How to work efficiently with data in R
The final section comes in two parts. It discusses reading data from and writing data to a CSV file, and introduces the pipe. Much of this section is devoted to a discussion of calculating descriptive statistics in R. The resources:
The second part provides an introduction to data wrangling in R, mostly focusing on dplyr. Topics covered include: extracting a subset of the data, rearranging the data, computing new variables in a data set, merging multiple data sets, and pivoting data between “long” and “wide” forms. Resources:
Good luck! And as always, please get in touch with me on slack if you have any questions!
NOTE: if you have run out of RStudio Cloud time and need to download the Cloud projects to work on your machine, you can use the zip files linked below.
A Dance with Data project 1006868