I love my friends. When they see a nerdy graph or a fun data set, sometimes they’ll share it with me as blog-spiration.
This is how I became the proud owner of some real-life blood pressure data, as my friend has been requested by their doctor to record this information several times a day. As with any new dataset, I tried out several types of graphs to see which type provided the most useful information. I looked for outliers in the data so that we could investigate and explain them. I also looked for ways to categorize the information in the data set that might help me tease out patterns that are hidden within overall trends.
Next Sunday, February 5, the New York Giants and the New England Patriots will play in Super Bowl XLVI. I’m not a huge American football fan, but I do typically watch the Super Bowl, just so I can keep up with pop culture and to hear what kind of music the kids are listening to these days.
I took a trip through Super Bowls past on Wikipedia. I played with the data in several ways, but these Categorized Pie Charts were my favorite. I had hoped to make a prediction of who would win the game based on the location of the game, but unfortunately the Super Bowl has never been played in Indiana before.
As a result of the Occupy Wall Street Movement bringing concerns about income inequality to the news cycle, my goal was to find data related to this topic. I didn’t have an agenda, really – I just wanted to be able to confirm or deny whether their claims are legitimate.
Of course, the data were easy to get. It’s found here at the Census Bureau’s website. It shows mean income for each Fifth of households on an annual basis from 1967 to 2010. All values are shown in 2010 dollars, which adjusts for changes in purchasing power over time.