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This code clones PhonePe data from GitHub. After processing the data, it is displayed in an appealing manner to gain insights from PhonePe's information. This can be used to increase productivity, profits, and focus specifically on business development.

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raghavendranhp/Phonepe-Pulse-Data-Visualization-and-Exploration

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Phonepe Pulse Data Visualization and Exploration : Unveiling Insights into Digital Transactions

Phonepe Logo

  • Welcome to the Phonepe Pulse Data Visualization and Exploration project.
  • This project is designed to extract, process, and visualize data from the Phonepe Pulse GitHub repository, providing valuable insights into various metrics and statistics related to the Fintech domain.
  • The result is an interactive and user-friendly dashboard that allows users to explore data and make data-driven decisions.

Data Source

Phonepe Pulse:Data Link

Table of Contents

1.Technologies and Domain
2.Project Overview
3.Key Features
4.Getting Started
5.Data Extraction
6.Data Transformation
7.Database Insertion
8.Dashboard Creation
9.Data Retrieval
10.Deployment
11.Results
12.Business Insights
13.Contributing
14.License
15.Author

Technologies and Domain

  • Data Extraction: Github Cloning
  • Data Processing: Python, Pandas
  • Database: MySQL, mysql-connector-python
  • Dashboard: Streamlit, Plotly
  • Domain: Fintech

Project Overview

  • The Phonepe Pulse Data Visualization and Exploration project aims to extract data from the Phonepe Pulse GitHub repository, transform and process this data, insert it into a MySQL database, and create a live geo visualization dashboard using Streamlit and Plotly.
  • Users can access this dashboard to interact with the data, gaining insights and valuable information about the Fintech domain.

Key Features

  • Extraction of data from the Phonepe Pulse GitHub repository.
  • Data transformation, cleaning, and pre-processing using Python and Pandas.
  • Efficient storage and retrieval of data in a MySQL database.
  • Creation of an interactive and visually appealing dashboard using Streamlit and Plotly.
  • Dynamic data updates on the dashboard based on user selections.
  • Multiple dropdown options for users to choose different facts and figures to display.
  • Secure, efficient, and user-friendly solution.

Getting Started

Clone the Repository: Start by cloning this repository to your local machine. git clone https://github.com/raghavendranhp/Phonepe-Pulse-Data-Visualization-and-Exploration.git Install Dependencies: Install the required Python libraries and packages. Set Up MySQL: Configure and set up a MySQL database with the necessary tables. Run the Dashboard: Execute the Streamlit app to launch the Phonepe Pulse dashboard. Explore the Dashboard: Access the dashboard via a web browser and start exploring the data.

Data Extraction

  • Data is extracted from the Phonepe Pulse GitHub repository using scripting and is stored in a suitable format such as CSV or JSON.

Data Transformation

  • Python, along with libraries such as Pandas, is used to manipulate and pre-process the data.
  • This includes cleaning the data, handling missing values, and transforming it into a format suitable for analysis and visualization.

Database Insertion

  • The "mysql-connector-python" library in Python is used to connect to a MySQL database and insert the transformed data using SQL commands.

Dashboard Creation

  • Streamlit and Plotly libraries are used to create an interactive and visually appealing dashboard.
  • Plotly's built-in geo map functions are used to display the data on a map, while Streamlit provides a user-friendly interface with multiple dropdown options for users to select different facts and figures to display.

Data Retrieval

  • The "mysql-connector-python" library is used to connect to the MySQL database and fetch the data into a Pandas dataframe.
  • The data in the dataframe is used to update the dashboard dynamically.

Deployment

  • The solution is secure, efficient, and user-friendly. It has been thoroughly tested and deployed publicly, making it accessible to users.

Results

  • The result of this project is a live geo visualization dashboard that displays information and insights from the Phonepe Pulse GitHub repository in an interactive and visually appealing manner.
  • The dashboard provides at least 10 different dropdown options for users to select various facts and figures for display.
  • The data is efficiently stored in a MySQL database and is dynamically updated to reflect the latest data.
  • Users can access the dashboard from a web browser and easily navigate the different visualizations and facts and figures displayed.
  • The dashboard provides valuable insights and information about the data in the Phonepe Pulse GitHub repository, making it a valuable tool for data analysis and decision-making.

Business Insights

some potential business insights and values that can be derived from the Phonepe Pulse Data Visualization and Exploration project:

Performance Monitoring:

  • The dashboard allows you to track the performance of PhonePe over different quarters and in various states.
  • This information can be invaluable for assessing how well the company is doing in different regions and periods.

User Engagement:

  • By visualizing metrics such as the total number of registered users and app opens, the project provides insights into user engagement.
  • Understanding which states have the highest user activity can help in targeted marketing and user acquisition efforts.

Transaction Trends:

  • Analyzing transaction amounts and counts over time and across states can reveal trends in user behavior.
  • Identifying peak transaction periods and regions can assist in resource allocation and decision-making.

State-Specific Insights:

  • Users can gain insights into individual states' performance. For instance, which states have the highest transaction amounts or user registrations?
  • This knowledge can inform market expansion and optimization strategies.

Relationship Between Metrics:

  • The project allows users to explore the relationship between transaction amounts, registered users, and transaction counts.
  • This information is crucial for understanding how these metrics interrelate and influence each other.

Transaction Types:

  • By categorizing transactions, the project provides insights into which transaction types are most prevalent.
  • This information can be used to focus on specific transaction categories and enhance offerings.

District and Pincode Insights:

  • Identifying the top districts and pincodes with the highest transaction amounts can inform localized marketing and partnership strategies.

State Rankings:

  • The dashboard provides rankings of states based on various metrics.
  • This insight is valuable for benchmarking and competitive analysis.

Top and Bottom Performers:

  • Users can quickly identify states with the highest and lowest transaction amounts and user activities.
  • This data is useful for identifying areas that require attention or have the potential for growth.

User and Transaction Averages:

  • The project displays insights into average user transaction counts.
  • Understanding these averages can be essential for tailoring services to user preferences.

Real-Time Data:

  • By keeping the dashboard up-to-date with the latest data from the GitHub repository, users can make informed decisions based on the most recent information available.

These business insights and values can empower PhonePe and other stakeholders to make data-driven decisions, allocate resources effectively, and optimize their services for users. The visualizations and interactive features provided by the dashboard enhance the accessibility of this critical information, making it a valuable tool in the Fintech domain.

Contributing

Contributions are welcome! If you'd like to contribute to this project, please follow our Contributing Guidelines.

License

This project is licensed under the MIT License.

Author

Raghavendran S,
Aspiring Data Scientist,
Linkedin:View Profile,
raghavendranhp@gmail.com,
Happy Analyzing!

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This code clones PhonePe data from GitHub. After processing the data, it is displayed in an appealing manner to gain insights from PhonePe's information. This can be used to increase productivity, profits, and focus specifically on business development.

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