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| billboard | Song rankings for Billboard top 100 in the year 2000 |
| chop | Chop and unchop |
| 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 | Rectangle a nested list into a tidy tibble |
| nest | Nest and unnest |
| 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_rows | Separate a collapsed column into multiple rows |
| 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 | Nest and unnest |
| unnest_auto | Rectangle a nested list into a tidy tibble |
| unnest_legacy | Legacy versions of 'nest()' and 'unnest()' |
| unnest_longer | Rectangle a nested list into a tidy tibble |
| unnest_wider | Rectangle a nested list into a tidy tibble |
| unpack | Pack and unpack |
| us_rent_income | US rent and income data |
| who | World Health Organization TB data |
| world_bank_pop | Population data from the world bank |