6.493414e+02, 6.353414e+02, 7.267341e+02, 9.745803e+02	-507.5343, 0.2753287, -1.106295, -0.9519382, -0.6635816, -0.01722494, 0.6741317, 1.647488, 1.686845, 1.278202, 0.7535583, -0.5340851, -1.544728, -1.222372, -129.8305, 16.46226, -0.3108827, 0.2892301, 0.934343, 1.861456, 1.854569, 1.399681, 0.8287943, -0.5050929, -1.56198, -1.285867, 2, 29.90729, 31.28394, 32.66058, 34.03722, 35.41387, 36.79051, 38.16716, 39.5438, 40.92044, 42.29709, 43.67373, 45.05037, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 28.801, 30.332, 31.997, 34.02, 36.088, 38.438, 39.854, 40.822, 41.674, 41.763, 42.129, 43.828, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1982	39.854	12881816	978.0114	1.68684499
Afghanistan	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 2.880100e+01, 3.033200e+01, 3.199700e+01, 3.402000e+01, 3.608800e+01, 3.843800e+01, 3.985400e+01, 4.082200e+01, 4.167400e+01, 4.176300e+01, 4.212900e+01, 4.382800e+01, 8.425333e+06, 9.240934e+06, 1.026708e+07, 1.153797e+07, 1.307946e+07, 1.488037e+07, 1.288182e+07, 1.386796e+07, 1.631792e+07, 2.222742e+07, 2.526840e+07, 3.188992e+07, 7.794453e+02, 8.208530e+02, 8.531007e+02, 8.361971e+02, 7.399811e+02, 7.861134e+02, 9.780114e+02, 8.523959e+02, 6.493414e+02, 6.353414e+02, 7.267341e+02, 9.745803e+02	-507.5343, 0.2753287, -1.106295, -0.9519382, -0.6635816, -0.01722494, 0.6741317, 1.647488, 1.686845, 1.278202, 0.7535583, -0.5340851, -1.544728, -1.222372, -129.8305, 16.46226, -0.3108827, 0.2892301, 0.934343, 1.861456, 1.854569, 1.399681, 0.8287943, -0.5050929, -1.56198, -1.285867, 2, 29.90729, 31.28394, 32.66058, 34.03722, 35.41387, 36.79051, 38.16716, 39.5438, 40.92044, 42.29709, 43.67373, 45.05037, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 28.801, 30.332, 31.997, 34.02, 36.088, 38.438, 39.854, 40.822, 41.674, 41.763, 42.129, 43.828, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1987	40.822	13867957	852.3959	1.27820163
Afghanistan	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 2.880100e+01, 3.033200e+01, 3.199700e+01, 3.402000e+01, 3.608800e+01, 3.843800e+01, 3.985400e+01, 4.082200e+01, 4.167400e+01, 4.176300e+01, 4.212900e+01, 4.382800e+01, 8.425333e+06, 9.240934e+06, 1.026708e+07, 1.153797e+07, 1.307946e+07, 1.488037e+07, 1.288182e+07, 1.386796e+07, 1.631792e+07, 2.222742e+07, 2.526840e+07, 3.188992e+07, 7.794453e+02, 8.208530e+02, 8.531007e+02, 8.361971e+02, 7.399811e+02, 7.861134e+02, 9.780114e+02, 8.523959e+02, 6.493414e+02, 6.353414e+02, 7.267341e+02, 9.745803e+02	-507.5343, 0.2753287, -1.106295, -0.9519382, -0.6635816, -0.01722494, 0.6741317, 1.647488, 1.686845, 1.278202, 0.7535583, -0.5340851, -1.544728, -1.222372, -129.8305, 16.46226, -0.3108827, 0.2892301, 0.934343, 1.861456, 1.854569, 1.399681, 0.8287943, -0.5050929, -1.56198, -1.285867, 2, 29.90729, 31.28394, 32.66058, 34.03722, 35.41387, 36.79051, 38.16716, 39.5438, 40.92044, 42.29709, 43.67373, 45.05037, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 28.801, 30.332, 31.997, 34.02, 36.088, 38.438, 39.854, 40.822, 41.674, 41.763, 42.129, 43.828, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1992	41.674	16317921	649.3414	0.75355828
Afghanistan	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 2.880100e+01, 3.033200e+01, 3.199700e+01, 3.402000e+01, 3.608800e+01, 3.843800e+01, 3.985400e+01, 4.082200e+01, 4.167400e+01, 4.176300e+01, 4.212900e+01, 4.382800e+01, 8.425333e+06, 9.240934e+06, 1.026708e+07, 1.153797e+07, 1.307946e+07, 1.488037e+07, 1.288182e+07, 1.386796e+07, 1.631792e+07, 2.222742e+07, 2.526840e+07, 3.188992e+07, 7.794453e+02, 8.208530e+02, 8.531007e+02, 8.361971e+02, 7.399811e+02, 7.861134e+02, 9.780114e+02, 8.523959e+02, 6.493414e+02, 6.353414e+02, 7.267341e+02, 9.745803e+02	-507.5343, 0.2753287, -1.106295, -0.9519382, -0.6635816, -0.01722494, 0.6741317, 1.647488, 1.686845, 1.278202, 0.7535583, -0.5340851, -1.544728, -1.222372, -129.8305, 16.46226, -0.3108827, 0.2892301, 0.934343, 1.861456, 1.854569, 1.399681, 0.8287943, -0.5050929, -1.56198, -1.285867, 2, 29.90729, 31.28394, 32.66058, 34.03722, 35.41387, 36.79051, 38.16716, 39.5438, 40.92044, 42.29709, 43.67373, 45.05037, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 28.801, 30.332, 31.997, 34.02, 36.088, 38.438, 39.854, 40.822, 41.674, 41.763, 42.129, 43.828, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1997	41.763	22227415	635.3414	-0.53408508
Afghanistan	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 2.880100e+01, 3.033200e+01, 3.199700e+01, 3.402000e+01, 3.608800e+01, 3.843800e+01, 3.985400e+01, 4.082200e+01, 4.167400e+01, 4.176300e+01, 4.212900e+01, 4.382800e+01, 8.425333e+06, 9.240934e+06, 1.026708e+07, 1.153797e+07, 1.307946e+07, 1.488037e+07, 1.288182e+07, 1.386796e+07, 1.631792e+07, 2.222742e+07, 2.526840e+07, 3.188992e+07, 7.794453e+02, 8.208530e+02, 8.531007e+02, 8.361971e+02, 7.399811e+02, 7.861134e+02, 9.780114e+02, 8.523959e+02, 6.493414e+02, 6.353414e+02, 7.267341e+02, 9.745803e+02	-507.5343, 0.2753287, -1.106295, -0.9519382, -0.6635816, -0.01722494, 0.6741317, 1.647488, 1.686845, 1.278202, 0.7535583, -0.5340851, -1.544728, -1.222372, -129.8305, 16.46226, -0.3108827, 0.2892301, 0.934343, 1.861456, 1.854569, 1.399681, 0.8287943, -0.5050929, -1.56198, -1.285867, 2, 29.90729, 31.28394, 32.66058, 34.03722, 35.41387, 36.79051, 38.16716, 39.5438, 40.92044, 42.29709, 43.67373, 45.05037, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 28.801, 30.332, 31.997, 34.02, 36.088, 38.438, 39.854, 40.822, 41.674, 41.763, 42.129, 43.828, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	2002	42.129	25268405	726.7341	-1.54472844
Afghanistan	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 2.880100e+01, 3.033200e+01, 3.199700e+01, 3.402000e+01, 3.608800e+01, 3.843800e+01, 3.985400e+01, 4.082200e+01, 4.167400e+01, 4.176300e+01, 4.212900e+01, 4.382800e+01, 8.425333e+06, 9.240934e+06, 1.026708e+07, 1.153797e+07, 1.307946e+07, 1.488037e+07, 1.288182e+07, 1.386796e+07, 1.631792e+07, 2.222742e+07, 2.526840e+07, 3.188992e+07, 7.794453e+02, 8.208530e+02, 8.531007e+02, 8.361971e+02, 7.399811e+02, 7.861134e+02, 9.780114e+02, 8.523959e+02, 6.493414e+02, 6.353414e+02, 7.267341e+02, 9.745803e+02	-507.5343, 0.2753287, -1.106295, -0.9519382, -0.6635816, -0.01722494, 0.6741317, 1.647488, 1.686845, 1.278202, 0.7535583, -0.5340851, -1.544728, -1.222372, -129.8305, 16.46226, -0.3108827, 0.2892301, 0.934343, 1.861456, 1.854569, 1.399681, 0.8287943, -0.5050929, -1.56198, -1.285867, 2, 29.90729, 31.28394, 32.66058, 34.03722, 35.41387, 36.79051, 38.16716, 39.5438, 40.92044, 42.29709, 43.67373, 45.05037, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 28.801, 30.332, 31.997, 34.02, 36.088, 38.438, 39.854, 40.822, 41.674, 41.763, 42.129, 43.828, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	2007	43.828	31889923	974.5803	-1.22237179
Albania	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.230, 59.280, 64.820, 66.220, 67.690, 68.930, 70.420, 72.000, 71.581, 72.950, 75.651, 76.423, 1282697.000, 1476505.000, 1728137.000, 1984060.000, 2263554.000, 2509048.000, 2780097.000, 3075321.000, 3326498.000, 3428038.000, 3508512.000, 3600523.000, 1601.056, 1942.284, 2312.889, 2760.197, 3313.422, 3533.004, 3630.881, 3738.933, 2497.438, 3193.055, 4604.212, 5937.030	-594.0725, 0.3346832, -3.999128, -1.622544, 2.24404, 1.970624, 1.767207, 1.333791, 1.150375, 1.056959, -1.035457, -1.339873, -0.312289, -1.213705, -237.0586, 20.01115, 3.248124, 2.926981, 2.675838, 2.194694, 1.963551, 1.822408, -0.3177351, -0.6698783, 0.3099785, -0.6391646, 2, 59.22913, 60.90254, 62.57596, 64.24938, 65.92279, 67.59621, 69.26962, 70.94304, 72.61646, 74.28987, 75.96329, 77.63671, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 55.23, 59.28, 64.82, 66.22, 67.69, 68.93, 70.42, 72, 71.581, 72.95, 75.651, 76.423, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1952	55.230	1282697	1601.0561	-3.99912821
Albania	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.230, 59.280, 64.820, 66.220, 67.690, 68.930, 70.420, 72.000, 71.581, 72.950, 75.651, 76.423, 1282697.000, 1476505.000, 1728137.000, 1984060.000, 2263554.000, 2509048.000, 2780097.000, 3075321.000, 3326498.000, 3428038.000, 3508512.000, 3600523.000, 1601.056, 1942.284, 2312.889, 2760.197, 3313.422, 3533.004, 3630.881, 3738.933, 2497.438, 3193.055, 4604.212, 5937.030	-594.0725, 0.3346832, -3.999128, -1.622544, 2.24404, 1.970624, 1.767207, 1.333791, 1.150375, 1.056959, -1.035457, -1.339873, -0.312289, -1.213705, -237.0586, 20.01115, 3.248124, 2.926981, 2.675838, 2.194694, 1.963551, 1.822408, -0.3177351, -0.6698783, 0.3099785, -0.6391646, 2, 59.22913, 60.90254, 62.57596, 64.24938, 65.92279, 67.59621, 69.26962, 70.94304, 72.61646, 74.28987, 75.96329, 77.63671, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 55.23, 59.28, 64.82, 66.22, 67.69, 68.93, 70.42, 72, 71.581, 72.95, 75.651, 76.423, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1957	59.280	1476505	1942.2842	-1.62254429
Albania	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.230, 59.280, 64.820, 66.220, 67.690, 68.930, 70.420, 72.000, 71.581, 72.950, 75.651, 76.423, 1282697.000, 1476505.000, 1728137.000, 1984060.000, 2263554.000, 2509048.000, 2780097.000, 3075321.000, 3326498.000, 3428038.000, 3508512.000, 3600523.000, 1601.056, 1942.284, 2312.889, 2760.197, 3313.422, 3533.004, 3630.881, 3738.933, 2497.438, 3193.055, 4604.212, 5937.030	-594.0725, 0.3346832, -3.999128, -1.622544, 2.24404, 1.970624, 1.767207, 1.333791, 1.150375, 1.056959, -1.035457, -1.339873, -0.312289, -1.213705, -237.0586, 20.01115, 3.248124, 2.926981, 2.675838, 2.194694, 1.963551, 1.822408, -0.3177351, -0.6698783, 0.3099785, -0.6391646, 2, 59.22913, 60.90254, 62.57596, 64.24938, 65.92279, 67.59621, 69.26962, 70.94304, 72.61646, 74.28987, 75.96329, 77.63671, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 55.23, 59.28, 64.82, 66.22, 67.69, 68.93, 70.42, 72, 71.581, 72.95, 75.651, 76.423, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1962	64.820	1728137	2312.8890	2.24403963
Albania	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.230, 59.280, 64.820, 66.220, 67.690, 68.930, 70.420, 72.000, 71.581, 72.950, 75.651, 76.423, 1282697.000, 1476505.000, 1728137.000, 1984060.000, 2263554.000, 2509048.000, 2780097.000, 3075321.000, 3326498.000, 3428038.000, 3508512.000, 3600523.000, 1601.056, 1942.284, 2312.889, 2760.197, 3313.422, 3533.004, 3630.881, 3738.933, 2497.438, 3193.055, 4604.212, 5937.030	-594.0725, 0.3346832, -3.999128, -1.622544, 2.24404, 1.970624, 1.767207, 1.333791, 1.150375, 1.056959, -1.035457, -1.339873, -0.312289, -1.213705, -237.0586, 20.01115, 3.248124, 2.926981, 2.675838, 2.194694, 1.963551, 1.822408, -0.3177351, -0.6698783, 0.3099785, -0.6391646, 2, 59.22913, 60.90254, 62.57596, 64.24938, 65.92279, 67.59621, 69.26962, 70.94304, 72.61646, 74.28987, 75.96329, 77.63671, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 55.23, 59.28, 64.82, 66.22, 67.69, 68.93, 70.42, 72, 71.581, 72.95, 75.651, 76.423, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1967	66.220	1984060	2760.1969	1.97062354
Albania	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.230, 59.280, 64.820, 66.220, 67.690, 68.930, 70.420, 72.000, 71.581, 72.950, 75.651, 76.423, 1282697.000, 1476505.000, 1728137.000, 1984060.000, 2263554.000, 2509048.000, 2780097.000, 3075321.000, 3326498.000, 3428038.000, 3508512.000, 3600523.000, 1601.056, 1942.284, 2312.889, 2760.197, 3313.422, 3533.004, 3630.881, 3738.933, 2497.438, 3193.055, 4604.212, 5937.030	-594.0725, 0.3346832, -3.999128, -1.622544, 2.24404, 1.970624, 1.767207, 1.333791, 1.150375, 1.056959, -1.035457, -1.339873, -0.312289, -1.213705, -237.0586, 20.01115, 3.248124, 2.926981, 2.675838, 2.194694, 1.963551, 1.822408, -0.3177351, -0.6698783, 0.3099785, -0.6391646, 2, 59.22913, 60.90254, 62.57596, 64.24938, 65.92279, 67.59621, 69.26962, 70.94304, 72.61646, 74.28987, 75.96329, 77.63671, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 55.23, 59.28, 64.82, 66.22, 67.69, 68.93, 70.42, 72, 71.581, 72.95, 75.651, 76.423, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1972	67.690	2263554	3313.4222	1.76720746
Albania	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.230, 59.280, 64.820, 66.220, 67.690, 68.930, 70.420, 72.000, 71.581, 72.950, 75.651, 76.423, 1282697.000, 1476505.000, 1728137.000, 1984060.000, 2263554.000, 2509048.000, 2780097.000, 3075321.000, 3326498.000, 3428038.000, 3508512.000, 3600523.000, 1601.056, 1942.284, 2312.889, 2760.197, 3313.422, 3533.004, 3630.881, 3738.933, 2497.438, 3193.055, 4604.212, 5937.030	-594.0725, 0.3346832, -3.999128, -1.622544, 2.24404, 1.970624, 1.767207, 1.333791, 1.150375, 1.056959, -1.035457, -1.339873, -0.312289, -1.213705, -237.0586, 20.01115, 3.248124, 2.926981, 2.675838, 2.194694, 1.963551, 1.822408, -0.3177351, -0.6698783, 0.3099785, -0.6391646, 2, 59.22913, 60.90254, 62.57596, 64.24938, 65.92279, 67.59621, 69.26962, 70.94304, 72.61646, 74.28987, 75.96329, 77.63671, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 55.23, 59.28, 64.82, 66.22, 67.69, 68.93, 70.42, 72, 71.581, 72.95, 75.651, 76.423, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1977	68.930	2509048	3533.0039	1.33379138
Albania	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.230, 59.280, 64.820, 66.220, 67.690, 68.930, 70.420, 72.000, 71.581, 72.950, 75.651, 76.423, 1282697.000, 1476505.000, 1728137.000, 1984060.000, 2263554.000, 2509048.000, 2780097.000, 3075321.000, 3326498.000, 3428038.000, 3508512.000, 3600523.000, 1601.056, 1942.284, 2312.889, 2760.197, 3313.422, 3533.004, 3630.881, 3738.933, 2497.438, 3193.055, 4604.212, 5937.030	-594.0725, 0.3346832, -3.999128, -1.622544, 2.24404, 1.970624, 1.767207, 1.333791, 1.150375, 1.056959, -1.035457, -1.339873, -0.312289, -1.213705, -237.0586, 20.01115, 3.248124, 2.926981, 2.675838, 2.194694, 1.963551, 1.822408, -0.3177351, -0.6698783, 0.3099785, -0.6391646, 2, 59.22913, 60.90254, 62.57596, 64.24938, 65.92279, 67.59621, 69.26962, 70.94304, 72.61646, 74.28987, 75.96329, 77.63671, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 55.23, 59.28, 64.82, 66.22, 67.69, 68.93, 70.42, 72, 71.581, 72.95, 75.651, 76.423, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1982	70.420	2780097	3630.8807	1.15037529
Albania	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.230, 59.280, 64.820, 66.220, 67.690, 68.930, 70.420, 72.000, 71.581, 72.950, 75.651, 76.423, 1282697.000, 1476505.000, 1728137.000, 1984060.000, 2263554.000, 2509048.000, 2780097.000, 3075321.000, 3326498.000, 3428038.000, 3508512.000, 3600523.000, 1601.056, 1942.284, 2312.889, 2760.197, 3313.422, 3533.004, 3630.881, 3738.933, 2497.438, 3193.055, 4604.212, 5937.030	-594.0725, 0.3346832, -3.999128, -1.622544, 2.24404, 1.970624, 1.767207, 1.333791, 1.150375, 1.056959, -1.035457, -1.339873, -0.312289, -1.213705, -237.0586, 20.01115, 3.248124, 2.926981, 2.675838, 2.194694, 1.963551, 1.822408, -0.3177351, -0.6698783, 0.3099785, -0.6391646, 2, 59.22913, 60.90254, 62.57596, 64.24938, 65.92279, 67.59621, 69.26962, 70.94304, 72.61646, 74.28987, 75.96329, 77.63671, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 55.23, 59.28, 64.82, 66.22, 67.69, 68.93, 70.42, 72, 71.581, 72.95, 75.651, 76.423, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1987	72.000	3075321	3738.9327	1.05695921
Albania	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.230, 59.280, 64.820, 66.220, 67.690, 68.930, 70.420, 72.000, 71.581, 72.950, 75.651, 76.423, 1282697.000, 1476505.000, 1728137.000, 1984060.000, 2263554.000, 2509048.000, 2780097.000, 3075321.000, 3326498.000, 3428038.000, 3508512.000, 3600523.000, 1601.056, 1942.284, 2312.889, 2760.197, 3313.422, 3533.004, 3630.881, 3738.933, 2497.438, 3193.055, 4604.212, 5937.030	-594.0725, 0.3346832, -3.999128, -1.622544, 2.24404, 1.970624, 1.767207, 1.333791, 1.150375, 1.056959, -1.035457, -1.339873, -0.312289, -1.213705, -237.0586, 20.01115, 3.248124, 2.926981, 2.675838, 2.194694, 1.963551, 1.822408, -0.3177351, -0.6698783, 0.3099785, -0.6391646, 2, 59.22913, 60.90254, 62.57596, 64.24938, 65.92279, 67.59621, 69.26962, 70.94304, 72.61646, 74.28987, 75.96329, 77.63671, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 55.23, 59.28, 64.82, 66.22, 67.69, 68.93, 70.42, 72, 71.581, 72.95, 75.651, 76.423, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1992	71.581	3326498	2497.4379	-1.03545688
Albania	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.230, 59.280, 64.820, 66.220, 67.690, 68.930, 70.420, 72.000, 71.581, 72.950, 75.651, 76.423, 1282697.000, 1476505.000, 1728137.000, 1984060.000, 2263554.000, 2509048.000, 2780097.000, 3075321.000, 3326498.000, 3428038.000, 3508512.000, 3600523.000, 1601.056, 1942.284, 2312.889, 2760.197, 3313.422, 3533.004, 3630.881, 3738.933, 2497.438, 3193.055, 4604.212, 5937.030	-594.0725, 0.3346832, -3.999128, -1.622544, 2.24404, 1.970624, 1.767207, 1.333791, 1.150375, 1.056959, -1.035457, -1.339873, -0.312289, -1.213705, -237.0586, 20.01115, 3.248124, 2.926981, 2.675838, 2.194694, 1.963551, 1.822408, -0.3177351, -0.6698783, 0.3099785, -0.6391646, 2, 59.22913, 60.90254, 62.57596, 64.24938, 65.92279, 67.59621, 69.26962, 70.94304, 72.61646, 74.28987, 75.96329, 77.63671, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 55.23, 59.28, 64.82, 66.22, 67.69, 68.93, 70.42, 72, 71.581, 72.95, 75.651, 76.423, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1997	72.950	3428038	3193.0546	-1.33987296
Albania	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.230, 59.280, 64.820, 66.220, 67.690, 68.930, 70.420, 72.000, 71.581, 72.950, 75.651, 76.423, 1282697.000, 1476505.000, 1728137.000, 1984060.000, 2263554.000, 2509048.000, 2780097.000, 3075321.000, 3326498.000, 3428038.000, 3508512.000, 3600523.000, 1601.056, 1942.284, 2312.889, 2760.197, 3313.422, 3533.004, 3630.881, 3738.933, 2497.438, 3193.055, 4604.212, 5937.030	-594.0725, 0.3346832, -3.999128, -1.622544, 2.24404, 1.970624, 1.767207, 1.333791, 1.150375, 1.056959, -1.035457, -1.339873, -0.312289, -1.213705, -237.0586, 20.01115, 3.248124, 2.926981, 2.675838, 2.194694, 1.963551, 1.822408, -0.3177351, -0.6698783, 0.3099785, -0.6391646, 2, 59.22913, 60.90254, 62.57596, 64.24938, 65.92279, 67.59621, 69.26962, 70.94304, 72.61646, 74.28987, 75.96329, 77.63671, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 55.23, 59.28, 64.82, 66.22, 67.69, 68.93, 70.42, 72, 71.581, 72.95, 75.651, 76.423, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	2002	75.651	3508512	4604.2117	-0.31228904
Albania	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.230, 59.280, 64.820, 66.220, 67.690, 68.930, 70.420, 72.000, 71.581, 72.950, 75.651, 76.423, 1282697.000, 1476505.000, 1728137.000, 1984060.000, 2263554.000, 2509048.000, 2780097.000, 3075321.000, 3326498.000, 3428038.000, 3508512.000, 3600523.000, 1601.056, 1942.284, 2312.889, 2760.197, 3313.422, 3533.004, 3630.881, 3738.933, 2497.438, 3193.055, 4604.212, 5937.030	-594.0725, 0.3346832, -3.999128, -1.622544, 2.24404, 1.970624, 1.767207, 1.333791, 1.150375, 1.056959, -1.035457, -1.339873, -0.312289, -1.213705, -237.0586, 20.01115, 3.248124, 2.926981, 2.675838, 2.194694, 1.963551, 1.822408, -0.3177351, -0.6698783, 0.3099785, -0.6391646, 2, 59.22913, 60.90254, 62.57596, 64.24938, 65.92279, 67.59621, 69.26962, 70.94304, 72.61646, 74.28987, 75.96329, 77.63671, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 55.23, 59.28, 64.82, 66.22, 67.69, 68.93, 70.42, 72, 71.581, 72.95, 75.651, 76.423, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	2007	76.423	3600523	5937.0295	-1.21370513
