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 |