df_str: Dataset columns and rows structure

In lares: Lean Analytics and Robust Exploration Sidekick

Dataset columns and rows structure

Description

This function lets the user to check quickly the structure of a dataset (data.frame). It returns multiple counters for useful metrics, a plot, and a list of column names for each of the column metrics.

Usage

df_str(df, return = "plot", subtitle = NA, quiet = FALSE)

Arguments

df	Dataframe
return	Character. Return "skimr" for skim report, "numbers" for stats and numbers, "names" for a list with the column names of each of the class types, "plot" for a nice plot with "numbers" output, "distr" for an overall summary plot showing categorical, numeric, and missing values by using plot_df distributions
subtitle	Character. Add subtitle to plot
quiet	Boolean. Keep quiet or show other options available?

Value

Depending on return input and based on your df structure:

• list with the names of the columns classified by class

• data.frame with numbers: total values, row, columns, complete rows

• plot with visualizations

See Also

Other Exploratory: corr_cross(), corr_var(), crosstab(), distr(), freqs(), freqs_df(), freqs_list(), freqs_plot(), lasso_vars(), missingness(), plot_cats(), plot_df(), plot_nums(), tree_var()

Examples

Sys.unsetenv("LARES_FONT") # Temporal
data(dft) # Titanic dataset
df_str(dft, "names")
df_str(dft, "numbers", quiet = TRUE)
df_str(dft, "plot", quiet = TRUE)

lares documentation built on Aug. 18, 2025, 5:12 p.m.