Tidy data is a standard used for datasets that form tables. Essentially, tidying helps make initial data exploration and analysis easier. Additionally, since the data is set in a standard formatted way, the dataset can be interoperable, and time is not wasted rearranging the data. The principles of tidy data are:
An example of raw data (a) and how it can be transformed into tidy data (b). The tidy data has one observation per row, one variable per column and one value per cell.