– Investigation of Data Irregularities in *Doing Business 2018* and *Doing Business 2020*

– Dyadic Clustering in International Relations

– Forecasting: Principles and Practice

– Data Disasters

– A Quick How-to on Labelling Bar Graphs in ggplot2

– Data visualisation using R, for researchers who don’t use R

– Easy access to high-resolution daily climate data for Europe

– Put R Models in Production

– Machine learning, explained

– Three ways to visualize binary survey data

– In defense of simple charts

– Modern Statistics with R

– How to avoid machine learning pitfalls: a guide for academic researchers

– Tune xgboost models with early stopping to predict shelter animal status

– Machine-learning on dirty data in Python: a tutorial

– I saw your RCT and I have some worries! FAQs

– Up and running with officedown

– Use racing methods to tune xgboost models and predict home runs

– The 5-minute learn: Create pretty and geographically accurate transport maps in R

– R’s Internal Data Formats: .Rda, .RData, .rds

– Improve Your Code – Best Practices for Durable Code

– An educator’s perspective of the tidyverse

– Estimating regression coefficients using a Neural Network (from scratch)

– Let users choose which plot you want to show

– A look into ANOVA. The long way.

– 3 alternatives to a discrete color scale legend in ggplot2

– Downloading the Census Household Pulse Survey in R

– The Stata Guide

– The Four Pipes of magrittr

– Introducing {facetious} – alternate facets for ggplot2

– Alternatives to Simple Color Legends in ggplot2

– Top 3 Coding Best Practices from the Shiny Contest

– Visualizing ordinal variables

– Making Shiny apps mobile friendly

– Climate circles

– Elegant and informative maps with tmap

– Exploring R² and regression variance with Euler/Venn diagrams

– Exploring Pamela Jakiela’s simple TWFE diagnostics with R

– The marginaleffects package for R

– A lightweight data validation ecosystem with R, GitHub, and Slack

– Create spatial square/hexagon grids and count points inside in R with sf

– A daily updated JSON dataset of all the Open House London venues, events, and metadata

– Animating Network Evolutions with gganimate

– Beyond Bar and Box Plots

– Causal Inference in R Workshop

– Odds != Probability

– How to visualize polls and results of the German election with Datawrapper

– Irreproducibility in Machine Learning

– tidybundestag

– A collection of themes for RStudio

– Shiny, Tableau, and PowerBI: Better Business Intelligence

– Automate PowerPoint Production Using R

– Estimating graph dimension with cross-validated eigenvalues

– Understanding text size and resolution in ggplot2

– Introduction to linear mixed models

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