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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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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Tidy Messy Data
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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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https://tidyr.tidyverse.org/logo.png
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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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