CynthiaKahindi/East-Africa-Financial-Inclusion

# East-Africa-Financial-Inclusion # Introduction This project seeks to figure out how bank users can be predicted across East Africa.It involves an analysis of groups in East Africa who are likely to own bank accounts all this is in order to promote financial inclusion in the region. # Description In Kenya, Rwanda, Tanzania, and Uganda only 9.1 million adults (or 13.9% of the adult population) have access to or use a commercial bank account.In the past, access to bank accounts has been regarded as an indicator of financial inclusion.Banks are still pivota in facilitating access to financial services despite the introduction of mobile money. Access to bank accounts enables households to make transactions while also helping entities access services. # Motivation This project was done as part of an assessment for a data science course # Summary of analysis 1.Defining the question 2.Reading the Data 3.Checking the Data 4.Performing Univariate,Bivariate and Multivariate Analysis 5.Creating visualizations 6.Challenging the solution 7.Conclusion and Recommendations # Tools Required Python libraries are required for example Seaborn,numpy ,Pandas are required # Setup The most efficient way of uploading and running the code is using google colab or jupyter notebook.Importing libraries from pandas is also a priority. # Authors Cynthia Kahindi