The Phonepe pulse Github repository contains a large amount of data related to various metrics and statistics. The goal is to extract this data and process it to obtain insights and information that can be visualized in a user-friendly manner.
- Data extraction: Clone the Github using scripting to fetch the data from the Phonepe pulse Github repository and store it in a suitable format such as CSV or JSON.
- Data transformation: Use a scripting language such as Python, along with libraries such as Pandas, to manipulate and pre-process the data. This may include cleaning the data, handling missing values, and transforming the data into a format suitable for analysis and visualization.
- Database insertion: Use the "mysql-connector-python" library in Python to connect to a MySQL database and insert the transformed data using SQL commands.
- Dashboard creation: Use the Streamlit and Plotly libraries in Python to create an interactive and visually appealing dashboard. Plotly's built-in geo map functions can be used to display the data on a map and Streamlit can be used to create a user-friendly interface with multiple dropdown options for users to select different facts and figures to display.
- Data retrieval: Use the "mysql-connector-python" library to connect to the MySQL database and fetch the data into a Pandas dataframe. Use the data in the dataframe to update the dashboard dynamically.
- Deployment: Ensure the solution is secure, efficient, and user-friendly. Test the solution thoroughly and deploy the dashboard publicly, making it accessible to users.
- Data extraction and processing: Learning how to use Clone Github to extract data from a repository and pre-process the data using Python libraries such as Pandas.
- Database management: Use a relational database such as MySQL to store data and retrieve it efficiently for analysis and visualization.
- Visualization and dashboard creation: To use libraries such as Streamlit and Plotly to create interactive and visually appealing dashboards for data visualization.
- Geo visualization: Create and display data on a map using Plotly's built-in geo map functions.
- Dynamic updating: Create a dashboard that dynamically updates based on the latest data in a database.
- Project development and deployment: Develop a comprehensive and user-friendly solution, from data extraction to dashboard deployment. Also learn how to test and deploy the solution to ensure it is secure, efficient, and user-friendly.