Potpourri: Statistics #80

– 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


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