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PhonePe Pulse, bring data to life, enabling you to understand trends, patterns, and key metrics like never before. Here are the key technologies behind our data visualization solution

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PhonePe Pulse Data Visualization 2018-2022

This project is a data visualization tool for PhonePe's pulse data from 2018 to 2022. It allows users to explore and analyze various metrics related to PhonePe's business performance.

Creating home page for better understanding to visualize the data

Screenshot 2023-05-09 233352

Transaction Analysis

Screenshot 2023-05-10 004541

User Analysis

Screenshot 2023-05-09 233538

Installation and cloning

Clone the repository to your local machine using git clone https://github.com/PhonePe/pulse.git Install the required Python packages by running pip install -r requirements.txt

MySQL Database

After cloning the data will be uploaded to database through pymysql and create engine in Sqlalchemy for database connection.

Usage

Run python phonepe.py to start the application. Access the application in your web browser by navigating to http://localhost:8501 Select the desired date range and metrics to visualize. Explore the data using the interactive charts provided by Plotly Express.

Technology Stack

Github: For cloning the PhonePe Pulse data.

Python: For scripting and data processing.

MySQL: For storing and retrieving data.

Streamlit: For building the user interface and deploying the application.

Plotly Express: For data visualization.

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PhonePe Pulse, bring data to life, enabling you to understand trends, patterns, and key metrics like never before. Here are the key technologies behind our data visualization solution

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