Journey analysis, Part 4: More maps!

This is the last in a series of analyses of the 2013 San Francisco Journey to the End of the Night registration data. It follows Part one, Part two, and part three. Here we’re examining what else we might see from location information.

First, how do we find out where people live? Area code is not terribly reliable; in this age of cell phones, much of this comes down to “where did you live when you got your first cell phone” — we have mostly 415 and 510, yes — but a lot of diversity (not surprisingly). So we’ll assume that the address people put down is an accurate representation of where they live, and use zip code to map people. If we just look at number of people coming from each zip code, we get a map like this:


Now, that tells us where most people are coming from. But, like any good mapper, we want to consider population density. Is this just a population map of the Bay Area? To find out, let’s use census data to see whether people living in a particular area are more likely to register Journey, using the same methodology we did in Part 3. We could do even better by using age-restricted census data (since we know what our approximate age range is). I leave that as an exercise to the reader.

So, if you recall, we came up with our analysis of the IFR for each zip code — of the people who registered for Journey, how likely are they to actually show up? And it looked like this:


Now, we consider the current question: from the overall population, how many register for Journey? We get a rather different look:


Yeah, a pretty low percentage. That’s about what we expect — as much as /we/ love Journey, the Bay Area is made up of tons and tons of people, and not all of them are into these weird events.

Now, are there any zip codes that stick out, in terms of how much of the population registers for Journey? It turns out there are!


Now, half a percent to two percent may not sound very impressive. But that means one out of every 50 to 200 people that live there registered for Journey! For any area, that’s pretty incredible. So, what /are/ some of those high-registering zipcodes?


I recognize some of those…let’s see it on a map.


Berkeley, Mission, SoMa: we love you too.

Finally, as a reward for making it all the way through this series, I’ve made an interactive map for you. If you want to see how the zip code you live in stacks up against the rest of the Bay Area (or the zip code your friend lives in), check it out here.

You can download the code and csv files needed for parts 3 and 4 here:

And that’s all! Do you have any other ideas on useful analysis from Journey data? Thoughts on improving the analysis here? Let me know!

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