var_missing: Apply a statistic function to all variables
In k5: Kiernan Nicholls Miscellaneous
var_missing R Documentation
Apply a statistic function to all variables
Description
Apply either count_na() or dplyr::n_distinct() to every column of a data
frame and return the count and share of total values (either proportion
missing or proportion distinct).
Usage
var_missing(df)
var_distinct(df)
Arguments
df
A data frame to glimpse.
Value
Invisibly, a table of statistics by column of a data frame.
Examples
var_missing(dplyr::storms)
var_distinct(dplyr::storms)
k5 documentation built on May 29, 2024, 7:48 a.m.
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| var_missing | R Documentation |
Apply a statistic function to all variables
Description
Apply either count_na() or dplyr::n_distinct() to every column of a data
frame and return the count and share of total values (either proportion
missing or proportion distinct).
Usage
var_missing(df)
var_distinct(df)
Arguments
df |
A data frame to glimpse. |
Value
Invisibly, a table of statistics by column of a data frame.
Examples
var_missing(dplyr::storms)
var_distinct(dplyr::storms)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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