Algeria	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.077, 45.685, 48.303, 51.407, 54.518, 58.014, 61.368, 65.799, 67.744, 69.152, 70.994, 72.301, 9279525.000, 10270856.000, 11000948.000, 12760499.000, 14760787.000, 17152804.000, 20033753.000, 23254956.000, 26298373.000, 29072015.000, 31287142.000, 33333216.000, 2449.008, 3013.976, 2550.817, 3246.992, 4182.664, 4910.417, 5745.160, 5681.359, 5023.217, 4797.295, 5288.040, 6223.367	-1067.859, 0.5692797, -0.2979744, -0.536373, -0.7647716, -0.5071702, -0.2425688, 0.4070326, 0.914634, 2.499235, 1.597837, 0.1594382, -0.8449604, -2.384359, -204.4865, 34.03798, -0.6280719, -0.4013136, -0.1675554, 0.4512029, 0.9279612, 2.481719, 1.549478, 0.08023599, -0.9550057, -2.525247, 2, 43.37497, 46.22137, 49.06777, 51.91417, 54.76057, 57.60697, 60.45337, 63.29976, 66.14616, 68.99256, 71.83896, 74.68536, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 43.077, 45.685, 48.303, 51.407, 54.518, 58.014, 61.368, 65.799, 67.744, 69.152, 70.994, 72.301, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1952	43.077	9279525	2449.0082	-0.29797436
Algeria	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.077, 45.685, 48.303, 51.407, 54.518, 58.014, 61.368, 65.799, 67.744, 69.152, 70.994, 72.301, 9279525.000, 10270856.000, 11000948.000, 12760499.000, 14760787.000, 17152804.000, 20033753.000, 23254956.000, 26298373.000, 29072015.000, 31287142.000, 33333216.000, 2449.008, 3013.976, 2550.817, 3246.992, 4182.664, 4910.417, 5745.160, 5681.359, 5023.217, 4797.295, 5288.040, 6223.367	-1067.859, 0.5692797, -0.2979744, -0.536373, -0.7647716, -0.5071702, -0.2425688, 0.4070326, 0.914634, 2.499235, 1.597837, 0.1594382, -0.8449604, -2.384359, -204.4865, 34.03798, -0.6280719, -0.4013136, -0.1675554, 0.4512029, 0.9279612, 2.481719, 1.549478, 0.08023599, -0.9550057, -2.525247, 2, 43.37497, 46.22137, 49.06777, 51.91417, 54.76057, 57.60697, 60.45337, 63.29976, 66.14616, 68.99256, 71.83896, 74.68536, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 43.077, 45.685, 48.303, 51.407, 54.518, 58.014, 61.368, 65.799, 67.744, 69.152, 70.994, 72.301, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1957	45.685	10270856	3013.9760	-0.53637296
Algeria	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.077, 45.685, 48.303, 51.407, 54.518, 58.014, 61.368, 65.799, 67.744, 69.152, 70.994, 72.301, 9279525.000, 10270856.000, 11000948.000, 12760499.000, 14760787.000, 17152804.000, 20033753.000, 23254956.000, 26298373.000, 29072015.000, 31287142.000, 33333216.000, 2449.008, 3013.976, 2550.817, 3246.992, 4182.664, 4910.417, 5745.160, 5681.359, 5023.217, 4797.295, 5288.040, 6223.367	-1067.859, 0.5692797, -0.2979744, -0.536373, -0.7647716, -0.5071702, -0.2425688, 0.4070326, 0.914634, 2.499235, 1.597837, 0.1594382, -0.8449604, -2.384359, -204.4865, 34.03798, -0.6280719, -0.4013136, -0.1675554, 0.4512029, 0.9279612, 2.481719, 1.549478, 0.08023599, -0.9550057, -2.525247, 2, 43.37497, 46.22137, 49.06777, 51.91417, 54.76057, 57.60697, 60.45337, 63.29976, 66.14616, 68.99256, 71.83896, 74.68536, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 43.077, 45.685, 48.303, 51.407, 54.518, 58.014, 61.368, 65.799, 67.744, 69.152, 70.994, 72.301, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1962	48.303	11000948	2550.8169	-0.76477156
Algeria	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.077, 45.685, 48.303, 51.407, 54.518, 58.014, 61.368, 65.799, 67.744, 69.152, 70.994, 72.301, 9279525.000, 10270856.000, 11000948.000, 12760499.000, 14760787.000, 17152804.000, 20033753.000, 23254956.000, 26298373.000, 29072015.000, 31287142.000, 33333216.000, 2449.008, 3013.976, 2550.817, 3246.992, 4182.664, 4910.417, 5745.160, 5681.359, 5023.217, 4797.295, 5288.040, 6223.367	-1067.859, 0.5692797, -0.2979744, -0.536373, -0.7647716, -0.5071702, -0.2425688, 0.4070326, 0.914634, 2.499235, 1.597837, 0.1594382, -0.8449604, -2.384359, -204.4865, 34.03798, -0.6280719, -0.4013136, -0.1675554, 0.4512029, 0.9279612, 2.481719, 1.549478, 0.08023599, -0.9550057, -2.525247, 2, 43.37497, 46.22137, 49.06777, 51.91417, 54.76057, 57.60697, 60.45337, 63.29976, 66.14616, 68.99256, 71.83896, 74.68536, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 43.077, 45.685, 48.303, 51.407, 54.518, 58.014, 61.368, 65.799, 67.744, 69.152, 70.994, 72.301, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1967	51.407	12760499	3246.9918	-0.50717016
Algeria	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.077, 45.685, 48.303, 51.407, 54.518, 58.014, 61.368, 65.799, 67.744, 69.152, 70.994, 72.301, 9279525.000, 10270856.000, 11000948.000, 12760499.000, 14760787.000, 17152804.000, 20033753.000, 23254956.000, 26298373.000, 29072015.000, 31287142.000, 33333216.000, 2449.008, 3013.976, 2550.817, 3246.992, 4182.664, 4910.417, 5745.160, 5681.359, 5023.217, 4797.295, 5288.040, 6223.367	-1067.859, 0.5692797, -0.2979744, -0.536373, -0.7647716, -0.5071702, -0.2425688, 0.4070326, 0.914634, 2.499235, 1.597837, 0.1594382, -0.8449604, -2.384359, -204.4865, 34.03798, -0.6280719, -0.4013136, -0.1675554, 0.4512029, 0.9279612, 2.481719, 1.549478, 0.08023599, -0.9550057, -2.525247, 2, 43.37497, 46.22137, 49.06777, 51.91417, 54.76057, 57.60697, 60.45337, 63.29976, 66.14616, 68.99256, 71.83896, 74.68536, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 43.077, 45.685, 48.303, 51.407, 54.518, 58.014, 61.368, 65.799, 67.744, 69.152, 70.994, 72.301, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1972	54.518	14760787	4182.6638	-0.24256876
Algeria	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.077, 45.685, 48.303, 51.407, 54.518, 58.014, 61.368, 65.799, 67.744, 69.152, 70.994, 72.301, 9279525.000, 10270856.000, 11000948.000, 12760499.000, 14760787.000, 17152804.000, 20033753.000, 23254956.000, 26298373.000, 29072015.000, 31287142.000, 33333216.000, 2449.008, 3013.976, 2550.817, 3246.992, 4182.664, 4910.417, 5745.160, 5681.359, 5023.217, 4797.295, 5288.040, 6223.367	-1067.859, 0.5692797, -0.2979744, -0.536373, -0.7647716, -0.5071702, -0.2425688, 0.4070326, 0.914634, 2.499235, 1.597837, 0.1594382, -0.8449604, -2.384359, -204.4865, 34.03798, -0.6280719, -0.4013136, -0.1675554, 0.4512029, 0.9279612, 2.481719, 1.549478, 0.08023599, -0.9550057, -2.525247, 2, 43.37497, 46.22137, 49.06777, 51.91417, 54.76057, 57.60697, 60.45337, 63.29976, 66.14616, 68.99256, 71.83896, 74.68536, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 43.077, 45.685, 48.303, 51.407, 54.518, 58.014, 61.368, 65.799, 67.744, 69.152, 70.994, 72.301, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1977	58.014	17152804	4910.4168	0.40703263
⋮	⋮	⋮	⋮	⋮	⋮	⋮	⋮	⋮
Yemen, Rep.	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.254800e+01, 3.397000e+01, 3.518000e+01, 3.698400e+01, 3.984800e+01, 4.417500e+01, 4.911300e+01, 5.292200e+01, 5.559900e+01, 5.802000e+01, 6.030800e+01, 6.269800e+01, 4.963829e+06, 5.498090e+06, 6.120081e+06, 6.740785e+06, 7.407075e+06, 8.403990e+06, 9.657618e+06, 1.121934e+07, 1.336800e+07, 1.582650e+07, 1.870126e+07, 2.221174e+07, 7.817176e+02, 8.048305e+02, 8.256232e+02, 8.624421e+02, 1.265047e+03, 1.829765e+03, 1.977557e+03, 1.971742e+03, 1.879497e+03, 2.117485e+03, 2.234821e+03, 2.280770e+03	-1151.727, 0.6054594, 2.417718, 0.8124207, -1.004876, -2.228174, -2.391471, -1.091768, 0.8189347, 1.600638, 1.25034, 0.6440431, -0.09525408, -0.7325513, -162.0521, 36.20121, -1.586808, -2.792318, -2.937828, -1.620338, 0.3081517, 1.107642, 0.7751314, 0.1866213, -0.5348889, -1.154399, 2, 30.13028, 33.15758, 36.18488, 39.21217, 42.23947, 45.26677, 48.29407, 51.32136, 54.34866, 57.37596, 60.40325, 63.43055, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 32.548, 33.97, 35.18, 36.984, 39.848, 44.175, 49.113, 52.922, 55.599, 58.02, 60.308, 62.698, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1982	49.113	9657618	1977.5570	0.81893473
Yemen, Rep.	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.254800e+01, 3.397000e+01, 3.518000e+01, 3.698400e+01, 3.984800e+01, 4.417500e+01, 4.911300e+01, 5.292200e+01, 5.559900e+01, 5.802000e+01, 6.030800e+01, 6.269800e+01, 4.963829e+06, 5.498090e+06, 6.120081e+06, 6.740785e+06, 7.407075e+06, 8.403990e+06, 9.657618e+06, 1.121934e+07, 1.336800e+07, 1.582650e+07, 1.870126e+07, 2.221174e+07, 7.817176e+02, 8.048305e+02, 8.256232e+02, 8.624421e+02, 1.265047e+03, 1.829765e+03, 1.977557e+03, 1.971742e+03, 1.879497e+03, 2.117485e+03, 2.234821e+03, 2.280770e+03	-1151.727, 0.6054594, 2.417718, 0.8124207, -1.004876, -2.228174, -2.391471, -1.091768, 0.8189347, 1.600638, 1.25034, 0.6440431, -0.09525408, -0.7325513, -162.0521, 36.20121, -1.586808, -2.792318, -2.937828, -1.620338, 0.3081517, 1.107642, 0.7751314, 0.1866213, -0.5348889, -1.154399, 2, 30.13028, 33.15758, 36.18488, 39.21217, 42.23947, 45.26677, 48.29407, 51.32136, 54.34866, 57.37596, 60.40325, 63.43055, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 32.548, 33.97, 35.18, 36.984, 39.848, 44.175, 49.113, 52.922, 55.599, 58.02, 60.308, 62.698, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1987	52.922	11219340	1971.7415	1.60063753
Yemen, Rep.	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.254800e+01, 3.397000e+01, 3.518000e+01, 3.698400e+01, 3.984800e+01, 4.417500e+01, 4.911300e+01, 5.292200e+01, 5.559900e+01, 5.802000e+01, 6.030800e+01, 6.269800e+01, 4.963829e+06, 5.498090e+06, 6.120081e+06, 6.740785e+06, 7.407075e+06, 8.403990e+06, 9.657618e+06, 1.121934e+07, 1.336800e+07, 1.582650e+07, 1.870126e+07, 2.221174e+07, 7.817176e+02, 8.048305e+02, 8.256232e+02, 8.624421e+02, 1.265047e+03, 1.829765e+03, 1.977557e+03, 1.971742e+03, 1.879497e+03, 2.117485e+03, 2.234821e+03, 2.280770e+03	-1151.727, 0.6054594, 2.417718, 0.8124207, -1.004876, -2.228174, -2.391471, -1.091768, 0.8189347, 1.600638, 1.25034, 0.6440431, -0.09525408, -0.7325513, -162.0521, 36.20121, -1.586808, -2.792318, -2.937828, -1.620338, 0.3081517, 1.107642, 0.7751314, 0.1866213, -0.5348889, -1.154399, 2, 30.13028, 33.15758, 36.18488, 39.21217, 42.23947, 45.26677, 48.29407, 51.32136, 54.34866, 57.37596, 60.40325, 63.43055, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 32.548, 33.97, 35.18, 36.984, 39.848, 44.175, 49.113, 52.922, 55.599, 58.02, 60.308, 62.698, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1992	55.599	13367997	1879.4967	1.25034033
Yemen, Rep.	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.254800e+01, 3.397000e+01, 3.518000e+01, 3.698400e+01, 3.984800e+01, 4.417500e+01, 4.911300e+01, 5.292200e+01, 5.559900e+01, 5.802000e+01, 6.030800e+01, 6.269800e+01, 4.963829e+06, 5.498090e+06, 6.120081e+06, 6.740785e+06, 7.407075e+06, 8.403990e+06, 9.657618e+06, 1.121934e+07, 1.336800e+07, 1.582650e+07, 1.870126e+07, 2.221174e+07, 7.817176e+02, 8.048305e+02, 8.256232e+02, 8.624421e+02, 1.265047e+03, 1.829765e+03, 1.977557e+03, 1.971742e+03, 1.879497e+03, 2.117485e+03, 2.234821e+03, 2.280770e+03	-1151.727, 0.6054594, 2.417718, 0.8124207, -1.004876, -2.228174, -2.391471, -1.091768, 0.8189347, 1.600638, 1.25034, 0.6440431, -0.09525408, -0.7325513, -162.0521, 36.20121, -1.586808, -2.792318, -2.937828, -1.620338, 0.3081517, 1.107642, 0.7751314, 0.1866213, -0.5348889, -1.154399, 2, 30.13028, 33.15758, 36.18488, 39.21217, 42.23947, 45.26677, 48.29407, 51.32136, 54.34866, 57.37596, 60.40325, 63.43055, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 32.548, 33.97, 35.18, 36.984, 39.848, 44.175, 49.113, 52.922, 55.599, 58.02, 60.308, 62.698, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1997	58.020	15826497	2117.4845	0.64404312
Yemen, Rep.	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.254800e+01, 3.397000e+01, 3.518000e+01, 3.698400e+01, 3.984800e+01, 4.417500e+01, 4.911300e+01, 5.292200e+01, 5.559900e+01, 5.802000e+01, 6.030800e+01, 6.269800e+01, 4.963829e+06, 5.498090e+06, 6.120081e+06, 6.740785e+06, 7.407075e+06, 8.403990e+06, 9.657618e+06, 1.121934e+07, 1.336800e+07, 1.582650e+07, 1.870126e+07, 2.221174e+07, 7.817176e+02, 8.048305e+02, 8.256232e+02, 8.624421e+02, 1.265047e+03, 1.829765e+03, 1.977557e+03, 1.971742e+03, 1.879497e+03, 2.117485e+03, 2.234821e+03, 2.280770e+03	-1151.727, 0.6054594, 2.417718, 0.8124207, -1.004876, -2.228174, -2.391471, -1.091768, 0.8189347, 1.600638, 1.25034, 0.6440431, -0.09525408, -0.7325513, -162.0521, 36.20121, -1.586808, -2.792318, -2.937828, -1.620338, 0.3081517, 1.107642, 0.7751314, 0.1866213, -0.5348889, -1.154399, 2, 30.13028, 33.15758, 36.18488, 39.21217, 42.23947, 45.26677, 48.29407, 51.32136, 54.34866, 57.37596, 60.40325, 63.43055, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 32.548, 33.97, 35.18, 36.984, 39.848, 44.175, 49.113, 52.922, 55.599, 58.02, 60.308, 62.698, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	2002	60.308	18701257	2234.8208	-0.09525408
Yemen, Rep.	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.254800e+01, 3.397000e+01, 3.518000e+01, 3.698400e+01, 3.984800e+01, 4.417500e+01, 4.911300e+01, 5.292200e+01, 5.559900e+01, 5.802000e+01, 6.030800e+01, 6.269800e+01, 4.963829e+06, 5.498090e+06, 6.120081e+06, 6.740785e+06, 7.407075e+06, 8.403990e+06, 9.657618e+06, 1.121934e+07, 1.336800e+07, 1.582650e+07, 1.870126e+07, 2.221174e+07, 7.817176e+02, 8.048305e+02, 8.256232e+02, 8.624421e+02, 1.265047e+03, 1.829765e+03, 1.977557e+03, 1.971742e+03, 1.879497e+03, 2.117485e+03, 2.234821e+03, 2.280770e+03	-1151.727, 0.6054594, 2.417718, 0.8124207, -1.004876, -2.228174, -2.391471, -1.091768, 0.8189347, 1.600638, 1.25034, 0.6440431, -0.09525408, -0.7325513, -162.0521, 36.20121, -1.586808, -2.792318, -2.937828, -1.620338, 0.3081517, 1.107642, 0.7751314, 0.1866213, -0.5348889, -1.154399, 2, 30.13028, 33.15758, 36.18488, 39.21217, 42.23947, 45.26677, 48.29407, 51.32136, 54.34866, 57.37596, 60.40325, 63.43055, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 32.548, 33.97, 35.18, 36.984, 39.848, 44.175, 49.113, 52.922, 55.599, 58.02, 60.308, 62.698, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	2007	62.698	22211743	2280.7699	-0.73255128
Zambia	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.100, 40.238, 39.193, 42.384, 2672000.000, 3016000.000, 3421000.000, 3900000.000, 4506497.000, 5216550.000, 6100407.000, 7272406.000, 8381163.000, 9417789.000, 10595811.000, 11746035.000, 1147.389, 1311.957, 1452.726, 1777.077, 1773.498, 1588.688, 1408.679, 1213.315, 1210.885, 1071.354, 1071.614, 1271.212	165.608, -0.06042517, -5.620026, -3.2789, -1.030774, 1.016352, 3.657478, 5.238604, 5.97573, 5.277855, 0.8589814, -4.700893, -5.443767, -1.950641, -159.336, -3.6129, 0.5290378, 2.4435, 4.951963, 6.400425, 7.004887, 6.17435, 1.622812, -4.069725, -4.945263, -1.584801, 2, 47.65803, 47.3559, 47.05377, 46.75165, 46.44952, 46.1474, 45.84527, 45.54314, 45.24102, 44.93889, 44.63677, 44.33464, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.1, 40.238, 39.193, 42.384, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1952	42.038	2672000	1147.3888	-5.62002564
Zambia	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.100, 40.238, 39.193, 42.384, 2672000.000, 3016000.000, 3421000.000, 3900000.000, 4506497.000, 5216550.000, 6100407.000, 7272406.000, 8381163.000, 9417789.000, 10595811.000, 11746035.000, 1147.389, 1311.957, 1452.726, 1777.077, 1773.498, 1588.688, 1408.679, 1213.315, 1210.885, 1071.354, 1071.614, 1271.212	165.608, -0.06042517, -5.620026, -3.2789, -1.030774, 1.016352, 3.657478, 5.238604, 5.97573, 5.277855, 0.8589814, -4.700893, -5.443767, -1.950641, -159.336, -3.6129, 0.5290378, 2.4435, 4.951963, 6.400425, 7.004887, 6.17435, 1.622812, -4.069725, -4.945263, -1.584801, 2, 47.65803, 47.3559, 47.05377, 46.75165, 46.44952, 46.1474, 45.84527, 45.54314, 45.24102, 44.93889, 44.63677, 44.33464, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.1, 40.238, 39.193, 42.384, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1957	44.077	3016000	1311.9568	-3.27889977
Zambia	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.100, 40.238, 39.193, 42.384, 2672000.000, 3016000.000, 3421000.000, 3900000.000, 4506497.000, 5216550.000, 6100407.000, 7272406.000, 8381163.000, 9417789.000, 10595811.000, 11746035.000, 1147.389, 1311.957, 1452.726, 1777.077, 1773.498, 1588.688, 1408.679, 1213.315, 1210.885, 1071.354, 1071.614, 1271.212	165.608, -0.06042517, -5.620026, -3.2789, -1.030774, 1.016352, 3.657478, 5.238604, 5.97573, 5.277855, 0.8589814, -4.700893, -5.443767, -1.950641, -159.336, -3.6129, 0.5290378, 2.4435, 4.951963, 6.400425, 7.004887, 6.17435, 1.622812, -4.069725, -4.945263, -1.584801, 2, 47.65803, 47.3559, 47.05377, 46.75165, 46.44952, 46.1474, 45.84527, 45.54314, 45.24102, 44.93889, 44.63677, 44.33464, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.1, 40.238, 39.193, 42.384, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1962	46.023	3421000	1452.7258	-1.03077389
Zambia	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.100, 40.238, 39.193, 42.384, 2672000.000, 3016000.000, 3421000.000, 3900000.000, 4506497.000, 5216550.000, 6100407.000, 7272406.000, 8381163.000, 9417789.000, 10595811.000, 11746035.000, 1147.389, 1311.957, 1452.726, 1777.077, 1773.498, 1588.688, 1408.679, 1213.315, 1210.885, 1071.354, 1071.614, 1271.212	165.608, -0.06042517, -5.620026, -3.2789, -1.030774, 1.016352, 3.657478, 5.238604, 5.97573, 5.277855, 0.8589814, -4.700893, -5.443767, -1.950641, -159.336, -3.6129, 0.5290378, 2.4435, 4.951963, 6.400425, 7.004887, 6.17435, 1.622812, -4.069725, -4.945263, -1.584801, 2, 47.65803, 47.3559, 47.05377, 46.75165, 46.44952, 46.1474, 45.84527, 45.54314, 45.24102, 44.93889, 44.63677, 44.33464, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.1, 40.238, 39.193, 42.384, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1967	47.768	3900000	1777.0773	1.01635198
Zambia	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.100, 40.238, 39.193, 42.384, 2672000.000, 3016000.000, 3421000.000, 3900000.000, 4506497.000, 5216550.000, 6100407.000, 7272406.000, 8381163.000, 9417789.000, 10595811.000, 11746035.000, 1147.389, 1311.957, 1452.726, 1777.077, 1773.498, 1588.688, 1408.679, 1213.315, 1210.885, 1071.354, 1071.614, 1271.212	165.608, -0.06042517, -5.620026, -3.2789, -1.030774, 1.016352, 3.657478, 5.238604, 5.97573, 5.277855, 0.8589814, -4.700893, -5.443767, -1.950641, -159.336, -3.6129, 0.5290378, 2.4435, 4.951963, 6.400425, 7.004887, 6.17435, 1.622812, -4.069725, -4.945263, -1.584801, 2, 47.65803, 47.3559, 47.05377, 46.75165, 46.44952, 46.1474, 45.84527, 45.54314, 45.24102, 44.93889, 44.63677, 44.33464, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.1, 40.238, 39.193, 42.384, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1972	50.107	4506497	1773.4983	3.65747786
Zambia	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.100, 40.238, 39.193, 42.384, 2672000.000, 3016000.000, 3421000.000, 3900000.000, 4506497.000, 5216550.000, 6100407.000, 7272406.000, 8381163.000, 9417789.000, 10595811.000, 11746035.000, 1147.389, 1311.957, 1452.726, 1777.077, 1773.498, 1588.688, 1408.679, 1213.315, 1210.885, 1071.354, 1071.614, 1271.212	165.608, -0.06042517, -5.620026, -3.2789, -1.030774, 1.016352, 3.657478, 5.238604, 5.97573, 5.277855, 0.8589814, -4.700893, -5.443767, -1.950641, -159.336, -3.6129, 0.5290378, 2.4435, 4.951963, 6.400425, 7.004887, 6.17435, 1.622812, -4.069725, -4.945263, -1.584801, 2, 47.65803, 47.3559, 47.05377, 46.75165, 46.44952, 46.1474, 45.84527, 45.54314, 45.24102, 44.93889, 44.63677, 44.33464, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.1, 40.238, 39.193, 42.384, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1977	51.386	5216550	1588.6883	5.23860373
Zambia	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.100, 40.238, 39.193, 42.384, 2672000.000, 3016000.000, 3421000.000, 3900000.000, 4506497.000, 5216550.000, 6100407.000, 7272406.000, 8381163.000, 9417789.000, 10595811.000, 11746035.000, 1147.389, 1311.957, 1452.726, 1777.077, 1773.498, 1588.688, 1408.679, 1213.315, 1210.885, 1071.354, 1071.614, 1271.212	165.608, -0.06042517, -5.620026, -3.2789, -1.030774, 1.016352, 3.657478, 5.238604, 5.97573, 5.277855, 0.8589814, -4.700893, -5.443767, -1.950641, -159.336, -3.6129, 0.5290378, 2.4435, 4.951963, 6.400425, 7.004887, 6.17435, 1.622812, -4.069725, -4.945263, -1.584801, 2, 47.65803, 47.3559, 47.05377, 46.75165, 46.44952, 46.1474, 45.84527, 45.54314, 45.24102, 44.93889, 44.63677, 44.33464, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.1, 40.238, 39.193, 42.384, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1982	51.821	6100407	1408.6786	5.97572960
