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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.