This is a project to learn the basics of the Tidyverse, diving into the details where necessary.
From the TidyR CRAN:
Tidy data is a standard way of mapping the meaning of a dataset to its structure. A dataset is messy or tidy depending on how rows, columns and tables are matched up with observations, variables and types. In tidy data:
- Every column is a variable.
- Every row is an observation.
- Every cell is a single value.
- Why R & the Tidyverse?
- Tips, tricks and the RStudio IDE
- Mutate & summarise