392. How to read a log scale: Same distance, same growth rate 393. Fitting Bayesian Models using Stan and R 394. A visual introduction to machine learning 395. If You Say Something Is “Likely,” How Likely Do People Think It Is? 396. Tidy Eval Meets ggplot2 397. Bubble-grid-maps 398. From data to viz 399. Analyzing […]
Category: statistics
At what age are people considered old?
At what age are people being described as being old? I saw the figure below getting a lot of attention on Twitter with the description: ‘As a kid my dad told me “The age you consider ‘old’ is the square-root of your age times 10”. At 9 you think 30 is old, at 16 you […]
Potpourri: Statistics #46
380. ML beyond Curve Fitting: An Intro to Causal Inference and do-Calculus 381. Xenographics: Weird but (sometimes) useful charts 382. An R package for sensitivity analysis (konfound) 383. How to Choose and Design the Perfect Chart 384. Digging deeper: online resources for intermediate to advanced R users 385. Animated Directional Chord Diagrams 386. Making a […]
Potpourri: Statistics #45
364. Supervised vs. Unsupervised Learning: Exploring Brexit with PLS and PCA 365. Sentiment Analysis of 5 popular romantic comedies 366. How to justify your alpha: step by step 367. Comprehensive list of color palettes available in R 368. Visualizing Outliers 369. Generating codebooks in R 370. Introducing geofacet 371. Causal Inference: The Mixtape 372. Prime […]
Problems with The Global Gender Gap Report
Or, why is Rwanda doing better than Denmark? In this post I outline basic methodological problems with The Global Gender Gap Report (the GGGR). The GGGR is developed by the World Economic Forum (WEF) and “benchmarks 144 countries on their progress towards gender parity across four thematic dimensions.” Benchmarking 144 very different countries on their […]