Causal-inference-in-DotA-2-when-estimated-through-randomized-data

TUDELFT-CSE-research-project This project is part of the Research Project provided by TU DELFT in the year of 2022. The project includes 4 scripts which complement each other.

1. Opendota.py
Gathers the data and saves it to file match.csv
2. Main.py
Takes match.csv and calculates the Average causal effect, variances and the uncertainty
3. IndepedenceTest.py
Runs the Chi-square tests on the infromation produced by Main.py and
4. Plotgeneration.py
Creates the plots and writes the causal effects for each hero side by side to file.

Libraries used: Python 3.9, Scipy, Numpy, Pandas, Matplotlib