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https://github.com/kylemh/fpl_data_visualization
Exploratory report into the Fantasy Premier League's data including REST API usage, web scraping, data visualization, and statistical analysis.
https://github.com/kylemh/fpl_data_visualization
d3js flask jupyter mysql web-app
Last synced: 13 days ago
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Exploratory report into the Fantasy Premier League's data including REST API usage, web scraping, data visualization, and statistical analysis.
- Host: GitHub
- URL: https://github.com/kylemh/fpl_data_visualization
- Owner: kylemh
- License: mit
- Created: 2016-10-30T21:39:16.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2017-04-03T19:06:14.000Z (over 7 years ago)
- Last Synced: 2024-10-05T05:20:58.413Z (about 1 month ago)
- Topics: d3js, flask, jupyter, mysql, web-app
- Language: Jupyter Notebook
- Homepage:
- Size: 1.59 MB
- Stars: 3
- Watchers: 5
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Fantasy Premiere League Data Exploration
[](https://github.com/RichardLitt/standard-readme)
Zoe Olson, Kyle Holmberg, and Ryan Collier set out a goal to learn about data collection, analyzation, and visualization.
We chose the English Premier League as our source of data, with an emphasis on improving [Fantasy Premier League](https://fantasy.premierleague.com) scores.
## Table of Contents
- [Resources Used](#resources-used)
- [Install](#install)
- [Contents](#contents)
- [Contribute](#contribute)
- [License](#license)
## Resources Used
https://www.cs.uoregon.edu/Classes/16F/cis451/final.html
[FPL Bootstrap API Endpoint](https://fantasy.premierleague.com/drf/bootstrap-static)
[FPL Player API Endpoints (1 to a variable number around 656)](https://fantasy.premierleague.com/drf/element-summary/1)
[Similar Project](https://llimllib.github.io/fantasypl/)
[Asynchronous HTTP Requests in Python 3.5+](http://scribu.net/blog/asynchronous-http-requests-in-python-3.5.html)
[Making 1 million requests with python-aiohttp](https://pawelmhm.github.io/asyncio/python/aiohttp/2016/04/22/asyncio-aiohttp.html)
## Install
Please install [Virtual Environments](https://pypi.python.org/pypi/virtualenv).
**Webscraper**
1. Clone repository.
2. Open terminal within repo/webscraper/
3. Create and activate your virtual environment.
4. `$ pip3 install -r requirements.txt`
5. `$ python3 fpl_csv_converter.py`
**Flask App**
1. Install [Homebrew](https://brew.sh/)
2. Open terminal and use `$ brew install mysql`
3. Clone repository.
4. Change directories in terminal to repo/
5. `$ mysql -u -p < create_fpl_models.sql`
6. `$ cd app`
6. (Temporary) Edit line 23 of entry.wsgi.py to local MySQL DB location.
7. Create and activate your virtual environment.
8. `$ pip3 install -r requirements.txt`
9. `$ python3 entry.wsgi.py`
## Contents
**To view our Jupyter Notebook, click [HERE](http://nbviewer.jupyter.org/github/kylemh/FPL_Data_Visualization/blob/master/jupyter_notebook/Jupyter_viz.ipynb)**
```
├── LICENSE
├── README.md
├── app
│ ├── entry.wsgi.py
│ ├── requirements.txt
│ ├── static
│ └── templates
├── create_fpl_model.sql
├── docs
│ ├── CIS407_Retrospective.pdf
│ ├── CIS451_Final_Report.pdf
│ ├── Retrospective.pdf
│ └── create_fpl_model.sql
├── jupyter_notebook
│ ├── Jupyter_viz.ipynb
│ ├── README.md
│ └── jupyter_viz_files
├── mysql_dump.sql
└── webscraper
├── CurrentSeasonStats.csv
├── History.csv
├── Managers.csv
├── Player.csv
├── PlayerResultStats.csv
├── Result.csv
├── Teams.csv
├── TotalPastStats.csv
├── fpl_csv_converter.py
└── requirements.txt
```
## Contribute
#### What's Finished
* Statistical Analysis with Visuals: Jupyter Notebook utilizing pandas and matplotlib
* Data Collection: Python Web Scraper that converts API endpoint JSON into a MySQL Database
* Interactive Data Visualization(s): d3.js, matplotlib, pandas, and Flask
#### What's Left
* Webscraper Refactor
* Flask App Redesign (planned 2017-2018 season release)
* Create an automated Fantasy Manager
## License
[MIT](LICENSE) © Kyle Holmberg