| Description |
“Tidy data” is a term that describes a standardized approach to structuring datasets to make statistical analyses and visualizations easier. In this tutorial you will learn how to modify, filter, arrange, and summarize your data with dplyr and other tidyverse packages. We will go over operations like merging two or more datasets, reshaping your data into the layout that works the best, and summarizing the data to explore hidden levels of information.
Recommended prerequisite: If you are new to the R environment we strongly recommend that you also register for the “Introduction to R” tutorial. |
