R Weekly Highlights

Data Science as an atomic habit, Japan soccer league season review, Fantasy football scheduling, and UseR! 2021 call for tutorials Episode Links This week's curator: Wolfram King Data science as an atomic habit J.League Soccer 2020 Season Review with R! Fantasy Football and the Classical Scheduling Problem UseR! 2021: Call for Tutorials Supplemental Resources Book Review: Atomic Habits ffsched - R package for simulating schedules and standings for fantasy football UseR! 2020 Tutorials Playlist Lifelong Learning with R Weekly (Wolfram Qin) lightning talk at rstudio::global! Session 1: 2021-01-21 10:21 PM - 10:26 PM EST / 2021-01-22 03:21 AM - 03:26 AM UTC Session 2: 2021-01-22 10:21 AM - 10:26 AM EST / 2021-01-22 03:21 PM- 03:26 PM UTC

Plots with GitHub Actions, and major updates to {renv} and {fastai} Episode Links This week's curator: Batool Almazrouq Automatic Rendering of a Plot with GitHub Actions {renv} 0.12.5: Project Environments {fastai} 2.0.2: Interface to fastai Supplemental Resources GitHub Actions: built by you, run by us R-Podcast Episode 32: RStudio's Big Move and Kevin Ushey Fully containerized R dev environment with Docker, RStudio, and VS-Code What does it mean to freeze or unfreeze a model?

Data Science course in a box, up and running with blogdown, and voting visualization in Switzerland Episode Links This week's curator: Wolfram King Data Science Course in a Box - The core content of the course focuses on data acquisition and wrangling, exploratory data analysis, data visualization, inference, modelling, and effective communication of results. Up & running with blogdown in 2021 A version of the famous visualization - Land doesn't vote, people do Supplemental Resources A Fresh Look at Introductory Data Science The R-Podcast Episode 31: Data Science Education with R ‘For responsible businesses – protecting human rights and the environment’ initiative background

R Markdown family updates & table contest results Episode Links This week's curator: Wolfram King Winners of the 2020 RStudio Table Contest Latest News from the R Markdown Family Supplemental Resources Editable DataTables in R Shiny using SQL

Targetopia, extracting JSON data, and ggrepel update Episode Links This week's curator: Ryo Nakagawara (@R_by_Ryo) The targetopia: An R package ecosystem for democratized reproducible pipelines at scale Extracting JSON data from websites and public APIs with R {ggrepel}: Automatically Position Non-Overlapping Text Labels with ggplot2. Entire issue available at rweekly.org/2020-51 Supplement resources {targets} statement of need {stantargets} {ggrepel} 0.9.0 changelog

Underrated tidyverse functions, bullet chart variants, and AWS Lambda with R Episode Links This week's curator: Eric Nantz (@theRcast) Underrated Tidyverse Functions Bullet Chart Variants in R R on AWS Lambda with containers Entire issue available at rweekly.org/2020-50

Extended ggplot2 tutorial, static code analysis, and a customized visual CV with ggplot2 Episode Links This week's curator: Jonathan Carroll (@carroll_jono) An extended version of "A ggplot2 Tutorial for Beautiful Plotting" A brief introduction to the basics of R's static code analysis Creation of a custom visual CV by ggplot hacking Entire issue available at rweekly.org/2020-49

About this episode Your first R package, magrittr 2.0, and Engineering Shiny use case Episode Links This week's curator: Maelle Salmon (@ma_salmon) Your first R package in 1 hour magrittr 2.0 is here! Use case from "Engineering Production-Grade Shiny Apps" - Building an App, from Start to Finish Entire issue available at rweekly.org/2020-48 Supplement Resources Recording of Shannon's workshop on YouTube: youtu.be/xcXzaEmZ-m4

About this episode Testthat utility belt, NHS-R conference, and application of Bayesian networks to sports injury prediction Episode Links This week's curator: Jon Calder (@jonmcalder) NHS-R 2020 Week Long Conference -- so much great content, so little time to catch it all... Helper code and files for your testthat tests Bayesian networks and sports injuries with {bnlearn} Entire issue available at rweekly.org/2020-47 Supplement Resources https://nhsrcommunity.com/blog/nhs-meets-r/

About this episode Open-access tools to find conronaviruses, developing inside containers, and error handling Episode Links This week's curator: Colin Faye (@_colinFay) Using Open-Access Tools (rentrez, taxize) to Find Coronaviruses, Their Genetic Sequences, and Their Hosts How to develop inside a Docker container to ease collaboration? YAPOEH! (Yet another post on error handling) Entire issue available at rweekly.org/2020-46