697. How To Read 2020 Polls Like A Pro

698. Visualizing Complex Science

699. What is machine learning, and how does it work?

700. Choosing Fonts for Your Data Visualization

701. Why linear mixed-effects models are probably not the solution to your missing data problems

702. Outstanding User Interfaces with Shiny

703. How I Taught Tidymodels, Virtually

704. How your colorblind and colorweak readers see your colors

705. Graphic Content: How Visualizing Data Is a Life-or-Death Matter

706. How to Create Brand Colors for Data Visualization Style Guidelines

707. The R package workflow

708. Introducing Modeltime: Tidy Time Series Forecasting using Tidymodels

709. Tidy Geospatial Networks in R

710. PCA with Age of Empires II data

711. A practical guide to geospatial interpolation with R

712. Oh my GOSH: Calculating all possible meta-analysis study combinations

713. Rating children’s books with empirical Bayes estimation

714. Normalizing and rescaling children’s book ratings

715. Tips from an R Journalist

716. How to improve your R package

717. A very short introduction to Tidyverse

718. purrr: Introduction and Application

719. Supervised Machine Learning for Text Analysis in R

720. 4 Tips to Make Your Shiny Dashboard Faster

721. How I share knowledge around R Markdown

722. Teaching Statistics and Data Science Online

723. a ggplot2 grammar guide

724. Five Tidyverse Tricks You May Not Know About

725. How to build a Tufte-style weather graph in R using ggplot2