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Moving for a while to Github pages

Mostly as a test, but also to allow for some increased flexibility, I am porting this blog to github pages. It's now available, along with a new post about NYT 4th Down Bot, right here.

I'll try to add today's expected internet behavior to make sure it's easy to follow along from whatever device/portal/dark corner you prefer your internet to come from, but if you have any suggestions or ideas, feel free to email me. My email address is really easy to find.

-KQ

When "throw" works.

#javascript

19 Sketches of Quarterback Timelines

On Sunday Eli Manning started his 150th consecutive game for the Giants, the highest active streak in the NFL and the third-longest streak in NFL history. (One of the other two people above him is his brother, Peyton.)

The graphics department published an interactive graphic that put Eli's streak in the context of about 2,000 streaks from about 500 pro quarterbacks. The graphic lets you explore the qbs and search for any quarterback or explore a team to go down memory lane for your team.

It's not particularly important news, but the data provided by pro-football-reference is incredibly detailed and the concept lended itself to a variety of sketches. It was also good practice sketching in D3, which, once you memorize a few things, isn't as painful as I had thought. (Being in SF for the fall makes learning easier, too, since I can interrupt Mike more easily when he's sitting one desk over. )

A couple bar charts in R. First, total games started (this compares Eli to QBs in his draft class or later).

And percent of games started (the people are 100% are players like Andrew Luck or RGIII who just haven't played a lot of seasons.)

Ported to a browser, just using total starts:

And share of total possible starts

A different angle, showing teams with all the QBs who have started for them since 2004. (Sorry, Cleveland Browns.)

A similar idea, but mapping when each quarterback played for a particular team

Or just showing all the quarterbacks, regardless of team, going back to 2004...

...or all the way back to 1970

Focuing on the teams took up less space, with a new color for each new QB. (Please wear sunglasses.)

Simplifying the output, only labeling prominent quarterbacks:

At this point this was the general thought, but there were still some thougts on what the bars could look like. Lines were one option:

And then some more streak-like streaks, which eventually became more like arrows and less like, I don't know, whatever you think these look like:

And the eventual one published Sunday, with search and fullscreen mode:

I accidentally data-joined Mark Brunell tonight.

#d3js

beepbopboopbeepbop

just another day breaking the internet with KPQ

chartsnthings-blog

JD = Guinan.

Another version of this bar chart of cable prices.

If Bieber programmed.

#someday

Some small news: Shan Carter and I will be teaching a class about data visualization this fall at UC-Berkeley.

The photo above is from Shan's syllabus page, which should answer any questions you might have about what kind of teacher he's going to be.

Graham's online class

My colleague Graham Roberts is teaching a SkillShare class about animated motion graphics. It's only $20. If you're interested in this sort of thing, it's probably worth not drinking those three beers and spending the money on Graham instead. (I get nothing by posting this except his eternal gratitude, which means maybe next time we do a narrated video I'll win the fight and he'll cut all the background music.)

These kind of storytelling skills are pretty hard to come by. If you have them, your portfolio looks like Graham's. If you don't, you could be stuck making broken 2D Sankey diagrams like this one for the rest of your career:

Winning

From a chat transcript with Amanda Cox this morning (with permission).

The spirit-lifting content she is describing is the print version of this interactive article, for lack of a better word, about income mobility, mostly developed by Amanda and Shan Carter. Subway man's fingers were tracing this chart:

It's always hard watching print readers, most of whom are ruthless scanners, come across something you made; I'm glad it appears to have worked out. It goes without saying that "winning" Amanda is preferable to "spirits fell" Amanda by all parties everywhere.

Just happened

100% no lie

Was just at a sandwich place outside work, chatting with a co-worker about an upcoming map project. Co-corker leaves. A guy in the sandwich place walks up to me, asks me if I make maps. I tell him yes, sort of, sometimes. He says he loves maps. I say, cool, me too. Then he says, You know what would be really cool is, a map of quiet places in New York. I say are you messing with me? He says no. I say, are you joking? He says no. I then tell him that in the last day or two the Times published THIS EXACT MAP. I then watched his mind get blown in slow motion.

The map in question is "Finding the Quiet City," a nice collection of video snapshots and reader suggestions by Catherine Spangler, Josh Williams, Emily Rueb and Jeremy White.

I had a journalism professor once say he knew he had written a good article when he overheard people talking about it in the supermarket. This seems sort of like that.

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