Apparently the forecasts for the current heat-wave in Australia are so hot that the Bureau of Meteorology had to add two new colors to it’s forecasting map:
And here is the NYT version of of the 2012 temperature map. I like the city histograms at the bottom.
The New York Times uses resized maps to illustrate some relative economic indicators. Resized non-contiguous cartograms are always interesting (mappingworlds for example), but I’m not sure they shed much light here as the country proportions are very similar across indicators. As usual, however, the NYT includes some very clear narrative notes to help you along.
An excellent analysis of the players from both teams. The colors map out where shots were taken from, and how accurate they were.
The NYT presents a list of options for you to decide how to trim defense spending. As usual, it’s not quite as easy as you might think – but I still got it up over $800 billion. I like this interactive way of educating people about budget issues.
Share of income that comes from government programs, broken down by type of benefit. (related article)
A number of news agencies took a crack at visualizing Obama’s 2013 budget proposal. (If you want to try it yourself, a shocking amount of detailed data is available in spreadsheet form at the OMB website).
Below is the Washington Post’s version. You can click on any box to see a column chart of historical values. It would have been nice to be able to drill down further, but this is a good start:
The NYT created a beautiful animated – ummm – I’m not sure what this is. A dorling diagram? Well, it looks pretty, and it’s slightly more detailed than the WashPost version, but I think the brain processes square area better than circles.
The WSJ posted five charts, but they’re nothing special:
Originally from PCRM, but I link to the NYT commentary below. Farm subsidies are a joke. Actually, almost all subsidies are a joke, now that I think about it.
A treemap of the jobs that the 1% are doing – showing a lot of variety. I wish there was more detail about the dataset source. The related article provides some anecdotal examples.
Enter your household income and see where you rank in 344 areas around the country:
There’s some interesting behind the scenes information on the news paper version here:
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