Zambia	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.100, 40.238, 39.193, 42.384, 2672000.000, 3016000.000, 3421000.000, 3900000.000, 4506497.000, 5216550.000, 6100407.000, 7272406.000, 8381163.000, 9417789.000, 10595811.000, 11746035.000, 1147.389, 1311.957, 1452.726, 1777.077, 1773.498, 1588.688, 1408.679, 1213.315, 1210.885, 1071.354, 1071.614, 1271.212	165.608, -0.06042517, -5.620026, -3.2789, -1.030774, 1.016352, 3.657478, 5.238604, 5.97573, 5.277855, 0.8589814, -4.700893, -5.443767, -1.950641, -159.336, -3.6129, 0.5290378, 2.4435, 4.951963, 6.400425, 7.004887, 6.17435, 1.622812, -4.069725, -4.945263, -1.584801, 2, 47.65803, 47.3559, 47.05377, 46.75165, 46.44952, 46.1474, 45.84527, 45.54314, 45.24102, 44.93889, 44.63677, 44.33464, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.1, 40.238, 39.193, 42.384, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1987	50.821	7272406	1213.3151	5.27785548
Zambia	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.100, 40.238, 39.193, 42.384, 2672000.000, 3016000.000, 3421000.000, 3900000.000, 4506497.000, 5216550.000, 6100407.000, 7272406.000, 8381163.000, 9417789.000, 10595811.000, 11746035.000, 1147.389, 1311.957, 1452.726, 1777.077, 1773.498, 1588.688, 1408.679, 1213.315, 1210.885, 1071.354, 1071.614, 1271.212	165.608, -0.06042517, -5.620026, -3.2789, -1.030774, 1.016352, 3.657478, 5.238604, 5.97573, 5.277855, 0.8589814, -4.700893, -5.443767, -1.950641, -159.336, -3.6129, 0.5290378, 2.4435, 4.951963, 6.400425, 7.004887, 6.17435, 1.622812, -4.069725, -4.945263, -1.584801, 2, 47.65803, 47.3559, 47.05377, 46.75165, 46.44952, 46.1474, 45.84527, 45.54314, 45.24102, 44.93889, 44.63677, 44.33464, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.1, 40.238, 39.193, 42.384, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1992	46.100	8381163	1210.8846	0.85898135
Zambia	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.100, 40.238, 39.193, 42.384, 2672000.000, 3016000.000, 3421000.000, 3900000.000, 4506497.000, 5216550.000, 6100407.000, 7272406.000, 8381163.000, 9417789.000, 10595811.000, 11746035.000, 1147.389, 1311.957, 1452.726, 1777.077, 1773.498, 1588.688, 1408.679, 1213.315, 1210.885, 1071.354, 1071.614, 1271.212	165.608, -0.06042517, -5.620026, -3.2789, -1.030774, 1.016352, 3.657478, 5.238604, 5.97573, 5.277855, 0.8589814, -4.700893, -5.443767, -1.950641, -159.336, -3.6129, 0.5290378, 2.4435, 4.951963, 6.400425, 7.004887, 6.17435, 1.622812, -4.069725, -4.945263, -1.584801, 2, 47.65803, 47.3559, 47.05377, 46.75165, 46.44952, 46.1474, 45.84527, 45.54314, 45.24102, 44.93889, 44.63677, 44.33464, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.1, 40.238, 39.193, 42.384, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1997	40.238	9417789	1071.3538	-4.70089277
Zambia	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.100, 40.238, 39.193, 42.384, 2672000.000, 3016000.000, 3421000.000, 3900000.000, 4506497.000, 5216550.000, 6100407.000, 7272406.000, 8381163.000, 9417789.000, 10595811.000, 11746035.000, 1147.389, 1311.957, 1452.726, 1777.077, 1773.498, 1588.688, 1408.679, 1213.315, 1210.885, 1071.354, 1071.614, 1271.212	165.608, -0.06042517, -5.620026, -3.2789, -1.030774, 1.016352, 3.657478, 5.238604, 5.97573, 5.277855, 0.8589814, -4.700893, -5.443767, -1.950641, -159.336, -3.6129, 0.5290378, 2.4435, 4.951963, 6.400425, 7.004887, 6.17435, 1.622812, -4.069725, -4.945263, -1.584801, 2, 47.65803, 47.3559, 47.05377, 46.75165, 46.44952, 46.1474, 45.84527, 45.54314, 45.24102, 44.93889, 44.63677, 44.33464, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.1, 40.238, 39.193, 42.384, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	2002	39.193	10595811	1071.6139	-5.44376690
Zambia	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.100, 40.238, 39.193, 42.384, 2672000.000, 3016000.000, 3421000.000, 3900000.000, 4506497.000, 5216550.000, 6100407.000, 7272406.000, 8381163.000, 9417789.000, 10595811.000, 11746035.000, 1147.389, 1311.957, 1452.726, 1777.077, 1773.498, 1588.688, 1408.679, 1213.315, 1210.885, 1071.354, 1071.614, 1271.212	165.608, -0.06042517, -5.620026, -3.2789, -1.030774, 1.016352, 3.657478, 5.238604, 5.97573, 5.277855, 0.8589814, -4.700893, -5.443767, -1.950641, -159.336, -3.6129, 0.5290378, 2.4435, 4.951963, 6.400425, 7.004887, 6.17435, 1.622812, -4.069725, -4.945263, -1.584801, 2, 47.65803, 47.3559, 47.05377, 46.75165, 46.44952, 46.1474, 45.84527, 45.54314, 45.24102, 44.93889, 44.63677, 44.33464, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.1, 40.238, 39.193, 42.384, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	2007	42.384	11746035	1271.2116	-1.95064103
Zimbabwe	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.845100e+01, 5.046900e+01, 5.235800e+01, 5.399500e+01, 5.563500e+01, 5.767400e+01, 6.036300e+01, 6.235100e+01, 6.037700e+01, 4.680900e+01, 3.998900e+01, 4.348700e+01, 3.080907e+06, 3.646340e+06, 4.277736e+06, 4.995432e+06, 5.861135e+06, 6.642107e+06, 7.636524e+06, 9.216418e+06, 1.070434e+07, 1.140495e+07, 1.192656e+07, 1.231114e+07, 4.068841e+02, 5.187643e+02, 5.272722e+02, 5.697951e+02, 7.993622e+02, 6.855877e+02, 7.888550e+02, 7.061573e+02, 6.934208e+02, 7.924500e+02, 6.720386e+02, 4.697093e+02	236.7982, -0.09302098, -6.770244, -4.287139, -1.933034, 0.1690711, 2.274176, 4.778281, 7.932386, 10.38549, 8.876596, -4.2263, -10.58119, -6.61809, -182.4306, -5.561846, -0.003763574, 1.916383, 3.839529, 6.161675, 9.133821, 11.40497, 9.714114, -3.57074, -10.10759, -6.326448, 2, 55.22124, 54.75614, 54.29103, 53.82593, 53.36082, 52.89572, 52.43061, 51.96551, 51.5004, 51.0353, 50.57019, 50.10509, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 48.451, 50.469, 52.358, 53.995, 55.635, 57.674, 60.363, 62.351, 60.377, 46.809, 39.989, 43.487, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1952	48.451	3080907	406.8841	-6.77024359
Zimbabwe	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.845100e+01, 5.046900e+01, 5.235800e+01, 5.399500e+01, 5.563500e+01, 5.767400e+01, 6.036300e+01, 6.235100e+01, 6.037700e+01, 4.680900e+01, 3.998900e+01, 4.348700e+01, 3.080907e+06, 3.646340e+06, 4.277736e+06, 4.995432e+06, 5.861135e+06, 6.642107e+06, 7.636524e+06, 9.216418e+06, 1.070434e+07, 1.140495e+07, 1.192656e+07, 1.231114e+07, 4.068841e+02, 5.187643e+02, 5.272722e+02, 5.697951e+02, 7.993622e+02, 6.855877e+02, 7.888550e+02, 7.061573e+02, 6.934208e+02, 7.924500e+02, 6.720386e+02, 4.697093e+02	236.7982, -0.09302098, -6.770244, -4.287139, -1.933034, 0.1690711, 2.274176, 4.778281, 7.932386, 10.38549, 8.876596, -4.2263, -10.58119, -6.61809, -182.4306, -5.561846, -0.003763574, 1.916383, 3.839529, 6.161675, 9.133821, 11.40497, 9.714114, -3.57074, -10.10759, -6.326448, 2, 55.22124, 54.75614, 54.29103, 53.82593, 53.36082, 52.89572, 52.43061, 51.96551, 51.5004, 51.0353, 50.57019, 50.10509, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 48.451, 50.469, 52.358, 53.995, 55.635, 57.674, 60.363, 62.351, 60.377, 46.809, 39.989, 43.487, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1957	50.469	3646340	518.7643	-4.28713869
Zimbabwe	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.845100e+01, 5.046900e+01, 5.235800e+01, 5.399500e+01, 5.563500e+01, 5.767400e+01, 6.036300e+01, 6.235100e+01, 6.037700e+01, 4.680900e+01, 3.998900e+01, 4.348700e+01, 3.080907e+06, 3.646340e+06, 4.277736e+06, 4.995432e+06, 5.861135e+06, 6.642107e+06, 7.636524e+06, 9.216418e+06, 1.070434e+07, 1.140495e+07, 1.192656e+07, 1.231114e+07, 4.068841e+02, 5.187643e+02, 5.272722e+02, 5.697951e+02, 7.993622e+02, 6.855877e+02, 7.888550e+02, 7.061573e+02, 6.934208e+02, 7.924500e+02, 6.720386e+02, 4.697093e+02	236.7982, -0.09302098, -6.770244, -4.287139, -1.933034, 0.1690711, 2.274176, 4.778281, 7.932386, 10.38549, 8.876596, -4.2263, -10.58119, -6.61809, -182.4306, -5.561846, -0.003763574, 1.916383, 3.839529, 6.161675, 9.133821, 11.40497, 9.714114, -3.57074, -10.10759, -6.326448, 2, 55.22124, 54.75614, 54.29103, 53.82593, 53.36082, 52.89572, 52.43061, 51.96551, 51.5004, 51.0353, 50.57019, 50.10509, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 48.451, 50.469, 52.358, 53.995, 55.635, 57.674, 60.363, 62.351, 60.377, 46.809, 39.989, 43.487, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1962	52.358	4277736	527.2722	-1.93303380
Zimbabwe	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.845100e+01, 5.046900e+01, 5.235800e+01, 5.399500e+01, 5.563500e+01, 5.767400e+01, 6.036300e+01, 6.235100e+01, 6.037700e+01, 4.680900e+01, 3.998900e+01, 4.348700e+01, 3.080907e+06, 3.646340e+06, 4.277736e+06, 4.995432e+06, 5.861135e+06, 6.642107e+06, 7.636524e+06, 9.216418e+06, 1.070434e+07, 1.140495e+07, 1.192656e+07, 1.231114e+07, 4.068841e+02, 5.187643e+02, 5.272722e+02, 5.697951e+02, 7.993622e+02, 6.855877e+02, 7.888550e+02, 7.061573e+02, 6.934208e+02, 7.924500e+02, 6.720386e+02, 4.697093e+02	236.7982, -0.09302098, -6.770244, -4.287139, -1.933034, 0.1690711, 2.274176, 4.778281, 7.932386, 10.38549, 8.876596, -4.2263, -10.58119, -6.61809, -182.4306, -5.561846, -0.003763574, 1.916383, 3.839529, 6.161675, 9.133821, 11.40497, 9.714114, -3.57074, -10.10759, -6.326448, 2, 55.22124, 54.75614, 54.29103, 53.82593, 53.36082, 52.89572, 52.43061, 51.96551, 51.5004, 51.0353, 50.57019, 50.10509, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 48.451, 50.469, 52.358, 53.995, 55.635, 57.674, 60.363, 62.351, 60.377, 46.809, 39.989, 43.487, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1967	53.995	4995432	569.7951	0.16907110
Zimbabwe	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.845100e+01, 5.046900e+01, 5.235800e+01, 5.399500e+01, 5.563500e+01, 5.767400e+01, 6.036300e+01, 6.235100e+01, 6.037700e+01, 4.680900e+01, 3.998900e+01, 4.348700e+01, 3.080907e+06, 3.646340e+06, 4.277736e+06, 4.995432e+06, 5.861135e+06, 6.642107e+06, 7.636524e+06, 9.216418e+06, 1.070434e+07, 1.140495e+07, 1.192656e+07, 1.231114e+07, 4.068841e+02, 5.187643e+02, 5.272722e+02, 5.697951e+02, 7.993622e+02, 6.855877e+02, 7.888550e+02, 7.061573e+02, 6.934208e+02, 7.924500e+02, 6.720386e+02, 4.697093e+02	236.7982, -0.09302098, -6.770244, -4.287139, -1.933034, 0.1690711, 2.274176, 4.778281, 7.932386, 10.38549, 8.876596, -4.2263, -10.58119, -6.61809, -182.4306, -5.561846, -0.003763574, 1.916383, 3.839529, 6.161675, 9.133821, 11.40497, 9.714114, -3.57074, -10.10759, -6.326448, 2, 55.22124, 54.75614, 54.29103, 53.82593, 53.36082, 52.89572, 52.43061, 51.96551, 51.5004, 51.0353, 50.57019, 50.10509, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 48.451, 50.469, 52.358, 53.995, 55.635, 57.674, 60.363, 62.351, 60.377, 46.809, 39.989, 43.487, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1972	55.635	5861135	799.3622	2.27417599
Zimbabwe	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.845100e+01, 5.046900e+01, 5.235800e+01, 5.399500e+01, 5.563500e+01, 5.767400e+01, 6.036300e+01, 6.235100e+01, 6.037700e+01, 4.680900e+01, 3.998900e+01, 4.348700e+01, 3.080907e+06, 3.646340e+06, 4.277736e+06, 4.995432e+06, 5.861135e+06, 6.642107e+06, 7.636524e+06, 9.216418e+06, 1.070434e+07, 1.140495e+07, 1.192656e+07, 1.231114e+07, 4.068841e+02, 5.187643e+02, 5.272722e+02, 5.697951e+02, 7.993622e+02, 6.855877e+02, 7.888550e+02, 7.061573e+02, 6.934208e+02, 7.924500e+02, 6.720386e+02, 4.697093e+02	236.7982, -0.09302098, -6.770244, -4.287139, -1.933034, 0.1690711, 2.274176, 4.778281, 7.932386, 10.38549, 8.876596, -4.2263, -10.58119, -6.61809, -182.4306, -5.561846, -0.003763574, 1.916383, 3.839529, 6.161675, 9.133821, 11.40497, 9.714114, -3.57074, -10.10759, -6.326448, 2, 55.22124, 54.75614, 54.29103, 53.82593, 53.36082, 52.89572, 52.43061, 51.96551, 51.5004, 51.0353, 50.57019, 50.10509, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 48.451, 50.469, 52.358, 53.995, 55.635, 57.674, 60.363, 62.351, 60.377, 46.809, 39.989, 43.487, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1977	57.674	6642107	685.5877	4.77828089
Zimbabwe	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.845100e+01, 5.046900e+01, 5.235800e+01, 5.399500e+01, 5.563500e+01, 5.767400e+01, 6.036300e+01, 6.235100e+01, 6.037700e+01, 4.680900e+01, 3.998900e+01, 4.348700e+01, 3.080907e+06, 3.646340e+06, 4.277736e+06, 4.995432e+06, 5.861135e+06, 6.642107e+06, 7.636524e+06, 9.216418e+06, 1.070434e+07, 1.140495e+07, 1.192656e+07, 1.231114e+07, 4.068841e+02, 5.187643e+02, 5.272722e+02, 5.697951e+02, 7.993622e+02, 6.855877e+02, 7.888550e+02, 7.061573e+02, 6.934208e+02, 7.924500e+02, 6.720386e+02, 4.697093e+02	236.7982, -0.09302098, -6.770244, -4.287139, -1.933034, 0.1690711, 2.274176, 4.778281, 7.932386, 10.38549, 8.876596, -4.2263, -10.58119, -6.61809, -182.4306, -5.561846, -0.003763574, 1.916383, 3.839529, 6.161675, 9.133821, 11.40497, 9.714114, -3.57074, -10.10759, -6.326448, 2, 55.22124, 54.75614, 54.29103, 53.82593, 53.36082, 52.89572, 52.43061, 51.96551, 51.5004, 51.0353, 50.57019, 50.10509, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 48.451, 50.469, 52.358, 53.995, 55.635, 57.674, 60.363, 62.351, 60.377, 46.809, 39.989, 43.487, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1982	60.363	7636524	788.8550	7.93238578
Zimbabwe	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.845100e+01, 5.046900e+01, 5.235800e+01, 5.399500e+01, 5.563500e+01, 5.767400e+01, 6.036300e+01, 6.235100e+01, 6.037700e+01, 4.680900e+01, 3.998900e+01, 4.348700e+01, 3.080907e+06, 3.646340e+06, 4.277736e+06, 4.995432e+06, 5.861135e+06, 6.642107e+06, 7.636524e+06, 9.216418e+06, 1.070434e+07, 1.140495e+07, 1.192656e+07, 1.231114e+07, 4.068841e+02, 5.187643e+02, 5.272722e+02, 5.697951e+02, 7.993622e+02, 6.855877e+02, 7.888550e+02, 7.061573e+02, 6.934208e+02, 7.924500e+02, 6.720386e+02, 4.697093e+02	236.7982, -0.09302098, -6.770244, -4.287139, -1.933034, 0.1690711, 2.274176, 4.778281, 7.932386, 10.38549, 8.876596, -4.2263, -10.58119, -6.61809, -182.4306, -5.561846, -0.003763574, 1.916383, 3.839529, 6.161675, 9.133821, 11.40497, 9.714114, -3.57074, -10.10759, -6.326448, 2, 55.22124, 54.75614, 54.29103, 53.82593, 53.36082, 52.89572, 52.43061, 51.96551, 51.5004, 51.0353, 50.57019, 50.10509, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 48.451, 50.469, 52.358, 53.995, 55.635, 57.674, 60.363, 62.351, 60.377, 46.809, 39.989, 43.487, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1987	62.351	9216418	706.1573	10.38549068
Zimbabwe	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.845100e+01, 5.046900e+01, 5.235800e+01, 5.399500e+01, 5.563500e+01, 5.767400e+01, 6.036300e+01, 6.235100e+01, 6.037700e+01, 4.680900e+01, 3.998900e+01, 4.348700e+01, 3.080907e+06, 3.646340e+06, 4.277736e+06, 4.995432e+06, 5.861135e+06, 6.642107e+06, 7.636524e+06, 9.216418e+06, 1.070434e+07, 1.140495e+07, 1.192656e+07, 1.231114e+07, 4.068841e+02, 5.187643e+02, 5.272722e+02, 5.697951e+02, 7.993622e+02, 6.855877e+02, 7.888550e+02, 7.061573e+02, 6.934208e+02, 7.924500e+02, 6.720386e+02, 4.697093e+02	236.7982, -0.09302098, -6.770244, -4.287139, -1.933034, 0.1690711, 2.274176, 4.778281, 7.932386, 10.38549, 8.876596, -4.2263, -10.58119, -6.61809, -182.4306, -5.561846, -0.003763574, 1.916383, 3.839529, 6.161675, 9.133821, 11.40497, 9.714114, -3.57074, -10.10759, -6.326448, 2, 55.22124, 54.75614, 54.29103, 53.82593, 53.36082, 52.89572, 52.43061, 51.96551, 51.5004, 51.0353, 50.57019, 50.10509, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 48.451, 50.469, 52.358, 53.995, 55.635, 57.674, 60.363, 62.351, 60.377, 46.809, 39.989, 43.487, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1992	60.377	10704340	693.4208	8.87659557
Zimbabwe	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.845100e+01, 5.046900e+01, 5.235800e+01, 5.399500e+01, 5.563500e+01, 5.767400e+01, 6.036300e+01, 6.235100e+01, 6.037700e+01, 4.680900e+01, 3.998900e+01, 4.348700e+01, 3.080907e+06, 3.646340e+06, 4.277736e+06, 4.995432e+06, 5.861135e+06, 6.642107e+06, 7.636524e+06, 9.216418e+06, 1.070434e+07, 1.140495e+07, 1.192656e+07, 1.231114e+07, 4.068841e+02, 5.187643e+02, 5.272722e+02, 5.697951e+02, 7.993622e+02, 6.855877e+02, 7.888550e+02, 7.061573e+02, 6.934208e+02, 7.924500e+02, 6.720386e+02, 4.697093e+02	236.7982, -0.09302098, -6.770244, -4.287139, -1.933034, 0.1690711, 2.274176, 4.778281, 7.932386, 10.38549, 8.876596, -4.2263, -10.58119, -6.61809, -182.4306, -5.561846, -0.003763574, 1.916383, 3.839529, 6.161675, 9.133821, 11.40497, 9.714114, -3.57074, -10.10759, -6.326448, 2, 55.22124, 54.75614, 54.29103, 53.82593, 53.36082, 52.89572, 52.43061, 51.96551, 51.5004, 51.0353, 50.57019, 50.10509, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 48.451, 50.469, 52.358, 53.995, 55.635, 57.674, 60.363, 62.351, 60.377, 46.809, 39.989, 43.487, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	1997	46.809	11404948	792.4500	-4.22629953
Zimbabwe	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.845100e+01, 5.046900e+01, 5.235800e+01, 5.399500e+01, 5.563500e+01, 5.767400e+01, 6.036300e+01, 6.235100e+01, 6.037700e+01, 4.680900e+01, 3.998900e+01, 4.348700e+01, 3.080907e+06, 3.646340e+06, 4.277736e+06, 4.995432e+06, 5.861135e+06, 6.642107e+06, 7.636524e+06, 9.216418e+06, 1.070434e+07, 1.140495e+07, 1.192656e+07, 1.231114e+07, 4.068841e+02, 5.187643e+02, 5.272722e+02, 5.697951e+02, 7.993622e+02, 6.855877e+02, 7.888550e+02, 7.061573e+02, 6.934208e+02, 7.924500e+02, 6.720386e+02, 4.697093e+02	236.7982, -0.09302098, -6.770244, -4.287139, -1.933034, 0.1690711, 2.274176, 4.778281, 7.932386, 10.38549, 8.876596, -4.2263, -10.58119, -6.61809, -182.4306, -5.561846, -0.003763574, 1.916383, 3.839529, 6.161675, 9.133821, 11.40497, 9.714114, -3.57074, -10.10759, -6.326448, 2, 55.22124, 54.75614, 54.29103, 53.82593, 53.36082, 52.89572, 52.43061, 51.96551, 51.5004, 51.0353, 50.57019, 50.10509, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 48.451, 50.469, 52.358, 53.995, 55.635, 57.674, 60.363, 62.351, 60.377, 46.809, 39.989, 43.487, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	2002	39.989	11926563	672.0386	-10.58119464
Zimbabwe	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.845100e+01, 5.046900e+01, 5.235800e+01, 5.399500e+01, 5.563500e+01, 5.767400e+01, 6.036300e+01, 6.235100e+01, 6.037700e+01, 4.680900e+01, 3.998900e+01, 4.348700e+01, 3.080907e+06, 3.646340e+06, 4.277736e+06, 4.995432e+06, 5.861135e+06, 6.642107e+06, 7.636524e+06, 9.216418e+06, 1.070434e+07, 1.140495e+07, 1.192656e+07, 1.231114e+07, 4.068841e+02, 5.187643e+02, 5.272722e+02, 5.697951e+02, 7.993622e+02, 6.855877e+02, 7.888550e+02, 7.061573e+02, 6.934208e+02, 7.924500e+02, 6.720386e+02, 4.697093e+02	236.7982, -0.09302098, -6.770244, -4.287139, -1.933034, 0.1690711, 2.274176, 4.778281, 7.932386, 10.38549, 8.876596, -4.2263, -10.58119, -6.61809, -182.4306, -5.561846, -0.003763574, 1.916383, 3.839529, 6.161675, 9.133821, 11.40497, 9.714114, -3.57074, -10.10759, -6.326448, 2, 55.22124, 54.75614, 54.29103, 53.82593, 53.36082, 52.89572, 52.43061, 51.96551, 51.5004, 51.0353, 50.57019, 50.10509, 0, 1, -3.464102, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, 0.2886751, -6857.189, 59.7913, 0.1896554, 0.1060312, 0.02240704, -0.06121716, -0.1448414, -0.2284656, -0.3120898, -0.395714, -0.4793382, -0.5629624, 1.288675, 1.27328, 1, 2, 1e-07, 2, 10, lm(formula = lifeExp ~ year, data = df), lifeExp ~ year, 48.451, 50.469, 52.358, 53.995, 55.635, 57.674, 60.363, 62.351, 60.377, 46.809, 39.989, 43.487, 1952, 1957, 1962, 1967, 1972, 1977, 1982, 1987, 1992, 1997, 2002, 2007	2007	43.487	12311143	469.7093	-6.61808974

