– Data Vis Dispatch: June 22, June 29, July 6, July 13, July 20, July 27, August 3, August 10, August 17, August 24, August 31, September 7, September 14, September 21, September 28, October 5, October 12, October 19, October 26, November 2, November 9, November 16, November 23, November 30, December 7, December 14
– A beginner’s guide to Shiny modules
– Fill the region between two lines in ggplot2
– Custom {ggplot2} point shapes with {gggrid}
– An Exploratory Introduction to the Plotly Package
– Lessons on ML Platforms — from Netflix, DoorDash, Spotify, and more
– Advanced Data Visualisation with R: R Graphics using grid, ggplot2 internals, Writing ggplot2 extensions, Overview of tools for interactive plots, Digging deeper into reactive elements in shiny, Web apps to deliver effective data visualisation
– A new dataviz+streaming project all about The Office!
– Top 21 #RStats tweets of 2021
– Survival Analysis in tidymodels
– Survival Analysis in Python
– Comparing Distributions
– The minimum post-stratification weight in a simple-random-sample equals the response rate
– R Markdown Lesser-Known Tips & Tricks #1: Working in the RStudio IDE
– Declutter and Focus: Empirically Evaluating Design Guidelines for Effective Data Communication
– Get coordinates from fictitious maps
– Efficient and beautiful data visualisation
– Making Waves in ggplot: An Rtistry Tutorial
– Learning to code
– What do you need to do to make a matching estimator convincing? Rhetorical vs statistical checks
– Obtaining consistent time series from Google Trends
– Tidy Data Tutor helps you visualize data analysis pipelines
– Linear Algebra Done Right
– The Science of Pie Charts – Why We Don’t Read them By Angle
– Estimating mood from existing surveys
– How not to be lost with VSCode when coming from RStudio?
– making maps with R
– Estimating correlations adjusted for group membership
– Animated map and lineplot with R
– Spatial Data Programming with Python
– The Open Handbook of Experience Sampling Methodology
– How to extract speeches held at Austria’s parliament
– Row-wise operations with the {tidyverse}
– Using deep learning to generate offensive license plates
– A brief tour of tabbycat
– 6 simple Shiny things I have learned from creating a somewhat small app
– Doing maps in R
– Clarity and Aesthetics in Data Visualization: Guidelines
– Winners of the 2021 Table Contest
Previous posts: #1 #2 #3 #4 #5 #6 #7 #8 #9 #10 #11 #12 #13 #14 #15 #16 #17 #18 #19 #20 #21 #22 #23 #24 #25 #26 #27 #28 #29 #30 #31 #32 #33 #34 #35 #36 #37 #38 #39 #40 #41 #42 #43 #44 #45 #46 #47 #48 #49 #50 #51 #52 #53 #54 #55 #56 #57 #58 #59 #60 #61 #62 #63 #64 #65 #66 #67 #68 #69 #70 #71 #72 #73 #74 #75 #76 #77 #78 #79