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 141100. A beginner's guide to Shiny modules1101. Fill the region between two lines in ggplot21102. Custom {ggplot2} point shapes with {gggrid}1103. ~~An Exploratory Introduction to the Plotly Package~~1104. Lessons on ML Platforms — from Netflix, DoorDash, Spotify, and more1105. 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 visualisation1106. A new dataviz+streaming project all about The Office!1107. Top 21 #RStats tweets of 20211108. Survival Analysis in tidymodels1109. Survival Analysis in Python1110. Comparing Distributions1111. The minimum post-stratification weight in a simple-random-sample equals the response rate1112. R Markdown Lesser-Known Tips & Tricks #1: Working in the RStudio IDE1113. Declutter and Focus: Empirically Evaluating Design Guidelines for Effective Data Communication1114. Get coordinates from fictitious maps1115. Efficient and beautiful data visualisation1116. Making Waves in ggplot: An Rtistry Tutorial1117. Learning to code1118. What do you need to do to make a matching estimator convincing? Rhetorical vs statistical checks1119. Obtaining consistent time series from Google Trends1120. Tidy Data Tutor helps you visualize data analysis pipelines1121. Linear Algebra Done Right1122. The Science of Pie Charts – Why We Don't Read them By Angle1123. Estimating mood from existing surveys1124. How not to be lost with VSCode when coming from RStudio?1125. making maps with R1126. Estimating correlations adjusted for group membership1127. Animated map and lineplot with R1128. Spatial Data Programming with Python1129. The Open Handbook of Experience Sampling Methodology1130. How to extract speeches held at Austria’s parliament1131. Row-wise operations with the {tidyverse}1132. Using deep learning to generate offensive license plates1133. A brief tour of tabbycat1134. ~~6 simple Shiny things I have learned from creating a somewhat small app~~1135. Doing maps in R1136. Clarity and Aesthetics in Data Visualization: Guidelines1137. Winners of the 2021 Table Contest

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