{DATA ANALYSIS}, {18/06/2121}

Financial Inclusion remains one of the main obstacles to economic and human development in Africa. For example, across 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.

Traditionally, access to bank accounts has been regarded as an indicator of financial inclusion. Despite the proliferation of mobile money in Africa and the growth of innovative fintech solutions, banks still play a pivotal role in facilitating access to financial services. Access to bank accounts enables households to save and facilitate payments while also helping businesses build up their credit-worthiness and improve their access to other financial services. Therefore, access to bank accounts is an essential contributor to long-term economic growth.

1. Google Colab/Jupyter Notebook.
2. Pandas and Numpy Python libraries for data exploration and manipulation
3. Data cleaning tools
4. Exploratory data analysis techniques.

{There are no known bugs. Improvements are encouraged.}

{* Python Programming,

• Libraries: Numpy, matplotlib, seaborn & Pandas.}

{ To make a contribution to the code or any part of the project, kindly contact me through; [email protected]}

#License {MIT}

Copyright (c) {2021} {Moringa School Data Science Class}