Potpourri: Statistics #64

657. Tidymodels: tidy machine learning in R
658. The Seven Key Things You Need To Know About dplyr 1.0.0
659. Introduction to Data Science
660. When Is Anonymous Not Really Anonymous?
661. Empirical Papers for Teaching Causal Inference
662. Why log ratios are useful for tracking COVID-19
663. Effect Sizes and Power for Interactions in ANOVA Designs
664. Why I’m not making COVID19 visualizations, and why you (probably) shouldn’t either
665. Word Rank Slope Charts
666. Displaying time series with R
667. New parsnip-adjacent packages
668. Exploring tidymodels With Hockey Data
669. Conducting and Visualizing Specification Curve Analyses
670. How John Burn-Murdoch’s Influential Dataviz Helped The World Understand Coronavirus
671. Spatial Aggregation
672. Bayes’ theorem in three panels
673. The Evolution of the American Census
674. How to standardize group colors in data visualizations in R
675. Calibrating time zones: an early bird or a night owl?
676. Program Evaluation