Confused am I… But so pretty!
it’s the top 10 songs from Billboard:
Only one I got off the top of my head was #6, Imogen Heap ftw
2 – Lady Gaga?
5 – Grave of the Fireflies?
9 – Threesome I guess. Noting the specification that +1 is pink (i.e. female)
Cute! But your readers obviously don’t listen to pop.
ha, yeah, i think something got lost in translation.
Are you sure you have the right song for #7?
britney says she’s caught in between, so “me” should be in the middle?
very cute stuff! now i have all these songs stuck in my head…
For a second, I thought, “yay, it’s Friday” because of Friday’s fun charts but then I realized it’s Monday.
@daniel – i’m shifting gears a little to lessen the cases of the moowndays :).
I like it! A nice chart to brighten the Monday. Cheers!
if you like this, check out djearworm.com and listen to “United State of Pop” for various years that he did it.
they are mashups where he picks one tune and mixes in the top charting tunes for the year.
Loganotron » Flowing Data: Billboard Top 10
This is both baffling and charming. Nathan, did somebody slip something in your drink? ;)
nobody understands me!
but we love you anyway
LOL, I got your visualization. Mad creative & awesome. What gave you the idea?
@Moses – yes! i amused one person. that is all i need. this is going to be a weekly thing here… sort of a data comic, called “data underload,” this being #1. i’m going to be visualizing things that really have no need to be visualized.
i’ll explain myself better in an upcoming post.
Data Underload is a good play on words. Data Visualization’s main purpose (well, one of them) is to make it easier to digest data. I like.
Any chance I can collaborate on a visualization or two? Big fan and I’ve got some illustrator/photoshop skills. BTW, do you know of a good resource for generating area maps, such as what you did for #1 above.
Shared Items – December 20, 2009 | booyaa dot org
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I wanted to see how daily patterns emerge at the individual level and how a person’s entire day plays out. So I simulated 1,000 of them.
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Some jobs tend towards higher divorce rates. Some towards lower. Salary also probably plays a role.