Virat Kohli Century Analysis

This project analyzes Virat Kohli's centuries across different cricket formats using R. It includes various statistical analyses and visualizations to gain insights into Kohli's performance.

Table of Contents

1. Project Overview
2. Data
3. Prerequisites
4. Installation
5. Usage
6. Project Structure
7. Analysis Sections

Project Overview

This R script performs a comprehensive analysis of Virat Kohli's centuries in cricket. It covers various aspects such as:

• Data preparation and cleaning
• Univariate and bivariate analyses
• Time series analysis
• Outlier detection
• Regression analysis
• Format-specific analysis (Test, ODI, T20)
• Hypothesis testing

The analysis aims to provide insights into Kohli's performance across different formats, conditions, and years.

Data

The dataset used in this analysis contains the following columns:

• Score: Runs scored by Virat Kohli.
• Balls: Balls faced during the century.
• Strike Rate: Strike rate for the century.
• Team Total: Total score by the team.
• Wickets Lost: Wickets lost by the team during Kohli's century.
• Format: Match format (e.g., ODI, Test, T20).
• Inning: Inning in which the century was scored.
• Position: Kohli's batting position.
• Against: Opponent team.
• Year: Year the century was scored.
• Not Out: Whether Kohli remained not out (Yes/No).
• MOTM: Whether Kohli was awarded the Man of the Match (Yes/No).
• Win: Whether the team won the match (Yes/No).
• Captain: Whether Kohli was the captain during the match (Yes/No).

Prerequisites

To run this analysis, you need:

• R (version 3.6.0 or higher recommended)
• RStudio (optional, but recommended)

Installation

1. Clone this repository or download the R script.
2. Install the required R packages by running the following commands in R:

install.packages(c("tidyverse", "corrplot", "nortest", "car", "BSDA"))

Usage

1. Open the R script in RStudio or your preferred R environment.
2. Set the working directory to the folder containing the script and data file.
3. Run the script section by section or as a whole.

Note: Make sure the data file "IS 2105 - Proposal - Group18 - Dataset.csv" is in the same directory as the script.

Project Structure

The main components of this project are:

• virat_kohli_analysis.R: The main R script containing all the analysis code.
• IS 2105 - Proposal - Group18 - Dataset.csv: The dataset containing Virat Kohli's century information.
• README.md: This file, providing an overview and instructions for the project.

Analysis Sections

The R script is organized into the following main sections:

1. Data Preparation
2. Univariate Analysis
   • Numerical Variables
   • Categorical Variables
3. Bivariate Analysis
4. Time Series Analysis
5. Outlier Detection
6. Regression Analysis
7. Format-Specific Analysis
   • Test Match Analysis
   • ODI Analysis
   • T20 Analysis
8. Hypothesis Testing
   • T-tests
   • Z-tests
   • Other Hypothesis Tests

Each section contains various visualizations and statistical tests to provide comprehensive insights into Kohli's centuries.