An open API service indexing awesome lists of open source software.

https://github.com/305kishan/fifa

Web Application for Teams (Clubs & Countries) Analysis in FIFA Video Games (2015 - 2022).
https://github.com/305kishan/fifa

eda fifa python video-game

Last synced: 3 months ago
JSON representation

Web Application for Teams (Clubs & Countries) Analysis in FIFA Video Games (2015 - 2022).

Awesome Lists containing this project

README

        

# FIFA Analysis

Web Application for Teams (Clubs & Countries) Analysis in FIFA Video Games (2015 - 2022).

Application hosted on Heroku Cloud.
---
[![forthebadge](https://forthebadge.com/images/badges/made-with-crayons.svg)](https://www.linkedin.com/in/305kishan/)
---
# [![Website shields.io](https://img.shields.io/website-up-down-green-red/http/shields.io.svg)](https://fifa-analysis.herokuapp.com/)

# Application Link  -  [FIFA 20 Analysis](https://fifa-analysis.herokuapp.com/)

## Table of Content



  1. Overview

  2. Installation

  3. Run Locally

  4. Heroku Deployement

  5. To Do




## Overview
This Python Application Displays various statistics of Club or Country with the Help of Textual and Graphical Data.

## Installation
This code can run on any PYTHON 3 version. If you want to run this on your local machine but don't have Python, please install Python 3 first. To install required packages and library, run this command in project directory after cloning the the repository.

```pip install -r requirements.txt```

## Run
On your local machine, run [FIFA.py](https://github.com/305kishan/FIFA/blob/main/FIFA.py) in your command prompt and then use the the IP address to access the Url.
```streamlit run FIFA.py```

## Heroku Deployement
Create a new app in [Heroku](https://www.heroku.com/) and link the [Github Repository](https://github.com/305kishan/FIFA).

## To Do

  • To Add Players Database.
  • Compare Teams and Players.