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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
http://www.nytimes.com/interactive/2016/04/29/upshot/money-race-and-success-how-your-school-district-compares.html?action=click&contentCollection=upshot®ion=rank&module=package&version=highlights&contentPlacement=1&pgtype=sectionfront&smid=tw-upshotnyt&smtyp=cur&_r=0
The text was updated successfully, but these errors were encountered:
Also on this subject: add fig, ax methods.
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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
http://www.nytimes.com/interactive/2016/04/29/upshot/money-race-and-success-how-your-school-district-compares.html?action=click&contentCollection=upshot®ion=rank&module=package&version=highlights&contentPlacement=1&pgtype=sectionfront&smid=tw-upshotnyt&smtyp=cur&_r=0
The text was updated successfully, but these errors were encountered: