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Resources for teaching & learning practical data visualization with python.

License: MIT License

Jupyter Notebook 69.09% HTML 30.91%
python visualization matplotlib plotly data-visualization data-science data-analysis plotly-express seaborn altair

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Main 4 Sections of Content

Note to self as validation:

For section 3 -- Statistical Visualization in the Wild -- I plan on telling a story surrounding the DTI distributional shift from beginning to end of 2017. This distributional shift can be seen in the QnD image below I build as validation of my hunch when pulling the data. The orange is the late 2017 DTI distro and the blue is the early 2017 DTI distro.
Screen Shot 2019-07-04 at 6 45 36 PM

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