The horror, the horror…
— Mara Averick (@dataandme) February 24, 2020
😎 ∩ 👴🏼 "Grandpa Chad distribution" https://t.co/uETv4Pm8Bi @xkcdComic via @flowingdata pic.twitter.com/SZWmDHu6X9
The horror, the horror…
— Mara Averick (@dataandme) February 24, 2020
😎 ∩ 👴🏼 "Grandpa Chad distribution" https://t.co/uETv4Pm8Bi @xkcdComic via @flowingdata pic.twitter.com/SZWmDHu6X9
The code:https://t.co/W3gKpC6AMk
— Brandon Rohrer (@_brohrer_) February 23, 2020
Animation uses @FFmpeg
When I imagine convolution, this is what it looks like in my head.@matplotlib pic.twitter.com/mei0bcQef1
— Brandon Rohrer (@_brohrer_) February 23, 2020
Wow. What an eye-opening graphic. This #dataviz shows the distribution of wealth vs. the distribution of people around the world.https://t.co/CEMbqffCnw pic.twitter.com/xVBrs37fek
— Randy Olson (@randal_olson) February 19, 2020
Here is the full notebook with the interactive plots at the bottom if you want to play with them:https://t.co/qnmOVcasxe
— Olivier Grisel (@ogrisel) February 19, 2020
Gradient Boosting to predict the price of houses in Ames. pic.twitter.com/eKjuay2aJ3
Plotly's interactive parallel coordinates plot is really nice to build some insights on the impact of hyper-parameters on the generalization performance. pic.twitter.com/ekOVDqIjwi
— Olivier Grisel (@ogrisel) February 19, 2020
Languages by speaker count & speaker type. #dataviz
— Randy Olson (@randal_olson) February 18, 2020
Source: https://t.co/2MeIuuvdqJ pic.twitter.com/s5ve80FAiu
Check out these nice map @observablehq notebooks on EU statistics by @JoeWDavies https://t.co/lLy2lpxA0P pic.twitter.com/UufulPQRZJ
— Maarten Lambrechts (@maartenzam) February 18, 2020
Doing tSNE in one minute on 1 million row dataset with @Nvidia @rapidsai:https://t.co/yFAw2ye3bS
— Bojan Tunguz (@tunguz) February 17, 2020
gghighlight 0.2.0 is released on CRAN! I blogged about a few new features that you might need. #rstats
— Hiroaki Yutani (@yutannihilat_en) February 17, 2020
gghighlight 0.2.0 | Wannabe Rstats-fu https://t.co/abK75A6U4x pic.twitter.com/AmGYNWQgXY
If you make a @matplotlib plot you're proud of, write a few paragraphs about it, share some of the code, and submit it to the Matplotblog. Posts are the new papers.
— Brandon Rohrer (@_brohrer_) February 17, 2020
There's even a hand guide for how to submit.https://t.co/OE8myXrg27
Change in adult obesity by state from 2008 to 2018. https://t.co/9ndEUCTLCg pic.twitter.com/ZHfVUQcpbk
— Mike Bostock (@mbostock) February 13, 2020