David Spiegelhalter is a Professor of the Public Understanding of Risk at Cambridge University. He studies the choices we make, and how those choices can have an effect later on.
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Nicholas Felton’s personal annual report on his life is now up. For those not in the know, Felton makes this report every year based on data he has collected about himself. People see the report, and think to themselves, “I want that for my life.”
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Your hair distribution in the morning, based on how you slept the previous night.
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Since you’ll be trying every single drink recipe in the engineer’s guide this weekend, you’re most likely going to drop some food on the ground. Consult this flowchart to decide whether to eat it. Results may vary by individual.
Food on the ground, food on the ground. Looking like a fool with your food on the ground.
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Seeing as the weekend is just about here, I’m sure many of you can find a use for this guide. It’s drink recipes hand-drawn like schematics to some circuitry system. I like how color wasn’t an option, so instead they used 42 stripe and dot patterns to differentiate ingredients.
See the full version here [pdf].
My sister sent this one along, but I couldn’t find the original source. Anyone know?
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How to Make a Heatmap – a Quick and Easy Solution
A heatmap is a literal way of visualizing a table of numbers, where you substitute the numbers with colored cells. This is a quick way to make one in R.
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Update: I had scheduled this post for next week, but apparently, Data.gov.uk launched today. The site isn’t loading for me right now though. I guess they weren’t prepared for traffic.
Data.gov, a catalog of US data, launched last year. Now it’s the UK’s turn. Well, not yet. But soon. Data.gov.uk is still under lock and key, but it has granted access to some developers. Ito Labs, the group behind mapping a year of OpenStreetMap edits posted screenshots of their maps that show vehicle counts (above).
Here are some comparison maps between 2001 and 2008, by vehicle type.
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I’m admittedly not very good with historical precedent, but I think we can all agree it’s important to know about the work those have done before us. It makes your own work better and lets you appreciate what others do more (or less).
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Thank you, sponsors. I wouldn’t be able to do what I do on this blog without you. It seems like FlowingData is growing faster every month, and you guys make that possible.
Check out what these fine groups have to offer. They help you understand your data:
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Email me at nathan [at] flowingdata [dot] com if you’d like to sponsor FlowingData, and I’ll send you the details.
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In 1903, Crayola had eight colors in its standard package. Today, there are 120, along with special packs like Gem Tones and Silver Swhirls. What happened? Above, from Weather Sealed, shows the growing color selection (and a few color retirements) in the standard package from 1903 to now.
In 2101, Crayola will hit a color peak and revert to a simpler time. The standard pack will have just two colors: black and Tickle Me Pink (#FC89AC).
[via Waxy Links]
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Lazy Bob called himself an information designer, but everyone else knew the truth.
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It’s funny how data is finding it’s way into everyday objects. There was jewelry a few months ago and coins last month. Now we’ve got this experiment with Christmas ornaments from Really Interesting Group (RIG). The snowman’s head is sized by the number of followers on Twitter; the (rain) bars represent miles traveled per month on Dopplr; the red shows listening habits on last.fm; and finally, the blue one shows apertures you’ve used over the year for photos uploaded to Flickr. Read More
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How do you compare music visually? You can break it down into data by quantifying the notes, volume, etc and then visualize it with timescapes (above). The horizontal axis represents musical time, from the beginning to end of a piece. Large blocks show similarities to other pieces and smaller noisy chunks show more “fleeting” similarities.
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Some movies are popular everywhere. Others are popular only in certain regions. The New York Times, in a nice team effort, maps rental popularity by zip code for large regions in the US.
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Randall of xkcd has been having fun with data visualization lately. In his latest data-ish comic, Randall explores gravity wells. The height of each well is sized relative to the amount of energy (on Earth) it would take to escape that planet’s gravity. The width of wells are scaled by planet size.
So you’d need one big arse rocket to escape Jupiter.
I know it’s a comic, hand-drawn, and all stick-figurey and stuff, but Randall actually explains the concepts really well. There’s good annotation, clear examples, and he’s made an obscure topic easy to understand.
It’s also entertaining in the Bill Nye the Science Guy (i.e. best Saturday morning show ever) sort of way.
[Thanks, Ricki and Thomas]
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FYI: A new edition on the current state of the world is coming soon from FlowingPrints. Join the mailing list to be first to know when it’s available. I’m only going to take orders for one week this time around, so please please make sure you sign up. More info coming next week.
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Deal with data? No doubt you’ve come across the time-based variety. This is a guide to help you figure out what type of visualization to use to see that stuff.
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Old graphics are awesome. We saw some from the 1930s already. These are even older.
Other than the maps, I don’t exactly know what I’m looking at (knowing French would help too), but who cares? Mmm, hand-drawn goodness.
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All Things Considered discusses why music sounds worse than it did a few decades ago. Through a practice using compressors, the quiet parts of a song are made louder and the louder parts quieter so that the song as a whole sounds louder to your ear. The purpose: to make the song stand out when you hear it on the radio.
As a result, tracks have gotten louder over the years.
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