Potpourri: Statistics #73

866. Which color scale to use when visualizing data867. When to use quantitative and when to use qualitative color scales868. When to use sequential and when to use diverging color scales869. When to use classed and when to use unclassed color scales870. Patterns, predictions, and actions: A story about machine learning871. Principles for data analysis workflows872. A Comprehensive Introduction to Command Line for R Users873. ~~Reading Data from Multiple Excel Sheets and Converting it to Individual Data Frames in R ~~874. ~~Making a ggplot theme~~875. Visualizing with Text876. Why I love dplyr's across877. ~~A Multiverse Analysis of Interaction Effects~~878. ~~3200+ searchable R articles and packages~~879. Using Excel Templates as Tables in R Shiny880. A Basic Checklist for Observational Studies in Political Science 881. Understanding p-values Through Simulations: An Interactive Visualization882. One Way ANOVA with R 883. Driving Alone vs. Public Transportation in Pittsburgh884. The Effect: An Introduction to Research Design and Causality885. k-Means 101: An introductory guide to k-Means clustering in R886. Bivariate dasymetric map887. Introductory time-series forecasting with torch888. Lightweight Machine Learning Classics with R 889. ~~flextable gallery~~890. Exploring other {ggplot2} geoms891. Bayesian statistics with R

Previous posts: #1 #2 #3 #4 #5 #6 #7 #8 #9 #10 #11 #12 #13 #14 #15 #16 #17 #18 #19 #20 #21 #22 #23 #24 #25 #26 #27 #28 #29 #30 #31 #32 #33 #34 #35 #36 #37 #38 #39 #40 #41 #42 #43 #44 #45 #46 #47 #48 #49 #50 #51 #52 #53 #54 #55 #56 #57 #58 #59 #60 #61 #62 #63 #64 #65 #66 #67 #68 #69 #70 #71 #72