Interactive Data Visualization: Open Data of Pandemic Disease

被引:1
|
作者
Jayanti, Ni Ketut Dewi Ari [1 ]
Yulyantari, Luh Made [1 ]
机构
[1] Inst Technol & Business STIKOM Bali, Dept Informat Syst, Denpasar, Indonesia
关键词
component; formatting; style; styling; insert; SARS;
D O I
10.1109/ICORIS52787.2021.9649569
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A pandemic disease or pandemic disease is an infectious disease with a wide area of distribution, spread in several countries or even throughout the world. Several types of pandemic diseases that have existed include Severe Acute Respiratory Syndrome and Ebola. The development of the pandemic disease is one of the concerns of the world health organization. Open data (open data) on the spread of pandemic diseases is published to make it easier for related parties such as the government, health organizations to the public to obtain an overview of the problem of pandemic disease. However, published open data is still presented in numerical form so that the expected objectives are not achieved. In this research, data visualization will be carried out using open data on pandemic diseases. The research stages to be carried out were preceded by data analysis. The next stage is the clustering process, and the last stage is interactive data visualization. Literature studies were carried out during this research. The results in this study are interactive data visualization of pandemic disease open data, clustered by country and type of pandemic disease, cumulative number of cases, cumulative number of deaths and pandemic disease intersection in each country.
引用
收藏
页码:162 / 166
页数:5
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