This piece is doing some interesting things within the framework of the donut chart I generally dislike. We do get to see the levels of detail for different departments or areas of spending. For example, one can see that costs for building Australia’s new destroyers and how that fits into the whole budget. Or, by clicking on a slice of the donut, one can zoom in to see how pieces fit at the selected level.
But the overall visual comparison of pieces and then identifying them through colour is less than ideal.
Found via the Guardian’s datablog, credit for the piece goes to Prosple and OzDocsOnline.
For the Queen’s Jubilee I had been looking for a good infographic or two about how the United Kingdom had changed over the length of her reign, at least thus far. Alas, I found not a great deal of substantial work. This is an infographic from the Guardian that looks at quite a few single figures.
But it also has a map looking at the decline/unravelling of the British Empire.
It’s like a log cabin. But taller. A lot taller. The New York Times reports with an infographic on a nine-story block of flats (apartment building for us Americans) in London called the Graphite Apartments that was built almost entirely of timber.
Last week, the New York Times looked at the growing education gap amongst this country’s largest metropolitan areas. The infographic, click the image below to go to the full version, is perhaps a bit more layered, nuanced, and complex than it looks at first. In about forty years, the number of adults with college degrees has doubled, good, but so too has the spread of those numbers across the set of cities, bad. And then to look at any geographic spread, the two datasets are mapped geospatially. By my eye, the Northeast and Pacific Northwest seem to be doing fairly well. Not so much around the rest of the country.
A few days ago the Golden Gate Bridge turned 75. I had been hoping to see an interesting infographic or two about the bridge and its history appear. Alas, none worthy of posting have made their way to my digital desk. So instead I am stepping into the time machine, really just a cardboard box with some drawn-on dials, and pulling out this piece from the San Francisco Chronicle.
It looks at suicides from the bridge by location over its history—up until the graphic was made obviously. I’ve linked to a larger version of the graphic rather than the Chronicle’s site, because their graphic is shrunk too small to be legible.
I generally refrain from posting links to my professional work. Normally because I’d have to be the first to criticise it and tear it apart. But also because a lot of it is confidential and behind the paywall—it’s like the Iron Curtain meets the Great Wall but really a lot less interesting.
Yet from time to time, through the work and deeds of others, things escape and make it into the wild. Then things are fair game. This is one of those times and one of those pieces. The image links to the third-party page.
This falls under the just-because-it’s-about-geographies-doesn’t-mean-it-should-necessarily-be-visualised-as-a-map category. The Guardian has taken data from the African Economic Outlook, specifically real GDP growth rates, and charted them as a map. This caught my interest initially because of some work I have been doing that required me to read a report on African economic development in coming years. So I figured this could be interesting.
But it’s a map. That’s not to say there is anything inherently wrong about the map. Though the arrangement of the legend and size of each ‘bin’ of percentage values is a bit odd. I would have placed the positive at the top of the list and tried to provide an equal distribution of the data, e.g. 3–10 for both positive and negative values. But, without looking in any depth at the data, the designer may have had valid reasons for such a distribution.
That said, two finer points stick out to me. The first is Western Sahara. Long story short, it is a disputed territory claimed by different factions. I am not accustomed to ever seeing any real economic data coming out of there. But, according to the map, its growth is 0–3%. When one looks at the data, however, one finds that as I would have expected the data says “no data”. Ergo the green colour on the map is misleading. Not necessarily incorrect, for the growth could have been between those two points, but without any data one cannot say for sure.
The second concern for me is South Sudan—remember that story? For starters one cannot find it on the map; South Sudanese territory is depicted as part of Sudan. While South Sudan is one of the poorest countries on the earth, its split from Sudan is rather important. Looking at the data, one can see Sudan’s growth went from 8 to 4.5 to 5 to 2.8. Why the sudden drop? Probably because Sudan’s economic boom has largely been built on the boom in oil prices over the past decade or so. But, most of that oil is no longer in Sudan, Not because its been pumped dry, but rather most of the oil fields can now be found in South Sudan.
These are some of the contextual stories that make sense of a data set. But these are the stories lost in a simple, interactive map.