Data visualization doesn’t have to be complex to be powerful. @bgoncalves at #jupytercon pic.twitter.com/WeSlaJHbj2
— Caitlin Hudon👩🏼💻 (@beeonaposy) August 22, 2018
Data visualization doesn’t have to be complex to be powerful. @bgoncalves at #jupytercon pic.twitter.com/WeSlaJHbj2
— Caitlin Hudon👩🏼💻 (@beeonaposy) August 22, 2018
Who spends how much, and on what? https://t.co/8CLRBZexJe
— Andrew Gelman (@StatModeling) August 22, 2018
Visualizing the toxicity in Twitter conversations https://t.co/zGRz9Ipggu pic.twitter.com/UT791W6pD9
— Nathan Yau (@flowingdata) August 22, 2018
Analysis of the percentage of women authors at ICLR+ICML+NIPS by country.https://t.co/fQnhrYuEbP https://t.co/fQnhrYuEbP
— Yann LeCun (@ylecun) August 22, 2018
📈 chart explanation on point!
— Mara Averick (@dataandme) August 22, 2018
"Exploring ggplot2 boxplots - Defining limits and adjusting style" 👩💻 @DeCiccoDonkhttps://t.co/Jx3DfOwUy0 via @USGS_R #rstats #dataviz pic.twitter.com/WJVPFXYvmz
💪 tidy up your corrrr…
— Mara Averick (@dataandme) August 21, 2018
"Exploring correlations in R with corrr" 👨⚕️ @drsimonj https://t.co/5slkxW582M #rstats pic.twitter.com/dJQ1nxiER4
U.S. Interstate highway system as a subway map. #travel #datavizhttps://t.co/lndN6eSYM5 pic.twitter.com/Rnju3PRg8z
— Randy Olson (@randal_olson) August 20, 2018
The rich get richer: How income gains have shifted toward the richest Americans over timehttps://t.co/huz839nM9b pic.twitter.com/KHUgNE2tpB
— Conrad Hackett (@conradhackett) August 19, 2018
#Map shows density of #potato cultivation in early 20th century Europe. #Germany and #Poland were potato heartland. https://t.co/9aC9tG4LwF pic.twitter.com/1q4zPqqE6L
— Simon Kuestenmacher (@simongerman600) August 19, 2018
FFT-accelerated Interpolation-based t-SNE
— ML Review (@ml_review) August 19, 2018
By @GCLinderman
The most time-consuming step of t-SNE is accelerated by interpolating onto an equispaced grid and subsequently using the FFT to perform the convolution.
Paperhttps://t.co/aCL3Fmr0cn
Githubhttps://t.co/V4FTDdxPK1 pic.twitter.com/zxNxvmxQDi
Nice animations that also illustrate the same joins in SQL https://t.co/h2eNlvP6Ux
— Data Science Renee (@BecomingDataSci) August 18, 2018
Comparing the population pyramids of #India & #China between 1950-2100. #dataviz
— Randy Olson (@randal_olson) August 17, 2018
India is projected to overtake China as the most populous country in the world by about 2024.https://t.co/Hygm4bTc4A pic.twitter.com/eRURk1u6yG