lares (version 5.1.0)

freqs_plot: Combinated Frequencies Plot for Categorical Features

Description

Plot frequencies of multiple categories within a data.frame in a new fancy way. Tidyverse friendly, based on lares::freqs(), no limits on amount of features to evaluate.

Usage

freqs_plot(
  df,
  ...,
  top = 10,
  rm.na = FALSE,
  abc = FALSE,
  title = NA,
  subtitle = NA
)

Arguments

df

Data.frame

...

Variables. Variables you wish to process. Order matters. If no variables are passed, the whole data.frame will be considered

top

Integer. Filter and plot the most n frequent for categorical values. Set to NA to return all values

rm.na

Boolean. Remove NA values in the plot? (not filtered for numerical output; use na.omit() or filter() if needed)

abc

Boolean. Do you wish to sort by alphabetical order?

title

Character. Overwrite plot's title with.

subtitle

Character. Overwrite plot's subtitle with.

Value

Plot. Result of the frequency of combined variables.

See Also

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

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

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

Examples

# NOT RUN {
Sys.unsetenv("LARES_FONT") # Temporal
data(dft) # Titanic dataset

df <- freqs_plot(dft, Pclass, Survived)
head(df$data)
plot(df)

freqs_plot(dft, Pclass, Survived, Sex, Embarked)

freqs_plot(dft, Pclass, Survived, Sex, Embarked, top = 15)
# }