Summarize Columns in a Data Frame

Usage

summarize_columns(df, top_n = 6)

Arguments

df: A data frame to summarize. Supported column classes are numeric, integer, character, factor, logical, Date, POSIXct/POSIXt, and hms/difftime.
top_n: Maximum number of categorical levels to keep before collapsing the remainder into "Other".

Value

A data frame with one row per column and the following columns: var_name, type, n_missing, pct_missing, n_unique, summary_stats, and distribution_data. summary_stats is a list-column containing per-type summary values used by the details accordion. distribution_data is a list-column containing precomputed histogram or categorical count payloads used by the compact mini charts.

Examples

column_summary <- summarize_columns(iris)
column_summary[c(
  "var_name",
  "type",
  "n_missing",
  "pct_missing",
  "n_unique"
)]
#>                  var_name    type n_missing pct_missing n_unique
#> Sepal.Length Sepal.Length numeric         0           0       35
#> Sepal.Width   Sepal.Width numeric         0           0       23
#> Petal.Length Petal.Length numeric         0           0       43
#> Petal.Width   Petal.Width numeric         0           0       22
#> Species           Species  factor         0           0        3