Potpourri: Statistics #64

657. Tidymodels: tidy machine learning in R658. The Seven Key Things You Need To Know About dplyr 1.0.0659. Introduction to Data Science660. When Is Anonymous Not Really Anonymous?661. Empirical Papers for Teaching Causal Inference662. Why log ratios are useful for tracking COVID-19663. Effect Sizes and Power for Interactions in ANOVA Designs664. Why I’m not making COVID19 visualizations, and why you (probably) shouldn’t either665. ~~Word Rank Slope Charts~~666. Displaying time series with R667. New parsnip-adjacent packages668. ~~Exploring tidymodels With Hockey Data~~669. Conducting and Visualizing Specification Curve Analyses670. How John Burn-Murdoch’s Influential Dataviz Helped The World Understand Coronavirus671. Spatial Aggregation672. Bayes’ theorem in three panels673. The Evolution of the American Census674. How to standardize group colors in data visualizations in R675. Calibrating time zones: an early bird or a night owl?676. Program Evaluation