Later this month the Affordable Care Act mandates states decide on how they wish to implement the state healthcare exchanges. The Guardian’s US interactive team has created this interactive application to track the state decisions. Each state is clickable to provide further details on what has been decided.
Credit for the piece goes to the Guardian’s US Interactive Team.
I’ve always liked naval history. So I was pleased when several days ago this movie of Royal Navy ship movements during World War I was released. Using data from navigation logs, it plots the locations of the UK’s naval ships throughout the course of the war and so when played out over time you see the changes in those positions. The screen capture below shows just how much the UK depended on guarding the trans-Atlantic convoys. But also note the UK’s operations on rivers deep inside China.
My only complaint is that I could not find a way to slow it down or pause it once it had started.
Credit for the piece goes to CartoDB and Zooniverse, via the Guardian.
Oil, sweet oil. How we depend upon you for modern civilisation. BP published a report on world energy that Craig Bloodworth visualised using Tableau.
The piece has three tabs; one is for production, another consumption, and a third for reserves. (The screenshot above is for production.) But when I look at each view I wonder whether all the data views are truly necessary?
In production for example, is a map of a few countries truly informative? The usual problem of Russia, Canada, the US, and China dominating the map simply because they are geographically large countries reappears. Furthermore the map projection does not particularly help the issue because it expands the area of Siberia and the Canadian arctic at the expense of regions near the Equator, i.e. the Middle East. That strikes me as counter-intuitive since some of the largest oil producers are actually located within the Middle East.
A map could very well be useful if it showed more precisely where oil is produced. Where in the vastness of Russia is oil being sucked out of the ground? Where in Saudia Arabia? In the US? Leave the numbers to the charts. They are far more useful in comparing those countries like Kuwait that are major producers but tiny geographies.
Lastly about the maps (and the charts), the colour is a bit confusing because nowhere that I have found in my quick exploration of the application does the piece specify what the colours mean. That would be quite useful.
Finally, about the data, the total amount of oil produced, but more importantly consumed, is useful and valuable data. But seeing that China is the second largest consumer after the US is a bit misleading. Per capita consumption would add nuance to the consumption view, because China is over three-times as large as the US in population. Consequently, the average Chinese is not a major consumer. The problem is more that there are so many more Chinese consumers than consumers in any other nation—except India.
A bit of a hit and miss piece. I think the organisation and the idea is there: compare and contrast producers and consumers of oil (and consumers of other energy forms). Alas the execution does not quite match the idea.
Credit for the piece goes to Craig Bloodworth, via the Guardian.
Visualising government budgets is always fun. Until you realise that you are seeing where your money is going. But now we look at Australia’s expenditures. And as I pay nothing in taxes to Australia, I get to keep my fun.
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.
God Save the Queen.
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.
Credit for the piece goes to Nick Mead.
The Eurozone. Greece. What a complete mess. And that’s just what has happened. What about what’s next?
If you are confused about how the debt crisis in Greece and the Eurozone will unfold, you are not alone. Thankfully, the Guardian has posted an infographic, more precisely an interactive flowchart, to help us sort out the mess. Now you get to choose your own adventure for Greece and the Eurozone.
Credit goes to Paddy Allen for posting, but it appears as if Lombard Street Research deserves the credit for the piece. But I might be mistaken.
You might recall that back in January an Italian cruise ship sank after striking submerged rocks. In case you were wondering, the ship is still there. But the plan is to refloat the ship and then tow it to a harbour on the Italian mainland and scrap the ship. The Guardian put together a nice interactive infographic explaining just how the process will work.
Credit for the piece goes to Paddy Allen.
Over at the Guardian, I was using this interactive piece from igraphics to follow the election results there. (It was a slight bit more interesting than following the French presidential election, because everybody knew Sarkozy was going to lose.)
Credit for the piece goes to igraphics, a Greek data visualisation outfit.
Via the Guardian comes an interactive piece from researchers at MIT and the Technical University of Lisbon that allows users to examine urban environments to compare population, energy use, and building material intensity for a select set of 42 different cities. The screenshots below are of neighbourhoods in Philadelphia.
Once the user has chosen an area, he or she can move on and analyse a different section of the city. This behaviour generates a comparison on the right of the current area to the previous area.
After the user has found an area of particular interest, he or she can generate a graphical report that summarises the findings for the selected area and compares that to other areas of similar scale in the city.
Credit for the piece goes to David Quinn and Daniel Wiesmann.
