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

1. Be sure to have mysql installed

2. 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