Football-Death-Analysis

Analyzing football player death data using Python, Pandas and NumPy! Some of the results can be SHOCKING!

Table of Contents

• Intruduction
• Features
• Project Structure
• Requirements
• Usage Guide

Intruduction

Football is the most popular sport in the world, but even football had its dark sides! Sometimes the stress and tension can cause death even during the match.

In this project we take a look at football's death based on a dataset from Kaggle

Features

• All of the analyis is in notebook
• Clean code

Project Structure

The project follows a specific structure to organize its files and directories:

├── Football Death.ipynb
├── README.md
├── football_deaths.csv

• README.md: Documentation file providing information about the project.
• Football Death.ipynb: Notebook file
• football_deaths.csv: Dataset

Requirements

To run the x86 assembler, you need to have the following installed on your system:

• Python (version 3.0 or higher)
• Jupyter Notebook
• Git command line tool (or Git GUI client) to clone the repository.

Usage Guide

1. Open a terminal and clone this repository: git clone https://github.com/hoseinmrh/Football-Death-Analysis
2. Open inpynb file in Jupyter Notebook.
3. Add dataset in the same directory.
4. Start running the code!