Abstract: The study offers a thorough examination of the accumulation and distribution of wealth among billionaires through the application of big data analytics methodologies. This research centres on an extensive dataset known as "Billionaires.csv," [19] which encompasses a range of information about billionaires from diverse nations, including their demographic characteristics, company particulars, sources of wealth, and more details. The study aims to get a deeper understanding of the determinants that change the net worth of billionaires and detect trends in the worldwide financial system that can guide entrepreneurial ventures and investment possibilities. The dataset is subjected to analysis and visualisation through the utilisation of Python tools and libraries, including but not limited to Pandas, NumPy, Matplotlib, and Seaborn. The results of this study offer valuable insights into the distribution of wealth among billionaires, the factors that contribute to industry success, gender disparities, age demographics, and other factors that influence the accumulation of billionaire wealth.

Karim Mohammed Rezaul, Mifta Uddin Khan, Nnamdi Williams David, Kazy Noor e Alam Siddiquee, Tajnuva Jannat and Md Shabiul Islam, “Exploring Wealth Dynamics: A Comprehensive Big Data Analysis of Wealth Accumulation Patterns” International Journal of Advanced Computer Science and Applications(IJACSA), 15(12), 2024. http://dx.doi.org/10.14569/IJACSA.2024.0151206

@article{Rezaul2024,
title = {Exploring Wealth Dynamics: A Comprehensive Big Data Analysis of Wealth Accumulation Patterns},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0151206},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0151206},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {12},
author = {Karim Mohammed Rezaul and Mifta Uddin Khan and Nnamdi Williams David and Kazy Noor e Alam Siddiquee and Tajnuva Jannat and Md Shabiul Islam}
}