PhonePe has become one of the most popular digital payment platforms in India, with millions of users relying on it for their day-to-day transactions. The app is known for its simplicity, user-friendly interface, and fast and secure payment processing. It has also won several awards and accolades for its innovative features and contributions to the digital payments industry. We create a web app to analyse the Phonepe transaction and users depending on various Years, Quarters, States, and Types of transaction and give a Geographical and Geo visualization output based on given requirements.
virtual code. Jupyter notebook. Python 3.11.0 or higher.
2.Requirement Libraries to Install pip install pandas numpy os json requests subprocess mysql.connector sqlalchemy pymysql streamlit plotly.express
clone libraries import requests import subprocess pandas, numpy and file handling libraries import pandas as pd import numpy as np import os import json SQL libraries import mysql.connector import sqlalchemy from sqlalchemy import create_engine import pymysql Dash board libraries import streamlit as st import plotly.express as px
a) Extract data Initially, we Clone the data from the Phonepe GitHub repository by using Python libraries.
https://github.com/PhonePe/pulse.git
b) Process and Transform the data Process the clone data by using Python algorithms and transform the processed data into DataFrame formate.
c) Load data Finally, create a connection to the MySQL server and create a Database and stored the Transformed data in the MySQL server by using the given method. df.to_sql('table_name', connection, if_exists = 'replace', index = False, dtype={'Col_name':sqlalchemy.types.datatype()})
a) Access MySQL DB Create a connection to the MySQL server and access the specified MySQL DataBase by using pymysql library
b) Filter the data Filter and process the collected data depending on the given requirements by using SQL queries
c) Visualization Finally, create a Dashboard by using Streamlit and applying selection and dropdown options on the Dashboard and show the output are Geo visualization, bar chart, and Dataframe Table
Step 1. Select any one option fron All India or State wise or Top Ten categories.
Step 2. Select any one option fron Transaction or User.
Step 3. Select any Year, Quarter and additional required option.
Step 4. Finally, You get the Geo Visualization Analysis or Bar chart Analysis and Table format Analysis