Note that each regular column is repeated once for each row of the nested tibble.

Now we have regular data frame, we can plot the residuals:

In [14]:

            
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resids |> 
  ggplot(aes(year, resid)) +
    geom_line(aes(group = country), alpha = 1 / 3) + 
    geom_smooth(se = FALSE)
resids |> 
  ggplot(aes(year, resid)) +
    geom_line(aes(group = country), alpha = 1 / 3) + 
    geom_smooth(se = FALSE)

`geom_smooth()` using method = 'gam' and formula 'y ~ s(x, bs = "cs")'

Facetting by continent is particularly revealing:

In [15]:

            
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resids |> 
  ggplot(aes(year, resid, group = country)) +
    geom_line(alpha = 1 / 3) + 
    facet_wrap(~continent)
resids |> 
  ggplot(aes(year, resid, group = country)) +
    geom_line(alpha = 1 / 3) + 
    facet_wrap(~continent)

It looks like we've missed some mild patterns. There's also something interesting going on in Africa: we see some very large residuals which suggests our model isn't fitting so well there. We'll explore that more in the next section, attacking it from a slightly different angle.

Model quality¶

Instead of looking at the residuals from the model, we could look at some general measurements of model quality. You learned how to compute some specific measures in the previous chapter. Here we'll show a different approach using the broom package. The broom package provides a general set of functions to turn models into tidy data. Here we'll use broom::glance() to extract some model quality metrics. If we apply it to a model, we get a data frame with a single row:

In [16]:

            
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broom::glance(nz_mod)
broom::glance(nz_mod)

A tibble: 1 × 12
r.squared	adj.r.squared	sigma	statistic	p.value	df	logLik	AIC	BIC	deviance	df.residual	nobs
<dbl>	<dbl>	<dbl>	<dbl>	<dbl>	<dbl>	<dbl>	<dbl>	<dbl>	<dbl>	<int>	<int>
0.9535846	0.9489431	0.8043472	205.4459	5.407324e-08	1	-13.32064	32.64128	34.096	6.469743	10	12

We can use mutate() and unnest() to create a data frame with a row for each country:

In [17]:

            
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glance <- by_country |> 
  mutate(glance = map(model, broom::glance)) |> 
  select(country, continent, glance) |> 
  unnest(glance)
glance
glance <- by_country |> 
  mutate(glance = map(model, broom::glance)) |> 
  select(country, continent, glance) |> 
  unnest(glance)
glance

A grouped_df: 142 × 14
country	continent	r.squared	adj.r.squared	sigma	statistic	p.value	df	logLik	AIC	BIC	deviance	df.residual	nobs
<fct>	<fct>	<dbl>	<dbl>	<dbl>	<dbl>	<dbl>	<dbl>	<dbl>	<dbl>	<dbl>	<dbl>	<int>	<int>
Afghanistan	Asia	0.9477123	0.94248348	1.2227880	181.2494098	9.835213e-08	1	-18.3469348	42.693870	44.148590	14.9521045	10	12
Albania	Europe	0.9105778	0.90163554	1.9830615	101.8290138	1.462763e-06	1	-24.1490356	54.298071	55.752791	39.3253302	10	12
Algeria	Africa	0.9851172	0.98362893	1.3230064	661.9170864	1.808143e-10	1	-19.2922136	44.584427	46.039147	17.5034589	10	12
Angola	Africa	0.8878146	0.87659609	1.4070091	79.1381823	4.593498e-06	1	-20.0309283	46.061857	47.516577	19.7967471	10	12
Argentina	Americas	0.9955681	0.99512491	0.2923072	2246.3663487	4.215567e-13	1	-1.1739328	8.347866	9.802586	0.8544349	10	12
Australia	Oceania	0.9796477	0.97761251	0.6206086	481.3458627	8.667222e-10	1	-10.2086767	26.417353	27.872073	3.8515501	10	12
Austria	Europe	0.9921340	0.99134741	0.4074094	1261.2962902	7.435240e-12	1	-5.1580921	16.316184	17.770904	1.6598240	10	12
Bahrain	Asia	0.9667398	0.96341379	1.6395865	290.6597394	1.015855e-08	1	-21.8666623	49.733325	51.188044	26.8824402	10	12
Bangladesh	Asia	0.9893609	0.98829696	0.9766908	929.9263688	3.369501e-11	1	-15.6503116	37.300623	38.755343	9.5392498	10	12
Belgium	Europe	0.9945406	0.99399461	0.2929025	1821.6883955	1.196280e-12	1	-1.1983465	8.396693	9.851413	0.8579187	10	12
Benin	Africa	0.9666020	0.96326219	1.1746910	289.4190308	1.037138e-08	1	-17.8653945	41.730789	43.185509	13.7989891	10	12
Bolivia	Americas	0.9845416	0.98299572	1.1844449	636.8959815	2.186475e-10	1	-17.9646235	41.929247	43.383967	14.0290965	10	12
Bosnia and Herzegovina	Europe	0.8956983	0.88526811	2.2566651	85.8757009	3.179395e-06	1	-25.6999903	57.399981	58.854701	50.9253735	10	12
Botswana	Africa	0.0340234	-0.06257426	6.1121773	0.3522177	5.660414e-01	1	-37.6567298	81.313460	82.768180	373.5871172	10	12
Brazil	Americas	0.9980474	0.99785216	0.3262359	5111.4156594	6.990433e-15	1	-2.4917171	10.983434	12.438154	1.0642984	10	12
Bulgaria	Europe	0.5465422	0.50119638	2.5091166	12.0527671	6.003902e-03	1	-26.9725018	59.945004	61.399724	62.9566601	10	12
Burkina Faso	Africa	0.9187105	0.91058155	2.0470915	113.0171190	9.047506e-07	1	-24.5303731	55.060746	56.515466	41.9058357	10	12
Burundi	Africa	0.7659960	0.74259557	1.6107778	32.7343072	1.925677e-04	1	-21.6539393	49.307879	50.762599	25.9460522	10	12
Cambodia	Asia	0.6386922	0.60256144	5.6301432	17.6772339	1.815889e-03	1	-36.6709515	79.341903	80.796623	316.9851225	10	12
Cameroon	Africa	0.6801784	0.64819623	3.2432136	21.2674310	9.627817e-04	1	-30.0521093	66.104219	67.558939	105.1843439	10	12
Canada	Americas	0.9963855	0.99602407	0.2492483	2756.6465404	1.520503e-13	1	0.7383356	4.523329	5.978049	0.6212471	10	12
Central African Republic	Africa	0.4932445	0.44256893	3.5245290	9.7333814	1.087700e-02	1	-31.0502949	68.100590	69.555310	124.2230491	10	12
Chad	Africa	0.8723755	0.85961305	1.8314395	68.3548634	8.815616e-06	1	-23.1945602	52.389120	53.843840	33.5417060	10	12
Chile	Americas	0.9827971	0.98107681	1.1928430	571.2973740	3.734610e-10	1	-18.0494074	42.098815	43.553535	14.2287440	10	12
China	Asia	0.8712773	0.85840507	3.8569904	67.6863994	9.206217e-06	1	-32.1319794	70.263959	71.718679	148.7637505	10	12
Colombia	Americas	0.9678734	0.96466079	1.3115992	301.2689760	8.537243e-09	1	-19.1882985	44.376597	45.831317	17.2029234	10	12
Comoros	Africa	0.9968508	0.99653584	0.4786468	3165.3729709	7.633040e-14	1	-7.0918261	20.183652	21.638372	2.2910280	10	12
Congo, Dem. Rep.	Africa	0.3482028	0.28302305	2.4294888	5.3421948	4.340981e-02	1	-26.5855035	59.171007	60.625727	59.0241587	10	12
Congo, Rep.	Africa	0.5196608	0.47162686	3.5465003	10.8186209	8.161502e-03	1	-31.1248685	68.249737	69.704457	125.7766441	10	12
Costa Rica	Americas	0.9617477	0.95792244	1.5188488	251.4219962	2.048470e-08	1	-20.9487651	47.897530	49.352250	23.0690165	10	12
⋮	⋮	⋮	⋮	⋮	⋮	⋮	⋮	⋮	⋮	⋮	⋮	⋮	⋮
Sierra Leone	Africa	0.96015054	0.95616559	0.8244500	240.9444351	2.515079e-08	1	-13.616867	33.2337341	34.688454	6.7971773	10	12
Singapore	Asia	0.98794751	0.98674226	0.7118994	819.7041575	6.290378e-11	1	-11.855509	29.7110186	31.165739	5.0680078	10	12
Slovak Republic	Europe	0.79174822	0.77092304	1.2998295	38.0187970	1.060798e-04	1	-19.080131	44.1602611	45.614981	16.8955680	10	12
Slovenia	Europe	0.96604327	0.96264760	0.7108345	284.4924508	1.127112e-08	1	-11.837546	29.6750920	31.129812	5.0528575	10	12
Somalia	Africa	0.84442863	0.82887150	1.8631293	54.2791808	2.404368e-05	1	-23.400423	52.8008460	54.255566	34.7125081	10	12
South Africa	Africa	0.31246865	0.24371552	4.7443562	4.5447914	5.883744e-02	1	-34.616802	75.2336040	76.688324	225.0891578	10	12
Spain	Europe	0.96489456	0.96138401	1.0131754	274.8561097	1.331755e-08	1	-16.090405	38.1808106	39.635531	10.2652438	10	12
Sri Lanka	Asia	0.94771469	0.94248616	1.0875968	181.2583268	9.832910e-08	1	-16.940978	39.8819570	41.336677	11.8286671	10	12
Sudan	Africa	0.99214243	0.99135667	0.6440782	1262.6577152	7.395529e-12	1	-10.654111	27.3082214	28.762941	4.1483667	10	12
Swaziland	Africa	0.06821087	-0.02496805	6.6440913	0.7320419	4.122530e-01	1	-38.658068	83.3161365	84.770856	441.4394929	10	12
Sweden	Europe	0.99548216	0.99503038	0.2117679	2203.4485325	4.640583e-13	1	2.693841	0.6123182	2.067038	0.4484564	10	12
Switzerland	Europe	0.99739086	0.99712995	0.2149115	3822.6804058	2.978930e-14	1	2.517016	0.9659670	2.420687	0.4618694	10	12
Syria	Asia	0.98416512	0.98258164	1.3295443	621.5173893	2.466376e-10	1	-19.351369	44.7027371	46.157457	17.6768818	10	12
Taiwan	Asia	0.95707113	0.95277825	1.3104285	222.9434935	3.653967e-08	1	-19.177583	44.3551658	45.809886	17.1722275	10	12
Tanzania	Africa	0.76421876	0.74064064	1.8346243	32.4121959	2.001787e-04	1	-23.215410	52.4308196	53.885540	33.6584639	10	12
Thailand	Asia	0.96738440	0.96412284	1.2048724	296.6017356	9.209050e-09	1	-18.169817	42.3396333	43.794353	14.5171739	10	12
Togo	Africa	0.90580373	0.89638410	2.3327815	96.1613126	1.901315e-06	1	-26.098069	58.1961383	59.650858	54.4186960	10	12
Trinidad and Tobago	Americas	0.79800744	0.77780819	1.6519842	39.5067751	9.077911e-05	1	-21.957058	49.9141161	51.368836	27.2905165	10	12
Tunisia	Africa	0.98070422	0.97877464	1.5590563	508.2479827	6.636419e-10	1	-21.262302	48.5246034	49.979323	24.3065663	10	12
Turkey	Europe	0.98533264	0.98386591	1.1470661	671.7861798	1.680857e-10	1	-17.579822	41.1596442	42.614364	13.1576052	10	12
Uganda	Africa	0.34215382	0.27636920	3.1876683	5.2011219	4.573928e-02	1	-29.844810	65.6896193	67.144339	101.6122930	10	12
United Kingdom	Europe	0.98443596	0.98287956	0.4421182	632.5067822	2.262287e-10	1	-6.139196	18.2783919	19.733112	1.9546847	10	12
United States	Americas	0.98592016	0.98451217	0.4161339	700.2351441	1.369788e-10	1	-5.412356	16.8247121	18.279432	1.7316746	10	12
Uruguay	Americas	0.97683072	0.97451379	0.5336799	421.6059416	1.659201e-09	1	-8.397824	22.7956488	24.250369	2.8481424	10	12
Venezuela	Americas	0.94652607	0.94117868	1.4818023	177.0070228	1.100829e-07	1	-20.652443	47.3048856	48.759606	21.9573817	10	12
Vietnam	Asia	0.98941189	0.98835308	1.3136491	934.4553574	3.289412e-11	1	-19.207039	44.4140786	45.868799	17.2567402	10	12
West Bank and Gaza	Asia	0.97048087	0.96752895	1.9821822	328.7633229	5.585089e-09	1	-24.143713	54.2874269	55.742147	39.2904634	10	12
Yemen, Rep.	Asia	0.98117240	0.97928964	1.5857980	521.1351926	5.868274e-10	1	-21.466386	48.9327728	50.387493	25.1475543	10	12
Zambia	Africa	0.05983644	-0.03417992	4.5287128	0.6364471	4.435318e-01	1	-34.058586	74.1171720	75.571892	205.0923944	10	12
Zimbabwe	Africa	0.05623196	-0.03814484	7.2054307	0.5958240	4.580290e-01	1	-39.631353	85.2627062	86.717426	519.1823151	10	12

(Pay attention to the variables that aren't printed: there's a lot of useful stuff there.)

With this data frame in hand, we can start to look for models that don't fit well:

In [18]:

            
                Copied!
                
glance |> 
  arrange(r.squared)
glance |> 
  arrange(r.squared)

A grouped_df: 142 × 14
country	continent	r.squared	adj.r.squared	sigma	statistic	p.value	df	logLik	AIC	BIC	deviance	df.residual	nobs
<fct>	<fct>	<dbl>	<dbl>	<dbl>	<dbl>	<dbl>	<dbl>	<dbl>	<dbl>	<dbl>	<dbl>	<int>	<int>
Rwanda	Africa	0.01715964	-0.081124401	6.558269	0.1745923	6.848927e-01	1	-38.50205	83.00411	84.45883	430.10899	10	12
Botswana	Africa	0.03402340	-0.062574259	6.112177	0.3522177	5.660414e-01	1	-37.65673	81.31346	82.76818	373.58712	10	12
Zimbabwe	Africa	0.05623196	-0.038144842	7.205431	0.5958240	4.580290e-01	1	-39.63135	85.26271	86.71743	519.18232	10	12
Zambia	Africa	0.05983644	-0.034179918	4.528713	0.6364471	4.435318e-01	1	-34.05859	74.11717	75.57189	205.09239	10	12
Swaziland	Africa	0.06821087	-0.024968046	6.644091	0.7320419	4.122530e-01	1	-38.65807	83.31614	84.77086	441.43949	10	12
Lesotho	Africa	0.08485635	-0.006658011	5.933934	0.9272463	3.582864e-01	1	-37.30158	80.60316	82.05788	352.11567	10	12
Cote d'Ivoire	Africa	0.28337240	0.211709644	3.925590	3.9542491	7.480350e-02	1	-32.34353	70.68707	72.14179	154.10260	10	12
South Africa	Africa	0.31246865	0.243715518	4.744356	4.5447914	5.883744e-02	1	-34.61680	75.23360	76.68832	225.08916	10	12
Uganda	Africa	0.34215382	0.276369202	3.187668	5.2011219	4.573928e-02	1	-29.84481	65.68962	67.14434	101.61229	10	12
Congo, Dem. Rep.	Africa	0.34820278	0.283023054	2.429489	5.3421948	4.340981e-02	1	-26.58550	59.17101	60.62573	59.02416	10	12
Namibia	Africa	0.43702163	0.380723797	4.960802	7.7626719	1.924625e-02	1	-35.15214	76.30429	77.75901	246.09560	10	12
Kenya	Africa	0.44255729	0.386813015	4.382174	7.9390631	1.823454e-02	1	-33.66387	73.32775	74.78247	192.03450	10	12
Central African Republic	Africa	0.49324448	0.442568926	3.524529	9.7333814	1.087700e-02	1	-31.05029	68.10059	69.55531	124.22305	10	12
Liberia	Africa	0.51175640	0.462932037	1.772831	10.4815791	8.906651e-03	1	-22.80427	51.60854	53.06326	31.42931	10	12
Congo, Rep.	Africa	0.51966079	0.471626864	3.546500	10.8186209	8.161502e-03	1	-31.12487	68.24974	69.70446	125.77664	10	12
Iraq	Asia	0.54578420	0.500362623	4.057097	12.0159670	6.057440e-03	1	-32.73894	71.47789	72.93261	164.60033	10	12
Bulgaria	Europe	0.54654217	0.501196383	2.509117	12.0527671	6.003902e-03	1	-26.97250	59.94500	61.39972	62.95666	10	12
Cambodia	Asia	0.63869222	0.602561439	5.630143	17.6772339	1.815889e-03	1	-36.67095	79.34190	80.79662	316.98512	10	12
Cameroon	Africa	0.68017839	0.648196233	3.243214	21.2674310	9.627817e-04	1	-30.05211	66.10422	67.55894	105.18434	10	12
Korea, Dem. Rep.	Asia	0.70306306	0.673369368	3.888176	23.6771843	6.555907e-04	1	-32.22862	70.45723	71.91195	151.17915	10	12
Tanzania	Africa	0.76421876	0.740640640	1.834624	32.4121959	2.001787e-04	1	-23.21541	52.43082	53.88554	33.65846	10	12
Burundi	Africa	0.76599597	0.742595570	1.610778	32.7343072	1.925677e-04	1	-21.65394	49.30788	50.76260	25.94605	10	12
Mozambique	Africa	0.77427932	0.751707247	2.291727	34.3025415	1.601207e-04	1	-25.88500	57.77000	59.22472	52.52011	10	12
Slovak Republic	Europe	0.79174822	0.770923041	1.299830	38.0187970	1.060798e-04	1	-19.08013	44.16026	45.61498	16.89557	10	12
Hungary	Europe	0.79501875	0.774520624	1.187126	38.7849497	9.784477e-05	1	-17.99176	41.98351	43.43823	14.09268	10	12
Trinidad and Tobago	Americas	0.79800744	0.777808189	1.651984	39.5067751	9.077911e-05	1	-21.95706	49.91412	51.36884	27.29052	10	12
Montenegro	Europe	0.80186521	0.782051730	2.753832	40.4706919	8.227479e-05	1	-28.08925	62.17851	63.63323	75.83589	10	12
Romania	Europe	0.80556666	0.786123325	1.462114	41.4315085	7.473230e-05	1	-20.49193	46.98387	48.43859	21.37777	10	12
Jamaica	Americas	0.80565904	0.786224940	2.055944	41.4559556	7.455148e-05	1	-24.58215	55.16430	56.61902	42.26904	10	12
Gabon	Africa	0.81276621	0.794042828	4.054107	43.4091622	6.166125e-05	1	-32.73010	71.46020	72.91492	164.35785	10	12
⋮	⋮	⋮	⋮	⋮	⋮	⋮	⋮	⋮	⋮	⋮	⋮	⋮	⋮
Vietnam	Asia	0.9894119	0.9883531	1.3136491	934.4554	3.289412e-11	1	-19.2070393	44.4140786	45.868799	17.2567402	10	12
Germany	Europe	0.9895057	0.9884563	0.4160796	942.8966	3.146150e-11	1	-5.4107882	16.8215763	18.276296	1.7312222	10	12
Egypt	Africa	0.9903042	0.9893347	1.0391856	1021.3789	2.117246e-11	1	-16.3945806	38.7891612	40.243881	10.7990664	10	12
Senegal	Africa	0.9905442	0.9895986	0.9323613	1047.5487	1.867742e-11	1	-15.0929140	36.1858280	37.640548	8.6929752	10	12
Philippines	Asia	0.9914226	0.9905649	0.7394703	1155.8541	1.146667e-11	1	-12.3114790	30.6229580	32.077678	5.4681631	10	12
Nepal	Asia	0.9915417	0.9906959	0.9242601	1172.2718	1.069178e-11	1	-14.9881919	35.9763838	37.431104	8.5425671	10	12
Austria	Europe	0.9921340	0.9913474	0.4074094	1261.2963	7.435240e-12	1	-5.1580921	16.3161841	17.770904	1.6598240	10	12
Sudan	Africa	0.9921424	0.9913567	0.6440782	1262.6577	7.395529e-12	1	-10.6541107	27.3082214	28.762941	4.1483667	10	12
Italy	Europe	0.9933661	0.9927027	0.4167397	1497.4141	3.170602e-12	1	-5.4298122	16.8596245	18.314344	1.7367200	10	12
Finland	Europe	0.9938383	0.9932222	0.3542167	1612.9418	2.191310e-12	1	-3.4791771	12.9583542	14.413074	1.2546949	10	12
Belgium	Europe	0.9945406	0.9939946	0.2929025	1821.6884	1.196280e-12	1	-1.1983465	8.3966931	9.851413	0.8579187	10	12
Ecuador	Americas	0.9945663	0.9940229	0.6988546	1830.3524	1.168372e-12	1	-11.6335823	29.2671646	30.721885	4.8839776	10	12
Morocco	Africa	0.9945831	0.9940414	0.7569549	1836.0812	1.150348e-12	1	-12.5919133	31.1838267	32.638547	5.7298068	10	12
Madagascar	Africa	0.9946536	0.9941190	0.5596544	1860.4324	1.077358e-12	1	-8.9681029	23.9362058	25.390926	3.1321304	10	12
Israel	Asia	0.9947829	0.9942612	0.3657401	1906.7735	9.532193e-13	1	-3.8633457	13.7266914	15.181411	1.3376583	10	12
Iran	Asia	0.9950154	0.9945169	0.6646329	1996.1606	7.588851e-13	1	-11.0310884	28.0621769	29.516897	4.4173692	10	12
Mali	Africa	0.9954514	0.9949965	0.4816026	2188.4809	4.800781e-13	1	-7.1657013	20.3314025	21.786122	2.3194107	10	12
Sweden	Europe	0.9954822	0.9950304	0.2117679	2203.4485	4.640583e-13	1	2.6938409	0.6123182	2.067038	0.4484564	10	12
Argentina	Americas	0.9955681	0.9951249	0.2923072	2246.3663	4.215567e-13	1	-1.1739328	8.3478656	9.802586	0.8544349	10	12
Canada	Americas	0.9963855	0.9960241	0.2492483	2756.6465	1.520503e-13	1	0.7383356	4.5233289	5.978049	0.6212471	10	12
Guatemala	Americas	0.9966638	0.9963301	0.5811789	2987.3939	1.018559e-13	1	-9.4209741	24.8419483	26.296668	3.3776896	10	12
Nicaragua	Americas	0.9967761	0.9964538	0.5984214	3091.8805	8.581426e-14	1	-9.7718121	25.5436242	26.998344	3.5810818	10	12
Comoros	Africa	0.9968508	0.9965358	0.4786468	3165.3730	7.633040e-14	1	-7.0918261	20.1836523	21.638372	2.2910280	10	12
Equatorial Guinea	Africa	0.9968686	0.9965555	0.3286898	3183.5004	7.418791e-14	1	-2.5816435	11.1632870	12.618007	1.0803699	10	12
Indonesia	Asia	0.9971142	0.9968256	0.6455478	3455.2206	4.931386e-14	1	-10.6814616	27.3629232	28.817643	4.1673202	10	12
Pakistan	Asia	0.9972497	0.9969746	0.4029337	3625.9047	3.877363e-14	1	-5.0255355	16.0510709	17.505791	1.6235560	10	12
Switzerland	Europe	0.9973909	0.9971299	0.2149115	3822.6804	2.978930e-14	1	2.5170165	0.9659670	2.420687	0.4618694	10	12
France	Europe	0.9976246	0.9973870	0.2200468	4199.7902	1.863068e-14	1	2.2336446	1.5327108	2.987431	0.4842062	10	12
Mauritania	Africa	0.9976743	0.9974417	0.4075323	4289.7733	1.676077e-14	1	-5.1617123	16.3234246	17.778145	1.6608258	10	12
Brazil	Americas	0.9980474	0.9978522	0.3262359	5111.4157	6.990433e-15	1	-2.4917171	10.9834341	12.438154	1.0642984	10	12

