The analysis of statistical data about cancer occurrence is an essential task in epidemiology. It is considerable to identify risk factors in the early stage of occurrence. For this task the German Ce...
ntre for Cancer Registry Data is collecting the cancer occurrence in Germany. The effort to collect cancer registry data is important to investigate shot-, mid- and long-term effects of cancer occurrence and the evaluation of health care policy measures targeting cancer prevention, early tumor detection, cancer treatment and care.
The challenge is that every cancer occurrence must be analyzed under different perspectives. Every occurrence contains information about the age, gender, localization of the cancer (e.g. lung) and implication. Through this multidimensional view the visualization of cancer statistics must cover these properties simultaneously. The choice was to visualize the cancer occurrence along these properties to allow the user a discovery process. If you have a massive data set it es necessary to recognize patterns or interesting relationships. The flow visualization helps you to identify cancer occurrence of specific groups and to see the value distribution along the other properties.
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