- This week, we recommend two books on machine learning to our readers: Machine Learning with R by Brett Lantz (reviewed by Alvaro “Blag” Tejada Galindo), and An Introduction to Statistical Learning with Applications in R by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani (a pdf version of this book is available on Gareth James’ website).
- Patrick Burns gives a short tutorial for Excel users who want to start using R called From spreadsheet thinking to R thinking
- Andrew Gelman shares his recent debugging experience.
- Two articles on data visualization: using ggplot2 to help with barplots, and creating whale charts for visualizing customer profitability.
- Arthur Charpentier (aka Freakonometrics) wants to know what are the research interests (in statistics) of different universities. He studies 35 journals in statistics, probability and econometrics, and creates a series of really cool maps and visuals to present his findings.
- And lastly, some interesting results on the amount time people spend on watching porn videos in the UK.