The worst models all appear to be in Africa. Let's double check that with a plot. Here we have a relatively small number of observations and a discrete variable, so geom_jitter() is effective:

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glance |> 
  ggplot(aes(continent, r.squared)) + 
    geom_jitter(width = 0.5)
glance |> 
  ggplot(aes(continent, r.squared)) + 
    geom_jitter(width = 0.5)

We could pull out the countries with particularly bad $R^2$ and plot the data:

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bad_fit <- filter(glance, r.squared < 0.25)

gapminder |> 
  semi_join(bad_fit, by = "country") |> 
  ggplot(aes(year, lifeExp, colour = country)) +
    geom_line()
bad_fit <- filter(glance, r.squared < 0.25)

gapminder |> 
  semi_join(bad_fit, by = "country") |> 
  ggplot(aes(year, lifeExp, colour = country)) +
    geom_line()

We see two main effects here: the tragedies of the HIV/AIDS epidemic and the Rwandan genocide.

Exercises¶

A linear trend seems to be slightly too simple for the overall trend. Can you do better with a quadratic polynomial? How can you interpret the coefficients of the quadratic? (Hint you might want to transform year so that it has mean zero.)
Explore other methods for visualising the distribution of $R^2$ per continent. You might want to try the ggbeeswarm package, which provides similar methods for avoiding overlaps as jitter, but uses deterministic methods.
To create the last plot (showing the data for the countries with the worst model fits), we needed two steps: we created a data frame with one row per country and then semi-joined it to the original dataset. It's possible to avoid this join if we use unnest() instead of unnest(.drop = TRUE). How?

List-columns¶

Now that you've seen a basic workflow for managing many models, let's dive back into some of the details. In this section, we'll explore the list-column data structure in a little more detail. It's only recently that I've really appreciated the idea of the list-column. List-columns are implicit in the definition of the data frame: a data frame is a named list of equal length vectors. A list is a vector, so it's always been legitimate to use a list as a column of a data frame. However, base R doesn't make it easy to create list-columns, and data.frame() treats a list as a list of columns:.

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data.frame(x = list(1:3, 3:5))
data.frame(x = list(1:3, 3:5))

A data.frame: 3 × 2
x.1.3	x.3.5
<int>	<int>
1	3
2	4
3	5

You can prevent data.frame() from doing this with I(), but the result doesn't print particularly well:

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data.frame(
  x = I(list(1:3, 3:5)), 
  y = c("1, 2", "3, 4, 5")
)
data.frame(
  x = I(list(1:3, 3:5)), 
  y = c("1, 2", "3, 4, 5")
)

A data.frame: 2 × 2
x	y
<I<list>>	<chr>
1, 2, 3	1, 2
3, 4, 5	3, 4, 5

Tibble alleviates this problem by being lazier (tibble() doesn't modify its inputs) and by providing a better print method:

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tibble(
  x = list(1:3, 3:5), 
  y = c("1, 2", "3, 4, 5")
)
tibble(
  x = list(1:3, 3:5), 
  y = c("1, 2", "3, 4, 5")
)

A tibble: 2 × 2
x	y
<list>	<chr>
1, 2, 3	1, 2
3, 4, 5	3, 4, 5

It's even easier with tribble() as it can automatically work out that you need a list:

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tribble(
   ~x, ~y,
  1:3, "1, 2",
  3:5, "3, 4, 5"
)
tribble(
   ~x, ~y,
  1:3, "1, 2",
  3:5, "3, 4, 5"
)

A tibble: 2 × 2
x	y
<list>	<chr>
1, 2, 3	1, 2
3, 4, 5	3, 4, 5

List-columns are often most useful as intermediate data structure. They're hard to work with directly, because most R functions work with atomic vectors or data frames, but the advantage of keeping related items together in a data frame is worth a little hassle.

Generally there are three parts of an effective list-column pipeline:

You create the list-column using one of nest(), summarise() + list(), or mutate() + a map function, as described in [Creating list-columns].
You create other intermediate list-columns by transforming existing list columns with map(), map2() or pmap(). For example, in the case study above, we created a list-column of models by transforming a list-column of data frames.
You simplify the list-column back down to a data frame or atomic vector, as described in [Simplifying list-columns].

Creating list-columns¶

Typically, you won't create list-columns with tibble(). Instead, you'll create them from regular columns, using one of three methods:

With tidyr::nest() to convert a grouped data frame into a nested data frame where you have list-column of data frames.
With mutate() and vectorised functions that return a list.
With summarise() and summary functions that return multiple results.

Alternatively, you might create them from a named list, using tibble::enframe().

Generally, when creating list-columns, you should make sure they're homogeneous: each element should contain the same type of thing. There are no checks to make sure this is true, but if you use purrr and remember what you've learned about type-stable functions, you should find it happens naturally.

With nesting¶

nest() creates a nested data frame, which is a data frame with a list-column of data frames. In a nested data frame each row is a meta-observation: the other columns give variables that define the observation (like country and continent above), and the list-column of data frames gives the individual observations that make up the meta-observation.

There are two ways to use nest(). So far you've seen how to use it with a grouped data frame. When applied to a grouped data frame, nest() keeps the grouping columns as is, and bundles everything else into the list-column:

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gapminder |> 
  group_by(country, continent) |> 
  nest()
gapminder |> 
  group_by(country, continent) |> 
  nest()

