PrecyMaeMwanyungu/Bank-account-usage-in-Kenya-Rwanda-Tanzania-and-Uganda-in-relation-to-related-demographic-factors

# Author: github.com # Bank-account-usage-in-Kenya-Rwanda-Tanzania-and-Uganda-in-relation-to-related-demographic-factors This is the data repository for a project by a student of Moringa school to figure out how to predict which individuals are most likely to have or use a bank account. Your solution will help provide an indication of the state of financial inclusion in Kenya, Rwanda, Tanzania, and Uganda, while providing insights into some of the key demographic factors that might drive individuals’ financial outcomes. # Data Sources: Variable Definitions: bit.ly Dataset: bit.ly # External Source Validation Our measurements are in line with what has been recorded. We got our external source validation and confirmed our dataset from; The 2019 FinAccess household survey by the CBK and KNBS fsdkenya.org The FinScope Rwanda survey 2016 statistics.gov.rw Finscope Tanzania 2017 fsdt.or.tz Finscope Uganda 2018 fsduganda.or.ug # Setup/Installation Requirements: Google Colaboratory or Jupyter notebook, use python programming, matplotlib, seaborn # Technologies Used: Python, google colaboratory # Contact: Email: mwnayunguprecy@gmail.com # License Bank-account-usage-in-Kenya-Rwanda-Tanzania-and-Uganda-in-relation-to-related-demographic-factors License Copyright (c) 2018 moringa school Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this per …