I 2016 underviste jeg et kandidatfag på Syddansk Universitet, hvor jeg anbefalede de studerende at lære R. R var ikke en del af faget, men de studerende fik mig overtalt til at afholde en workshop, hvor jeg introducerede dem til R. I den forbindelse lavede jeg noget undervisningsmateriale på dansk, der kunne gøre det så […]
Category: statistics
Tips and tricks for ggplot2
Here is a collection of 50+ tips and tricks for ggplot2. Do read them as suggestions, or rule of thumbs, rather than principles and ideas that will generalise across contexts and presentation formats. Most of the tips and tricks are based upon material that is also available via my GitHub repository awesome-ggplot2. Here we go: […]
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. […]
How to improve your figures #10: Do not use word clouds
In a previous post, I argued that people should not use pie charts. In this post I am going to make a similar case for word clouds. In short, I will argue that word clouds provide ‘foggy’ insights (pun intended). Specifically, I will discuss a word cloud that got a lot of attention in the […]
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 […]