Overview description of the Gambian GABECE Educational Data and associated algorithms and unsupervized learning process

TL;DR

This paper introduces an exploratory analysis of Gambian GABECE educational data using unsupervised learning techniques to uncover insights and generate hypotheses for future research.

Contribution

It presents the first comprehensive unsupervised learning approach applied to GABECE data, setting the stage for subsequent detailed analyses.

Findings

Initial descriptive insights into GABECE data

Identification of potential patterns and clusters

Foundation for future hypothesis-driven research

Abstract

As the first paper of a series of exploratory analysis and statistical investigation works on the Gambian \textit{GABECE} data based on a variety of statistical tools, we wish to begin with a thorough unsupervised learning process through descriptive and exploratory methods. This will lead to a variety of discoveries and hypotheses that will direct future research works related to this data.