omoses150/Mobile-Payments-in-Kenya

This project is an analysis of mobile payments in Kenya from inception in 2007 to 2023 giving a clear trend over years. # MOBILE MONEY PAYMENTS IN KENYA Colab ## Table of Contents - Project Overview - Objectives - Data Sources - Tools Used - Data Preprocessing - Exploratory Data Analysis - Conclusion/ Findings - Recommendation - Limitation - References ## Project Overview This project is an analysis of mobile payments in Kenya from inception in 2007 to 2003 giving a clear trend over the years in terms of cash transacted in value and volumes, mobile money accounts registered and active agents recruited. ## Objectives 1. To determine the value of the agent cash in and cash out over the given time period. 2. To identify the total transactions done through the active agents over years. 3. To show whether an increase in registered mobile money accounts influence the transaction volumes and value. 4. To determine whether there is a significant relationship between active agents and transaction value and volumes. ## Data Sources The primary dataset used for this analysis is the 'Mobile Payments.csv', a file containing detailed information about mobile payments in Kenya from 2007 to 2023, providing a rich source for analysis of mobile payments and trends. ### Key Data Features - Year: Annual fiscal year mobile money transactions occur in Kenya. - Month: Monthly data for mobile money transactions. - Total registered mobile money accounts: Number of users who have registered mobile money accounts. - Total agent cash in cash out volume: Quantity of mobile money transactions as per records of mobile money agents. Mobile money agents are small mobile phone stores or retail locations—which allow users to deposit and withdraw in-person. Cash in represent deposits and cash out represent cash withdrawals. - Total cash in cash out value: Monetary value of all mobile money transactions that occurred in Kenya from January 2007 to August 2023. ## Tools Used Python has been used to preprocess the data, analyze and visualize the same. ## Data Preprocessing I performed the following tasks to prepar …