726. Computational Causal Inference at Netflix

727. Tools for Ex-post Survey Data Harmonization

728. How to pick more beautiful colors for your data visualizations

729. Shiny in Production: App and Database Syncing

730. Introduction to Causal Inference

731. An Illustration of Decision Trees and Random Forests with an Application to the 2016 Trump Vote

732. Key things to know about election polling in the United States

733. State-of-the-art NLP models from R

734. Introduction to Stan in R

735. How to write your own R package and publish it on CRAN

736. Bayesian Analysis for A/B Testing

737. Estimating House Effects

738. Heatmaps in ggplot2

739. The Taboo Against Explicit Causal Inference in Nonexperimental Psychology

740. Spreadsheet workflows in R

741. A beginner’s guide to Shiny modules

742. Dataviz Interview

743. 10 Things to Know About Survey Experiments

744. Applying Weights

745. Creating effective interrupted time series graphs: Review and recommendations

746. Lasso and the Methods of Causality

747. How We Designed The Look Of Our 2020 Forecast

748. Taking Control of Plot Scaling

749. ~~How to measure spatial diversity and segregation?~~

750. 10+ Guidelines for Better Tables in R

751. How maps in the media make us more negative about migrants

752. Comparing two proportions in the same survey

753. Quantitative Social Science Methods, I (Gov2001 at Harvard University)

754. Introduction to Computational Thinking

755. Creating R Packages with devtools

756. Introduction to Statistical Learning in R

757. ~~Textrecipes series: Pretrained Word Embedding~~