I was planning on bookmarking just one of these, but this page has a list of seriously cool and diverse data visualizations ranging from interconnectivity of the web to the history of Great Britain.
Has a couple of videos with very detailed data visualization techniques employed by the New York Times to monitor the way their social media articles propagate through the internet. It evolves with time and shows many variables including the number of user's reading it and their locations.
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.
"anyqs"
Where are they getting the data for the music? Most listened to on radio? Pandora? Youtube searches?
Also, what does the size of each square represent?
This is a really cool visualization. I spent some time playing with the different layers and you can really see the different trends in music throughout history. Most are what you would expect, i.e. predominance of jazz and classical music pre-1950, rock and roll taking over after about 1950. I'm curious about how the genres were designated. Sorting music into genres isn't always so neat since there can be overlap. For example, James Brown is listed under funk but he is also "the godfather of soul". It would be interesting to know some demographic information such as the age groups that tend to like certain music.
anyqs
anyqs
Is there any definition to the points above and below the "x-axis"?
Were these the Top 10 chart hits for these various years, or where did these songs come from? In my opinion, there is a strong lacking of representation for popular country in recent years, as country music has gained popularity in the past decade and a half, or so.
Finally, where are the definitions for these genres coming from? For example, I'm not entirely sure I'd classify Rihanna as an R&B musician.
*By having the size of the dot represent the amount of times it was favorited and its location on the y-axis represent its popularity aren't you factoring in how well liked the song is multiple times?
How do you differentiate between pop and vocal pop, or any two genres for that instance?
Can a song be counted in multiple genres?
anyqs
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?"
anyqs
For the safety record (fatal accidents by airline), does the bigger the font size represent the higher frequency of fatal accidents? Or is it represent the higher number of fatality? Its kinda define ambiguous because in an fatal accident, the fatality also depends on the size of aircraft and number of passengers. A 120 passengers aircraft with 10 fatal accidents is better than a 230 passengers aircraft with 6 fatal accidents.
anyqs
For the bad month, I am so confuse with the circle. It only says January, May and August that had the most fatal accidents. Does that means that every other month no accident occur and what make these months so special? Is it because it is school holiday and people decided to go somewhere? I mean every other month have school holidays too or does this refer to America only because in Malaysia we have school holidays in June and Dec.
anyqs
I don't understand why there're numbers for only 3 months in the "bad month" section. For the bad flight, how are they bad? Does it mean those flights have the most crashes?
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.
anyqs
How has the tree distribution has changed since 2002? It would be valuable to see areas of recent over-logging in red and areas of new growth in a lighter green.
anyqs
This visualization is pretty interesting however I feel its lacking something to compare it to. I wonder how this tree distribution differs from the pre-industrial revolution distribution? Is today's tree distribution worse than before because of pollution and over-foresting? I also agree with Taylor, I think a different color like red to show recent over-logging would be very valuable to the viewer.
anyqs
anyqs
I wonder how the distribution of trees in the North West would change if we counted trees, not Biomass in tonnes, since so many of the trees there are large Redwoods which are considerably heavier trees due to their size.
anyqs
Is there a relationship between the locations of the restaurants and the population density? And does it seem like people who like to eat out a lot would want to visit both places?
anyqs
What does the radius of the cylinders in the Starbucks chart means? A comparison of revenues among fast food chains shows McDonald to lead the rest by a huge difference. Are those revenues standardized to account the number of restaurants each fast food chain has worldwide?
anyqs
Is the growth of Starbucks in multiple countries similar to what McDonald's growth was earlier? If so, how closely do the growths match, and can we expect Starbucks to eventually be as ubiquitous as McDonalds?
anyqs
The size of each bubble is confusing. The size of the ones for McDonald's and Starbuck's are very similar, but if looked at closely, are actually different. This leads to questions about the relative presence of each corporation in each region. Also the range that is covered by the McDonald's circles are greater than that of Starbuck's. I know that this visualization is just to show the relativity in size between the two companies, but the information given is hard to translate.
My question is, did they make the circles similar on purpose to show the similarities between the spread of the companies, or was it just because the overall range of Starbuck's presence was smaller than McDonald's?
anyqs: The article says "more women are entering college, which in turn is changing the relative popularity of disciplines," but doesn't say exactly what percentage of degrees awarded in each discipline go to women. I'm wondering what that percentage is. It would have been nice to have seen the number of degrees awarded to women and men in each discipline visualized with the number of degrees awarded.
anyqs: It is true that more students are earning science degrees than they did twenty years ago, but it is also true that more students are earning degrees, period. Note the growth in arts, music, and business degrees awarded. It would be good to know the percentage of the total increase in degrees awarded for each discipline.