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A Data Analysis project ,Case study on IPL 2024 for Anudip Foundation .

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IPL Best 11 Players Analysis - 2024

Project Overview :-

The IPL Best 11 Players Analysis project aims to identify and analyze the top 11 players of the 2024 IPL season. Using data scraped from Cricinfo, we dive deep into each player’s performance across various categories, clean and organize the data, and create visually insightful dashboards for better analysis. This project was a collaborative effort between David and Prince, who worked together to bring out key insights from the 2024 IPL data.

Project Workflow :-

  1. Data Collection: We scraped player data from Cricinfo to collect performance metrics, including batting averages, bowling statistics, fielding records, and more.
  2. Data Cleaning and Preprocessing: Using Python libraries such as pandas and numpy, we cleaned and transformed the raw data, making it ready for analysis.
  3. Data Categorization: We organized the data into categories for easy access, with CSV files created for each category (e.g., batting, bowling, all-rounders).
  4. In-Depth Analysis: Python was used to perform initial data analysis and identify key statistics and patterns among the top-performing players.
  5. Data Visualization: A Power BI dashboard was created to provide comprehensive visualizations, allowing users to explore the data interactively.

Key Features :-

  1. Automated Web Scraping: Player statistics were collected directly from the Cricinfo website using web scraping techniques.
  2. Data Cleaning and Categorization: Cleaned and segmented data for streamlined analysis, with category-wise CSV exports.
  3. In-Depth Player Analysis: Detailed insights into player performance using Python-based data analysis.
  4. Interactive Dashboard: A Power BI dashboard offers easy navigation and visualization for deep dives into player statistics.

Technologies Used :-

  1. Python: Data collection, cleaning, analysis
  2. pandas and numpy for data manipulation
  3. BeautifulSoup and requests for web scraping
  4. Power BI: Interactive data visualization
  5. CSV: Data storage in category-wise files for easy access and sharing

Dashboard Insights :-

The Power BI dashboard provides:

  1. Player Statistics: View individual stats for each of the Best 11 players.
  2. Comparative Analysis: Compare players across different metrics such as strike rate, economy rate, and fielding records.
  3. Category Filters: Filter players by categories like batting, bowling, and all-round performance.

Contributors :- David - Data Collection and Dashboard Design, and Report Preparation Prince - Data Cleaning, Analysis, and Report Preparation We Both collaborated closely on every aspect of this project to ensure accuracy and insightful analysis.

Acknowledgments Special thanks to Cricinfo for providing accessible data that made this project possible.

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