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Next year I thought we might do a seaborn chapter focused more on describing data and less on the tool itself. At least that's a thought.
If we do, here are some examples we could add:
Fama-French returns (momentum?): show distributions, pairplots
Titanic: everyone likes this, esp if we focus on survival
Also (via Spencer) education data via Stanford:
https://cepa.stanford.edu/seda/download?nid=1727&destination=node/1717
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