Potpourri: Statistics #83

1213. A detailed guide to colors in data vis style guides1214. parlscot: An R package to download Scottish Parliamentary data1215. France 2022: How to predict an election1216. peacesciencer: Tools and Data for Quantitative Peace Science1217. Left-Right Placements of GB Westminster Constituencies in 20211218. Effects of Causes and Causes of Effects1219. A Critical Perspective on Effect Sizes1220. Codebook Package Comparison1221. Micronumerosity1222. A Journey to gghdr1223. Sports Data Analysis and Visualization1224. Creating APIs for Data Science With plumber1225. RMarkdown is great1226. Do cluster robust standard errors give false positives on cross-level interactions?1227. Neural Networks and Deep Learning1228. Web scraping in R1229. How to Correctly Use Lists in R?1230. Linear Regression1231. Groundhog 2.0: Further addressing the threat R poses to reproducible research1232. Violent Incident Information from News Articles1233. Predicting Goals Using the Winning Odds1234. Uncommon advice on becoming a data scientist in the public interest1235. The cursed Morgan Stanley Covid-19 visualization1236. Stop aggregating away the signal in your data1237. loopurrr: Translate purrr functions into regular for loops1238. PRISMA2020: An R package and Shiny app for producing PRISMA 2020-compliant flow diagrams, with interactivity for optimised digital transparency and Open Synthesis1239. Wikidata for data journalism1240. Frustration: One Year With R1241. Teaching R in a Kinder, Gentler, More Effective Manner: Use Base-R, Not the Tidyverse1242. Handbook of Regression Modeling in People Analytics1243. Using Amazon S3 with R1244. Deep Learning Is Hitting a Wall1245. R Without Statistics1246. subs2vec: Word embeddings from subtitles in 55 languages1247. Statistical Tools for Causal Inference1248. A Dataset Documenting Representations of Machine Vision Technologies in Artworks, Games and Narratives1249. R Packages for Analyzing Spatial Data: A Comparative Case Study with Areal Data1250. ~~A couple of visualizations from ggforce~~1251. What does it mean to have a low R-squared ? A warning about misleading interpretation1252. highcharter a11y talk1253. Self-documenting plots in ggplot21254. CAST: Caret Applications for Spatio-Temporal models1255. Checking the inputs of your R functions1256. Challenges in Package Management1257. Leading Data Science Teams1258. Coding style, coding etiquette

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