Potpourri: Statistics #87

1420. Statistical Control Requires Causal Justification1421. Graphic Design with ggplot2: How to Create Engaging and Complex Visualizations in R1422. ggplot2 Wizardry: My Favorite Tricks and Secrets for Beautiful Plots in R1423. Deep Learning of Potential Outcomes1424. Six tips for better spreadsheets1425. Principal Component Analysis (PCA) from Scratch1426. US Election Risk Index1427. How to choose an interpolation for your color scale1428. R and the Tidyverse for working with data1429. ggplot2: Theme System Cheatsheet1430. Friends Don't Let Friends Make Bad Graphs1431. Large P-Values Cannot be Explained by Power Analysis1432. Gov 2003: Causal Inference with Applications1433. Using across() to create multiple columns1434. Pyramid Plots in ggplot21435. Pretty ggplots with custom themes, ggtext, and ggh4x1436. 5 things journalists need to know about statistical significance1437. The ultimate beginner’s guide to generalized linear models (GLMs)1438. ~~Testing dbplyr packages~~1439. Generalized Additive Models1440. Hillshade effects1441. Coloring your ggplot2 art like a pro1442. STAT 286/GOV 2003: Causal Inference with Applications1443. Causal Inference in R Workshop1444. Building Production-Quality Shiny Applications1445. Machine learning with tidymodels1446. What They Forgot to Teach You About R1447. Reflexivity in Quantitative Research: a Rationale and Beginner’s Guide1448. Awesome Quarto: A curated list of Quarto talks, tools, examples & articles1449. Why do tree-based models still outperform deep learning on tabular data?1450. Industry Perspective: Tree-Based Models vs Deep Learning for Tabular Data1451. Collection of various algorithms implemented in R1452. Stata-schemes1453. Pretty Maps in Python1454. A primer on word embeddings: What’s Behind Word2vec, Words into Vectors, Statistical Learning Theory, The Word2vec Classifier, The Word2vec Hyperparameters, Characteristics of Word Embeddings1455. Building tidy tools1456. Using dplyr's group_by function with and without summarize (CC233)1457. Introduction to Probability for Data Science1458. Effective Maps, Easily Done: Visualizing Geo-Psychological Differences Using Distance Weights1459. The Past and Future of Shiny1460. A Very Short List of Common Pitfalls in Research Design, Data Analysis, and Reporting1461. How to make a great R reproducible example1462. Bayesian Statistics: Independent readings course on Bayesian statistics1463. Base-R Is Alive and Well1464. Excel Esports: ALL-STAR BATTLE1465. Text As Data: A course on analyzing political texts using the R programming language1466. Coffee Quality Institute Database1467. ggdensity: Improved density visualization in R1468. Detecting Influential Points in Regression with DFBETA(S)1469. Logistic Regression

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