EDA Tool - R Shiny Application

Overview

This R Shiny application provides a comprehensive Exploratory Data Analysis (EDA) tool. It is designed to facilitate statistical analysis and data handling, especially focusing on handling missing values and performing various statistical tests.

Features

Data Import

• Upload CSV files for analysis.

Data Viewing

• View the uploaded data in an interactive table format.

Data Summary

• Generate detailed summaries for numeric and non-numeric data.
• Custom function summaryNEW for extended statistical summaries.

Statistical Tests

• Perform Chi-squared tests, T-tests, and Pearson correlation analysis.
• Custom methods for edatool class to handle these tests.

Handling Missing Values

• Reports on missing values in the dataset.
• Options to handle missing values in numeric and non-numeric columns, including deletion of rows/columns or imputation with mean, median, mode, or constant values.

Tabulated UI

• Organized user interface with separate tabs for different functionalities.

Technical Details

Libraries Used

• shiny
• shinydashboard
• DescTools
• stats
• Rcpp
• installr
• e1071

Class and Method Extensions

• A new class edatool inheriting from data.frame is created.
• Generic functions and methods for statistical analysis and data handling are defined for the edatool class.

Installation of Necessary Packages

• Automatic installation of required packages if they are not already installed.

Usage

1. Run the Shiny application script.
2. Upload a CSV file using the file input control.
3. Explore the various tabs to view data, generate summaries, perform statistical tests, and handle missing values.