inspect_na: Summarize missingness in data frame columns

In bulkreadr: The Ultimate Tool for Reading Data in Bulk

Summarize missingness in data frame columns

Description

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.

Usage

inspect_na(df)

Arguments

df	A data frame

Details

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.

Value

A tibble summarizing the count and percentage of columnwise missingness for a data frame.

Examples

library(dplyr)

# dataframe summary

inspect_na(airquality)

# grouped dataframe summary

airquality %>%
group_by(Month) %>%
 inspect_na()

bulkreadr documentation built on May 29, 2024, 1:35 a.m.