Creating Your Own Notebooks¶

Congratulations for making it to the end of the course!

In this final tutorial, you'll learn an efficient workflow that you can use to continue creating your own stunning data visualizations on the Kaggle website.

Workflow¶

Begin by navigating to the site for Kaggle Notebooks:

https://www.kaggle.com/code

Then, in the top left corner, click on [+ New Notebook].

This opens a notebook. As a first step, check the language of the notebook by selecting File > Language. If it's not Python, change the language to Python now.

The notebook should hvae some default code. Please erase this code, and replace it with the code in the cell below. (This is the same code that you used in all of the exercises to set up your Python environment.)

In [1]:

import pandas as pd
pd.plotting.register_matplotlib_converters()
import matplotlib.pyplot as plt
%matplotlib inline
import seaborn as sns
print("Setup Complete")

import pandas as pd pd.plotting.register_matplotlib_converters() import matplotlib.pyplot as plt %matplotlib inline import seaborn as sns print("Setup Complete")

Setup Complete

The next step is to attach a dataset, before writing code to visualize it. (You learned how to do that in the previous tutorial.)

Then, once you have generated a figure, you need only save it as an image file that you can easily add to your presentations!

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