| freqs_plot {lares} | R Documentation |
Combined 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
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)