link to presentation: https://rawgit.com/rmhogervorst/datawrangling/master/slides.html
This is the githubpage for the presentation:
Data munging/ Wrangling / Rectanguling your data.
I gave this short talk to my coworkers of the Methodology and Statistics department of Psychology - Leiden University.
In statistics education we focus on basic statistics, probability and models. However, our students (and many of us as well) have a hard time getting their data in their statistical program, reshaping or cleaning it. Modern tools in R (known as "the Tidyverse") are build around the philosophy of 'tidy' data and consist of rectangular data and tooling (packages) that all work in the same way. This is an introduction to the "tidyverse"" and I have some examples of data manipulation that should be trivial, but is often not.
keywords: tidy data, tidyverse,