Source: Washington Post Archive:

A beautiful interactive chart of causes of death according to age. (via Washingtonpost)

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An interested analysis, but not too surprising if you are already aware of DC income distributions. (via WashingtonPost blog article)

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Who doesn’t like goats?

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The statistics don’t look good.

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This awesome map shows what really is over the horizon as you gaze across the waves.

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According to this Harvard study, on average people today are just as likely to be better off than our parents than the generation 50 years ago was. I wonder if they adjusted incomes for debt? (I’m too lazy to check).

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I’m not sure why it took the Washington Post six months longer than the NYT to do an article and map about this. NYT’s interactive map/chart combo helps grasp what they’re measuring:

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Interesting breakdown of the costs of military and national guard personnel, and how they’ve been used this century. (related article)

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Climate change will not impact everywhere at the same time. The below map estimates when the average temperature of the coolest year will exceed the historic average hottest year. What does this mean? Besides that we’re all screwed, you may wish to reconsider your tropical retirement plans. (related article)

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And the original study also has some nice visualizations:image

Not the best charts in the world, but combined with the narrative, they are a good quick summary.

GDPvs.PotentialUnemploymentRate

Source: Bureau of Economic AnalysisIn billions of dollars. Source; Federal Reserve.

and so on.

A lot of these are misleading – but hey, so are most charts. For more entertaining interpretations of the same figures, check out The Washington Post’s “31 Charts to Destroy Your Faith in Humanity.”

image image image and so on.

Immigration has always been a tough issue to deal with.

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The chart reminds me of this John Stewart bit on immigration and “Traditional America”:

Two different analyses of supreme court decisions. I didn’t dig into the methodology, but the papers are available if you’re interested.

The so-called Quinn-Martin scores show the court trending significantly to the right in recent years, with even its left flank being relatively middle-of-the-road, relative to history.

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Bailey shows the court has become significantly more conservative since, for example, the 1960s, he still pegs the four more liberal justices as clearly to the left of the court, historically speaking. In addition, Bailey’s model actually suggests the court, while more conservative than in most of the last several decades, isn’t all that much more so than it was in the 1970s or when Sandra Day O’Connor was the swing vote in the 1990s and early 2000s.

 

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What is Chart Porn?

An addictive collection of beautiful charts, graphs, maps, and interactive data visualization toys -- on topics from around the world.

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