#MakeoverMonday – Week 41

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After missing Week 40, I was back at it for #MakeoverMonday Week 41. Although creating my viz from #MakeoverMonday live at #TC17 would have been lovely, here’s to hoping #TC18 becomes my first conference!! Over the weekend, I came across a twitter conversation around creative outlets and where people get their artistic side that they bring into the Data Viz world. For many, naturally, the outlet was drawing or sketching, but for me the creative outlet has always been writing. In fact, for the better part of three years, I cranked out a weekly sports article for several small-town newspapers throughout the state of Minnesota. However, at the end of 2014, with a baby on the way, I decided it was time to give up this hobby. But, while writing, I enjoyed the freedom I was given to make each article my own. Tableau absolutely provides us with that same kind of freedom. On to my Week 41 viz…

When I first saw the data set, Adult Obesity in the United States, my initial thought was to find some large discrepancies within each sub-category. It was clear pretty quickly that one of the biggest would be the difference in obesity rate between those with a college education and those with less than a high school education. For design, with state being a dimension, my mind immediately went to the fact that I hadn’t yet created a hex map. This post from Matt Chambers helped me quickly put my hex map together. I also used this post from Charlie Hutcheson, so thank you to both Matt and Charlie for their excellent posts!! So now that I had my very first hex map, something struck me…”why don’t I use stars instead of hexagons, to represent the stars of the U.S. flag?” Now, I’ll be the first to admit that hexagons look much cleaner and prettier. However, this IS Tableau and with the freedom to do whatever I wanted to do, stars just seemed to work. With the map, I wanted to simply show the total 2015 Adult Obesity Rate for each state and feel that was accomplished.

As was the case in Week 39, this time I also wanted to go for simplicity, which is why I left out the Income category from the bottom part of my viz. My feeling was it ties fairly closely to Education, so seemed redundant. I chose to compare 2011, the first year of data, vs. 2015, the most recent year. Again, I didn’t want to overcomplicate things, so I left out 2012-2014. To visualize the data, I put all states on the same row for each sub-category and used a dot plot. Here’s another great post from Charlie with several links to help build one. Using a hover action from the map, your state of choice is highlighted, so you can quickly view the change from 2011 to 2015. Probably most alarming to me is the fact that in New Mexico and Mississippi, the obesity rate of both 18-24 and 25-34 year olds is higher than that of the 65+ age group!!

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