Potpourri: Statistics #67

Computational Causal Inference at Netflix
Tools for Ex-post Survey Data Harmonization
How to pick more beautiful colors for your data visualizations
Shiny in Production: App and Database Syncing
Introduction to Causal Inference
An Illustration of Decision Trees and Random Forests with an Application to the 2016 Trump Vote
Key things to know about election polling in the United States
State-of-the-art NLP models from R
Introduction to Stan in R
How to write your own R package and publish it on CRAN
Bayesian Analysis for A/B Testing
Estimating House Effects
Heatmaps in ggplot2
The Taboo Against Explicit Causal Inference in Nonexperimental Psychology
Spreadsheet workflows in R
A beginner’s guide to Shiny modules
Dataviz Interview
10 Things to Know About Survey Experiments
Applying Weights
Creating effective interrupted time series graphs: Review and recommendations
Lasso and the Methods of Causality
How We Designed The Look Of Our 2020 Forecast
Taking Control of Plot Scaling
How to measure spatial diversity and segregation?
10+ Guidelines for Better Tables in R
How maps in the media make us more negative about migrants
Comparing two proportions in the same survey
Quantitative Social Science Methods, I (Gov2001 at Harvard University)
Introduction to Computational Thinking
Creating R Packages with devtools
Introduction to Statistical Learning in R
Textrecipes series: Pretrained Word Embedding