Ciiku-Kihara/EAST-AFRICA-FINANCIAL-INCLUSION-PROJECT

This project was aimed at explaining the main factors that determine whether or not an individual in Kenya, Tanzania, Rwanda and Uganda own a bank account and to what degree. # EAST-AFRICA-FINANCIAL-INCLUSION-PROJECT This project was aimed at explaining the main factors that determine whether or not an individual in Kenya, Tanzania, Rwanda and Uganda own a bank account and to what degree. ## Names of Contributors Faith Kihara ## Description This repository contains a Google Collaboratory notebook that contains Python code that I used to analyze a financial dataset that contains demographic and financial information on Kenya, Rwanda, Tanzania and Uganda from 2016 to 2018. I used the Exploratory Data Analysis Approach to conduct univariate, bivariate and multivariate analysis. I was expected to implement the solution by performing the respective analysis i.e. factor analysis, principal component analysis, and discriminant analysis. ## Setup Instructions To make changes to my code, you can go ahead and fork my work. You can get the data and the dataset description for this project here bit.ly and here respectively bit.ly More information on the surveys can be found here: - FinAccess Kenya 2018. fsdkenya.org - Finscope Rwanda 2016. statistics.gov.rw - Finscope Tanzania 2017. fsdt.or.tz - Finscope Uganda 2018. fsduganda.or.ug ## Technologies Used I used Python to clean and analyze the data. I particularly used the Pandas and scikit-learn libraries. ## Support and contact details If you run into any issues or have questions, ideas or concerns please do make a contribution to the code or message me via LinkedIn. linkedin.com ### License This project is licenced under the MIT License - see the LICENSE file for details