Skip to main content

US Cancer Stats 2010

I do habitually trawl a lot of websites. Partly because of my interests, partly due to my commitments, and some because I'm concerned. One among the last is The American Cancer Society Inc. A comprehensive website that incorporates A-Z of cancer. From learning about the disease to its treatment and from all relevant data to a chance to volunteer and make a difference, it includes all. The data is from the section Cancer Facts and Figures 2010. I know a similar page exists for the year 2011, but I'd rather wait for the year to be over and the numbers updated, so I can then not only look at the data, but also perform a meaningful comparison against the previous year.

The dataset is taken from page 3 of the PDF file, titled "Estimated new cancer cases and deaths by sex for all sites, US, 2010". Sadly, there can be no correlation between new cases and deaths, so, my main focus was to find the best way possible to represent this data in a dashboard. To make this more challenging, I desisted from using macros, and decided to use Pie-charts!

To keep the dashboard simple, I've used a pair of List Boxes, and the type selected in one will populate the related sub-types in the second.

After about 30 minutes of playing with the data, the dashboard came out as below:

Labels:

Comments

Post a Comment

Please do not post spam or promote your own site(s). Comments are moderated and such comments will not be published.

Also, please keep your comment relevant to the topic of the article.

Finally, please do not post any of your personally identifiable information such as phone number, email address or other important details as this is an open platform.

Popular posts from this blog

The Cricket Graphs: The Forgotten Chart

The fun of receiving feedback to blog posts is that one isn't quite sure what they might come up against. While mostly it provides fascinating discussions, insightful comments or explanatory questions, there is also the odd occasion when it throws up unusual requests. The other day I received an email in response to my post, The Cricket Graphs . The sender wanted me to create a "Partnership" chart, which would show the runs scored by the pair of batsmen for every wicket and the balls faced. I went searching for data on the Cricinfo website , and picked out the 3rd ODI  between the South African and Australian cricket teams which was played out in Kingsmead, Durban on October 28, 2011. The Partnership details were taken from the page titled Partnerships Table and the total balls faced by individual batsmen from the Scorecard. Constructing the graphs was a somewhat tricky affair, with two potential bar charts in two axes representing Balls and Runs, which had me w
1 comment
Read more

Florence Nightingale Circumplex Chart

I was taken to the  Florence Nightingale's Wiki page   during a recent research, and one of the interesting things I noted was her contribution to statistics. It came to me as a pleasant surprise that she is credited with inventing the polar area diagram , or occasionally the Nightingale rose diagram, which is equivalent to a modern circular histogram. Following the completion of my project and in my weekend to spare, I devoted time to recreating the chart in Excel. It took a combination of Doughnut-Pie-and XY charts and close to four hours to finish it. The colours are a bit darker, the values are approximate and the labels differently oriented, yet the chart looks fairly close to the original as is shown by the picture below.
2 comments
Read more

The Dorling Cartogram

My last project involved using a multitude of regions for drawing analysis, parallels and comparison. Not wanting to use yet another Choropleth graph, I decided to look up alternatives that were easier to create and preferably required no VBA. Soon I stumbled upon "The Dorling Cartogram", defined in the UCSB site as, "This type of cartogram was named after its inventor, Danny Dorling of the University of Leeds. A Dorling cartogram maintains neither shape, topology nor object centroids, though it has proven to be a very effective cartogram method. To create a Dorling cartogram, instead of enlarging or shrinking the objects themselves, the cartographer will replace the objects with a uniform shape, usually a circle, of the appropriate size." I had the data for Obesity in the United States handy, so I decided to give it a try before using it in my project. I opted to use Bubble charts because data points within a series may need to be of varied shapes based on
Post a Comment
Read more