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Visualization of Health Data

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Multidisciplinary Social Networks Research (MISNC 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1131))

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Abstract

As data becomes more accessible, visualization methods are needed to help make sense of the information. Analyzing and visualizing data helps the public to better recognize the patterns and connections between different datasets. By using visual elements such as graphs, charts, and maps, it is easier to see and understand the trends and outliers in data. This project aims to study the correlation between environmental factors and public health. Large sets of data pertaining to the environment and health were gathered from open data sources. The tool used to analyze and visualize the collected data is Tableau, which is a software program that is used to transform data into dashboards and visuals such as treemaps, histograms, or area charts. For this project, the data will be displayed through charts and interactive maps that will be created through this software.

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Correspondence to Ching-yu Huang .

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Alvarez, V.C., Huang, Cy. (2019). Visualization of Health Data. In: Lin, JW., Ting, IH., Tang, T., Wang, K. (eds) Multidisciplinary Social Networks Research. MISNC 2019. Communications in Computer and Information Science, vol 1131. Springer, Singapore. https://doi.org/10.1007/978-981-15-1758-7_10

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  • DOI: https://doi.org/10.1007/978-981-15-1758-7_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-1757-0

  • Online ISBN: 978-981-15-1758-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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