Welcome to the IPL Data Analysis 2024 repository! This project provides a detailed analysis of the Indian Premier League (IPL) auction data for the 2024 season. The analysis includes insights into about - Importing essential Pyhton Libraries, loading our Data and data glance. Numerical Analysis and Visualisation, converting Datatype of specifc column and Ploting on the Data worked.
The IPL Auction Data Analysis 2024 project aims to provide actionable insights from the auction data of the 2024 IPL season. By analyzing simple numerical analysis and visualization.
To get started with the IPL Auction Data Analysis 2024, follow these steps:
Ensure you have the following installed:
- Python 3.8 or later
- pip (Python package installer)
-
Clone the repository:
git clone https://github.com/sai-sp/IPL-2024-Data-Analysis-using-Pandas-and-Matplotlib.git cd IPL 2024 Data Analysis using Pandas and Matplotlib
To run the analysis, follow these steps:
Ensure that you have activated the virtual environment.
Run the main analysis script:
IPL 2024 Data Analysis using Pandas and Matplotlib.ipynb
The dataset used in this analysis includes:
IPL_players.css
TOP_BUYS.csv
UNSOLD_PLAYERS.csv
These three csv files are compressed and available as a Datasets.zip file
The analysis includes:
Exploratory Data Analysis (EDA): Initial investigation to understand data distributions and patterns. IPL_Players Analysis: Evaluation of players used in the team. Top_BUYS: Analysed and visualized top buys of a team.
Results are visualized in the Notebook file using Matplotlib
We welcome contributions to this project! If you have suggestions, improvements, or bug fixes, please follow these steps:
Fork the repository and create a new branch. Make your changes and ensure that they work correctly. Submit a pull request with a clear description of the changes.