Abstract
Breast cancer is one of the most important cancers in women around the world. The number of new cases of breast cancer in Taiwan has already broken the 10,000 mark each year to cause more than 2,000 unfortunate deaths. Many academic studies point out that the external environmental factor of breast cancer may be attributed to air pollution. Although there were relevant past studies on the external environment factor of breast cancer in Taiwan, but most statistical analyses had done little interactive visualization differences between air pollution indexes of counties/cities and the general trend status of breast cancer. in this study, a cross-domain integration was conducted based on air pollution and the density of cars/motorcycles in counties/cities to present it in a data visualization manner. The aim is to explore the correlation between the exposure to external environmental factor and breast cancer incidence rate in Taiwan. This involved integrating the open government data and establishing an entity-relationship model (ERD) using Power BI to visualize it, and exploring the correlation between the exposure to external environmental factor and breast cancer incidence rate in Taiwan. Supplemented by data visualization, data drilling was done on the impact of air pollution indexes in counties/cities to breast cancer, thereby providing a more effective platform for relevant institutions and the public to perform more beneficial breast cancer prevention advocacy, raising public awareness on breast cancer, and lowering the harmfulness of external environmental factor on breast cancer in the future.
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