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  • 2022/05/08 R is not a statistical software. It is a programming language that is great at statistics! #RStats #DataScience
  • 2022/05/01 Excited to see our paper “Data visualisation using R for researchers who don’t use R” formally published in AMPPS today! Paper for downloading PDF: https://t.co/IwM85mus3I Bookdown for working through tutorial: https://t.co/MZ6nlM3cTC #rstats https://t.co/Yd1MkeB85t
  • 2022/04/24 Read for free “R Graphics Cookbook, 2nd edition” by @winston_chang - a hands-on guide with more than 150 recipes to help you quickly create high-quality diagrams. https://t.co/0A0L9OZbmg #rstats #bookdown #rmarkdown #dataviz https://t.co/DEVbcB2ht9
  • 2022/04/10 Check out my last tutorial on mapping rivers in R if you’d like to make a similar map of European rivers! 🥳 💻https://t.co/qi2oLYSM5e #rivers #africa #datavisualization #visualization #dataviz #RStats #DataScience #maps https://t.co/DjsZWLom5b
  • 2022/04/03 I love xaringan way too much https://t.co/tKs6DFo5iP
  • 2022/03/27 I’ve been getting a ton of questions on which skills are needed to become a data scientist. So I wrote an in-depth article on it. ❤️ Article: https://t.co/Rd6PcNedg3 #rstats https://t.co/YBt0Gvjd0L
  • 2022/03/20 If you’re looking for a 6-figure data scientist job, what if I told you that #R was a smarter choice than #python? You’d probably laugh at me right? Well please read on… #rstats https://t.co/vJMlk9spYh
  • 2022/03/13 Spring Break has given me the time to play around with some new palette options for the upcoming #MetBrewer update :) What do y’all think? #RStats #dataviz #r4ds https://t.co/IgMj9xhiEW
  • 2022/03/06 RとDAGを使って、因果推論の基礎をまとめてあるサイト。コンパクトで、図も多いので、what ifの前段階に良いかも。 https://t.co/0fSNtDP19i https://t.co/yz8mBpwhD5
  • 2022/02/27 Teaching linear regression this semester? Check out this Shiny app: https://t.co/mIKXgG3XwM My students did such a great job at “eyeball regression” I had to edit the code to add more noise to the data! 👀📈🤯 #rstats #rShiny https://t.co/d1lnrmCGE1
  • 2022/02/13 \begin{thread} Here are some LaTeX tricks I’ve found useful when writing PDF reports in RMarkdown, with a focus on less well-documented tricks that took me longer to find. #RStats
  • 2022/02/06 😀 I’m very happy to share #RStats slides (~240) from my course “R For Beginners”. It includes five modules - basics of R, Rmd docs, viz, dplyr, & xaringan. The beautiful CSS slide style is adapted from the work of @apreshill. Please give ur feedback 🔗 https://t.co/oPXfmhsY6N
  • 2022/01/30 As requested by some of you, there is now a book of these posts! 📗 https://t.co/ziDsn8dFCR Makes it easy to- 📑 read 🔍 search 🔗 share etc. It ain’t pretty, but that’s the best I’d do in a day 😅 PRs welcome if you notice that something is amiss 🙏 #rstats #DataScience https://t.co/IjS8FalXRd
  • 2022/01/23 Lecture slides for my ‘Data Science Programming Methods’ course STAT 447 from this Fall 2021 at U of Illinois are now accessible via https://t.co/hHewPJY3pl covering shell (incl sed/awk), markdown, git(hub), sql, lots of #Rstats up to packaging, and Docker. Enjoy! https://t.co/Dv6XSO1ZWj
  • 2022/01/16 We recently updated code & data for our #spatialecology book to work with the latest version of R / R packages #rstats. Will post to @uflib digital repository in the next couple of weeks, but DM me if you would like it sooner. @FortinMJ https://t.co/Tco6Ixg1bB
  • 2022/01/09 WOW. Easy and pretty, on #data labelling with the #rstats geomtextpath pkg! 📦 ggplot() + geom_textline() geom_textdensity() geom_textsmooth() https://t.co/mUkGgpSzbs https://t.co/p1vkdHtp2h
  • 2022/01/02 I spent new years eve creating a data viz of the books I read in 2021. #DataViz #RStats #GGPlot2 #Reading https://t.co/5hzcZ5T8RP
  • 2021/12/26 35 derslik R’da İlk Adımlar serisini paylaştım. Başladık artık 😊 Faydalı olmasını dilerim. Oynatma listesi: https://t.co/f2Y6v6BKpr #rstats #rstatstr https://t.co/vIkW36EPg9
  • 2021/12/19 📚 Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel Models in R 👤 Paul Roback and Julie Legler 🔗 https://t.co/gbk0yfCAe9 #rstats #datascience https://t.co/ycNIaTbxx4
  • 2021/12/12 ✨✨New Package✨✨ Happy to announce that I am soft launching my R color palette package {MetBrewer} today! Currently has over 30 palettes inspired by works at the @metmuseum and expanding! Download Instruction and Palettes here: https://t.co/Imk2UzfJiz #r4ds #dataviz #rstats https://t.co/oWlSFOpEKh
  • 2021/12/05 Today is launch day!🚀🚀 I am super excited to introduce Tidy Data Tutor a web application for visualizing your #rstats #tidyverse data analysis pipelines: https://t.co/7DuRg1ilMm (Developed with Philip Guo) https://t.co/kHzi1GGoYM
  • 2021/11/28 The first important step of a data analysis workflow is to make sure that everything about your data “makes sense”. The {diagnose} function from {dlookr} 📦 provides a detailed data diagnosis report that makes this step easy! 🔍 https://t.co/UoUEdrfUTU #rstats #DataScience https://t.co/eVxrpd0rjc
  • 2021/11/21 Pie charts provide an informative but imperfect way to visualize categorical data, but squared pie (or waffle) charts overcome some of these imperfections. The {waffle} function from the eponymous 📦 easily produces them 🧇 https://t.co/OxtCuCMhHF #rstats #DataScience https://t.co/1ui2OqHJ8k
  • 2021/11/14 #rstats tip of the day: The tayloRswift package from @adastephenson now offers a ggplot2 palette for Red (Taylor’s Version) https://t.co/WhDH5dcfvA https://t.co/NPRehrUlxg
  • 2021/11/07 My new map shows the % of female researchers in Europe, according to UNESCO data. Link to the data source is in the map just below the legend. 👩‍🔬 #women #science #womenintech #rstats #maps #dataviz #DataScience https://t.co/HB9ThI0SoV
  • 2021/10/31 📚 R for Data Science 👤 Hadley Wickham @hadleywickham, Garrett Grolemund @StatGarrett 🔗 https://t.co/o8y97kSYR5 #rstats #datascience https://t.co/DEjUpcnQiT
  • 2021/10/24 A population density map of long, slinky Chile. Took a bit of time to find an angle I like. #rayshader adventures, an #rstats tale https://t.co/ulU36V34tw
  • 2021/10/17 📚📊 Data Visualization with R 👤 Robert Kabacoff @kabacoff 🔗 https://t.co/XjomFm3k4g #rstats #datascience
  • 2021/10/10 Sometimes you may wish to sample only a portion of the data. The {slice} function family from {dplyr} 📦 provides helpers to do so ✂️ https://t.co/4tt17FnvnM #rstats #DataScience https://t.co/9e8pS7KjFn
  • 2021/10/03 The most beautiful Table 1 I’ve ever made 😍 Thanks to modelsummary by @VincentAB #dataviz #rstats https://t.co/6uJsVEmHiI
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