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).
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curl https://depscope.dev/api/check/conda/r-tidyrFirst published · 2020-05-20 18:09:56.870000+00:00
Last updated · 2025-12-19 11:23:07.807000+00:00