Innovative Archive:

I generally like their simple designs, but would it kill Good to label their charts properly? (it’s national currency per dollar)

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(Sorry there haven’t been many updates lately – I’m on vacation in the Colorado mountains.) Here is a infographic  from Barry Ritholtz’s book Bailout Nation that does a great job showing the different causes of the crash, and how they developed over time:

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A great animated chart showing the likelihood of dying at different ages over the years. I would think demographic data like this would be ripe for interesting visualizations. Nice job understandinguncertainty.org!

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Two earlier posts/versions (one & two) don’t go back as far, but include the detailed explanation and some additional breakdown by risk factors.

ps – this data is for the UK.
pps – the same site conducts a similar analysis of Charles Minard’s famous infographic of Napolean’s 1812 campaign (odds of dying as the campaign goes on), as well as a cool animated bubble heat map of the size and location of the army:

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Another simple infographic from mint/wallstats.

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I think a lot of us take for granted how good we have it. Here’s a nice look at how “rich” you are, by Catherine Mulbrandon at visualizingeconomics.com. It’s been around for a while (uses 2000 data), but I just found her website this week.

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These info graphics are always pretty, but I sometimes wonder if a table isn’t just as good, or better. Perhaps if they added capital flows.

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Click on the timeline at the top to view past versions. Roll over country names to see real GDP growth 2007-10.

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A good example of combining data, graphics, and an economic story.

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The title is a little odd considering they include March 09 data, but it’s still a clever presentation. Hmmm. actually now that I look at it the lines aren’t moving proportionally, which means this is mostly gimmickry. Too bad.

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I could have sworn I posted this before, but it took Kelso’s post to remind me that I hadn’t. It’s a very nice interactive google-news aggregator:

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Greed was calculated by comparing average incomes with the total number of inhabitants living beneath the poverty line. Envy was calculated using the total number of thefts – robbery, burglary, larceny and stolen cars. Wrath was calculated by comparing the total number of violent crimes – murder, assault and rape – reported to the FBI per capita. Lust was calculated by compiling the number of sexually transmitted diseases – HIV, AIDS, syphilis, chlamydia and gonorrhea – reported per capita. Gluttony was calculated by counting the number of fast food restaurants per capita. Sloth was calculated by comparing expenditures on arts, entertainment and recreation with the rate of employment. And pride, lastly, is most important. The root of all sins, in this study, is the aggregate of all data. Vought and his Kansas colleagues combined all data from the six other sins and averaged it into an overview of all evil.

Related article with more details. (I couldn’t find the original study "The Spatial Distribution of the Seven Deadly Sins within Nevada” from Kansas State University)

Two nice infographics on CEO pay (the one on the right is interactive)

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Visual Think Map recently turned me onto Design Density‘s Infographics – they include so much information it is almost hard to read them on a computer screen. truly “super-graphics” in Tufte’s meaning of the phrase.

Here’s a few examples on poverty related to housing, leisure, health care & food.

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Some nice presentations from creditloan.com:

Why everyone hates AIG:

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US Stimulus Package breakdown:

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Corporate bailouts since 1970:

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the USA’s credit rating (below left) and How investment money is spent on wall street (below right. and I knew it!)

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Tax Day

In: Innovative US Economy

15 Apr 2009

Classic infographic, updated with Obama’s 2009 budget request. Item circles are proportional in size to their spending totals.

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some random tax statistics (below left), and a motion bubble chart (below right) showing increase in tax burden since 1901 (note: you can change the axis to play with different stats; click on a bubble with “trails” on to draw the history)

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