496. A data.table and dplyr tour 497. Mistakes, we’ve drawn a few 498. Twenty rules for good graphics 499. gganimate: The grammar of animation 500. Visualising Intersecting Sets Of Twitter Followers 501. Docker and Packrat 502. Explore your Researcher Degrees of Freedom 503. Teaching material: Data analytics and visualization 504. 10 things R can do […]
Category: statistics
Potpourri: Statistics #53
473. Why so much hate against propensity score matching? 474. R for Political Data 475. Data Science Foundations: Know your data. Really, really, know it 476. P-values 101: An attempt at an intuitive but mathematically correct explanation 477. Merging Comparative Manifesto Project and ParlGov cabinet composition data at the party-level 478. Choropleth maps with R […]
Potpourri: Statistics #52
453. Here’s why 2019 is a great year to start with R: A story of 10 year old R code then and now 454. How the BBC Visual and Data Journalism team works with graphics in R 455. Special Topics in Data Science: Responsible Data Science 456. Causal Data Science 457. From Psychologist to Data […]
How to improve your figures #1: Don’t use the y-axis to mislead
There are good reasons to think carefully about the y-axis when you design figures, including considerations on whether to start your y-axis at zero or not. In this post, I provide a simple piece of advice: when presenting bar charts on a linear scale, start at 0. Not 0.38. Not 0.31. Not 0.04. 0. The […]
Do men face more discrimination?
An article in the Daily Mail presents the argument that men face more discrimination than women. Similarly, RT writes: “Contrary to everything you’ve ever been told, in most developed countries men are actually more disadvantaged than women, according to new research published in one of the world’s leading scientific journals.” And Yahoo Finance writes “that […]