For this week’s data visualization example, I wanted to focus on a historic piece of mapping. Pictured above is America’s first electoral map. I picked this example to illustrate how a simple data set can tell an informative story about our country’s political history. Historian Susan Schulten discovered the map. It was buried in-between the pages of a landmark 1883 Statistical Atlas of the United States. At the time, this map was considered a huge innovation for cartographic and graphical work.
Here are some of the facts that this map tells us:
- This was an era when the parties were flipped. White Southerners flocked to the more conservative Democratic Party (red on the map).
- The 1880 election between Republican James Garfield and Democrat Civil War veteran Scott Hancock was incredibly close. Garfield won out on the popular vote by a small margin of (48.3% vs. 48.2%)
- The map also breaks down results by county, which would have been very hard data to collect at the time.
- It also shades each county by the margin of victory, a mapping technique that imparted extra information and had not been used before.
In contrast, today’s political maps are created by very sophisticated campaigns that measure all the way down to a block-by-block basis. Pictured below is 2012 political landscape map for contrast.
Advertising Account Related Positions for J-School Alumni
- The most popular account related position is an ‘Account Executive’ figuring at 68 total UW J-School alumni.
- There are 229 total positions within the data set that include the phrase “Account” in the ‘Job_Title’ column.
- Full Screen LINK.
Jay-Z’s Most Named-Dropped Products, By Album:
- Jay-Z is known for name-dropping brands—those of cars, clothing labels, alcohols, and weaponry, in particular—as a way of marking his authenticity as a self-made businessman. So Vanity-Fair took on the project of reading through the musician’s lyrics to sort out the top 15 most mentioned brands in his music. To make the task realistic, they referenced only albums officially included in his discography, and at times interpreted lyrics when they very obviously referenced a brand without outright saying it. (For example, when Jay Z mentions “red and green G’s all on my hat,”there’s no other brand that matches that description but Gucci.)
The results are telling. Jay Z’s most mentioned brand is Mercedes Benz, though he also holds a candle for Lexuses, Maybachs, BMWs, Bentleys, Range Rovers, and Porsches (in that order). In terms of designer labels, his change in taste over the years is apparent: His love of Gucci remains restrained but consistent and his new favorite designer—mentioned for the first time, nine times on his latest album—is Tom Ford. Also, in case you are one of the many people who enjoy Jay Z’s music but are unfamiliar with the 9-mm handgun market, Glock and Kel-Tec are gun brands.
Carticulate is a company founded by UW-Madison alum Matt Forrest. They specialize in combining the worlds of information visualization and graphic design with the strong foundation of traditional cartographic principles to build maps that are dense and deep, yet clear and comprehensive. Their maps look to bring answers to complicated questions, tell detailed stories, entertain, and inform.
My data visualization example for J475 this week involves a map documenting the nearest pizza places within a 10-mile radius across the United States. The creator of this map, FlowingData, went as far to call the data he used “nice and clean”. It’s data source can be found at AggData. The creator stated that he was more interested in tracking distance than location counts. Ultimately, he was looking to answer the question, “how long is it going to take the delivery guy to reach my doorstep?
Some of the results are as follows:
- Pizza Hut (red) is dominant nationally.
- Domino’s (blue) is the 2nd most dominant national pizza chain. They are especially abundant on the east coast.
Pizza place geography
Samuel Hutchins Small Multiples Example 9/30/2013
For this week’s assignment, I thought it would be interesting to do a reinterpretation of this example of a small multiples data visualization.
The above example depicts twenty-eight of Van Gogh’s paintings visualized as pic-charts showing the five most common colors in each as a percentage.
Here is my interpretation:
I took a few liberties with the original example. I thought it would be interesting if the pie charts were placed directly next to the paintings themselves. I believe that this visualization technique would make the pie charts more aesthetically impactful. It assists the viewer in better recognizing the color-distribution. I decided to use the painter KAWS as an example due to minimal vividness of the colors used in his work.