Abstract
This project aims to employ data exploration, data analysis, visualization tools, and modelling to conduct a comprehensive research study concerning the desirability and impact of residing in economically liberalized nations, strongly focusing on their influence on human development. By leveraging advanced exploratory data analysis techniques such as principal component analysis (PCA) and modelling techniques such as multiple linear regression and random forest, this study aims to offer a nuanced and comprehensive understanding of how economic freedom correlates with and impacts various facets of human development, offering valuable policy suggestions for nations pursuing economic freedom as a development strategy. To ensure a systematic and rigorous approach to data analysis, this project will rigorously adhere to the CRISP-DM (Cross-Industry Standard Process for Data Mining) methodology encompassing several phases, each contributing to the robustness and reliability of the project. Following the CRISP-DM framework will facilitate a systematic journey throughout the research process, enabling a comprehensive understanding of the problem, effective data gathering and preparation, meticulous model selection and evaluation, and, ultimately, the deployment of insights for informed decision-making
Library of Congress Subject Headings
Right of property--Government policy; Right of property--Developing countries; Quality of life--Developing countries; Law and economic development; Principal components analysis
Publication Date
5-2024
Document Type
Thesis
Student Type
Graduate
Degree Name
Professional Studies (MS)
Department, Program, or Center
Graduate Programs & Research
Advisor
Sanjay Modak
Advisor/Committee Member
Ioannis Karamitsos
Recommended Citation
AlMarri, Alia Omar Bin Touq, "Prosperity and Quality of Life: A Comprehensive Analysis of Economically Liberated Nations" (2024). Thesis. Rochester Institute of Technology. Accessed from
https://repository.rit.edu/theses/11774
Campus
RIT Dubai
Plan Codes
PROFST-MS