Food Archive:

Restaurant Density

In: Food Maps

6 Aug 2012

They adjusted for population, which is appropriate. Nom.

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compare it to bar density:

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How to Choose Wine

In: Food

1 Aug 2012

Accurate?

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A look at drought through the years. There’s also a nice article about the design decisions and process that went into it.

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Seasonality

In: Food

20 Jun 2012

When different foods are in season

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Here’s a version that includes regional differences:
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Caffeine

In: Food

18 Jun 2012

I love pointing out to people that a cup of coffee has more caffeine than red bull  – but nobody ever believes me.

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http://flowingdata.com/2012/06/06/overfishing-visually-explained/A well narrated video-graphic. (via FlowingData)

CityMaps is an interactive going out map service– something like a crowdsourced cross between google maps and yelp. Personally I found it to be a disturbing reminder of how surrounded we are by corporations and logos. For a fun game, see how many Starbucks logos you can fit in one screen – my record is eight, below. Currently available for NYC, San Francisco, and Austin.

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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.

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Cocktails

In: Food

3 Feb 2012

Ok, enough politics and economics this week. It’s Friday, so here’s a more appropriate graphic: The definitive guide to mixed drinks:

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In my experience, this is very true – whenever I jump off the carb/insulin roller coaster I lose weight very quickly.

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I have to say I love the image from the top of the article:

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Single Malt Flavor Map

In: Food

5 Jan 2012

I didn’t link this to the original over at Malts.com because they want you to enter some bullshit marketing form before you can enter the site – that, and they didn’t include my favorite Macallan’s 12 year on the map. The link below is to an explanatory blog post over at Strange Maps.

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Flavor Networks

In: Food Science

29 Dec 2011

Interesting work on flavors and food pairings over at Nature.com.

Each node denotes an ingredient, the node color indicates food category, and node size reflects the ingredient prevalence in recipes. Two ingredients are connected if they share a significant number of flavor compounds, link thickness representing the number of shared compounds between the two ingredients.

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(via FlowingData)