missing_values_plot {AnalysisLin} | R Documentation |
Missing Values Plot
Description
This function generates plots to visualize missing values in a data frame. It includes two types of plots: - A percentage plot: Displays the percentage of missing values for each variable, allowing quick identification of variables with high missingness. - A row plot: Illustrates the distribution of missing values across rows, providing insights into patterns of missingness.
Usage
missing_values_plot(df, percentage = TRUE, row = TRUE, html = FALSE)
Arguments
df |
The input data frame. |
percentage |
A logical argument (default: TRUE) to generate a percentage plot. |
row |
A logical argument (default: TRUE) to generate a row plot. |
html |
Whether the output should be in HTML format,used when knitting into HTML. Default is FALSE. |
Value
A list of plots, including a percentage plot and/or a row plot.
Examples
data("airquality")
missing_values_plot(df = airquality, percentage = TRUE, row = TRUE)
[Package AnalysisLin version 0.1.2 Index]