This is an interactive web application built using Streamlit and Pandas Profiling that allows users to perform data analysis on large CSV files with just one click.

We've noticed a bit of traffic already on our repo this project is still new, please star / fork this repo or check out our #readme file to keep up with changes. Thank you.

This project facilitates users to retrieve PhonePe transaction and user data, store it in a MySQL database. Subsequently, the stored data is visualized in a Streamlit web application using Plotly and Pandas DataFrame.

Developed a Streamlit application for analyzing transactions and user data from the Pulse dataset. Explored data insights on states, years, quarters, districts, transaction types, and brands through EDA. Visualized trends and patterns using plots and charts to optimize decision-making in the Fintech industry.