This python project generates and visualizes synthetic datasets of citizens based on actions obtained from the Chinese Credit System and their likelihood (based on German statistics).
This tool is developed under the supervision of Uni Bremen as part of the "IT-Management and Data Science" course. The tool is designed to generate and visualize synthetic datasets for the Chinese Credit System as implemented in Rongcheng city. The tool uses the criteria and subcategories in the Chinese credit system to create simulated data, which can be used for research, testing, or training machine learning algorithms. The datasets generated by this tool are based on the implementation of the Chinese credit system in Rongcheng city and reflect its unique characteristics.
