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AnalysisLin (version 0.1.2)

Exploratory Data Analysis

Description

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.

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Version

Install

install.packages('AnalysisLin')

Monthly Downloads

265

Version

0.1.2

License

MIT + file LICENSE

Maintainer

Zhiwei Lin

Last Published

January 30th, 2024

Functions in AnalysisLin (0.1.2)

desc_stat

Descriptive Statistics
bar_plot

Bar Plots for Categorical Variables
corr_cluster

Correlation Clustering
pca

Principal Component Analysis (PCA)
pie_plot

Pie Plots for Categorical Variables
hist_plot

Histogram Plot for Numerical Variables
qq_plot

QQ Plots for Numerical Variables
corr_matrix

Correlation Matrix
impute_missing

Missing Value Imputation
dens_plot

Numerical Variables Density Plots
missing_values_plot

Missing Values Plot