title: Data on the distribution of cancer incidence and death across age and sex groups visualized using multilevel spie charts.
abstract: Cancer incidence and death statistics are typically recorded for multiple age and sex brackets, leading to large data tables which are difficult to digest. Effective visualizations of this data would allow practitioners, policy makers, and the general public to comprehend the data more readily and act on it appropriately. We introduce multilevel spie charts to create a combined visualization of cancer incidence and death statistics. Spie charts combine multiple pie charts, where the base pie chart (representing the general population) is used to set the angles of slices, and the superimposed ones use variable radii to portray the cancer data. Spie charts of cancer incidence and death statistics from Israel for 2009-2011 are used as an illustration. These charts clearly show various patterns of how cancer incidence and death distribute across age and sex groups, illustrating (1) absolute numbers and (2) rates per 100,000 population for different age and sex brackets. In addition, drawing separate charts for different cancer types illustrates relative mortality, both (3) across cancer types and (4) mortality relative to incidence. Naturally, this graphical depiction can be used for other diseases as well.
authors.affiliation: Department of Computer Science and Engineering, The Hebrew University of Jerusalem, 91904 Jerusalem, Israel. Electronic address: feit@cs.huji.ac.il.
authors.forename: Dror G
authors.initials: DG
authors.lastname: Feitelson
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D002423:Cause of Death; D002648:Child; D002675:Child, Preschool; D016208:Databases, Factual; D005260:Female; D006801:Humans; D015994:Incidence; D007223:Infant; D007557:Israel / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D009369:Neoplasms / Q000453:epidemiology* / Q000401:mortality / Q000473:pathology*; D017678:Sex Distribution; D055815:Young Adult
keywords: Age/sex distribution; Cancer incidence data; Data visualization; Distribution comparison; Mortality data; Spie chart