Visualization of Health Data

Veronica Castro Alvarez; Ching yu Huang

doi:10.1007/978-981-15-1758-7_10

Visualization of Health Data

Veronica Castro Alvarez
, Ching yu Huang

Computer Information Systems

Kean

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Multidisciplinary Social Networks Research - 6th International Conference, MISNC 2019, Revised Selected Papers
Editors	Jerry Chun-Wei Lin, I-Hsien Ting, Kai Wang, Tiffany Tang
Publisher	Springer
Pages	118-130
Number of pages	13
ISBN (Print)	9789811517570
DOIs	https://doi.org/10.1007/978-981-15-1758-7_10
State	Published - 2019
Event	6th International Conference on Multidisciplinary Social Networks Research, MISNC 2019 - Wenzhou, China Duration: Aug 26 2019 → Aug 28 2019

Publication series

Name	Communications in Computer and Information Science
Volume	1131 CCIS

Conference

Conference	6th International Conference on Multidisciplinary Social Networks Research, MISNC 2019
Country/Territory	China
City	Wenzhou
Period	8/26/19 → 8/28/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

ASJC Scopus subject areas

General Computer Science
General Mathematics

Keywords

Environment
Health
Tableau
Visualization

Access to Document

10.1007/978-981-15-1758-7_10

Cite this

Alvarez, V. C., & Huang, C. Y. (2019). Visualization of Health Data. In J. C.-W. Lin, I.-H. Ting, K. Wang, & T. Tang (Eds.), Multidisciplinary Social Networks Research - 6th International Conference, MISNC 2019, Revised Selected Papers (pp. 118-130). (Communications in Computer and Information Science; Vol. 1131 CCIS). Springer. https://doi.org/10.1007/978-981-15-1758-7_10

@inproceedings{faaf1719a89a469183c55e47efb23e1d,

title = "Visualization of Health Data",

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.",

keywords = "Environment, Health, Tableau, Visualization",

author = "Alvarez, \{Veronica Castro\} and Huang, \{Ching yu\}",

note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd 2019.; 6th International Conference on Multidisciplinary Social Networks Research, MISNC 2019 ; Conference date: 26-08-2019 Through 28-08-2019",

year = "2019",

doi = "10.1007/978-981-15-1758-7\_10",

language = "English",

isbn = "9789811517570",

series = "Communications in Computer and Information Science",

publisher = "Springer",

pages = "118--130",

editor = "Lin, \{Jerry Chun-Wei\} and I-Hsien Ting and Kai Wang and Tiffany Tang",

booktitle = "Multidisciplinary Social Networks Research - 6th International Conference, MISNC 2019, Revised Selected Papers",

}

Alvarez, VC & Huang, CY 2019, Visualization of Health Data. in JC-W Lin, I-H Ting, K Wang & T Tang (eds), Multidisciplinary Social Networks Research - 6th International Conference, MISNC 2019, Revised Selected Papers. Communications in Computer and Information Science, vol. 1131 CCIS, Springer, pp. 118-130, 6th International Conference on Multidisciplinary Social Networks Research, MISNC 2019, Wenzhou, China, 8/26/19. https://doi.org/10.1007/978-981-15-1758-7_10

Visualization of Health Data. / Alvarez, Veronica Castro; Huang, Ching yu.
Multidisciplinary Social Networks Research - 6th International Conference, MISNC 2019, Revised Selected Papers. ed. / Jerry Chun-Wei Lin; I-Hsien Ting; Kai Wang; Tiffany Tang. Springer, 2019. p. 118-130 (Communications in Computer and Information Science; Vol. 1131 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Visualization of Health Data

AU - Alvarez, Veronica Castro

AU - Huang, Ching yu

N1 - Publisher Copyright: © Springer Nature Singapore Pte Ltd 2019.

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Environment

KW - Health

KW - Tableau

KW - Visualization

UR - https://www.scopus.com/pages/publications/85078480472

U2 - 10.1007/978-981-15-1758-7_10

DO - 10.1007/978-981-15-1758-7_10

M3 - Conference contribution

SN - 9789811517570

T3 - Communications in Computer and Information Science

SP - 118

EP - 130

BT - Multidisciplinary Social Networks Research - 6th International Conference, MISNC 2019, Revised Selected Papers

A2 - Lin, Jerry Chun-Wei

A2 - Ting, I-Hsien

A2 - Wang, Kai

A2 - Tang, Tiffany

PB - Springer

T2 - 6th International Conference on Multidisciplinary Social Networks Research, MISNC 2019

Y2 - 26 August 2019 through 28 August 2019

ER -

Visualization of Health Data

Abstract

Publication series

Conference

UN SDGs

ASJC Scopus subject areas

Keywords

Access to Document

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Cite this