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Capstone_SecondProject

Phonepe Pulse Data Visualization and Exploration

Phonepe Pulse Data Visualization and Exploration project is used to visualize the data through the dashboard through Streamlit and Plotly.

Features:

  • 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.

Technologies Used:

  • GitHub Cloning
  • Python
  • MySQL
  • Pandas
  • Streamlit
  • Plotly

๐Ÿ’ป Import Packages

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

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