Wacky and Colorful

I often receive interesting ideas and suggestions from friends which forms the basis of some weird visualization. While personally, I prefer to keep my charts simple, effective and legible, I go creative listening to ideas from others.

A friend of mine recently changed jobs. Before making his first presentation, he wrote to me about designing a chart which would WOW all his audience and help him to make a dramatic impact.

The data was about units of products sold in each region and compared with similar data of competitors. Needless to mention, a simple column chart would have served his purpose well. But not to my friend. On his insistence, I drew up a dummy table, and served him the following.

They look like abstract paintings. Right? Utterly amazed and curious, I thought of using this template on the Eurozone Debt data and came up with an even more wackier and colorful one.

In both cases, the width of the lines are indicative of their values. I've avoided using labels in the second chart thinking they would add more clutter.

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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

The Pie-Doughnut Combination: A Fan Plot

Happy to be back after a pretty busy beginning to the new year. I had this completed almost immediately following the preceding post but was otherwise hard-pressed to find a suitable time to post it. Soon after writing the Florence Nightingale Circumplex Chart post, I started searching for more varieties of charts that can be created using combinations of Pie-Doughnut charts. Soon enough, I found one through Naomi B. Robbins' comment in a Jorge Camoes' post . The referenced PDF article attempts to use Fan Plot to display relative quantities and differences using the R statistical language as is shown in the image below. Impassive of its benefits and/or disadvantages, I created it in Excel.

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.

Somnath's Excel Charts

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