Journal of the Korean Data and Information Science Society

한국데이터정보과학회 (The Korean Data and Information Science Society)
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Visualization and interpretation of cancer data using linked micromap plots

  • Park, Se Jin (Department of Statistics, Chonbuk National University) ;
  • Ahn, Jeong Yong (Department of Statistics (Institute of Applied Statistics), Chonbuk National University)
  • 투고 : 2014.08.26
  • 심사 : 2014.10.05
  • 발행 : 2014.11.30
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초록

The causes of cancer are diverse, complex, and only partially understood. Many factors including health behaviors, socioeconomic environments and geographical locations can directly damage genes or combine with existing genetic faults within cells to cause cancerous mutations. Collecting the cancer data and reporting the statistics, therefore, are important to help identify health trends and establish normal health changes in geographical areas. In this article, we analyzed cancer data and demon-strated how spatial patterns of the age-standardized rate and health indicators can be examined visually and simultaneously using linked micromap plots. As a result of data analysis, the age-standardized rate has positive correlativity with thyroid and breast cancer, but the rate has negative correlativity with smoking and drinking. In addition, the regions with high age-standardized rate are located in southwest and the areas of high population density while the standardized mortality ratio is higher in southwest and northeast where there are lots of rural areas.

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참고문헌

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