1470. D’ya Like DAGs? A Survey on Structure Learning and Causal Discovery 1471. Custom Discrete Color Scales for ggplot2 1472. A New Coefficient of Correlation 1473. Ten simple rules for teaching yourself R 1474. The case for variable labels in R 1475. Fooled by beautiful data: Visualization aesthetics bias trust in science, news, and social […]

# Tag: Potpourri

### Potpourri: Statistics #87

1420. Statistical Control Requires Causal Justification 1421. Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R 1422. ggplot2 Wizardry: My Favorite Tricks and Secrets for Beautiful Plots in R 1423. Deep Learning of Potential Outcomes 1424. Six tips for better spreadsheets 1425. Principal Component Analysis (PCA) from Scratch 1426. US Election […]

### Potpourri: Statistics #86

1366. The Probability and Statistics Cookbook 1367. A Complete Introduction to R for Data Science 1368. One year in vis 1369. 10 Tips for Using Geolocation and Open Source Data to Fuel Investigations 1370. Using the terra R package to view, download and analyze Google Earth Engine Images 1371. Converting Between Currencies Using priceR 1372. […]

### Potpourri: Statistics #85

1309. Introduction to Data Science: Data Analysis and Prediction Algorithms with R 1310. K-Nearest Neighbor (KNN) Explained 1311. The Ultimate Guide to Deploying a Shiny App on AWS 1312. Controlling for “X”? 1313. The Bias Variance Tradeoff 1314. Double Descent: A Visual Introduction, A Mathematical Explanation 1315. Decision Trees 1316. The Importance of Data Splitting […]

### Potpourri: LaTeX #9

– The Not So Short Introduction to LaTeX2ε – Latex code for making neural networks diagrams – Drawing Bayesian networks, graphical models, tensors, and technical frameworks and illustrations in LaTeX – TikZ library for drawing Bayesian networks, graphical models and (directed) factor graphs in LaTeX – LaTeX Tips – I hate LaTeX. I love LaTeX. […]

### Potpourri: Statistics #84

1259. Introduktion til R 1260. Improving Your Statistical Inferences 1261. Dataviz Inspiration 1262. A guide to modeling outcomes that have lots of zeros with Bayesian hurdle lognormal and hurdle Gaussian regression models 1263. The Effects of Regularization and Data Augmentation are Class Dependent 1264. latentcor: An R Package for estimating latent correlations from mixed data […]

### Potpourri: Statistics #83

1213. A detailed guide to colors in data vis style guides 1214. parlscot: An R package to download Scottish Parliamentary data 1215. France 2022: How to predict an election 1216. peacesciencer: Tools and Data for Quantitative Peace Science 1217. Left-Right Placements of GB Westminster Constituencies in 2021 1218. Effects of Causes and Causes of Effects […]

### Potpourri: Statistics #82

1172. Seven steps toward more transparency in statistical practice 1173. Fooled by beautiful data: Visualization aesthetics bias trust in science, news, and social media 1174. 10 ways to use fewer colors in your data visualizations 1175. Why scatter plots suggest causality, and what we can do about it 1176. LOCO: The 88-million-word language of conspiracy […]

### Potpourri: Statistics #81

1138. The list of 2021 visualization lists 1139. ML and NLP Research Highlights of 2021 1140. Regression and Other Stories 1141. Causal Inference for The Brave and True 1142. Quantifying causality in data science with quasi-experiments 1143. An Introduction to Linear Mixed-Effects Modeling in R 1144. The Science of Visual Data Communication: What Works 1145. […]

### Potpourri: Statistics #80

1099. Data Vis Dispatch: June 22, June 29, July 6, July 13, July 20, July 27, August 3, August 10, August 17, August 24, August 31, September 7, September 14, September 21, September 28, October 5, October 12, October 19, October 26, November 2, November 9, November 16, November 23, November 30, December 7, December […]