A grouped_df: 142 × 3
country	continent	data
<fct>	<fct>	<list>
Afghanistan	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 2.880100e+01, 3.033200e+01, 3.199700e+01, 3.402000e+01, 3.608800e+01, 3.843800e+01, 3.985400e+01, 4.082200e+01, 4.167400e+01, 4.176300e+01, 4.212900e+01, 4.382800e+01, 8.425333e+06, 9.240934e+06, 1.026708e+07, 1.153797e+07, 1.307946e+07, 1.488037e+07, 1.288182e+07, 1.386796e+07, 1.631792e+07, 2.222742e+07, 2.526840e+07, 3.188992e+07, 7.794453e+02, 8.208530e+02, 8.531007e+02, 8.361971e+02, 7.399811e+02, 7.861134e+02, 9.780114e+02, 8.523959e+02, 6.493414e+02, 6.353414e+02, 7.267341e+02, 9.745803e+02
Albania	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.230, 59.280, 64.820, 66.220, 67.690, 68.930, 70.420, 72.000, 71.581, 72.950, 75.651, 76.423, 1282697.000, 1476505.000, 1728137.000, 1984060.000, 2263554.000, 2509048.000, 2780097.000, 3075321.000, 3326498.000, 3428038.000, 3508512.000, 3600523.000, 1601.056, 1942.284, 2312.889, 2760.197, 3313.422, 3533.004, 3630.881, 3738.933, 2497.438, 3193.055, 4604.212, 5937.030
Algeria	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.077, 45.685, 48.303, 51.407, 54.518, 58.014, 61.368, 65.799, 67.744, 69.152, 70.994, 72.301, 9279525.000, 10270856.000, 11000948.000, 12760499.000, 14760787.000, 17152804.000, 20033753.000, 23254956.000, 26298373.000, 29072015.000, 31287142.000, 33333216.000, 2449.008, 3013.976, 2550.817, 3246.992, 4182.664, 4910.417, 5745.160, 5681.359, 5023.217, 4797.295, 5288.040, 6223.367
Angola	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 30.015, 31.999, 34.000, 35.985, 37.928, 39.483, 39.942, 39.906, 40.647, 40.963, 41.003, 42.731, 4232095.000, 4561361.000, 4826015.000, 5247469.000, 5894858.000, 6162675.000, 7016384.000, 7874230.000, 8735988.000, 9875024.000, 10866106.000, 12420476.000, 3520.610, 3827.940, 4269.277, 5522.776, 5473.288, 3008.647, 2756.954, 2430.208, 2627.846, 2277.141, 2773.287, 4797.231
Argentina	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 62.485, 64.399, 65.142, 65.634, 67.065, 68.481, 69.942, 70.774, 71.868, 73.275, 74.340, 75.320, 17876956.000, 19610538.000, 21283783.000, 22934225.000, 24779799.000, 26983828.000, 29341374.000, 31620918.000, 33958947.000, 36203463.000, 38331121.000, 40301927.000, 5911.315, 6856.856, 7133.166, 8052.953, 9443.039, 10079.027, 8997.897, 9139.671, 9308.419, 10967.282, 8797.641, 12779.380
Australia	Oceania	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 69.120, 70.330, 70.930, 71.100, 71.930, 73.490, 74.740, 76.320, 77.560, 78.830, 80.370, 81.235, 8691212.000, 9712569.000, 10794968.000, 11872264.000, 13177000.000, 14074100.000, 15184200.000, 16257249.000, 17481977.000, 18565243.000, 19546792.000, 20434176.000, 10039.596, 10949.650, 12217.227, 14526.125, 16788.629, 18334.198, 19477.009, 21888.889, 23424.767, 26997.937, 30687.755, 34435.367
Austria	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 66.800, 67.480, 69.540, 70.140, 70.630, 72.170, 73.180, 74.940, 76.040, 77.510, 78.980, 79.829, 6927772.000, 6965860.000, 7129864.000, 7376998.000, 7544201.000, 7568430.000, 7574613.000, 7578903.000, 7914969.000, 8069876.000, 8148312.000, 8199783.000, 6137.076, 8842.598, 10750.721, 12834.602, 16661.626, 19749.422, 21597.084, 23687.826, 27042.019, 29095.921, 32417.608, 36126.493
Bahrain	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 50.939, 53.832, 56.923, 59.923, 63.300, 65.593, 69.052, 70.750, 72.601, 73.925, 74.795, 75.635, 120447.000, 138655.000, 171863.000, 202182.000, 230800.000, 297410.000, 377967.000, 454612.000, 529491.000, 598561.000, 656397.000, 708573.000, 9867.085, 11635.799, 12753.275, 14804.673, 18268.658, 19340.102, 19211.147, 18524.024, 19035.579, 20292.017, 23403.559, 29796.048
Bangladesh	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.748400e+01, 3.934800e+01, 4.121600e+01, 4.345300e+01, 4.525200e+01, 4.692300e+01, 5.000900e+01, 5.281900e+01, 5.601800e+01, 5.941200e+01, 6.201300e+01, 6.406200e+01, 4.688686e+07, 5.136547e+07, 5.683929e+07, 6.282188e+07, 7.075930e+07, 8.042831e+07, 9.307441e+07, 1.037642e+08, 1.137046e+08, 1.233153e+08, 1.356568e+08, 1.504483e+08, 6.842442e+02, 6.616375e+02, 6.863416e+02, 7.211861e+02, 6.302336e+02, 6.598772e+02, 6.769819e+02, 7.519794e+02, 8.378102e+02, 9.727700e+02, 1.136390e+03, 1.391254e+03
Belgium	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 68.000, 69.240, 70.250, 70.940, 71.440, 72.800, 73.930, 75.350, 76.460, 77.530, 78.320, 79.441, 8730405.000, 8989111.000, 9218400.000, 9556500.000, 9709100.000, 9821800.000, 9856303.000, 9870200.000, 10045622.000, 10199787.000, 10311970.000, 10392226.000, 8343.105, 9714.961, 10991.207, 13149.041, 16672.144, 19117.974, 20979.846, 22525.563, 25575.571, 27561.197, 30485.884, 33692.605
Benin	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 38.2230, 40.3580, 42.6180, 44.8850, 47.0140, 49.1900, 50.9040, 52.3370, 53.9190, 54.7770, 54.4060, 56.7280, 1738315.0000, 1925173.0000, 2151895.0000, 2427334.0000, 2761407.0000, 3168267.0000, 3641603.0000, 4243788.0000, 4981671.0000, 6066080.0000, 7026113.0000, 8078314.0000, 1062.7522, 959.6011, 949.4991, 1035.8314, 1085.7969, 1029.1613, 1277.8976, 1225.8560, 1191.2077, 1232.9753, 1372.8779, 1441.2849
Bolivia	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 40.414, 41.890, 43.428, 45.032, 46.714, 50.023, 53.859, 57.251, 59.957, 62.050, 63.883, 65.554, 2883315.000, 3211738.000, 3593918.000, 4040665.000, 4565872.000, 5079716.000, 5642224.000, 6156369.000, 6893451.000, 7693188.000, 8445134.000, 9119152.000, 2677.326, 2127.686, 2180.973, 2586.886, 2980.331, 3548.098, 3156.510, 2753.691, 2961.700, 3326.143, 3413.263, 3822.137
Bosnia and Herzegovina	Europe	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 53.8200, 58.4500, 61.9300, 64.7900, 67.4500, 69.8600, 70.6900, 71.1400, 72.1780, 73.2440, 74.0900, 74.8520, 2791000.0000, 3076000.0000, 3349000.0000, 3585000.0000, 3819000.0000, 4086000.0000, 4172693.0000, 4338977.0000, 4256013.0000, 3607000.0000, 4165416.0000, 4552198.0000, 973.5332, 1353.9892, 1709.6837, 2172.3524, 2860.1698, 3528.4813, 4126.6132, 4314.1148, 2546.7814, 4766.3559, 6018.9752, 7446.2988
Botswana	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 47.6220, 49.6180, 51.5200, 53.2980, 56.0240, 59.3190, 61.4840, 63.6220, 62.7450, 52.5560, 46.6340, 50.7280, 442308.0000, 474639.0000, 512764.0000, 553541.0000, 619351.0000, 781472.0000, 970347.0000, 1151184.0000, 1342614.0000, 1536536.0000, 1630347.0000, 1639131.0000, 851.2411, 918.2325, 983.6540, 1214.7093, 2263.6111, 3214.8578, 4551.1421, 6205.8839, 7954.1116, 8647.1423, 11003.6051, 12569.8518
Brazil	Americas	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.091700e+01, 5.328500e+01, 5.566500e+01, 5.763200e+01, 5.950400e+01, 6.148900e+01, 6.333600e+01, 6.520500e+01, 6.705700e+01, 6.938800e+01, 7.100600e+01, 7.239000e+01, 5.660256e+07, 6.555117e+07, 7.603939e+07, 8.804982e+07, 1.008401e+08, 1.143140e+08, 1.289629e+08, 1.429381e+08, 1.559760e+08, 1.685467e+08, 1.799142e+08, 1.900106e+08, 2.108944e+03, 2.487366e+03, 3.336586e+03, 3.429864e+03, 4.985711e+03, 6.660119e+03, 7.030836e+03, 7.807096e+03, 6.950283e+03, 7.957981e+03, 8.131213e+03, 9.065801e+03
Bulgaria	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 59.600, 66.610, 69.510, 70.420, 70.900, 70.810, 71.080, 71.340, 71.190, 70.320, 72.140, 73.005, 7274900.000, 7651254.000, 8012946.000, 8310226.000, 8576200.000, 8797022.000, 8892098.000, 8971958.000, 8658506.000, 8066057.000, 7661799.000, 7322858.000, 2444.287, 3008.671, 4254.338, 5577.003, 6597.494, 7612.240, 8224.192, 8239.855, 6302.623, 5970.389, 7696.778, 10680.793
Burkina Faso	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.197500e+01, 3.490600e+01, 3.781400e+01, 4.069700e+01, 4.359100e+01, 4.613700e+01, 4.812200e+01, 4.955700e+01, 5.026000e+01, 5.032400e+01, 5.065000e+01, 5.229500e+01, 4.469979e+06, 4.713416e+06, 4.919632e+06, 5.127935e+06, 5.433886e+06, 5.889574e+06, 6.634596e+06, 7.586551e+06, 8.878303e+06, 1.035284e+07, 1.225121e+07, 1.432620e+07, 5.432552e+02, 6.171835e+02, 7.225120e+02, 7.948266e+02, 8.547360e+02, 7.433870e+02, 8.071986e+02, 9.120631e+02, 9.317528e+02, 9.462950e+02, 1.037645e+03, 1.217033e+03
Burundi	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 39.0310, 40.5330, 42.0450, 43.5480, 44.0570, 45.9100, 47.4710, 48.2110, 44.7360, 45.3260, 47.3600, 49.5800, 2445618.0000, 2667518.0000, 2961915.0000, 3330989.0000, 3529983.0000, 3834415.0000, 4580410.0000, 5126023.0000, 5809236.0000, 6121610.0000, 7021078.0000, 8390505.0000, 339.2965, 379.5646, 355.2032, 412.9775, 464.0995, 556.1033, 559.6032, 621.8188, 631.6999, 463.1151, 446.4035, 430.0707
Cambodia	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.941700e+01, 4.136600e+01, 4.341500e+01, 4.541500e+01, 4.031700e+01, 3.122000e+01, 5.095700e+01, 5.391400e+01, 5.580300e+01, 5.653400e+01, 5.675200e+01, 5.972300e+01, 4.693836e+06, 5.322536e+06, 6.083619e+06, 6.960067e+06, 7.450606e+06, 6.978607e+06, 7.272485e+06, 8.371791e+06, 1.015009e+07, 1.178296e+07, 1.292671e+07, 1.413186e+07, 3.684693e+02, 4.340383e+02, 4.969136e+02, 5.234323e+02, 4.216240e+02, 5.249722e+02, 6.244755e+02, 6.838956e+02, 6.823032e+02, 7.342852e+02, 8.962260e+02, 1.713779e+03
Cameroon	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 38.523, 40.428, 42.643, 44.799, 47.049, 49.355, 52.961, 54.985, 54.314, 52.199, 49.856, 50.430, 5009067.000, 5359923.000, 5793633.000, 6335506.000, 7021028.000, 7959865.000, 9250831.000, 10780667.000, 12467171.000, 14195809.000, 15929988.000, 17696293.000, 1172.668, 1313.048, 1399.607, 1508.453, 1684.147, 1783.433, 2367.983, 2602.664, 1793.163, 1694.337, 1934.011, 2042.095
Canada	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 68.750, 69.960, 71.300, 72.130, 72.880, 74.210, 75.760, 76.860, 77.950, 78.610, 79.770, 80.653, 14785584.000, 17010154.000, 18985849.000, 20819767.000, 22284500.000, 23796400.000, 25201900.000, 26549700.000, 28523502.000, 30305843.000, 31902268.000, 33390141.000, 11367.161, 12489.950, 13462.486, 16076.588, 18970.571, 22090.883, 22898.792, 26626.515, 26342.884, 28954.926, 33328.965, 36319.235
Central African Republic	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 35.4630, 37.4640, 39.4750, 41.4780, 43.4570, 46.7750, 48.2950, 50.4850, 49.3960, 46.0660, 43.3080, 44.7410, 1291695.0000, 1392284.0000, 1523478.0000, 1733638.0000, 1927260.0000, 2167533.0000, 2476971.0000, 2840009.0000, 3265124.0000, 3696513.0000, 4048013.0000, 4369038.0000, 1071.3107, 1190.8443, 1193.0688, 1136.0566, 1070.0133, 1109.3743, 956.7530, 844.8764, 747.9055, 740.5063, 738.6906, 706.0165
Chad	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.809200e+01, 3.988100e+01, 4.171600e+01, 4.360100e+01, 4.556900e+01, 4.738300e+01, 4.951700e+01, 5.105100e+01, 5.172400e+01, 5.157300e+01, 5.052500e+01, 5.065100e+01, 2.682462e+06, 2.894855e+06, 3.150417e+06, 3.495967e+06, 3.899068e+06, 4.388260e+06, 4.875118e+06, 5.498955e+06, 6.429417e+06, 7.562011e+06, 8.835739e+06, 1.023881e+07, 1.178666e+03, 1.308496e+03, 1.389818e+03, 1.196811e+03, 1.104104e+03, 1.133985e+03, 7.979081e+02, 9.523861e+02, 1.058064e+03, 1.004961e+03, 1.156182e+03, 1.704064e+03
Chile	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 54.745, 56.074, 57.924, 60.523, 63.441, 67.052, 70.565, 72.492, 74.126, 75.816, 77.860, 78.553, 6377619.000, 7048426.000, 7961258.000, 8858908.000, 9717524.000, 10599793.000, 11487112.000, 12463354.000, 13572994.000, 14599929.000, 15497046.000, 16284741.000, 3939.979, 4315.623, 4519.094, 5106.654, 5494.024, 4756.764, 5095.666, 5547.064, 7596.126, 10118.053, 10778.784, 13171.639
China	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.400000e+01, 5.054896e+01, 4.450136e+01, 5.838112e+01, 6.311888e+01, 6.396736e+01, 6.552500e+01, 6.727400e+01, 6.869000e+01, 7.042600e+01, 7.202800e+01, 7.296100e+01, 5.562635e+08, 6.374080e+08, 6.657700e+08, 7.545500e+08, 8.620300e+08, 9.434550e+08, 1.000281e+09, 1.084035e+09, 1.164970e+09, 1.230075e+09, 1.280400e+09, 1.318683e+09, 4.004486e+02, 5.759870e+02, 4.876740e+02, 6.127057e+02, 6.769001e+02, 7.412375e+02, 9.624214e+02, 1.378904e+03, 1.655784e+03, 2.289234e+03, 3.119281e+03, 4.959115e+03
Colombia	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 50.643, 55.118, 57.863, 59.963, 61.623, 63.837, 66.653, 67.768, 68.421, 70.313, 71.682, 72.889, 12350771.000, 14485993.000, 17009885.000, 19764027.000, 22542890.000, 25094412.000, 27764644.000, 30964245.000, 34202721.000, 37657830.000, 41008227.000, 44227550.000, 2144.115, 2323.806, 2492.351, 2678.730, 3264.660, 3815.808, 4397.576, 4903.219, 5444.649, 6117.362, 5755.260, 7006.580
Comoros	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 40.7150, 42.4600, 44.4670, 46.4720, 48.9440, 50.9390, 52.9330, 54.9260, 57.9390, 60.6600, 62.9740, 65.1520, 153936.0000, 170928.0000, 191689.0000, 217378.0000, 250027.0000, 304739.0000, 348643.0000, 395114.0000, 454429.0000, 527982.0000, 614382.0000, 710960.0000, 1102.9909, 1211.1485, 1406.6483, 1876.0296, 1937.5777, 1172.6030, 1267.1001, 1315.9808, 1246.9074, 1173.6182, 1075.8116, 986.1479
Congo, Dem. Rep.	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.914300e+01, 4.065200e+01, 4.212200e+01, 4.405600e+01, 4.598900e+01, 4.780400e+01, 4.778400e+01, 4.741200e+01, 4.554800e+01, 4.258700e+01, 4.496600e+01, 4.646200e+01, 1.410000e+07, 1.557793e+07, 1.748643e+07, 1.994107e+07, 2.300767e+07, 2.648087e+07, 3.064650e+07, 3.548164e+07, 4.167214e+07, 4.779899e+07, 5.537985e+07, 6.460676e+07, 7.805423e+02, 9.058602e+02, 8.963146e+02, 8.615932e+02, 9.048961e+02, 7.957573e+02, 6.737478e+02, 6.727748e+02, 4.577192e+02, 3.121884e+02, 2.411659e+02, 2.775519e+02
Congo, Rep.	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.111, 45.053, 48.435, 52.040, 54.907, 55.625, 56.695, 57.470, 56.433, 52.962, 52.970, 55.322, 854885.000, 940458.000, 1047924.000, 1179760.000, 1340458.000, 1536769.000, 1774735.000, 2064095.000, 2409073.000, 2800947.000, 3328795.000, 3800610.000, 2125.621, 2315.057, 2464.783, 2677.940, 3213.153, 3259.179, 4879.508, 4201.195, 4016.240, 3484.164, 3484.062, 3632.558
Costa Rica	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 57.206, 60.026, 62.842, 65.424, 67.849, 70.750, 73.450, 74.752, 75.713, 77.260, 78.123, 78.782, 926317.000, 1112300.000, 1345187.000, 1588717.000, 1834796.000, 2108457.000, 2424367.000, 2799811.000, 3173216.000, 3518107.000, 3834934.000, 4133884.000, 2627.009, 2990.011, 3460.937, 4161.728, 5118.147, 5926.877, 5262.735, 5629.915, 6160.416, 6677.045, 7723.447, 9645.061
⋮	⋮	⋮
Sierra Leone	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 30.3310, 31.5700, 32.7670, 34.1130, 35.4000, 36.7880, 38.4450, 40.0060, 38.3330, 39.8970, 41.0120, 42.5680, 2143249.0000, 2295678.0000, 2467895.0000, 2662190.0000, 2879013.0000, 3140897.0000, 3464522.0000, 3868905.0000, 4260884.0000, 4578212.0000, 5359092.0000, 6144562.0000, 879.7877, 1004.4844, 1116.6399, 1206.0435, 1353.7598, 1348.2852, 1465.0108, 1294.4478, 1068.6963, 574.6482, 699.4897, 862.5408
Singapore	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 60.396, 63.179, 65.798, 67.946, 69.521, 70.795, 71.760, 73.560, 75.788, 77.158, 78.770, 79.972, 1127000.000, 1445929.000, 1750200.000, 1977600.000, 2152400.000, 2325300.000, 2651869.000, 2794552.000, 3235865.000, 3802309.000, 4197776.000, 4553009.000, 2315.138, 2843.104, 3674.736, 4977.419, 8597.756, 11210.089, 15169.161, 18861.531, 24769.891, 33519.477, 36023.105, 47143.180
Slovak Republic	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 64.360, 67.450, 70.330, 70.980, 70.350, 70.450, 70.800, 71.080, 71.380, 72.710, 73.800, 74.663, 3558137.000, 3844277.000, 4237384.000, 4442238.000, 4593433.000, 4827803.000, 5048043.000, 5199318.000, 5302888.000, 5383010.000, 5410052.000, 5447502.000, 5074.659, 6093.263, 7481.108, 8412.902, 9674.168, 10922.664, 11348.546, 12037.268, 9498.468, 12126.231, 13638.778, 18678.314
Slovenia	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 65.570, 67.850, 69.150, 69.180, 69.820, 70.970, 71.063, 72.250, 73.640, 75.130, 76.660, 77.926, 1489518.000, 1533070.000, 1582962.000, 1646912.000, 1694510.000, 1746919.000, 1861252.000, 1945870.000, 1999210.000, 2011612.000, 2011497.000, 2009245.000, 4215.042, 5862.277, 7402.303, 9405.489, 12383.486, 15277.030, 17866.722, 18678.535, 14214.717, 17161.107, 20660.019, 25768.258
Somalia	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 32.9780, 34.9770, 36.9810, 38.9770, 40.9730, 41.9740, 42.9550, 44.5010, 39.6580, 43.7950, 45.9360, 48.1590, 2526994.0000, 2780415.0000, 3080153.0000, 3428839.0000, 3840161.0000, 4353666.0000, 5828892.0000, 6921858.0000, 6099799.0000, 6633514.0000, 7753310.0000, 9118773.0000, 1135.7498, 1258.1474, 1369.4883, 1284.7332, 1254.5761, 1450.9925, 1176.8070, 1093.2450, 926.9603, 930.5964, 882.0818, 926.1411
South Africa	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 45.009, 47.985, 49.951, 51.927, 53.696, 55.527, 58.161, 60.834, 61.888, 60.236, 53.365, 49.339, 14264935.000, 16151549.000, 18356657.000, 20997321.000, 23935810.000, 27129932.000, 31140029.000, 35933379.000, 39964159.000, 42835005.000, 44433622.000, 43997828.000, 4725.296, 5487.104, 5768.730, 7114.478, 7765.963, 8028.651, 8568.266, 7825.823, 7225.069, 7479.188, 7710.946, 9269.658
Spain	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 64.940, 66.660, 69.690, 71.440, 73.060, 74.390, 76.300, 76.900, 77.570, 78.770, 79.780, 80.941, 28549870.000, 29841614.000, 31158061.000, 32850275.000, 34513161.000, 36439000.000, 37983310.000, 38880702.000, 39549438.000, 39855442.000, 40152517.000, 40448191.000, 3834.035, 4564.802, 5693.844, 7993.512, 10638.751, 13236.921, 13926.170, 15764.983, 18603.065, 20445.299, 24835.472, 28821.064
Sri Lanka	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 57.593, 61.456, 62.192, 64.266, 65.042, 65.949, 68.757, 69.011, 70.379, 70.457, 70.815, 72.396, 7982342.000, 9128546.000, 10421936.000, 11737396.000, 13016733.000, 14116836.000, 15410151.000, 16495304.000, 17587060.000, 18698655.000, 19576783.000, 20378239.000, 1083.532, 1072.547, 1074.472, 1135.514, 1213.396, 1348.776, 1648.080, 1876.767, 2153.739, 2664.477, 3015.379, 3970.095
Sudan	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 38.635, 39.624, 40.870, 42.858, 45.083, 47.800, 50.338, 51.744, 53.556, 55.373, 56.369, 58.556, 8504667.000, 9753392.000, 11183227.000, 12716129.000, 14597019.000, 17104986.000, 20367053.000, 24725960.000, 28227588.000, 32160729.000, 37090298.000, 42292929.000, 1615.991, 1770.337, 1959.594, 1687.998, 1659.653, 2202.988, 1895.544, 1507.819, 1492.197, 1632.211, 1993.398, 2602.395
Swaziland	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 41.407, 43.424, 44.992, 46.633, 49.552, 52.537, 55.561, 57.678, 58.474, 54.289, 43.869, 39.613, 290243.000, 326741.000, 370006.000, 420690.000, 480105.000, 551425.000, 649901.000, 779348.000, 962344.000, 1054486.000, 1130269.000, 1133066.000, 1148.377, 1244.708, 1856.182, 2613.102, 3364.837, 3781.411, 3895.384, 3984.840, 3553.022, 3876.768, 4128.117, 4513.481
Sweden	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 71.860, 72.490, 73.370, 74.160, 74.720, 75.440, 76.420, 77.190, 78.160, 79.390, 80.040, 80.884, 7124673.000, 7363802.000, 7561588.000, 7867931.000, 8122293.000, 8251648.000, 8325260.000, 8421403.000, 8718867.000, 8897619.000, 8954175.000, 9031088.000, 8527.845, 9911.878, 12329.442, 15258.297, 17832.025, 18855.725, 20667.381, 23586.929, 23880.017, 25266.595, 29341.631, 33859.748
Switzerland	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 69.620, 70.560, 71.320, 72.770, 73.780, 75.390, 76.210, 77.410, 78.030, 79.370, 80.620, 81.701, 4815000.000, 5126000.000, 5666000.000, 6063000.000, 6401400.000, 6316424.000, 6468126.000, 6649942.000, 6995447.000, 7193761.000, 7361757.000, 7554661.000, 14734.233, 17909.490, 20431.093, 22966.144, 27195.113, 26982.291, 28397.715, 30281.705, 31871.530, 32135.323, 34480.958, 37506.419
Syria	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 45.883, 48.284, 50.305, 53.655, 57.296, 61.195, 64.590, 66.974, 69.249, 71.527, 73.053, 74.143, 3661549.000, 4149908.000, 4834621.000, 5680812.000, 6701172.000, 7932503.000, 9410494.000, 11242847.000, 13219062.000, 15081016.000, 17155814.000, 19314747.000, 1643.485, 2117.235, 2193.037, 1881.924, 2571.423, 3195.485, 3761.838, 3116.774, 3340.543, 4014.239, 4090.925, 4184.548
Taiwan	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 58.500, 62.400, 65.200, 67.500, 69.390, 70.590, 72.160, 73.400, 74.260, 75.250, 76.990, 78.400, 8550362.000, 10164215.000, 11918938.000, 13648692.000, 15226039.000, 16785196.000, 18501390.000, 19757799.000, 20686918.000, 21628605.000, 22454239.000, 23174294.000, 1206.948, 1507.861, 1822.879, 2643.859, 4062.524, 5596.520, 7426.355, 11054.562, 15215.658, 20206.821, 23235.423, 28718.277
Tanzania	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.121500e+01, 4.297400e+01, 4.424600e+01, 4.575700e+01, 4.762000e+01, 4.991900e+01, 5.060800e+01, 5.153500e+01, 5.044000e+01, 4.846600e+01, 4.965100e+01, 5.251700e+01, 8.322925e+06, 9.452826e+06, 1.086396e+07, 1.260731e+07, 1.470659e+07, 1.712956e+07, 1.984438e+07, 2.304063e+07, 2.660547e+07, 3.068689e+07, 3.459378e+07, 3.813964e+07, 7.166501e+02, 6.985356e+02, 7.220038e+02, 8.482187e+02, 9.159851e+02, 9.624923e+02, 8.742426e+02, 8.318221e+02, 8.256825e+02, 7.891862e+02, 8.990742e+02, 1.107482e+03
Thailand	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.084800e+01, 5.363000e+01, 5.606100e+01, 5.828500e+01, 6.040500e+01, 6.249400e+01, 6.459700e+01, 6.608400e+01, 6.729800e+01, 6.752100e+01, 6.856400e+01, 7.061600e+01, 2.128940e+07, 2.504192e+07, 2.926340e+07, 3.402425e+07, 3.927615e+07, 4.414828e+07, 4.882716e+07, 5.291034e+07, 5.666710e+07, 6.021668e+07, 6.280675e+07, 6.506815e+07, 7.577974e+02, 7.935774e+02, 1.002199e+03, 1.295461e+03, 1.524359e+03, 1.961225e+03, 2.393220e+03, 2.982654e+03, 4.616897e+03, 5.852625e+03, 5.913188e+03, 7.458396e+03
Togo	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 38.5960, 41.2080, 43.9220, 46.7690, 49.7590, 52.8870, 55.4710, 56.9410, 58.0610, 58.3900, 57.5610, 58.4200, 1219113.0000, 1357445.0000, 1528098.0000, 1735550.0000, 2056351.0000, 2308582.0000, 2644765.0000, 3154264.0000, 3747553.0000, 4320890.0000, 4977378.0000, 5701579.0000, 859.8087, 925.9083, 1067.5348, 1477.5968, 1649.6602, 1532.7770, 1344.5780, 1202.2014, 1034.2989, 982.2869, 886.2206, 882.9699
Trinidad and Tobago	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 59.100, 61.800, 64.900, 65.400, 65.900, 68.300, 68.832, 69.582, 69.862, 69.465, 68.976, 69.819, 662850.000, 764900.000, 887498.000, 960155.000, 975199.000, 1039009.000, 1116479.000, 1191336.000, 1183669.000, 1138101.000, 1101832.000, 1056608.000, 3023.272, 4100.393, 4997.524, 5621.368, 6619.551, 7899.554, 9119.529, 7388.598, 7370.991, 8792.573, 11460.600, 18008.509
Tunisia	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 44.600, 47.100, 49.579, 52.053, 55.602, 59.837, 64.048, 66.894, 70.001, 71.973, 73.042, 73.923, 3647735.000, 3950849.000, 4286552.000, 4786986.000, 5303507.000, 6005061.000, 6734098.000, 7724976.000, 8523077.000, 9231669.000, 9770575.000, 10276158.000, 1468.476, 1395.232, 1660.303, 1932.360, 2753.286, 3120.877, 3560.233, 3810.419, 4332.720, 4876.799, 5722.896, 7092.923
Turkey	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.585, 48.079, 52.098, 54.336, 57.005, 59.507, 61.036, 63.108, 66.146, 68.835, 70.845, 71.777, 22235677.000, 25670939.000, 29788695.000, 33411317.000, 37492953.000, 42404033.000, 47328791.000, 52881328.000, 58179144.000, 63047647.000, 67308928.000, 71158647.000, 1969.101, 2218.754, 2322.870, 2826.356, 3450.696, 4269.122, 4241.356, 5089.044, 5678.348, 6601.430, 6508.086, 8458.276
Uganda	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.997800e+01, 4.257100e+01, 4.534400e+01, 4.805100e+01, 5.101600e+01, 5.035000e+01, 4.984900e+01, 5.150900e+01, 4.882500e+01, 4.457800e+01, 4.781300e+01, 5.154200e+01, 5.824797e+06, 6.675501e+06, 7.688797e+06, 8.900294e+06, 1.019028e+07, 1.145776e+07, 1.293940e+07, 1.528305e+07, 1.825219e+07, 2.121025e+07, 2.473987e+07, 2.917040e+07, 7.347535e+02, 7.743711e+02, 7.672717e+02, 9.089185e+02, 9.507359e+02, 8.437331e+02, 6.822662e+02, 6.177244e+02, 6.441708e+02, 8.165591e+02, 9.277210e+02, 1.056380e+03
United Kingdom	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 69.180, 70.420, 70.760, 71.360, 72.010, 72.760, 74.040, 75.007, 76.420, 77.218, 78.471, 79.425, 50430000.000, 51430000.000, 53292000.000, 54959000.000, 56079000.000, 56179000.000, 56339704.000, 56981620.000, 57866349.000, 58808266.000, 59912431.000, 60776238.000, 9979.508, 11283.178, 12477.177, 14142.851, 15895.116, 17428.748, 18232.425, 21664.788, 22705.093, 26074.531, 29478.999, 33203.261
United States	Americas	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 6.844000e+01, 6.949000e+01, 7.021000e+01, 7.076000e+01, 7.134000e+01, 7.338000e+01, 7.465000e+01, 7.502000e+01, 7.609000e+01, 7.681000e+01, 7.731000e+01, 7.824200e+01, 1.575530e+08, 1.719840e+08, 1.865380e+08, 1.987120e+08, 2.098960e+08, 2.202390e+08, 2.321878e+08, 2.428035e+08, 2.568942e+08, 2.729118e+08, 2.876755e+08, 3.011399e+08, 1.399048e+04, 1.484713e+04, 1.617315e+04, 1.953037e+04, 2.180604e+04, 2.407263e+04, 2.500956e+04, 2.988435e+04, 3.200393e+04, 3.576743e+04, 3.909710e+04, 4.295165e+04
Uruguay	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 66.071, 67.044, 68.253, 68.468, 68.673, 69.481, 70.805, 71.918, 72.752, 74.223, 75.307, 76.384, 2252965.000, 2424959.000, 2598466.000, 2748579.000, 2829526.000, 2873520.000, 2953997.000, 3045153.000, 3149262.000, 3262838.000, 3363085.000, 3447496.000, 5716.767, 6150.773, 5603.358, 5444.620, 5703.409, 6504.340, 6920.223, 7452.399, 8137.005, 9230.241, 7727.002, 10611.463
Venezuela	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.088, 57.907, 60.770, 63.479, 65.712, 67.456, 68.557, 70.190, 71.150, 72.146, 72.766, 73.747, 5439568.000, 6702668.000, 8143375.000, 9709552.000, 11515649.000, 13503563.000, 15620766.000, 17910182.000, 20265563.000, 22374398.000, 24287670.000, 26084662.000, 7689.800, 9802.467, 8422.974, 9541.474, 10505.260, 13143.951, 11152.410, 9883.585, 10733.926, 10165.495, 8605.048, 11415.806
Vietnam	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.041200e+01, 4.288700e+01, 4.536300e+01, 4.783800e+01, 5.025400e+01, 5.576400e+01, 5.881600e+01, 6.282000e+01, 6.766200e+01, 7.067200e+01, 7.301700e+01, 7.424900e+01, 2.624684e+07, 2.899854e+07, 3.379614e+07, 3.946391e+07, 4.465501e+07, 5.053351e+07, 5.614218e+07, 6.282649e+07, 6.994073e+07, 7.604900e+07, 8.090815e+07, 8.526236e+07, 6.050665e+02, 6.762854e+02, 7.720492e+02, 6.371233e+02, 6.995016e+02, 7.135371e+02, 7.072358e+02, 8.207994e+02, 9.890231e+02, 1.385897e+03, 1.764457e+03, 2.441576e+03
West Bank and Gaza	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.160, 45.671, 48.127, 51.631, 56.532, 60.765, 64.406, 67.046, 69.718, 71.096, 72.370, 73.422, 1030585.000, 1070439.000, 1133134.000, 1142636.000, 1089572.000, 1261091.000, 1425876.000, 1691210.000, 2104779.000, 2826046.000, 3389578.000, 4018332.000, 1515.592, 1827.068, 2198.956, 2649.715, 3133.409, 3682.831, 4336.032, 5107.197, 6017.655, 7110.668, 4515.488, 3025.350
Yemen, Rep.	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.254800e+01, 3.397000e+01, 3.518000e+01, 3.698400e+01, 3.984800e+01, 4.417500e+01, 4.911300e+01, 5.292200e+01, 5.559900e+01, 5.802000e+01, 6.030800e+01, 6.269800e+01, 4.963829e+06, 5.498090e+06, 6.120081e+06, 6.740785e+06, 7.407075e+06, 8.403990e+06, 9.657618e+06, 1.121934e+07, 1.336800e+07, 1.582650e+07, 1.870126e+07, 2.221174e+07, 7.817176e+02, 8.048305e+02, 8.256232e+02, 8.624421e+02, 1.265047e+03, 1.829765e+03, 1.977557e+03, 1.971742e+03, 1.879497e+03, 2.117485e+03, 2.234821e+03, 2.280770e+03
Zambia	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.100, 40.238, 39.193, 42.384, 2672000.000, 3016000.000, 3421000.000, 3900000.000, 4506497.000, 5216550.000, 6100407.000, 7272406.000, 8381163.000, 9417789.000, 10595811.000, 11746035.000, 1147.389, 1311.957, 1452.726, 1777.077, 1773.498, 1588.688, 1408.679, 1213.315, 1210.885, 1071.354, 1071.614, 1271.212
Zimbabwe	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.845100e+01, 5.046900e+01, 5.235800e+01, 5.399500e+01, 5.563500e+01, 5.767400e+01, 6.036300e+01, 6.235100e+01, 6.037700e+01, 4.680900e+01, 3.998900e+01, 4.348700e+01, 3.080907e+06, 3.646340e+06, 4.277736e+06, 4.995432e+06, 5.861135e+06, 6.642107e+06, 7.636524e+06, 9.216418e+06, 1.070434e+07, 1.140495e+07, 1.192656e+07, 1.231114e+07, 4.068841e+02, 5.187643e+02, 5.272722e+02, 5.697951e+02, 7.993622e+02, 6.855877e+02, 7.888550e+02, 7.061573e+02, 6.934208e+02, 7.924500e+02, 6.720386e+02, 4.697093e+02

You can also use it on an ungrouped data frame, specifying which columns you want to nest:

In [26]:

            
                Copied!
                
gapminder |> 
  nest(data = c(year:gdpPercap))
gapminder |> 
  nest(data = c(year:gdpPercap))

