Potpourri: Statistics #78

1016. Investigation of Data Irregularities in Doing Business 2018 and Doing Business 20201017. Dyadic Clustering in International Relations1018. Forecasting: Principles and Practice1019. Data Disasters1020. A Quick How-to on Labelling Bar Graphs in ggplot21021. Data visualisation using R, for researchers who don't use R1022. Easy access to high-resolution daily climate data for Europe1023. Put R Models in Production1024. Machine learning, explained1025. Three ways to visualize binary survey data1026. In defense of simple charts1027. Modern Statistics with R1028. How to avoid machine learning pitfalls: a guide for academic researchers1029. Tune xgboost models with early stopping to predict shelter animal status1030. Machine-learning on dirty data in Python: a tutorial1031. I saw your RCT and I have some worries! FAQs1032. Up and running with officedown1033. Use racing methods to tune xgboost models and predict home runs1034. The 5-minute learn: Create pretty and geographically accurate transport maps in R1035. R's Internal Data Formats: .Rda, .RData, .rds1036. Improve Your Code - Best Practices for Durable Code1037. An educator's perspective of the tidyverse1038. Estimating regression coefficients using a Neural Network (from scratch)1039. Let users choose which plot you want to show1040. A look into ANOVA. The long way.1041. 3 alternatives to a discrete color scale legend in ggplot21042. Downloading the Census Household Pulse Survey in R1043. The Stata Guide1044. The Four Pipes of magrittr1045. Introducing {facetious} - alternate facets for ggplot21046. Alternatives to Simple Color Legends in ggplot21047. Top 3 Coding Best Practices from the Shiny Contest1048. Visualizing ordinal variables1049. Making Shiny apps mobile friendly1050. Climate circles1051. Elegant and informative maps with tmap1052. Exploring R² and regression variance with Euler/Venn diagrams1053. Exploring Pamela Jakiela’s simple TWFE diagnostics with R1054. The marginaleffects package for R1055. A lightweight data validation ecosystem with R, GitHub, and Slack1056. Create spatial square/hexagon grids and count points inside in R with sf1057. A daily updated JSON dataset of all the Open House London venues, events, and metadata1058. Animating Network Evolutions with gganimate1059. Beyond Bar and Box Plots1060. Causal Inference in R Workshop1061. Odds != Probability1062. How to visualize polls and results of the German election with Datawrapper1063. Irreproducibility in Machine Learning1064. tidybundestag1065. A collection of themes for RStudio1066. Shiny, Tableau, and PowerBI: Better Business Intelligence1067. Automate PowerPoint Production Using R1068. Estimating graph dimension with cross-validated eigenvalues1069. Understanding text size and resolution in ggplot21070. Introduction to linear mixed models

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