Tutorial: Beginner #dataviz with #Python using matplotlib.
— Randy Olson (@randal_olson) November 26, 2018
YouTube playlist: https://t.co/7XnGu0l63m pic.twitter.com/Iown4VOkwW
Tutorial: Beginner #dataviz with #Python using matplotlib.
— Randy Olson (@randal_olson) November 26, 2018
YouTube playlist: https://t.co/7XnGu0l63m pic.twitter.com/Iown4VOkwW
What an informative and beautiful blog post on the repetitiveness of song lyrics over the decades.https://t.co/Ecq6HPbTZn pic.twitter.com/uaFdOKj4SD
— Richard (@RichardSocher) November 23, 2018
When bad charts happen to good people…and how to deal.
— Mara Averick (@dataandme) November 19, 2018
"Why People Make Bad Charts (and What to Do When it Happens)" 👨🏻💻 @flowingdata https://t.co/ye1gs3a47z #dataviz #infovis
📉 beyond geom_smooth()…
— Mara Averick (@dataandme) November 19, 2018
"How to plot fitted lines w/ ggplot2" ✏️ @aosmith16 https://t.co/T8fIxOQeDo #rstats #dataviz pic.twitter.com/HyTbD759U7
Campaign color distributions, not clear-cut red and blue https://t.co/6jYis2RSBV
— Nathan Yau (@flowingdata) November 19, 2018
U.S. population growth by state (1900-2017). #datavizhttps://t.co/lZwekYZoNE pic.twitter.com/nNkMzhXQBJ
— Randy Olson (@randal_olson) November 19, 2018
Introducing vizscorer: a bot advisor to score and improve your ggplot plots https://t.co/Y87J577JGV #rstats #DataScience
— R-bloggers (@Rbloggers) November 18, 2018
😻 code and figs from…
— Mara Averick (@dataandme) November 16, 2018
📄 "Geofaceting — align small-multiples for regions in a spatially meaningful way" by @ikashnitsky & @jm_aburtohttps://t.co/TbPxVtpEyo #rstats #dataviz pic.twitter.com/esEF9ds1LA
chartify - Python library that makes it easy for data scientists to create charts. https://t.co/YKPWutlnlB
— Python Trending (@pythontrending) November 15, 2018
In this issue, the uses for animation in visualization and how to approach it https://t.co/Xj6G0DRdfm
— Nathan Yau (@flowingdata) November 15, 2018
Covered amazing modern text visualization techniques in my #dataviz #rstats class today. Incredible packages by @juliasilge, @drob, and @kearneymw make this so easy and magic!
— 🍁🍂 Andrew Heiss, thankful PhD 🍂🍁 (@andrewheiss) November 14, 2018
(See all code here: https://t.co/iiy6Y8F813) pic.twitter.com/QU5ndTRiSA
How do you measure the latest industrial revolution we’re in the midst of? How about number of robots shipped, papers on AI published, miles of fiber optic cable installed... https://t.co/9p5NEVZKbM pic.twitter.com/wal5zmRjTx
— Christopher Mims 🎆 (@mims) November 12, 2018