# Tidy Messy Data

## Documentation for package ‘tidyr’ version 1.3.1

- DESCRIPTION file.
- Package NEWS.

## Help Pages

billboard | Song rankings for Billboard top 100 in the year 2000
chop | Chop and unchop
cms_patient_care | Data from the Centers for Medicare & Medicaid Services
cms_patient_experience | Data from the Centers for Medicare & Medicaid Services
complete | Complete a data frame with missing combinations of data
construction | Completed construction in the US in 2018
crossing | Expand data frame to include all possible combinations of values
drop_na | Drop rows containing missing values
expand | Expand data frame to include all possible combinations of values
expand_grid | Create a tibble from all combinations of inputs
extract | Extract a character column into multiple columns using regular expression groups
fill | Fill in missing values with previous or next value
fish_encounters | Fish encounters
full_seq | Create the full sequence of values in a vector
gather | Gather columns into key-value pairs
hoist | Hoist values out of list-columns
household | Household data
nest | Nest rows into a list-column of data frames
nesting | Expand data frame to include all possible combinations of values
nest_legacy | Legacy versions of 'nest()' and 'unnest()'
pack | Pack and unpack
pivot_longer | Pivot data from wide to long
pivot_wider | Pivot data from long to wide
population | World Health Organization TB data
relig_income | Pew religion and income survey
replace_na | Replace NAs with specified values
separate | Separate a character column into multiple columns with a regular expression or numeric locations
separate_longer_delim | Split a string into rows
separate_longer_position | Split a string into rows
separate_rows | Separate a collapsed column into multiple rows
separate_wider_delim | Split a string into columns
separate_wider_position | Split a string into columns
separate_wider_regex | Split a string into columns
smiths | Some data about the Smith family
spread | Spread a key-value pair across multiple columns
table1 | Example tabular representations
table2 | Example tabular representations
table3 | Example tabular representations
table4a | Example tabular representations
table4b | Example tabular representations
table5 | Example tabular representations
unchop | Chop and unchop
uncount | "Uncount" a data frame
unite | Unite multiple columns into one by pasting strings together
unnest | Unnest a list-column of data frames into rows and columns
unnest_legacy | Legacy versions of 'nest()' and 'unnest()'
unnest_longer | Unnest a list-column into rows
unnest_wider | Unnest a list-column into columns
unpack | Pack and unpack
us_rent_income | US rent and income data
who | World Health Organization TB data
who2 | World Health Organization TB data
world_bank_pop | Population data from the World Bank