RaceApp

Flask App for the Big Data Coding Competition (it-talents)

Data Visualisation with DC,D3 and Crossfilter
Python 2.7 is used
Used packages can be found in requirements.txt
Predictive Model is built and tuned in advance with sklearn. Random Forest is compared with logistic Regression. Logistic Regression is chosen in final. Predictive Model is dumped in a file and loaded each time when it is used.
Analogous to a Data Warehouse with OLAP functionalities, sql queries are saved as new tables to reduce calculation time --> Break of ACID philosopy

Principal information

There are two possible Login Roles.
- Admin-Role:
  - Login: [email protected]
  - Password: admin2016
- User-Role:
  - Login: [email protected]
  - Password: 123456

Installation

Be sure to have mysql installed
Use following codes in Bash/Terminal

git clone

mysql < schema.sql

pip install -r requirements.txt

export FLASK_CONFIG=development

export FLASK_APP=run.py

flask run

Further improvements

Use Docker (Docker-Compose) for easier installation and use
Create single executable
Adding races
- Therefor building stored procedures in mysql for the calculated tables