Display a summary of the variables

Exports the basic statistics of the variables within a data frame into a temporary directory. This includes a plots of the prevalence of missing values and frequency of category levels and a table image containing variable's type summary count of the number of rows, missing values, unique values and zero values for each variable.

eda_variable_summary(.dataset)

Arguments

.dataset	A data frame requiring exploratory data analysis.

Value

The data frame is returned invisibly so that the function can be used in a piped workflow.

Figures

See also

This is an example of exploratory data analysis using the dlookr and inspectdf packages.

Other exploratory data analysis: eda_variable_collection(), eda_variable_correlation(), eda_variable_distribution(), eda_variable_outliers()

Examples

# example from palmerpenguins
# https://allisonhorst.github.io/palmerpenguins/reference/penguins_raw.html
suppressPackageStartupMessages({
  library(store)
  suppressWarnings({
    library(palmerpenguins)
  })
})

suppressWarnings({
  suppressMessages({
    eda_variable_summary(penguins_raw)
  })
})

# move figures from temporary directory
suppressPackageStartupMessages({
  suppressWarnings({
    library(fs)
    library(here)
  })
})
if(dir_exists(here("man", "figures"))) {
  file_move(path(tempdir(), "figures", "01-summary_table.png"),
            here("man", "figures", "01-summary_table.png"))

  file_move(path(tempdir(), "figures", "02-missing_data.png"),
            here("man", "figures", "02-missing_data.png"))

  file_move(path(tempdir(), "figures", "03-category_data.png"),
            here("man", "figures", "03-category_data.png"))
}