freqs_df: Plot for All Frequencies on Dataframe

In lares: Analytics & Machine Learning Sidekick

Plot for All Frequencies on Dataframe

Description

This function lets the user analize data by visualizing the frequency of each value of each column from a whole data frame.

Usage

freqs_df(
  df,
  max = 0.9,
  min = 0,
  novar = TRUE,
  plot = FALSE,
  top = 30,
  quiet = FALSE,
  save = FALSE,
  subdir = NA
)

Arguments

df	Data.frame
max	Numeric. Top variance threshold. Range: (0-1]. These variables will be excluded
min	Numeric. Minimum variance threshold. Range: [0-1). These values will be grouped into a high frequency (HF) value
novar	Boolean. Remove no variance columns?
plot	Boolean. Do you want to see a plot? Three variables tops
top	Integer. Plot most relevant (less categories) variables
quiet	Boolean. Keep quiet? (or show variables exclusions)
save	Boolean. Save the output plot in our working directory
subdir	Character. Into which subdirectory do you wish to save the plot to?

Value

Plot when plot=TRUE and data.frame with grouped frequency results when plot=FALSE.

See Also

Other Frequency: freqs(), freqs_list(), freqs_plot()

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

Other Visualization: distr(), freqs(), freqs_list(), freqs_plot(), noPlot(), plot_chord(), plot_survey(), plot_timeline(), tree_var()

Examples

data(dft) # Titanic dataset
freqs_df(dft)
freqs_df(dft, plot = TRUE)

lares documentation built on Sept. 13, 2024, 1:08 a.m.