Project information

• Project Date: June 2024
• Tech Stack: Python, Pandas, PyGWalker, SciPy, Streamlit
• Project Repository: [Click here]
• Demo Link: [Click here]

A web-based interactive data analysis application supporting .csv and .xlsx files with the following core features: (1) Dataset profiling with filtering options prior to displays of summary statistics, distributions per column, and relationships between columns; (2) Tableau-like visual exploration interface; (3) Statistical experimentation and hypothesis testing.