We already got to Mars. At the end of a week of maps and map-related things. Here’s a map of Mars. Well, sort of. It’s more of a map of Mars as explored by Curiosity. (Remember that guy?)
It’s an interactive piece from the New York Times that charts out just where the rover has driven and photographs of the stops along the way. There’s also a nice little chart that shows just how much of the trip has consisted of driving.
Credit for the piece goes to Jonathan Corum and Jeremy White.
Mark Zuckerberg wants to get more people on the internet. And why not, it’s not like his company, a small entity you may not have heard of called Facebook, has anything to do with the internet. So this map by the Washington Post looks at what proportions of the world’s countries are using the internet.
Credit for the piece goes to Darla Cameron.
Yes, yes it is. This map from the Washington Post looks at global temperature change since 1901. The article it supports is about how scientists are now all but certain mankind is responsible for global warming. Personally I prefer the term climate change because global warming sounds as if everything warms and as this map shows, clearly that is not the case.
Credit for the piece goes to Patterson Clark.
This map comes from the Washington Post and it uses the American Community Survey to explore languages spoken by Americans at home other than English.
I got stuck (in a good way) on the seemingly random counties of German speakers. After I poked around a bit, I found one where almost 50% of the county speaks German. After some quick investigation, it turns out that Holmes County, Ohio is a centre for the Amish population. The Amish, of course, will often speak German or Pennsylvania Dutch, thus accounting for the abnormally high percentage of German speakers.
Credit for the piece goes to Dan Keating and Darla Cameron.
For those of you who read this blog and are not from New York, Mayor Bloomberg is done later this year; he is not running for reelection. So now is the time for retrospective and plaudits for the long-serving mayor. The New York Times published a piece this weekend examining how all of Bloomberg’s changes for redevelopment have reshaped the city of New York.
Credit for the piece goes to Ford Fessenden, Tom Giratikanon, Josh Keller, Archie Tse, Tim Wallace, Derek Watkins, Jeremy White, and Karen Yourish
Today’s graphic comes from Thomson Reuters. It charts the success of 3D movies that have been released and how long those movies stayed in the theatres.
Credit for the piece goes to S. Scarr, G. Cabrera, and K. Pong.
Today’s post is a small interactive from the Wall Street Journal that allows the user to explore consumer spending not by category of spending, but rather the type of store in which they are spending, e.g. grocery retailers. Consumer spending is a fairly important measure of the US economy since so much of our economy depends upon it (I want to say roughly two-thirds, but I cannot recall exactly).
This piece has a few interesting things going for it. Firstly is the ability to compare and contrast three different retail channels (My screenshot compares only two). An unlimited amount would have been far too many, but three is a manageable number, especially in the various charting components used.
The tree map is interesting. I like the idea of using them, but I am not sure this is the best application. First, a tree map is fantastic for showing hierarchy. If, for example, there were sub-channels of the big retailing types, they could be nested within, well, squares or rectangles. But here the size and growth could have been compared perhaps more easily in a scatter plot. Secondly, I cannot determine the order for which the channels have been arranged. Clearly it is not by size, because the small ones are near the top. Nor is it reverse, because there are smaller ones where there should be larger ones.
Then the bar chart. An interesting idea, to be sure, of aggregating the sales per channel to see their total value. But if the goal is to compare them, would not a line chart looking at both separately not in aggregate show size and relative gains/declines against the other?
Credit for the piece goes to Dan Hill.
Driving can be dangerous. But perhaps most so in the developing world. The Pulitzer Center created this interactive map to allow users to explore just how dangerous driving can be.
Little windows provide details on countries the user rolls over. This data looks at deaths per 100,000 people, killer/victims, and lastly a rating of law enforcement across several different issues. The map also includes links to stories on the website as well as an information panel that related small bits of information about selected countries.
Credit for the piece goes to Tom Hundley and Dan McCarey.
A few weeks ago the Washington Post published a graphic that explained how space weather can have significant impacts on Earth. This is more of an illustrated diagram and less of a data visualisation piece, but it still worth a read. Why? Because, if scientists are correct, the sun’s magnetic poles should soon finish a polarity reversal. And that creates the potential for some stormy space weather.
Credit for the piece goes to Bonnie Berkowitz and Alberto Cuadra.
Earlier this summer I looked at a graphic by Thomson Reuters that compared life expectancy changes across the world from 1990 to 2011. Last month, the Washington Post published an interactive graphic that explores life expectancy (along with obesity and physical activity) across the United States from 1985 to 2010.
What I really enjoy about the piece is that each toggle for the health condition, i.e. life expectancy, obesity, physical activity, the text beneath swaps out to explain what the story is. Context is key. But then the ability to flip between the actuals and the growth for both men and women allows the user to really explore the data. And to see that growth or lack thereof is not even across the sexes.
From the design side, a minor point worth noting is the use of different colour palettes based on the mapped metric. The actual values (with the greater range) use a darker green-blue and tint that down whereas the growth values (all of three conditions) are in a different palette. Here it works, though I am more accustomed in similar pieces to seeing the swapping of palettes for changes in the mapped metric.
Beneath the big map, however, are two components also well worth the user’s attention. Perhaps deceptively simple, two sets of line charts, they add (again) context to the data. For example, while it is great to see life expectancy in the United States improving, when you compare that to the rest of the developed world, we are falling behind.
Overall a solid piece.
Credit for the piece goes to Patterson Clark, Kennedy Elliott, and Katie Park.
