pie_plot

This function generates pie charts for categorical variables in the input data frame using plotly.
Pie plots offer a visual representation of the distribution of categorical variables,
making it easy to understand the frequency of each category. They are particularly
useful for exploring patterns, identifying dominant categories, and comparing the relative
frequencies of different levels within each variable.

A quick and effective data exploration toolkit. It provides essential features, including a descriptive statistics table for a quick overview of your dataset, interactive distribution plots to visualize variable patterns, Principal Component Analysis for dimensionality reduction and feature analysis, missing value imputation methods, and correlation analysis.

Zhiwei Lin

AnalysisLin

Exploratory Data Analysis

pie_plot function

<dl><dt>data</dt>
<dd>The input data frame containing categorical variables.</dd>
<dt>html</dt>
<dd>Whether the output should be in HTML format,used when knitting into HTML. Default is FALSE.</dd></dl>

Arguments

Pie Plots for Categorical Variables — pie_plot

<dl>

<dt>data</dt>
<dd>The input data frame containing categorical variables.</dd>


<dt>html</dt>
<dd>Whether the output should be in HTML format,used when knitting into HTML. Default is FALSE.</dd>

</dl>

pie_plot: Pie Plots for Categorical Variables

Description

Usage

Value

Arguments

Examples