Potpourri: Statistics #85

1309. Introduction to Data Science: Data Analysis and Prediction Algorithms with R1310. K-Nearest Neighbor (KNN) Explained1311. The Ultimate Guide to Deploying a Shiny App on AWS1312. Controlling for “X”?1313. The Bias Variance Tradeoff1314. Double Descent: A Visual Introduction, A Mathematical Explanation1315. Decision Trees1316. The Importance of Data Splitting1317. Bayesian analysis of longitudinal multilevel data using brms and rethinking: Part 1, part 2, part 3, part 41318. Deep Neural Nets: 33 years ago and 33 years from now1319. Just use multilevel models for your pre/post RCT data1320. R Markdown Tips and Tricks #3: Time-savers & Trouble-shooters1321. How to create a crisp topographic map in R1322. How random forests really work1323. Fast Lane to Learning R1324. Fun With Parallel Trends1325. The Existential Threat of Data Quality1326. A dataset of Roman amphitheaters1327. How to pick the least wrong colors1328. Cool Word Clouds in R1329. Experiments and Surveys on Political Elites1330. A Very, Very Tiny Grammar of Graphics1331. Multiple colour scales in choropleth maps with {ggnewscale}1332. Understanding Contamination Bias1333. Cluster-robust inference: A guide to empirical practice1334. GIS and mapping in R: Introduction to the sf package1335. Common R Mistakes in Data Viz1336. The Peril of Power when Prioritizing a Point Estimate1337. Creating flowcharts with {ggplot2}1338. Numbers Game1339. The Do's and Don'ts When Handling Data1340. Modes, Medians and Means: A Unifying Perspective1341. Create machine learning models with R and tidymodels1342. Beautiful tables in R with gtExtras1343. Plot RGB satellite imagery in true-color with ggplot2 in R1344. R Screencasts1345. Creating Confidence Intervals for Machine Learning Classifiers1346. Tidyverse tips gathered from Dave Robinson's screencasts1347. EconHist: a relational database for analyzing the evolution of economic history (1980–2019)1348. Introducing tidyterra1349. Generative Modeling by Estimating Gradients of the Data Distribution1350. Mathematics for Machine Learning1351. Machine Learning FAQ1352. Predict Movie Ratings with User-Based Collaborative Filtering1353. The Biggest Misunderstanding about Behavioural Insights1354. Is the Pope an alien?1355. Data for Society1356. Paper List for Contrastive Learning for Natural Language Processing1357. Timely Advice – How Long Does Dataviz Take?1358. Gauges for Data Visualization, The NY Times Election Needle, and Circular Bar Charts1359. Tableau: Introduction to Tableau, More Tableau, Dashboards in Tableau1360. Data Science in Context: Foundations, Challenges, Opportunities1361. Using ggplot2 to create Treatment Timelines with Multiple Variables1362. Get your data into Wikidata or Wikibase with R: An import workflow derived from a real world project1363. Supervised Machine Learning for Text Analysis in R1364. Marginalia: A guide to figuring out what the heck marginal effects, marginal slopes, average marginal effects, marginal effects at the mean, and all these other marginal things are1365. R Workflow

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