Attention #rstats users:
— Claus Wilke (@ClausWilke) June 9, 2019
In a few weeks, I'm going to release #cowplot 1.0, and there are going to be some important changes from the current release. I encourage you to check out the development version now and verify things work for you. Thread. pic.twitter.com/33pAELKTnd
Here are two great examples (with code!) of how to build a sales/conversion funnel using ggplot2:
— Caitlin Hudon👩🏼💻 (@beeonaposy) June 5, 2019
1) https://t.co/xrKuNH0WcV
2) https://t.co/Hq1tn1alb0
Thanks @crozierrj and @theotheredgar! #rstats #tidyverse #dataviz https://t.co/Pzdi9knzYx pic.twitter.com/9nkbdSS2bs
I can't get over how intuitive web scraping is with the combination of rvest + SelectorGadget. If you haven't tried parsing a web page in R, give it a shot! https://t.co/tLyNyNcp98 pic.twitter.com/hpImPmR0Lm
— David Robinson (@drob) June 4, 2019
Not even 5 minutes in and I've learned a great tip from @drob's latest #tidytuesday #rstats screencast: Create a new column from an existing column and a regular expression with tidyr::extract(mydf, myexistingcol, "newcolname", "(myregex)") https://t.co/Fb3lGCYqMU
— Sharon Machlis (@sharon000) June 2, 2019
Looking forward to playing with @thomasp85's patchwork package. I've recommended cowplot in the past, but this looks magic! #SDSS2019 https://t.co/g6VdMptjlj
— Amelia McNamara (@AmeliaMN) June 1, 2019
Describe and understand Bayesian models and posteriors using bayestestR {https://t.co/PSPWTTvrXA} #rstats #DataScience
— R-bloggers (@Rbloggers) May 30, 2019
In this #tidytuesday screencast, I analyze plastic waste across countries 🗺️🗑️
— David Robinson (@drob) May 28, 2019
I make some maps and bringing in country statistics with WDI. I compare plastic waste to CO2 emissions: they have very different relationships with a country's wealth https://t.co/Ut74ODeioa #rstats pic.twitter.com/PQ0FcfaW3C
⛹️♀️ Just took my first baby steps into #WNBA stats w/ the help of @abresler's {nbastatR} package!https://t.co/tV97ZT5ZTW #rstats
— Mara Averick (@dataandme) May 25, 2019
In this week's #tidytuesday screencast, I analyze a dataset on Nobel Prize winners ⚛️☮️⚕️🏅
— David Robinson (@drob) May 24, 2019
Something I learned is that scientists used to win within 10 years of publishing the prize-winning work, and now typically wait 25 years 😯https://t.co/5hs3J5Dw3m #rstats pic.twitter.com/5XjV8PP4Fj
Sweet 📦 by @jacobandrewlong w/ nice vignettes!
— Mara Averick (@dataandme) May 23, 2019
🧰 "interactions: Comprehensive, User-Friendly Toolkit for Probing Interactions" https://t.co/fF5fLLYvq4 #rstats #dataviz pic.twitter.com/EGrjzwOkBN
Gotten a bad case of long pipes %>%? 😱
— Emil Hvitfeldt (@Emil_Hvitfeldt) May 22, 2019
Use the "Extract Variable" shortcut in RStudio with
Ctrl+Alt+V / Command+Option+V 👨🔧👩🔧#rstats @rstudio pic.twitter.com/fdE1OZc8Zf
👑 A Shiny app lets you search for names…
— Mara Averick (@dataandme) May 21, 2019
🤔 "Who named their kid Daenerys or Khaleesi?" https://t.co/nWsUUF022t #rstats pic.twitter.com/K92XcFq0jN
