The aim of this function is to check how many missing values has our data.

find_missing_values(df, variable = NULL)

Arguments

df: dataframe
variable: selected column name/names (default value = all columns)

Value

A table and a diagram representing the number of missing values in each/selected colums.

Examples

library(ggplot2)
#> Warning: package 'ggplot2' was built under R version 4.2.3
df <- data.frame(data.frame(a = c(2,5,4,NA, 5,7,NA), b =  c(NA,NA,2,NA, 5,7,3),
c = c(23,5,4,1, 5,7,NA), d =  c(NA,NA,2,NA, 5,7,5),
e = c(4,5,4,NA, 0,7,NA), f =  c(1,123,2,87, 5,7,6),
g = c(253,NA,NA,NA, NA,NA,NA), h =  c(3,34,2,5, 5,7,56)))

find_missing_values(df)
#> $Table
#>   Column name Number of missing values
#> 1           a                        2
#> 2           b                        3
#> 3           c                        1
#> 4           d                        3
#> 5           e                        2
#> 6           f                        0
#> 7           g                        6
#> 8           h                        0
#> 
#> $Diagram
#> Warning: Removed 2 rows containing missing values (`position_stack()`).

#> 
find_missing_values(df, variable = c("a", "e"))
#> $Table
#>   Column name Number of missing values
#> 1           a                        2
#> 2           e                        2
#> 
#> $Diagram

#> 
find_missing_values(df, variable = "b")
#> $Table
#>   Column name Number of missing values
#> 1           b                        3
#> 
#> $Diagram

#>