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.
Highlights
A lack of socioeconomic resources can be linked to riskier health behaviors, which can lead to the contraction of human immunodeficiency virus (HIV) and acquired immunodeficiency syndrome
The datasets for gross domestic product (GDP) were retrieved from the World Bank [9], the datasets for HIV and AIDs were retrieved from Our World in Data [10], and the datasets for the population of the world by country was retrieved from World Population Review [11]
The HIV/AIDS datasets include deaths from HIV/AIDS, new infection of HIV/AIDS, and number of people living with HIV
Summary
A lack of socioeconomic resources can be linked to riskier health behaviors, which can lead to the contraction of human immunodeficiency virus (HIV) and acquired immunodeficiency syndrome (aids). These behaviors include substance use, which can reduce the likelihood of using condoms. Within the same neighborhood in those cities, the people below the poverty line have a two times higher chance of being infected than people with incomes above the poverty line This is not new information, since most health officials have long believed that poverty is a key driver of HIV. There were not many large projects to support this belief with factual data
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