Phonepe Pulse Data Visualization and Exploration project is used to visualize the data through the dashboard through Streamlit and Plotly.
- Git Repository Cloning: Users can clone the Git repository to access the project files and resources.
- Data Filtering: Python scripting is utilized to filter and preprocess the raw transaction data, ensuring its suitability for visualization.
- Database Management: The project facilitates the creation of a database schema and the insertion of transaction data into MySQL tables.
- Geo Visualization: Utilizing Plotly, the project enables geographic visualization of transaction data, allowing users to analyze regional transaction trends.
- Plotly Visualizations: Different types of Plotly visualizations such as scatter plots, line charts, and pie charts are available to showcase transaction patterns and insights.
- Insight Generation: Insights are derived from PhonePe Pulse data, and key findings are presented on the dashboard through Streamlit.
- GitHub Cloning
- Python
- MySQL
- Pandas
- Streamlit
- Plotly
import streamlit as st
from streamlit_option_menu import option_menu
import mysql.connector
import pandas as pd
import requests
import json
import plotly_express as px