inspect_na() summarizes the rate of missingness in each column of a data frame. For a grouped data frame, the rate of missingness is summarized separately for each group.
inspect_na(df)A tibble summarizing the count and percentage of columnwise missingness for a data frame.
A data frame
The tibble returned contains the columns:
col_name, a character vector containing column names of df1.
cnt, an integer vector containing the number of missing values by column.
pcnt, the percentage of records in each columns that is missing.
library(dplyr)
# dataframe summary
inspect_na(airquality)
# grouped dataframe summary
airquality %>%
group_by(Month) %>%
inspect_na()
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