Recognize and reshape untidy data into tidy rows and columns.
Untidy data makes future columns pretend to be new logic. The mechanism Tidy data is not an aesthetic preference; it is an interface contract for analysis. Wickham’s tidy-data principle gives each variable its own column, each observation its own row, and each observational unit its own table. The mechanism matters in R because dplyr, ggplot2, tidymodels, and many modeling functions expect variables to be columns and repeated observations to be rows. When month names live in headers, the calendar is hidden in metadata instead of available as data. That forces custom code for every new month. When the same data…
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