PhonePe Pulse Data Visualization Project

---

PhonePe Pulse Dashboard

Overview

PhonePe, a leading digital payment platform in India, has millions of users engaging in daily transactions. This web app provides an in-depth analysis of PhonePe transactions based on various parameters such as Years, Quarters, States, and Transaction Types. The goal is to offer a comprehensive understanding of transaction trends and user behavior.

Key Features

1. Transaction Overview:

   • Analyze transaction trends over different Years and Quarters.

2. Geographical Insights:

   • Visualize transaction data on a map to understand regional patterns.

3. User Behavior Analysis:

   • Explore user engagement and transaction patterns based on various States.

4. Transaction Types Breakdown:

   • Breakdown of transaction types for a detailed understanding.

Used Technologies

1. Programming Language:

   • Python.

2. Web Framework:

   • Streamlit for creating the interactive web app.

3. Data Analysis and Visualization:

   • Pandas for data manipulation.
   • Plotly for interactive data visualization.

4. Database:

   • MySQL for efficient data storage and retrieval.

5. Version Control:

   • Git for version control.

Functionality

1. Data Loading:

   • Load PhonePe transaction data into the web app for analysis.

2. Geographical Visualization:

   • View transactions geographically to identify regional hotspots.

3. State-Based Analysis:

   • Select a specific State, Years, and Quarters to observe transaction trends.

4. District-wise Analysis:

   • Explore transaction details based on different District.

5. Top Transaction Breakdown:

   • View the distribution of the Top transactions.

---