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Team-3-Valencia-Hult-Analytics/ES_Africa_T3

Domain:

socioeconomic

Record type:

project
Creator:
Tea
Host:
Conducting an analysis for East and South Africa utilizing data from the World Bank. # Data Science: Python ## East & South Africa Analysis The following repo is based on the final project for the course "Data Science: Python" thaught at Hult International Business School, San Francisco by professor Chase Kusterer. The goal of this project is to conduct an analysis for East and South Africa utilizing data from the World Bank, collect data from other fundamental sources, and lead an indeed analysis of the situation, based on specific metrics through the use of visual and statistical tools. The corresponding tasks are divided into the following notebooks: * Slicing Data * Cleaning Data * Selecting Fundamental Variables # Authors Jorge Betancourt, Yi Yuan, Oliver Baseley, Omosalewa Oyagbola, German Perdomo, Neil Parekh

Visit

github.com

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