ICYMI: The @uscensusbureau is developing open-source standards for its future data visualizations.https://t.co/vzVsTy94if pic.twitter.com/Zc3X0o59kP
— Ben Welsh (@palewire) April 17, 2019
ICYMI: The @uscensusbureau is developing open-source standards for its future data visualizations.https://t.co/vzVsTy94if pic.twitter.com/Zc3X0o59kP
— Ben Welsh (@palewire) April 17, 2019
Nice visualisation of tensors with ipyvolume https://t.co/sEs9ktXhkK https://t.co/Agoh4Osvkn
— Jean Kossaifi (@JeanKossaifi) April 15, 2019
Facebook’s AI team maps the whole population of Africa https://t.co/nM8wv5m4bE
— TechCrunch (@TechCrunch) April 15, 2019
Plotting all the regular-season things just cuz I can, and I'm a little surprised by how similar EFG% is for some teams in wins and losses…Also possibly not the best geom for this. #NBA pic.twitter.com/TkQvKjoy1c
— Mara Averick (@dataandme) April 14, 2019
What qualifies as middle-income in each state, adjusted by household size https://t.co/TZs77XWPWw pic.twitter.com/mqDCT3BKq7
— Nathan Yau (@flowingdata) April 12, 2019
Making a #dataviz for both desktop and mobile doesn't mean that the only two options you have are "scaling down" and "stacking vertically" →
— Nadieh Bremer (@NadiehBremer) April 12, 2019
You can also change layout by positioning the data differently. There's more overlap in code between these two than you might expect. pic.twitter.com/1BaSVgXrBl
🏀 End o' #NBA regular season
— Mara Averick (@dataandme) April 11, 2019
😎 If you haven't played w/ the latest {ggforce} (@thomasp85), you simply must…
📍 "geom_mark_rect(): Annotate areas with rectangles" https://t.co/SWLNoWRfma #rstats #dataviz pic.twitter.com/6qUwLhFXkA
🎉 NEW!! 🎉 BIG release of my #dataviz-driven visual exploration in collaboration with Google Trends 😃
— Nadieh Bremer (@NadiehBremer) April 11, 2019
"Explore how people search on Google to understand the often weird & mysterious behavior of our 🐱 & 🐶!"https://t.co/DAEbFqDBJg
Enjoy exploring & Happy US Pet Day! pic.twitter.com/4PqFdUwnBg
📈 A chart in your tooltip? {highcharter} got you covered…
— Mara Averick (@dataandme) April 10, 2019
"Using tooltips in unexpected ways" 🤘 @jbkunsthttps://t.co/bAwQbHO7XI #rstats #dataviz pic.twitter.com/KKupgcJrj9
Data visualization for traffic flow studies peaked 100+ years ago... London traffic census in 1911, Paris transport passenger counts in 1889. pic.twitter.com/5xjDKgXK2m
— Will Geary (@wgeary) April 10, 2019
#rstats {hrbrthemes} 📦 just added `theme_ipsum_pub()` which uses the #spiffy Public Sans font (https://t.co/KlQFEQgF0Y) from the @USWDS.
— boB 🇷udis (@hrbrmstr) April 9, 2019
Tis in dev-mode on all the usual social coding suspects.
Windows testing 🙏🏽 as font names can be diff there & I dislike booting legacy OSes pic.twitter.com/sV9rF9R1wz
If you’re publishing a scatter plot, consider dividing it into quadrants using the medians https://t.co/3neJQse1VT
— Maarten Lambrechts (@maartenzam) April 9, 2019