Mortality data with Tableau Public

Last month I saw this infographic chart put together by GE and GOOD magazine:

While the look and feel is pleasing I was bothered by a few choices of design.

First, homicides and accidental deaths are not taken into account. I suspect that for some demographic categories, they represent a significant proportion of the deaths.

Second, the table doesn’t give an indication of the differences in mortality between the different age groups. For instance, there are over 15,000 deaths per 100,000 people over 85 years old, but only about 130 / 100,000 for young people aged  15-24. So the last item in the right-most column corresponds to much more deaths than the top item in the left-most column, although they have the same visual weight.

Coincidentally, I got to try Tableau Public Beta and thought it would be a good exercise to give it a spin.
The data source is the same. I got my data through the wonder service of the CDC.
Here goes:

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By playing with the filters you can see the ranking of the causes of death. For instance, we can see that accidents and homicide are precisely the leading causes of death of young people aged 20 to 24. Now what if you want to see the demographic categories that one given cause of death affects most? Here’s a second visualization:

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You can see that certain causes of death, for instance, only affect one gender or the other (such are certain forms of cancer).
I’ve made that last one to illustrate the evolution of mortality with age. No one would be surprised to learn that older people have a higher probablity of dying but by what proportions?

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