🏏 T20 World Cup 2024 Analytics Dashboard

A comprehensive data analytics project that provides deep insights into the ICC Men's T20 World Cup 2024 through web scraping, data processing, and interactive visualizations using Power BI.

📊 Project Overview

This project offers a complete end-to-end solution for cricket analytics, featuring:

• Web Scraping: Automated data collection from ESPNcricinfo
• Data Processing: Comprehensive data cleaning and transformation
• Interactive Dashboard: Rich Power BI visualizations with drill-down capabilities
• Player Analytics: Detailed batting and bowling performance analysis

🎯 Key Features

🛠️ Technical Stack

• Data Collection: JavaScript web scraping scripts
• Data Processing: Python (Pandas, NumPy)
• Visualization: Microsoft Power BI
• Data Storage: CSV format for easy analysis

📁 Project Structure

T20WorldCup2024-Analytics/
├── 📊 data(csv_files)/
│   ├── match_data.csv          # Match results and outcomes
│   ├── bating_data.csv         # Detailed batting statistics
│   ├── bowling_data.csv        # Comprehensive bowling data
│   └── players_data.csv        # Player profiles and information
├── 🕷️ web_scrapping_codes/
│   ├── t20_wc_batting_summary.js    # Batting data scraper
│   ├── t20_wc_bowling_summary.js    # Bowling data scraper
│   ├── t20_wc_match_results.js      # Match results scraper
│   └── t20_wc_player_info.js        # Player information scraper
├── 📝 data_preprocessing.ipynb      # Data cleaning and transformation
├── 📊 wc24_PB.pbix                  # Interactive Power BI dashboard
└── 📖 README.md                     # Project documentation

🗃️ Data Sources

Primary Data Collection

• ESPNcricinfo: Official match statistics and player data
• Comprehensive Coverage: All 20 participating teams and 55 matches

Data Categories

1. Match Data: 55 matches with results, venues, dates, and margins
2. Batting Data: 854+ batting innings with detailed statistics
3. Bowling Data: 597+ bowling spells with performance metrics
4. Player Data: 276+ player profiles with career information

🚀 Getting Started

Prerequisites

• Microsoft Power BI Desktop
• Python 3.7+ (for data preprocessing)
• Web browser with JavaScript enabled (for scraping)

Installation & Setup

1. Clone the Repository

   git clone [repository-url]
   cd T20WorldCup2024-Analytics

2. Data Collection (Optional - data already provided)

   # Run web scraping scripts to collect fresh data
   cd web_scrapping_codes/
   # Execute JavaScript files in your preferred environment

3. Data Preprocessing

   # Open Jupyter notebook
   jupyter notebook data_preprocessing.ipynb

4. Dashboard Access

   • Open wc24_PB.pbix in Power BI Desktop
   • Refresh data connections if needed
   • Explore interactive visualizations