Potpourri: Statistics #80

1099. 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
1100. A beginner’s guide to Shiny modules
1101. Fill the region between two lines in ggplot2
1102. Custom {ggplot2} point shapes with {gggrid}
1103. An Exploratory Introduction to the Plotly Package
1104. Lessons on ML Platforms — from Netflix, DoorDash, Spotify, and more
1105. 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
1106. A new dataviz+streaming project all about The Office!
1107. Top 21 #RStats tweets of 2021
1108. Survival Analysis in tidymodels
1109. Survival Analysis in Python
1110. Comparing Distributions
1111. The minimum post-stratification weight in a simple-random-sample equals the response rate
1112. R Markdown Lesser-Known Tips & Tricks #1: Working in the RStudio IDE
1113. Declutter and Focus: Empirically Evaluating Design Guidelines for Effective Data Communication
1114. Get coordinates from fictitious maps
1115. Efficient and beautiful data visualisation
1116. Making Waves in ggplot: An Rtistry Tutorial
1117. Learning to code
1118. What do you need to do to make a matching estimator convincing? Rhetorical vs statistical checks
1119. Obtaining consistent time series from Google Trends
1120. Tidy Data Tutor helps you visualize data analysis pipelines
1121. Linear Algebra Done Right
1122. The Science of Pie Charts – Why We Don’t Read them By Angle
1123. Estimating mood from existing surveys
1124. How not to be lost with VSCode when coming from RStudio?
1125. making maps with R
1126. Estimating correlations adjusted for group membership
1127. Animated map and lineplot with R
1128. Spatial Data Programming with Python
1129. The Open Handbook of Experience Sampling Methodology
1130. How to extract speeches held at Austria’s parliament
1131. Row-wise operations with the {tidyverse}
1132. Using deep learning to generate offensive license plates
1133. A brief tour of tabbycat
1134. 6 simple Shiny things I have learned from creating a somewhat small app
1135. Doing maps in R
1136. Clarity and Aesthetics in Data Visualization: Guidelines
1137. 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