This Python project performs Exploratory Data Analysis (EDA) on IPL datasets from 2008–2025 to analyze team performance, win percentages, toss impact, venue analysis, top batsmen, and strike rates.
The project focuses on generating meaningful insights using Python data analysis and visualization libraries.
- Team performance analysis
- Match win percentage insights
- Toss impact analysis
- Venue-wise performance analysis
- Top batsmen and player statistics
- Strike rate and scoring analysis
- Data cleaning and preprocessing
- Visualization and reporting
- Python
- Pandas
- NumPy
- Matplotlib
- Jupyter Notebook
- Data Cleaning
- Missing Value Handling
- Exploratory Data Analysis (EDA)
- Statistical Analysis
- Data Visualization
- Insight Generation
- Identified top-performing IPL teams
- Analyzed toss decisions and match outcomes
- Compared player strike rates and consistency
- Generated venue-based match insights
- Python source code / notebook
- Dataset files
- Analysis screenshots
- README documentation
(Add uploaded screenshots here)
AMALTH VH
Data Analyst | Python | SQL | Power BI | Tableau