The growth of #Reddit over time. #datavizhttps://t.co/4JfmnENzbs pic.twitter.com/bNCaA8wioP
— Randy Olson (@randal_olson) September 2, 2018
The growth of #Reddit over time. #datavizhttps://t.co/4JfmnENzbs pic.twitter.com/bNCaA8wioP
— Randy Olson (@randal_olson) September 2, 2018
This week's #KernelAwards winner uses Local Interpretable Model-Agnostic Explanations (LIME) to better understand the predictions of an ML model: https://t.co/FSvY4WtYqp pic.twitter.com/AdQIMzKX9h
— Kaggle (@kaggle) August 31, 2018
🗺-tile-grid made easy w/ this code-through…
— Mara Averick (@dataandme) August 30, 2018
"Simplifying World Tile Grid Creation w/ geom_wtg()" ⚓︎ @hrbrmstrhttps://t.co/7b3pBCNvzp #rstats #dataviz #maps pic.twitter.com/9Oe37m2y8j
📊 always cool to see a chart's evolution…
— Mara Averick (@dataandme) August 29, 2018
"How to Make Better-Looking, More Readable Charts in R" 👨💻 @flowingdata https://t.co/I6Fe4RSz5c #rstats #dataviz pic.twitter.com/CMC5YMhUSx
🌟 guide: "Laying out multiple plots on a page" by @tpabhttps://t.co/GPgRPau8LN #rstats #dataviz #ggplot2 pic.twitter.com/oBxiaD6M2u
— Mara Averick (@dataandme) August 28, 2018
Gap between median household income & income needed to afford a median priced home in each U.S. state. #datavizhttps://t.co/1CJXTM919F pic.twitter.com/8EPuXEkaFw
— Randy Olson (@randal_olson) August 27, 2018
If they want to improve the quality of scientific publications, rather than banning p-values or changing the 0.05 threshold, journals should make us show the data. pic.twitter.com/UFz3xrPQZJ
— Rafael Irizarry (@rafalab) August 27, 2018
need to sanity check residuals in a multiple regression? #broom has your back:
— alex hayes (@alexpghayes) August 26, 2018
library(tidyverse)
fit <- lm(hp ~ ., mtcars)
au <- broom::augment(fit)
au %>%
gather(x, val, -contains(".")) %>%
ggplot(aes(val, .resid)) +
geom_point() +
facet_wrap(~x, scales = "free") pic.twitter.com/3MY68ByYNx
Great example of a (sleep-deprived) personal data project! https://t.co/xWILkZbq5b
— Data Science Renee (@BecomingDataSci) August 26, 2018
RainCloudPlots: A wrapper function combining a jitter plot, a box plot, and a density plot into one single function sounds like useful thing to have. The R, Matlab, and Python functions are available https://t.co/HKmMOP9XWK https://t.co/DMqZhMYbTg
— Sebastian Raschka (@rasbt) August 24, 2018
ICYMI, "The Data Analyst as Wanderer: Pre-Exploratory Data Analysis w/ R" ✏️ @daranzolin https://t.co/Pgysz7tohc (w. @nj_tierney's visdat) #rstats pic.twitter.com/Vi0jY3qy1O
— Mara Averick (@dataandme) August 22, 2018
Visual explanation of matplotlib syntax -- so helpful for learning this library!https://t.co/8nqAPInTd5 #DSLearnings #pydata #py4ds pic.twitter.com/PCQlQZ2gys
— Caitlin Hudon👩🏼💻 (@beeonaposy) August 22, 2018