Tools to help to create tidy data, where each column is a variable, each row is an observation, and each cell contains a single value. 'tidyr' contains tools for changing the shape (pivoting) and hierarchy (nesting and 'unnesting') of a dataset, turning deeply nested lists into rectangular data frames ('rectangling'), and extracting values out of string columns. It also includes tools for working with missing values (both implicit and explicit).
copied from cf-staging / r-tidyr
conda install conda-forge::r-tidyrconda install conda-forge/label/cf201901::r-tidyrconda install conda-forge/label/cf202003::r-tidyrconda install conda-forge/label/gcc7::r-tidyr