Abstract—As data becomes more accessible, visualization methods are needed to help make it easier to understand the information. Analyzing and visualizing data makes it easier to understand a dataset without having to read through it, and elucidate connections between two or more different datasets. Tableau is one of the most popular interactive data visualization software. By using Tableau, it is easy to find correlations between datasets, reorganize datasets through pivoting or joining them, and create visualizations such as geo map charts, geo bubble charts, table charts, line charts, pie charts, and treemap charts. This project aims to show the correlation between a country’s gross domestic product (GDP) and human immunodeficiency virus (HIV) through Tableau. Large data sets related to the GDP and HIV were gathered from open data sources. The data will be cleaned through Tableau and Excel, and correlations between datasets will be shown through variable charts with Tableau.
Index Terms—GDP, HIV, Tableau, dataset, visualization, correlation.
The authors are with the School of Computer Science & Technology, Kean University, Union, NJ 07083, USA (e-mail: kimeunb@kean.edu, chuang@kean.edu)
Cite: Eunbi Kim and Ching-Yu Huang, "Visual Analytics in Effects of Gross Domestic Product to Human Immunodeficiency Virus Using Tableau," International Journal of Machine Learning and Computing vol. 11, no. 3, pp. 219-223, 2021.
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