Premier-League-Analysis

This repository contains Jupyter notebooks that analyze the performance of Premier League teams during the 2021-2022 season. The analysis is done using data from FBref .

Notebooks

There are three Jupyter notebooks in this repository:

• 00-data-exploration.ipynb: This notebook contains code for explore the data.

• 01-data-preprocessing.ipynb: This notebook contains code for preparing the data for analysis.

• 03-Descriptive Analytics.ipynb: This notebook contains code for analyzing the data and generating visualizations to help understand the performance of Premier League teams during the 2021-2022 season.

Data

The data used in this analysis is sourced from FBref . The data is provided in CSV format and is included in the data folder of this repository.

I scraped this data , If you want to see how I did it you can visit my web scraping repo https://github.com/KarimAhmed-dotcom/Web-Scraping/tree/main/premier%20league%20scraping

Requirements

you can see requirements.txt

Dependencies

The notebooks in this repository have the following dependencies:

• pandas
• numpy
• matplotlib
• seaborn
• plotly

Usage

To use the notebooks in this repository, follow these steps:

1. Clone the repository to your local machine.

2. Install the required dependencies using pip or conda.

3. Run the notebooks in the order specified above, making sure to execute each cell in the notebooks in sequence.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Contact

For any questions or comments about this repository, please contact Karim Ahmed at [email protected].