Tidy Data

This is a beginner friendly session. We'll be working through Chapter 12 of the R for Data Science book. This is available freely online at http://r4ds.had.co.nz . There will be a short presentation and then we'll work through some exercises together. This will involve learning about the functions: (spread(), gather(), separate(), unite(), inner_join()).

Afterwards, we will try these out on our own data. So please, if you can, bring along some of your own data. You could be working on this data at the moment, or it could be something you have used in the past. If you don't have any data, this would be a good learning opportunity to try and find some open source data from the internet.

This will be an interactive session so please bring your laptop. Ideally this should have R and RStudio installed. If you have trouble downloading these, you can use https://rstudio.cloud/. You will also need the tidyverse R package. You might want to install this before coming along to the session. You can do this by running install.packages("tidyverse") in R.

We are in Lancaster University Library - Room C135 and the session will run from 6pm - 8pm with a short break in the middle. Snacks and soft drinks will be provided.