– 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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