All functions
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billboard
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Song rankings for billboard top 100 in the year 2000 |
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chop() unchop()
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Chop and unchop |
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complete()
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Complete a data frame with missing combinations of data |
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construction
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Completed construction in the US in 2018 |
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drop_na()
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Drop rows containing missing values |
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expand() crossing() nesting()
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Expand data frame to include all combinations of values |
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expand_grid()
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Create a tibble from all combinations of inputs |
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extract()
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Extract a character column into multiple columns using regular
expression groups |
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fill()
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Fill in missing values with previous or next value |
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fish_encounters
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Fish encounters |
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full_seq()
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Create the full sequence of values in a vector |
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gather()
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Gather columns into key-value pairs |
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hoist() unnest_longer() unnest_wider() unnest_auto()
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Rectangle a nested list into a tidy tibble |
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nest() unnest()
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Nest and unnest |
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nest_legacy() unnest_legacy()
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Legacy versions of nest() and unnest() |
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pack() unpack()
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Pack and unpack |
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pivot_longer()
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Pivot data from wide to long |
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pivot_wider()
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Pivot data from long to wide |
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relig_income
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Pew religion and income survey |
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replace_na()
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Replace missing values |
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separate()
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Separate a character column into multiple columns using a regular
expression separator |
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separate_rows()
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Separate a collapsed column into multiple rows |
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smiths
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Some data about the Smith family |
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spread()
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Spread a key-value pair across multiple columns |
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table1 table2 table3 table4a table4b table5
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Example tabular representations |
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uncount()
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"Uncount" a data frame |
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unite()
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Unite multiple columns into one by pasting strings together |
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us_rent_income
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US rent and income data |
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who population
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World Health Organization TB data |
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world_bank_pop
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Population data from the world bank |