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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.

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PhonePe Pulse Data Visualization and Exploration

Introduction

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

Table of Contents

  1. Key Technologies and Skills
  2. Installation
  3. Usage
  4. Features
  5. Contributing
  6. License
  7. Contact

Key Technologies and Skills

  • Python
  • Git
  • Pandas
  • PostgreSQL
  • Streamlit
  • Plotly

Installation

To run this project, you need to install the following packages:

git - https://git-scm.com/downloads

pip install pandas
pip install psycopg2
pip install requests
pip install streamlit
pip install plotly

Usage

To use this project, follow these steps:

  1. Clone the repository: git clone https://github.com/gopiashokan/Phonepe-Pulse-Data-Visualization-and-Exploration.git
  2. Install the required packages: pip install -r requirements.txt
  3. Run the Streamlit app: streamlit run app.py
  4. Access the app in your browser at http://localhost:8501

Features

Data Collection: Clone PhonePe Pulse data from the GitHub repository to your local directory for seamless access. Streamline your data collection process effortlessly. Explore a rich variety of insightful metrics and analytics, empowering you with comprehensive information. Make informed decisions with up-to-date data, ensuring precision in your analyses and strategies.

Data Overview: Immerse yourself in a detailed exploration of the collected data. Gain comprehensive insights with breakdowns by states, years, quarters, transaction types, and user devices. This thorough analysis empowers you to make informed decisions based on a nuanced understanding of the dataset. Uncover trends, patterns, and correlations that drive strategic planning. Elevate your data-driven approach with a wealth of information at your fingertips.

Migrating Data to SQL Database: Simplify your workflow by seamlessly converting PhonePe Pulse data from JSON to a structured DataFrame. Effortlessly store the organized data in a PostgreSQL Database, ensuring optimal accessibility and efficiency. This streamlined process facilitates easier querying and analysis. Take advantage of a robust foundation for your data-driven applications and insights.

Interactive Streamlit Interface: Unleash the power of data exploration through our Streamlit app. The intuitive interface facilitates seamless interaction with dynamic charts, allowing users to customize visualizations and apply filters. Effortlessly zoom in or out to delve into specific nuances of your analysis. Empower your data-driven decisions with a user-friendly and adaptable platform.

Dynamic Visualizations with Plotly: Unlock the potential of Plotly to generate an array of charts, from dynamic line charts to insightful bar charts, scatter plots, and pie charts. Dive into your data with these visualizations, gaining a deeper understanding and effortlessly identifying patterns, trends, and correlations. Plotly's robust features empower users to create compelling visuals that enhance data exploration and analysis.

Data Insights and Exploration: Embark on a dynamic analytical journey with our interactive Plotly charts and maps. Delve into nuanced insights across states, years, quarters, districts, transaction types, and user brands. Navigate seamlessly through a wealth of information, gaining a comprehensive understanding of your data landscape. Uncover patterns and trends that empower informed decision-making, making your exploration both insightful and user-friendly.

Live Geo Visualization Dashboard: Elevate your data exploration with a dynamic geo-visualization dashboard crafted using Streamlit and Plotly. Interact seamlessly with live maps, gaining real-time insights and unlocking the full potential of your geographical data. Effortlessly navigate through the interactive features to enhance your understanding and make informed decisions based on the latest information.

Top Performers Highlight: Effortlessly discern the top 10 states, districts, and pincodes through user-friendly visualizations. Engage with ease using our intuitive Streamlit dashboard, designed for seamless exploration. Navigate through insightful charts and graphs to glean actionable insights, empowering you to make informed decisions. Simplify your data-driven strategy by focusing on key performance indicators, ensuring a comprehensive understanding of top performers.

Data-Driven Decision Making: Elevate your decision-making prowess by leveraging insights from PhonePe Pulse data uncover valuable trends, patterns, and statistics. Navigate confidently through a sea of information, ensuring each decision is fortified with robust, data-driven analysis. Empower your strategies with actionable intelligence, transforming raw data into a powerful tool for informed and impactful choices. Make every decision count with the precision and confidence derived from a data-rich foundation.

Project Demo Video: PhonePe Pulse Data Visualization and Exploration

Contributing

Contributions to this project are welcome! If you encounter any issues or have suggestions for improvements, please feel free to submit a pull request.

License

This project is licensed under the MIT License. Please review the LICENSE file for more details.

Contact

📧 Email: gopiashokankiot@gmail.com

🌐 LinkedIn: linkedin.com/in/gopiashokan

For any further questions or inquiries, feel free to reach out. We are happy to assist you with any queries.

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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.

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