A tibble: 142 × 3
country	continent	data
<fct>	<fct>	<list>
Afghanistan	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 2.880100e+01, 3.033200e+01, 3.199700e+01, 3.402000e+01, 3.608800e+01, 3.843800e+01, 3.985400e+01, 4.082200e+01, 4.167400e+01, 4.176300e+01, 4.212900e+01, 4.382800e+01, 8.425333e+06, 9.240934e+06, 1.026708e+07, 1.153797e+07, 1.307946e+07, 1.488037e+07, 1.288182e+07, 1.386796e+07, 1.631792e+07, 2.222742e+07, 2.526840e+07, 3.188992e+07, 7.794453e+02, 8.208530e+02, 8.531007e+02, 8.361971e+02, 7.399811e+02, 7.861134e+02, 9.780114e+02, 8.523959e+02, 6.493414e+02, 6.353414e+02, 7.267341e+02, 9.745803e+02
Albania	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.230, 59.280, 64.820, 66.220, 67.690, 68.930, 70.420, 72.000, 71.581, 72.950, 75.651, 76.423, 1282697.000, 1476505.000, 1728137.000, 1984060.000, 2263554.000, 2509048.000, 2780097.000, 3075321.000, 3326498.000, 3428038.000, 3508512.000, 3600523.000, 1601.056, 1942.284, 2312.889, 2760.197, 3313.422, 3533.004, 3630.881, 3738.933, 2497.438, 3193.055, 4604.212, 5937.030
Algeria	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.077, 45.685, 48.303, 51.407, 54.518, 58.014, 61.368, 65.799, 67.744, 69.152, 70.994, 72.301, 9279525.000, 10270856.000, 11000948.000, 12760499.000, 14760787.000, 17152804.000, 20033753.000, 23254956.000, 26298373.000, 29072015.000, 31287142.000, 33333216.000, 2449.008, 3013.976, 2550.817, 3246.992, 4182.664, 4910.417, 5745.160, 5681.359, 5023.217, 4797.295, 5288.040, 6223.367
Angola	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 30.015, 31.999, 34.000, 35.985, 37.928, 39.483, 39.942, 39.906, 40.647, 40.963, 41.003, 42.731, 4232095.000, 4561361.000, 4826015.000, 5247469.000, 5894858.000, 6162675.000, 7016384.000, 7874230.000, 8735988.000, 9875024.000, 10866106.000, 12420476.000, 3520.610, 3827.940, 4269.277, 5522.776, 5473.288, 3008.647, 2756.954, 2430.208, 2627.846, 2277.141, 2773.287, 4797.231
Argentina	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 62.485, 64.399, 65.142, 65.634, 67.065, 68.481, 69.942, 70.774, 71.868, 73.275, 74.340, 75.320, 17876956.000, 19610538.000, 21283783.000, 22934225.000, 24779799.000, 26983828.000, 29341374.000, 31620918.000, 33958947.000, 36203463.000, 38331121.000, 40301927.000, 5911.315, 6856.856, 7133.166, 8052.953, 9443.039, 10079.027, 8997.897, 9139.671, 9308.419, 10967.282, 8797.641, 12779.380
Australia	Oceania	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 69.120, 70.330, 70.930, 71.100, 71.930, 73.490, 74.740, 76.320, 77.560, 78.830, 80.370, 81.235, 8691212.000, 9712569.000, 10794968.000, 11872264.000, 13177000.000, 14074100.000, 15184200.000, 16257249.000, 17481977.000, 18565243.000, 19546792.000, 20434176.000, 10039.596, 10949.650, 12217.227, 14526.125, 16788.629, 18334.198, 19477.009, 21888.889, 23424.767, 26997.937, 30687.755, 34435.367
Austria	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 66.800, 67.480, 69.540, 70.140, 70.630, 72.170, 73.180, 74.940, 76.040, 77.510, 78.980, 79.829, 6927772.000, 6965860.000, 7129864.000, 7376998.000, 7544201.000, 7568430.000, 7574613.000, 7578903.000, 7914969.000, 8069876.000, 8148312.000, 8199783.000, 6137.076, 8842.598, 10750.721, 12834.602, 16661.626, 19749.422, 21597.084, 23687.826, 27042.019, 29095.921, 32417.608, 36126.493
Bahrain	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 50.939, 53.832, 56.923, 59.923, 63.300, 65.593, 69.052, 70.750, 72.601, 73.925, 74.795, 75.635, 120447.000, 138655.000, 171863.000, 202182.000, 230800.000, 297410.000, 377967.000, 454612.000, 529491.000, 598561.000, 656397.000, 708573.000, 9867.085, 11635.799, 12753.275, 14804.673, 18268.658, 19340.102, 19211.147, 18524.024, 19035.579, 20292.017, 23403.559, 29796.048
Bangladesh	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.748400e+01, 3.934800e+01, 4.121600e+01, 4.345300e+01, 4.525200e+01, 4.692300e+01, 5.000900e+01, 5.281900e+01, 5.601800e+01, 5.941200e+01, 6.201300e+01, 6.406200e+01, 4.688686e+07, 5.136547e+07, 5.683929e+07, 6.282188e+07, 7.075930e+07, 8.042831e+07, 9.307441e+07, 1.037642e+08, 1.137046e+08, 1.233153e+08, 1.356568e+08, 1.504483e+08, 6.842442e+02, 6.616375e+02, 6.863416e+02, 7.211861e+02, 6.302336e+02, 6.598772e+02, 6.769819e+02, 7.519794e+02, 8.378102e+02, 9.727700e+02, 1.136390e+03, 1.391254e+03
Belgium	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 68.000, 69.240, 70.250, 70.940, 71.440, 72.800, 73.930, 75.350, 76.460, 77.530, 78.320, 79.441, 8730405.000, 8989111.000, 9218400.000, 9556500.000, 9709100.000, 9821800.000, 9856303.000, 9870200.000, 10045622.000, 10199787.000, 10311970.000, 10392226.000, 8343.105, 9714.961, 10991.207, 13149.041, 16672.144, 19117.974, 20979.846, 22525.563, 25575.571, 27561.197, 30485.884, 33692.605
Benin	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 38.2230, 40.3580, 42.6180, 44.8850, 47.0140, 49.1900, 50.9040, 52.3370, 53.9190, 54.7770, 54.4060, 56.7280, 1738315.0000, 1925173.0000, 2151895.0000, 2427334.0000, 2761407.0000, 3168267.0000, 3641603.0000, 4243788.0000, 4981671.0000, 6066080.0000, 7026113.0000, 8078314.0000, 1062.7522, 959.6011, 949.4991, 1035.8314, 1085.7969, 1029.1613, 1277.8976, 1225.8560, 1191.2077, 1232.9753, 1372.8779, 1441.2849
Bolivia	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 40.414, 41.890, 43.428, 45.032, 46.714, 50.023, 53.859, 57.251, 59.957, 62.050, 63.883, 65.554, 2883315.000, 3211738.000, 3593918.000, 4040665.000, 4565872.000, 5079716.000, 5642224.000, 6156369.000, 6893451.000, 7693188.000, 8445134.000, 9119152.000, 2677.326, 2127.686, 2180.973, 2586.886, 2980.331, 3548.098, 3156.510, 2753.691, 2961.700, 3326.143, 3413.263, 3822.137
Bosnia and Herzegovina	Europe	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 53.8200, 58.4500, 61.9300, 64.7900, 67.4500, 69.8600, 70.6900, 71.1400, 72.1780, 73.2440, 74.0900, 74.8520, 2791000.0000, 3076000.0000, 3349000.0000, 3585000.0000, 3819000.0000, 4086000.0000, 4172693.0000, 4338977.0000, 4256013.0000, 3607000.0000, 4165416.0000, 4552198.0000, 973.5332, 1353.9892, 1709.6837, 2172.3524, 2860.1698, 3528.4813, 4126.6132, 4314.1148, 2546.7814, 4766.3559, 6018.9752, 7446.2988
Botswana	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 47.6220, 49.6180, 51.5200, 53.2980, 56.0240, 59.3190, 61.4840, 63.6220, 62.7450, 52.5560, 46.6340, 50.7280, 442308.0000, 474639.0000, 512764.0000, 553541.0000, 619351.0000, 781472.0000, 970347.0000, 1151184.0000, 1342614.0000, 1536536.0000, 1630347.0000, 1639131.0000, 851.2411, 918.2325, 983.6540, 1214.7093, 2263.6111, 3214.8578, 4551.1421, 6205.8839, 7954.1116, 8647.1423, 11003.6051, 12569.8518
Brazil	Americas	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.091700e+01, 5.328500e+01, 5.566500e+01, 5.763200e+01, 5.950400e+01, 6.148900e+01, 6.333600e+01, 6.520500e+01, 6.705700e+01, 6.938800e+01, 7.100600e+01, 7.239000e+01, 5.660256e+07, 6.555117e+07, 7.603939e+07, 8.804982e+07, 1.008401e+08, 1.143140e+08, 1.289629e+08, 1.429381e+08, 1.559760e+08, 1.685467e+08, 1.799142e+08, 1.900106e+08, 2.108944e+03, 2.487366e+03, 3.336586e+03, 3.429864e+03, 4.985711e+03, 6.660119e+03, 7.030836e+03, 7.807096e+03, 6.950283e+03, 7.957981e+03, 8.131213e+03, 9.065801e+03
Bulgaria	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 59.600, 66.610, 69.510, 70.420, 70.900, 70.810, 71.080, 71.340, 71.190, 70.320, 72.140, 73.005, 7274900.000, 7651254.000, 8012946.000, 8310226.000, 8576200.000, 8797022.000, 8892098.000, 8971958.000, 8658506.000, 8066057.000, 7661799.000, 7322858.000, 2444.287, 3008.671, 4254.338, 5577.003, 6597.494, 7612.240, 8224.192, 8239.855, 6302.623, 5970.389, 7696.778, 10680.793
Burkina Faso	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.197500e+01, 3.490600e+01, 3.781400e+01, 4.069700e+01, 4.359100e+01, 4.613700e+01, 4.812200e+01, 4.955700e+01, 5.026000e+01, 5.032400e+01, 5.065000e+01, 5.229500e+01, 4.469979e+06, 4.713416e+06, 4.919632e+06, 5.127935e+06, 5.433886e+06, 5.889574e+06, 6.634596e+06, 7.586551e+06, 8.878303e+06, 1.035284e+07, 1.225121e+07, 1.432620e+07, 5.432552e+02, 6.171835e+02, 7.225120e+02, 7.948266e+02, 8.547360e+02, 7.433870e+02, 8.071986e+02, 9.120631e+02, 9.317528e+02, 9.462950e+02, 1.037645e+03, 1.217033e+03
Burundi	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 39.0310, 40.5330, 42.0450, 43.5480, 44.0570, 45.9100, 47.4710, 48.2110, 44.7360, 45.3260, 47.3600, 49.5800, 2445618.0000, 2667518.0000, 2961915.0000, 3330989.0000, 3529983.0000, 3834415.0000, 4580410.0000, 5126023.0000, 5809236.0000, 6121610.0000, 7021078.0000, 8390505.0000, 339.2965, 379.5646, 355.2032, 412.9775, 464.0995, 556.1033, 559.6032, 621.8188, 631.6999, 463.1151, 446.4035, 430.0707
Cambodia	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.941700e+01, 4.136600e+01, 4.341500e+01, 4.541500e+01, 4.031700e+01, 3.122000e+01, 5.095700e+01, 5.391400e+01, 5.580300e+01, 5.653400e+01, 5.675200e+01, 5.972300e+01, 4.693836e+06, 5.322536e+06, 6.083619e+06, 6.960067e+06, 7.450606e+06, 6.978607e+06, 7.272485e+06, 8.371791e+06, 1.015009e+07, 1.178296e+07, 1.292671e+07, 1.413186e+07, 3.684693e+02, 4.340383e+02, 4.969136e+02, 5.234323e+02, 4.216240e+02, 5.249722e+02, 6.244755e+02, 6.838956e+02, 6.823032e+02, 7.342852e+02, 8.962260e+02, 1.713779e+03
Cameroon	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 38.523, 40.428, 42.643, 44.799, 47.049, 49.355, 52.961, 54.985, 54.314, 52.199, 49.856, 50.430, 5009067.000, 5359923.000, 5793633.000, 6335506.000, 7021028.000, 7959865.000, 9250831.000, 10780667.000, 12467171.000, 14195809.000, 15929988.000, 17696293.000, 1172.668, 1313.048, 1399.607, 1508.453, 1684.147, 1783.433, 2367.983, 2602.664, 1793.163, 1694.337, 1934.011, 2042.095
Canada	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 68.750, 69.960, 71.300, 72.130, 72.880, 74.210, 75.760, 76.860, 77.950, 78.610, 79.770, 80.653, 14785584.000, 17010154.000, 18985849.000, 20819767.000, 22284500.000, 23796400.000, 25201900.000, 26549700.000, 28523502.000, 30305843.000, 31902268.000, 33390141.000, 11367.161, 12489.950, 13462.486, 16076.588, 18970.571, 22090.883, 22898.792, 26626.515, 26342.884, 28954.926, 33328.965, 36319.235
Central African Republic	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 35.4630, 37.4640, 39.4750, 41.4780, 43.4570, 46.7750, 48.2950, 50.4850, 49.3960, 46.0660, 43.3080, 44.7410, 1291695.0000, 1392284.0000, 1523478.0000, 1733638.0000, 1927260.0000, 2167533.0000, 2476971.0000, 2840009.0000, 3265124.0000, 3696513.0000, 4048013.0000, 4369038.0000, 1071.3107, 1190.8443, 1193.0688, 1136.0566, 1070.0133, 1109.3743, 956.7530, 844.8764, 747.9055, 740.5063, 738.6906, 706.0165
Chad	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.809200e+01, 3.988100e+01, 4.171600e+01, 4.360100e+01, 4.556900e+01, 4.738300e+01, 4.951700e+01, 5.105100e+01, 5.172400e+01, 5.157300e+01, 5.052500e+01, 5.065100e+01, 2.682462e+06, 2.894855e+06, 3.150417e+06, 3.495967e+06, 3.899068e+06, 4.388260e+06, 4.875118e+06, 5.498955e+06, 6.429417e+06, 7.562011e+06, 8.835739e+06, 1.023881e+07, 1.178666e+03, 1.308496e+03, 1.389818e+03, 1.196811e+03, 1.104104e+03, 1.133985e+03, 7.979081e+02, 9.523861e+02, 1.058064e+03, 1.004961e+03, 1.156182e+03, 1.704064e+03
Chile	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 54.745, 56.074, 57.924, 60.523, 63.441, 67.052, 70.565, 72.492, 74.126, 75.816, 77.860, 78.553, 6377619.000, 7048426.000, 7961258.000, 8858908.000, 9717524.000, 10599793.000, 11487112.000, 12463354.000, 13572994.000, 14599929.000, 15497046.000, 16284741.000, 3939.979, 4315.623, 4519.094, 5106.654, 5494.024, 4756.764, 5095.666, 5547.064, 7596.126, 10118.053, 10778.784, 13171.639
China	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.400000e+01, 5.054896e+01, 4.450136e+01, 5.838112e+01, 6.311888e+01, 6.396736e+01, 6.552500e+01, 6.727400e+01, 6.869000e+01, 7.042600e+01, 7.202800e+01, 7.296100e+01, 5.562635e+08, 6.374080e+08, 6.657700e+08, 7.545500e+08, 8.620300e+08, 9.434550e+08, 1.000281e+09, 1.084035e+09, 1.164970e+09, 1.230075e+09, 1.280400e+09, 1.318683e+09, 4.004486e+02, 5.759870e+02, 4.876740e+02, 6.127057e+02, 6.769001e+02, 7.412375e+02, 9.624214e+02, 1.378904e+03, 1.655784e+03, 2.289234e+03, 3.119281e+03, 4.959115e+03
Colombia	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 50.643, 55.118, 57.863, 59.963, 61.623, 63.837, 66.653, 67.768, 68.421, 70.313, 71.682, 72.889, 12350771.000, 14485993.000, 17009885.000, 19764027.000, 22542890.000, 25094412.000, 27764644.000, 30964245.000, 34202721.000, 37657830.000, 41008227.000, 44227550.000, 2144.115, 2323.806, 2492.351, 2678.730, 3264.660, 3815.808, 4397.576, 4903.219, 5444.649, 6117.362, 5755.260, 7006.580
Comoros	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 40.7150, 42.4600, 44.4670, 46.4720, 48.9440, 50.9390, 52.9330, 54.9260, 57.9390, 60.6600, 62.9740, 65.1520, 153936.0000, 170928.0000, 191689.0000, 217378.0000, 250027.0000, 304739.0000, 348643.0000, 395114.0000, 454429.0000, 527982.0000, 614382.0000, 710960.0000, 1102.9909, 1211.1485, 1406.6483, 1876.0296, 1937.5777, 1172.6030, 1267.1001, 1315.9808, 1246.9074, 1173.6182, 1075.8116, 986.1479
Congo, Dem. Rep.	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.914300e+01, 4.065200e+01, 4.212200e+01, 4.405600e+01, 4.598900e+01, 4.780400e+01, 4.778400e+01, 4.741200e+01, 4.554800e+01, 4.258700e+01, 4.496600e+01, 4.646200e+01, 1.410000e+07, 1.557793e+07, 1.748643e+07, 1.994107e+07, 2.300767e+07, 2.648087e+07, 3.064650e+07, 3.548164e+07, 4.167214e+07, 4.779899e+07, 5.537985e+07, 6.460676e+07, 7.805423e+02, 9.058602e+02, 8.963146e+02, 8.615932e+02, 9.048961e+02, 7.957573e+02, 6.737478e+02, 6.727748e+02, 4.577192e+02, 3.121884e+02, 2.411659e+02, 2.775519e+02
Congo, Rep.	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.111, 45.053, 48.435, 52.040, 54.907, 55.625, 56.695, 57.470, 56.433, 52.962, 52.970, 55.322, 854885.000, 940458.000, 1047924.000, 1179760.000, 1340458.000, 1536769.000, 1774735.000, 2064095.000, 2409073.000, 2800947.000, 3328795.000, 3800610.000, 2125.621, 2315.057, 2464.783, 2677.940, 3213.153, 3259.179, 4879.508, 4201.195, 4016.240, 3484.164, 3484.062, 3632.558
Costa Rica	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 57.206, 60.026, 62.842, 65.424, 67.849, 70.750, 73.450, 74.752, 75.713, 77.260, 78.123, 78.782, 926317.000, 1112300.000, 1345187.000, 1588717.000, 1834796.000, 2108457.000, 2424367.000, 2799811.000, 3173216.000, 3518107.000, 3834934.000, 4133884.000, 2627.009, 2990.011, 3460.937, 4161.728, 5118.147, 5926.877, 5262.735, 5629.915, 6160.416, 6677.045, 7723.447, 9645.061
⋮	⋮	⋮
Sierra Leone	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 30.3310, 31.5700, 32.7670, 34.1130, 35.4000, 36.7880, 38.4450, 40.0060, 38.3330, 39.8970, 41.0120, 42.5680, 2143249.0000, 2295678.0000, 2467895.0000, 2662190.0000, 2879013.0000, 3140897.0000, 3464522.0000, 3868905.0000, 4260884.0000, 4578212.0000, 5359092.0000, 6144562.0000, 879.7877, 1004.4844, 1116.6399, 1206.0435, 1353.7598, 1348.2852, 1465.0108, 1294.4478, 1068.6963, 574.6482, 699.4897, 862.5408
Singapore	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 60.396, 63.179, 65.798, 67.946, 69.521, 70.795, 71.760, 73.560, 75.788, 77.158, 78.770, 79.972, 1127000.000, 1445929.000, 1750200.000, 1977600.000, 2152400.000, 2325300.000, 2651869.000, 2794552.000, 3235865.000, 3802309.000, 4197776.000, 4553009.000, 2315.138, 2843.104, 3674.736, 4977.419, 8597.756, 11210.089, 15169.161, 18861.531, 24769.891, 33519.477, 36023.105, 47143.180
Slovak Republic	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 64.360, 67.450, 70.330, 70.980, 70.350, 70.450, 70.800, 71.080, 71.380, 72.710, 73.800, 74.663, 3558137.000, 3844277.000, 4237384.000, 4442238.000, 4593433.000, 4827803.000, 5048043.000, 5199318.000, 5302888.000, 5383010.000, 5410052.000, 5447502.000, 5074.659, 6093.263, 7481.108, 8412.902, 9674.168, 10922.664, 11348.546, 12037.268, 9498.468, 12126.231, 13638.778, 18678.314
Slovenia	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 65.570, 67.850, 69.150, 69.180, 69.820, 70.970, 71.063, 72.250, 73.640, 75.130, 76.660, 77.926, 1489518.000, 1533070.000, 1582962.000, 1646912.000, 1694510.000, 1746919.000, 1861252.000, 1945870.000, 1999210.000, 2011612.000, 2011497.000, 2009245.000, 4215.042, 5862.277, 7402.303, 9405.489, 12383.486, 15277.030, 17866.722, 18678.535, 14214.717, 17161.107, 20660.019, 25768.258
Somalia	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 32.9780, 34.9770, 36.9810, 38.9770, 40.9730, 41.9740, 42.9550, 44.5010, 39.6580, 43.7950, 45.9360, 48.1590, 2526994.0000, 2780415.0000, 3080153.0000, 3428839.0000, 3840161.0000, 4353666.0000, 5828892.0000, 6921858.0000, 6099799.0000, 6633514.0000, 7753310.0000, 9118773.0000, 1135.7498, 1258.1474, 1369.4883, 1284.7332, 1254.5761, 1450.9925, 1176.8070, 1093.2450, 926.9603, 930.5964, 882.0818, 926.1411
South Africa	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 45.009, 47.985, 49.951, 51.927, 53.696, 55.527, 58.161, 60.834, 61.888, 60.236, 53.365, 49.339, 14264935.000, 16151549.000, 18356657.000, 20997321.000, 23935810.000, 27129932.000, 31140029.000, 35933379.000, 39964159.000, 42835005.000, 44433622.000, 43997828.000, 4725.296, 5487.104, 5768.730, 7114.478, 7765.963, 8028.651, 8568.266, 7825.823, 7225.069, 7479.188, 7710.946, 9269.658
Spain	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 64.940, 66.660, 69.690, 71.440, 73.060, 74.390, 76.300, 76.900, 77.570, 78.770, 79.780, 80.941, 28549870.000, 29841614.000, 31158061.000, 32850275.000, 34513161.000, 36439000.000, 37983310.000, 38880702.000, 39549438.000, 39855442.000, 40152517.000, 40448191.000, 3834.035, 4564.802, 5693.844, 7993.512, 10638.751, 13236.921, 13926.170, 15764.983, 18603.065, 20445.299, 24835.472, 28821.064
Sri Lanka	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 57.593, 61.456, 62.192, 64.266, 65.042, 65.949, 68.757, 69.011, 70.379, 70.457, 70.815, 72.396, 7982342.000, 9128546.000, 10421936.000, 11737396.000, 13016733.000, 14116836.000, 15410151.000, 16495304.000, 17587060.000, 18698655.000, 19576783.000, 20378239.000, 1083.532, 1072.547, 1074.472, 1135.514, 1213.396, 1348.776, 1648.080, 1876.767, 2153.739, 2664.477, 3015.379, 3970.095
Sudan	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 38.635, 39.624, 40.870, 42.858, 45.083, 47.800, 50.338, 51.744, 53.556, 55.373, 56.369, 58.556, 8504667.000, 9753392.000, 11183227.000, 12716129.000, 14597019.000, 17104986.000, 20367053.000, 24725960.000, 28227588.000, 32160729.000, 37090298.000, 42292929.000, 1615.991, 1770.337, 1959.594, 1687.998, 1659.653, 2202.988, 1895.544, 1507.819, 1492.197, 1632.211, 1993.398, 2602.395
Swaziland	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 41.407, 43.424, 44.992, 46.633, 49.552, 52.537, 55.561, 57.678, 58.474, 54.289, 43.869, 39.613, 290243.000, 326741.000, 370006.000, 420690.000, 480105.000, 551425.000, 649901.000, 779348.000, 962344.000, 1054486.000, 1130269.000, 1133066.000, 1148.377, 1244.708, 1856.182, 2613.102, 3364.837, 3781.411, 3895.384, 3984.840, 3553.022, 3876.768, 4128.117, 4513.481
Sweden	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 71.860, 72.490, 73.370, 74.160, 74.720, 75.440, 76.420, 77.190, 78.160, 79.390, 80.040, 80.884, 7124673.000, 7363802.000, 7561588.000, 7867931.000, 8122293.000, 8251648.000, 8325260.000, 8421403.000, 8718867.000, 8897619.000, 8954175.000, 9031088.000, 8527.845, 9911.878, 12329.442, 15258.297, 17832.025, 18855.725, 20667.381, 23586.929, 23880.017, 25266.595, 29341.631, 33859.748
Switzerland	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 69.620, 70.560, 71.320, 72.770, 73.780, 75.390, 76.210, 77.410, 78.030, 79.370, 80.620, 81.701, 4815000.000, 5126000.000, 5666000.000, 6063000.000, 6401400.000, 6316424.000, 6468126.000, 6649942.000, 6995447.000, 7193761.000, 7361757.000, 7554661.000, 14734.233, 17909.490, 20431.093, 22966.144, 27195.113, 26982.291, 28397.715, 30281.705, 31871.530, 32135.323, 34480.958, 37506.419
Syria	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 45.883, 48.284, 50.305, 53.655, 57.296, 61.195, 64.590, 66.974, 69.249, 71.527, 73.053, 74.143, 3661549.000, 4149908.000, 4834621.000, 5680812.000, 6701172.000, 7932503.000, 9410494.000, 11242847.000, 13219062.000, 15081016.000, 17155814.000, 19314747.000, 1643.485, 2117.235, 2193.037, 1881.924, 2571.423, 3195.485, 3761.838, 3116.774, 3340.543, 4014.239, 4090.925, 4184.548
Taiwan	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 58.500, 62.400, 65.200, 67.500, 69.390, 70.590, 72.160, 73.400, 74.260, 75.250, 76.990, 78.400, 8550362.000, 10164215.000, 11918938.000, 13648692.000, 15226039.000, 16785196.000, 18501390.000, 19757799.000, 20686918.000, 21628605.000, 22454239.000, 23174294.000, 1206.948, 1507.861, 1822.879, 2643.859, 4062.524, 5596.520, 7426.355, 11054.562, 15215.658, 20206.821, 23235.423, 28718.277
Tanzania	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.121500e+01, 4.297400e+01, 4.424600e+01, 4.575700e+01, 4.762000e+01, 4.991900e+01, 5.060800e+01, 5.153500e+01, 5.044000e+01, 4.846600e+01, 4.965100e+01, 5.251700e+01, 8.322925e+06, 9.452826e+06, 1.086396e+07, 1.260731e+07, 1.470659e+07, 1.712956e+07, 1.984438e+07, 2.304063e+07, 2.660547e+07, 3.068689e+07, 3.459378e+07, 3.813964e+07, 7.166501e+02, 6.985356e+02, 7.220038e+02, 8.482187e+02, 9.159851e+02, 9.624923e+02, 8.742426e+02, 8.318221e+02, 8.256825e+02, 7.891862e+02, 8.990742e+02, 1.107482e+03
Thailand	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 5.084800e+01, 5.363000e+01, 5.606100e+01, 5.828500e+01, 6.040500e+01, 6.249400e+01, 6.459700e+01, 6.608400e+01, 6.729800e+01, 6.752100e+01, 6.856400e+01, 7.061600e+01, 2.128940e+07, 2.504192e+07, 2.926340e+07, 3.402425e+07, 3.927615e+07, 4.414828e+07, 4.882716e+07, 5.291034e+07, 5.666710e+07, 6.021668e+07, 6.280675e+07, 6.506815e+07, 7.577974e+02, 7.935774e+02, 1.002199e+03, 1.295461e+03, 1.524359e+03, 1.961225e+03, 2.393220e+03, 2.982654e+03, 4.616897e+03, 5.852625e+03, 5.913188e+03, 7.458396e+03
Togo	Africa	1952.0000, 1957.0000, 1962.0000, 1967.0000, 1972.0000, 1977.0000, 1982.0000, 1987.0000, 1992.0000, 1997.0000, 2002.0000, 2007.0000, 38.5960, 41.2080, 43.9220, 46.7690, 49.7590, 52.8870, 55.4710, 56.9410, 58.0610, 58.3900, 57.5610, 58.4200, 1219113.0000, 1357445.0000, 1528098.0000, 1735550.0000, 2056351.0000, 2308582.0000, 2644765.0000, 3154264.0000, 3747553.0000, 4320890.0000, 4977378.0000, 5701579.0000, 859.8087, 925.9083, 1067.5348, 1477.5968, 1649.6602, 1532.7770, 1344.5780, 1202.2014, 1034.2989, 982.2869, 886.2206, 882.9699
Trinidad and Tobago	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 59.100, 61.800, 64.900, 65.400, 65.900, 68.300, 68.832, 69.582, 69.862, 69.465, 68.976, 69.819, 662850.000, 764900.000, 887498.000, 960155.000, 975199.000, 1039009.000, 1116479.000, 1191336.000, 1183669.000, 1138101.000, 1101832.000, 1056608.000, 3023.272, 4100.393, 4997.524, 5621.368, 6619.551, 7899.554, 9119.529, 7388.598, 7370.991, 8792.573, 11460.600, 18008.509
Tunisia	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 44.600, 47.100, 49.579, 52.053, 55.602, 59.837, 64.048, 66.894, 70.001, 71.973, 73.042, 73.923, 3647735.000, 3950849.000, 4286552.000, 4786986.000, 5303507.000, 6005061.000, 6734098.000, 7724976.000, 8523077.000, 9231669.000, 9770575.000, 10276158.000, 1468.476, 1395.232, 1660.303, 1932.360, 2753.286, 3120.877, 3560.233, 3810.419, 4332.720, 4876.799, 5722.896, 7092.923
Turkey	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.585, 48.079, 52.098, 54.336, 57.005, 59.507, 61.036, 63.108, 66.146, 68.835, 70.845, 71.777, 22235677.000, 25670939.000, 29788695.000, 33411317.000, 37492953.000, 42404033.000, 47328791.000, 52881328.000, 58179144.000, 63047647.000, 67308928.000, 71158647.000, 1969.101, 2218.754, 2322.870, 2826.356, 3450.696, 4269.122, 4241.356, 5089.044, 5678.348, 6601.430, 6508.086, 8458.276
Uganda	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.997800e+01, 4.257100e+01, 4.534400e+01, 4.805100e+01, 5.101600e+01, 5.035000e+01, 4.984900e+01, 5.150900e+01, 4.882500e+01, 4.457800e+01, 4.781300e+01, 5.154200e+01, 5.824797e+06, 6.675501e+06, 7.688797e+06, 8.900294e+06, 1.019028e+07, 1.145776e+07, 1.293940e+07, 1.528305e+07, 1.825219e+07, 2.121025e+07, 2.473987e+07, 2.917040e+07, 7.347535e+02, 7.743711e+02, 7.672717e+02, 9.089185e+02, 9.507359e+02, 8.437331e+02, 6.822662e+02, 6.177244e+02, 6.441708e+02, 8.165591e+02, 9.277210e+02, 1.056380e+03
United Kingdom	Europe	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 69.180, 70.420, 70.760, 71.360, 72.010, 72.760, 74.040, 75.007, 76.420, 77.218, 78.471, 79.425, 50430000.000, 51430000.000, 53292000.000, 54959000.000, 56079000.000, 56179000.000, 56339704.000, 56981620.000, 57866349.000, 58808266.000, 59912431.000, 60776238.000, 9979.508, 11283.178, 12477.177, 14142.851, 15895.116, 17428.748, 18232.425, 21664.788, 22705.093, 26074.531, 29478.999, 33203.261
United States	Americas	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 6.844000e+01, 6.949000e+01, 7.021000e+01, 7.076000e+01, 7.134000e+01, 7.338000e+01, 7.465000e+01, 7.502000e+01, 7.609000e+01, 7.681000e+01, 7.731000e+01, 7.824200e+01, 1.575530e+08, 1.719840e+08, 1.865380e+08, 1.987120e+08, 2.098960e+08, 2.202390e+08, 2.321878e+08, 2.428035e+08, 2.568942e+08, 2.729118e+08, 2.876755e+08, 3.011399e+08, 1.399048e+04, 1.484713e+04, 1.617315e+04, 1.953037e+04, 2.180604e+04, 2.407263e+04, 2.500956e+04, 2.988435e+04, 3.200393e+04, 3.576743e+04, 3.909710e+04, 4.295165e+04
Uruguay	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 66.071, 67.044, 68.253, 68.468, 68.673, 69.481, 70.805, 71.918, 72.752, 74.223, 75.307, 76.384, 2252965.000, 2424959.000, 2598466.000, 2748579.000, 2829526.000, 2873520.000, 2953997.000, 3045153.000, 3149262.000, 3262838.000, 3363085.000, 3447496.000, 5716.767, 6150.773, 5603.358, 5444.620, 5703.409, 6504.340, 6920.223, 7452.399, 8137.005, 9230.241, 7727.002, 10611.463
Venezuela	Americas	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 55.088, 57.907, 60.770, 63.479, 65.712, 67.456, 68.557, 70.190, 71.150, 72.146, 72.766, 73.747, 5439568.000, 6702668.000, 8143375.000, 9709552.000, 11515649.000, 13503563.000, 15620766.000, 17910182.000, 20265563.000, 22374398.000, 24287670.000, 26084662.000, 7689.800, 9802.467, 8422.974, 9541.474, 10505.260, 13143.951, 11152.410, 9883.585, 10733.926, 10165.495, 8605.048, 11415.806
Vietnam	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.041200e+01, 4.288700e+01, 4.536300e+01, 4.783800e+01, 5.025400e+01, 5.576400e+01, 5.881600e+01, 6.282000e+01, 6.766200e+01, 7.067200e+01, 7.301700e+01, 7.424900e+01, 2.624684e+07, 2.899854e+07, 3.379614e+07, 3.946391e+07, 4.465501e+07, 5.053351e+07, 5.614218e+07, 6.282649e+07, 6.994073e+07, 7.604900e+07, 8.090815e+07, 8.526236e+07, 6.050665e+02, 6.762854e+02, 7.720492e+02, 6.371233e+02, 6.995016e+02, 7.135371e+02, 7.072358e+02, 8.207994e+02, 9.890231e+02, 1.385897e+03, 1.764457e+03, 2.441576e+03
West Bank and Gaza	Asia	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 43.160, 45.671, 48.127, 51.631, 56.532, 60.765, 64.406, 67.046, 69.718, 71.096, 72.370, 73.422, 1030585.000, 1070439.000, 1133134.000, 1142636.000, 1089572.000, 1261091.000, 1425876.000, 1691210.000, 2104779.000, 2826046.000, 3389578.000, 4018332.000, 1515.592, 1827.068, 2198.956, 2649.715, 3133.409, 3682.831, 4336.032, 5107.197, 6017.655, 7110.668, 4515.488, 3025.350
Yemen, Rep.	Asia	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 3.254800e+01, 3.397000e+01, 3.518000e+01, 3.698400e+01, 3.984800e+01, 4.417500e+01, 4.911300e+01, 5.292200e+01, 5.559900e+01, 5.802000e+01, 6.030800e+01, 6.269800e+01, 4.963829e+06, 5.498090e+06, 6.120081e+06, 6.740785e+06, 7.407075e+06, 8.403990e+06, 9.657618e+06, 1.121934e+07, 1.336800e+07, 1.582650e+07, 1.870126e+07, 2.221174e+07, 7.817176e+02, 8.048305e+02, 8.256232e+02, 8.624421e+02, 1.265047e+03, 1.829765e+03, 1.977557e+03, 1.971742e+03, 1.879497e+03, 2.117485e+03, 2.234821e+03, 2.280770e+03
Zambia	Africa	1952.000, 1957.000, 1962.000, 1967.000, 1972.000, 1977.000, 1982.000, 1987.000, 1992.000, 1997.000, 2002.000, 2007.000, 42.038, 44.077, 46.023, 47.768, 50.107, 51.386, 51.821, 50.821, 46.100, 40.238, 39.193, 42.384, 2672000.000, 3016000.000, 3421000.000, 3900000.000, 4506497.000, 5216550.000, 6100407.000, 7272406.000, 8381163.000, 9417789.000, 10595811.000, 11746035.000, 1147.389, 1311.957, 1452.726, 1777.077, 1773.498, 1588.688, 1408.679, 1213.315, 1210.885, 1071.354, 1071.614, 1271.212
Zimbabwe	Africa	1.952000e+03, 1.957000e+03, 1.962000e+03, 1.967000e+03, 1.972000e+03, 1.977000e+03, 1.982000e+03, 1.987000e+03, 1.992000e+03, 1.997000e+03, 2.002000e+03, 2.007000e+03, 4.845100e+01, 5.046900e+01, 5.235800e+01, 5.399500e+01, 5.563500e+01, 5.767400e+01, 6.036300e+01, 6.235100e+01, 6.037700e+01, 4.680900e+01, 3.998900e+01, 4.348700e+01, 3.080907e+06, 3.646340e+06, 4.277736e+06, 4.995432e+06, 5.861135e+06, 6.642107e+06, 7.636524e+06, 9.216418e+06, 1.070434e+07, 1.140495e+07, 1.192656e+07, 1.231114e+07, 4.068841e+02, 5.187643e+02, 5.272722e+02, 5.697951e+02, 7.993622e+02, 6.855877e+02, 7.888550e+02, 7.061573e+02, 6.934208e+02, 7.924500e+02, 6.720386e+02, 4.697093e+02

