This is a project built as a study for Saarland University's program “Data and Society”. We argue that digital media piracy is a predictable market correction. We hypothesize piracy emerges when market failures, specifically price disparity, fragmentation, and poor preservation fail consumers.

🐍 Dependencies

Pandas: You know what pandas is for

pip install pandas

Numpy: math and whatnot

pip install numpy

MatplotLib: graphs and whatnot

pip install matplotlib

Seaborn: Used to create and vizualize graphical data

pip install seaborn

Pytrends: Unofficial API to query google trends

pip install pytrends

SciPy: Fundamental algorithms for scientific computing in Python

pip install scipy

StatsModels: Statistical computations and models for Python

pip install statsmodels

📂 Structure

The repo contains 3 main folders each necessary to be able to reproduce the study locally please keep the names of the folders unchanged.

• Data-sets: contains all the extracted datasets for the study

• Scripts: contains the necessary python files to be able to generate some of the data required for the final analysis

• Results: contains the result generated during our self-analysis (Final report based on these results)

💻 Setup

Follow these steps to setup and run the tests on your local device.

1. Read this file ( Du bist Smart :O )

2. download the latest release of python and jupyter notebook from thier official pages (links above)

3. download the latest release this should give you all the necessary files

4. Install all the dependencies mentioned above using the pip command

5. Proceed to "Scripts" folder (This will be your root folder to run some of the data gen)

6. Follow the instructions in "scripts-readme.txt" to run the data generation process

P.S if you just want to see the final results and project analysis instead run the "project_report.ipynb" file