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Some interesting data on mean salaries for different universitites and different majors

The question that really jumps out at me is in the section with the greyscale plane diagrams - Do the planes with the most fatalities also have more cumulative flights? The ratio of planes in service to accidents gives some scaling data, but it's entirely possible that the seemingly dangerous Boeing 737 family has made many more cumulative flights than its counterparts. "anyqs?"

In the display of the number of crashes by month, does the thickness of the circle represent anything in the data because some circles are thicker than others, or are the numbers being compared just based on the diameter of the circles?

anyqs In the second display, I'm confused with in ratio of the number of the planes in service to fatal accidents. The ratio is interpreted as an indicator of the safety factor of the plane. However, in my opinion, the larger plane is taking a higher risk of suffering more casualties rather than comparing their in service ratios.

Why are straws included in the most loved things at McDonalds? Wouldn't straws be included in Shakes? Although I guess you can eat a shake with a spoon :P Secondly, McDonalds is ubiquitous. How can they make conclusions about customer's "loyalty" when some people may not even have a chipotle, the restaurant with the lowest "loyalty", near them? anyqs

anyqs I'm curious about the socioeconomic status of the customers and how they order off the menu. From my experience as a McDonald's employee, the lower-income bracket orders off the dollar menu, while families order value-meals and kids-meals, but that's just personal observations. I am curious to see if there is an actual relationship between the two.

anyqs Im curious as how they can even begin to compare McDonalds and Chipotle in the first place? It would have been easier for them to just compare them to eating at a non fast food restaurant than a specific one. SOme of the people sampled might not even enjoy chipotle. Also, I dont understand why the hot sauce portion is even included in the data. It doesn't seem to correlate with the rest of the data.

anyqs This is one of the most creative visualizations I've ever seen. I would be very interested to know more about the point at which Earth simply can't handle more people (as depicted by the nearly overflowing vials). Asia's vial, for example, is nearly filled to the brim by the year 2015, indicating that it will start to overflow soon. Does this mean that Asia's population growth will have to slow down before that of other continents? All the vials are the same size in this representation, but I would be curious to see which vial fills up first if the size of each vial was adjusted to represent a "theoretical maximum capacity" for each continent/country (based on available land, available resources, average consumption rates, etc.). From an execution standpoint, I think it would be useful to see a table of values with population growth rates for each continent/country, particularly because the vials mainly indicate relative rates. anyqs

anyqs This was pretty cool the first time around. I like the use of the glasses, but the way they have China, India and the rest of Asia in separate cups. How does the way they break up the world into regions affect the data? The separations make sense when trade/communication were minimal. But in the last 200 years, the most dramatic time, the importance of location in the data diminishes. Like Irene said, I also thought the "max capacity" of the cups was misleading. I like the part at the end where the world cup it about to overflow but I don't think it works with the individual cups.

The data is empirical, although the validity of the claims may not be that soild. They took the latest poll results for each state and translated them into probabilities.

This is empirical because it uses data from 1200 adults in two different areas. Though it might be subjective because not everyone tells the truth about cheating at anything

This is a sister website of the very popular www.speedtest.net, which does many millions of internet download/upload tests every month. Aggregating that data across the world provides some pretty robust statistics on regional and national connectivity speed. You probably never knew South Dakota had the second highest average download rate in the country. http://www.netindex.com/download/2,1/United-States/ I'm guessing that's related to their cheap power and ample space in encouraging data centers to move in.

This is a branch of Computer Science, springboarded by my Computer Engineering major.

Here's a (new to me) blog all about data visualization.

xkcd delivers another great data visualization, this time of the ocean depths

The BioLogos Forum is pleased to present this infographic about science and faith in America. The graphic, titled "America's View on Evolution and Creationism," uses data from Gallup Research, The New York Times, and the Pew Research Center to show what Americans currently believe about the origins of humans.

;)

The "U.S. National Bank Notes, 1864-1935" database was assembled by Franklin Noll as part of a study on National Bank note production by the Historical Resource Center of the Bureau of Engraving and Printing. As such, much of the data relates to production; though issuance, redemption, and circulation figures have also been gathered in an effort to help explain variations in production.

wanted to bookmark a second one