From vectorised functions¶

Some useful functions take an atomic vector and return a list. For example, in [strings] you learned about stringr::str_split() which takes a character vector and returns a list of character vectors. If you use that inside mutate, you'll get a list-column:

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df <- tribble(
  ~x1,
  "a,b,c", 
  "d,e,f,g"
) 

df |> 
  mutate(x2 = stringr::str_split(x1, ","))
df <- tribble(
  ~x1,
  "a,b,c", 
  "d,e,f,g"
) 

df |> 
  mutate(x2 = stringr::str_split(x1, ","))

A tibble: 2 × 2
x1	x2
<chr>	<list>
a,b,c	a, b, c
d,e,f,g	d, e, f, g

unnest() knows how to handle these lists of vectors:

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df |> 
  mutate(x2 = stringr::str_split(x1, ",")) |> 
  unnest(x2)
df |> 
  mutate(x2 = stringr::str_split(x1, ",")) |> 
  unnest(x2)

A tibble: 7 × 2
x1	x2
<chr>	<chr>
a,b,c	a
a,b,c	b
a,b,c	c
d,e,f,g	d
d,e,f,g	e
d,e,f,g	f
d,e,f,g	g

(If you find yourself using this pattern a lot, make sure to check out tidyr::separate_rows() which is a wrapper around this common pattern).

Another example of this pattern is using the map(), map2(), pmap() from purrr. For example, we could take the final example from [Invoking different functions] and rewrite it to use mutate():

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sim <- tribble(
  ~f,      ~params,
  "runif", list(min = -1, max = 1),
  "rnorm", list(sd = 5),
  "rpois", list(lambda = 10)
)

sim |>
  mutate(sims = invoke_map(f, params, n = 10))
sim <- tribble(
  ~f,      ~params,
  "runif", list(min = -1, max = 1),
  "rnorm", list(sd = 5),
  "rpois", list(lambda = 10)
)

sim |>
  mutate(sims = invoke_map(f, params, n = 10))

A tibble: 3 × 3
f	params	sims
<chr>	<list>	<list>
runif	-1, 1	0.3018574, -0.1662597, -0.7239119, 0.2807478, 0.4210872, -0.4385682, -0.5904529, -0.4825924, -0.1107676, -0.6875932
rnorm	5	-9.6145958, -0.2684631, 2.2986637, -2.4285091, -3.1218891, -0.1794771, 1.8955945, -1.2310992, 5.5369546, -0.7463359
rpois	10	11, 6, 9, 4, 11, 6, 13, 16, 8, 13

Note that technically sim isn't homogeneous because it contains both double and integer vectors. However, this is unlikely to cause many problems since integers and doubles are both numeric vectors.

From multivalued summaries¶

One restriction of summarise() is that it only works with summary functions that return a single value. That means that you can't use it with functions like quantile() that return a vector of arbitrary length:

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mtcars |> 
  group_by(cyl) |> 
  summarise(q = quantile(mpg))
mtcars |> 
  group_by(cyl) |> 
  summarise(q = quantile(mpg))

`summarise()` has grouped output by 'cyl'. You can override using the `.groups`
argument.

A grouped_df: 15 × 2
cyl	q
<dbl>	<dbl>
4	21.40
4	22.80
4	26.00
4	30.40
4	33.90
6	17.80
6	18.65
6	19.70
6	21.00
6	21.40
8	10.40
8	14.40
8	15.20
8	16.25
8	19.20

You can however, wrap the result in a list! This obeys the contract of summarise(), because each summary is now a list (a vector) of length 1.

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mtcars |> 
  group_by(cyl) |> 
  summarise(q = list(quantile(mpg)))
mtcars |> 
  group_by(cyl) |> 
  summarise(q = list(quantile(mpg)))

A tibble: 3 × 2
cyl	q
<dbl>	<list>
4	21.4, 22.8, 26.0, 30.4, 33.9
6	17.80, 18.65, 19.70, 21.00, 21.40
8	10.40, 14.40, 15.20, 16.25, 19.20

To make useful results with unnest, you'll also need to capture the probabilities:

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probs <- c(0.01, 0.25, 0.5, 0.75, 0.99)
mtcars |> 
  group_by(cyl) |> 
  summarise(p = list(probs), q = list(quantile(mpg, probs))) |> 
  unnest(c(p, q))
probs <- c(0.01, 0.25, 0.5, 0.75, 0.99)
mtcars |> 
  group_by(cyl) |> 
  summarise(p = list(probs), q = list(quantile(mpg, probs))) |> 
  unnest(c(p, q))

A tibble: 15 × 3
cyl	p	q
<dbl>	<dbl>	<dbl>
4	0.01	21.410
4	0.25	22.800
4	0.50	26.000
4	0.75	30.400
4	0.99	33.750
6	0.01	17.818
6	0.25	18.650
6	0.50	19.700
6	0.75	21.000
6	0.99	21.376
8	0.01	10.400
8	0.25	14.400
8	0.50	15.200
8	0.75	16.250
8	0.99	19.135

From a named list¶

Data frames with list-columns provide a solution to a common problem: what do you do if you want to iterate over both the contents of a list and its elements? Instead of trying to jam everything into one object, it's often easier to make a data frame: one column can contain the elements, and one column can contain the list. An easy way to create such a data frame from a list is tibble::enframe().

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x <- list(
  a = 1:5,
  b = 3:4, 
  c = 5:6
) 

df <- enframe(x)
df
x <- list(
  a = 1:5,
  b = 3:4, 
  c = 5:6
) 

df <- enframe(x)
df

A tibble: 3 × 2
name	value
<chr>	<list>
a	1, 2, 3, 4, 5
b	3, 4
c	5, 6

The advantage of this structure is that it generalises in a straightforward way - names are useful if you have a character vector of metadata but don't help if you have other types of data, or multiple vectors.

Now if you want to iterate over names and values in parallel, you can use map2():

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df |> 
  mutate(
    smry = map2_chr(name, value, ~ stringr::str_c(.x, ": ", .y[1]))
  )
df |> 
  mutate(
    smry = map2_chr(name, value, ~ stringr::str_c(.x, ": ", .y[1]))
  )

A tibble: 3 × 3
name	value	smry
<chr>	<list>	<chr>
a	1, 2, 3, 4, 5	a: 1
b	3, 4	b: 3
c	5, 6	c: 5

Exercises¶

List all the functions that you can think of that take a atomic vector and return a list.
Brainstorm useful summary functions that, like quantile(), return multiple values.
What's missing in the following data frame? How does quantile() return that missing piece? Why isn't that helpful here?
```
mtcars |> 
  group_by(cyl) |> 
  summarise(q = list(quantile(mpg))) |> 
  unnest(q)
```

What does this code do? Why might it be useful?

mtcars |> 
  group_by(cyl) |> 
  summarise_all(list(list))

Simplifying list-columns¶

To apply the techniques of data manipulation and visualisation you've learned in this book, you'll need to simplify the list-column back to a regular column (an atomic vector), or set of columns. The technique you'll use to collapse back down to a simpler structure depends on whether you want a single value per element, or multiple values:

If you want a single value, use mutate() with map_lgl(), map_int(), map_dbl(), and map_chr() to create an atomic vector.
If you want many values, use unnest() to convert list-columns back to regular columns, repeating the rows as many times as necessary.

These are described in more detail below.

List to vector¶

If you can reduce your list column to an atomic vector then it will be a regular column. For example, you can always summarise an object with its type and length, so this code will work regardless of what sort of list-column you have:

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df <- tribble(
  ~x,
  letters[1:5],
  1:3,
  runif(5)
)

df |> mutate(
  type = map_chr(x, typeof),
  length = map_int(x, length)
)
df <- tribble(
  ~x,
  letters[1:5],
  1:3,
  runif(5)
)

df |> mutate(
  type = map_chr(x, typeof),
  length = map_int(x, length)
)

A tibble: 3 × 3
x	type	length
<list>	<chr>	<int>
a, b, c, d, e	character	5
1, 2, 3	integer	3
0.7504061, 0.1892212, 0.5391099, 0.1852267, 0.6572464	double	5

This is the same basic information that you get from the default tbl print method, but now you can use it for filtering. This is a useful technique if you have a heterogeneous list, and want to filter out the parts aren't working for you.

Don't forget about the map_*() shortcuts - you can use map_chr(x, "apple") to extract the string stored in apple for each element of x. This is useful for pulling apart nested lists into regular columns. Use the .null argument to provide a value to use if the element is missing (instead of returning NULL):

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df <- tribble(
  ~x,
  list(a = 1, b = 2),
  list(a = 2, c = 4)
)
df |> mutate(
  a = map_dbl(x, "a"),
  b = map_dbl(x, "b", .null = NA_real_)
)
df <- tribble(
  ~x,
  list(a = 1, b = 2),
  list(a = 2, c = 4)
)
df |> mutate(
  a = map_dbl(x, "a"),
  b = map_dbl(x, "b", .null = NA_real_)
)

A tibble: 2 × 3
x	a	b
<list>	<dbl>	<dbl>
1, 2	1	2
2, 4	2	NA

Unnesting¶

unnest() works by repeating the regular columns once for each element of the list-column. For example, in the following very simple example we repeat the first row 4 times (because there the first element of y has length four), and the second row once:

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tibble(x = 1:2, y = list(1:4, 1)) |> unnest(y)
tibble(x = 1:2, y = list(1:4, 1)) |> unnest(y)

A tibble: 5 × 2
x	y
<int>	<dbl>
1	1
1	2
1	3
1	4
2	1

This means that you can't simultaneously unnest two columns that contain different number of elements:

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# Ok, because y and z have the same number of elements in
# every row
df1 <- tribble(
  ~x, ~y,           ~z,
   1, c("a", "b"), 1:2,
   2, "c",           3
)
df1
df1 |> unnest(c(y, z))

# Doesn't work because y and z have different number of elements
df2 <- tribble(
  ~x, ~y,           ~z,
   1, "a",         1:2,  
   2, c("b", "c"),   3
)
df2
df2 |> unnest(c(y, z))
# Ok, because y and z have the same number of elements in
# every row
df1 <- tribble(
  ~x, ~y,           ~z,
   1, c("a", "b"), 1:2,
   2, "c",           3
)
df1
df1 |> unnest(c(y, z))

# Doesn't work because y and z have different number of elements
df2 <- tribble(
  ~x, ~y,           ~z,
   1, "a",         1:2,  
   2, c("b", "c"),   3
)
df2
df2 |> unnest(c(y, z))

A tibble: 2 × 3
x	y	z
<dbl>	<list>	<list>
1	a, b	1, 2
2	c	3

A tibble: 3 × 3
x	y	z
<dbl>	<chr>	<dbl>
1	a	1
1	b	2
2	c	3

A tibble: 2 × 3
x	y	z
<dbl>	<list>	<list>
1	a	1, 2
2	b, c	3

A tibble: 4 × 3
x	y	z
<dbl>	<chr>	<dbl>
1	a	1
1	a	2
2	b	3
2	c	3

The same principle applies when unnesting list-columns of data frames. You can unnest multiple list-cols as long as all the data frames in each row have the same number of rows.

Exercises¶

Why might the lengths() function be useful for creating atomic vector columns from list-columns?
List the most common types of vector found in a data frame. What makes lists different?

Making tidy data with broom¶

The broom package provides three general tools for turning models into tidy data frames:

broom::glance(model) returns a row for each model. Each column gives a model summary: either a measure of model quality, or complexity, or a combination of the two.
broom::tidy(model) returns a row for each coefficient in the model. Each column gives information about the estimate or its variability.
broom::augment(model, data) returns a row for each row in data, adding extra values like residuals, and influence statistics.