Trey Causey just finished an interview roundabout for data science jobs. He outlines his experiences and describes what interviewers seem to want, what questions to expect, and what to expect from yourself.

Sooner or later you’re going to find yourself looking for a data science job. Maybe it’s your first one or maybe you’re changing jobs. Even if you’re fully confident in your skills, have no impostor syndrome, and have tons of inside leads at great companies, it’s a tremendously stressful experience. The process of looking for a new job is often one that occurs secretly and confidentially and then is so exhausting that discussing the process is the last thing you want to do. I hope to change that.

A must-read for those about to get your feet wet.

See also Causey’s short guide on getting started with data science.

In a clean and simple set of slope charts, Alyson Hurt for NPR shows the shifts in power sources — coal, gas, nuclear, hydroelectric, and renewables — from 2004 to 2014. As you might guess, coal power output is down in most states and natural gas is up. On a national scale, the hydroelectric and renewable sources need more time.

Grab the data from the U.S. Energy Information Administration to look yourself.

Luis Dilger made a set of fine-looking prints that show city landscapes in 3-D. They look like little cardboard cutouts.
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You know the thing. It’s the triangle of numbers that you learned about in high school. Each number in a row is the sum of the two numbers above it in the previous row. Of course, as explained in the video below, there’s more to it than that. SECRETS REVEALED.

[via kottke]

It is estimated that over 200,000 people have been killed during the Syrian civil war. That’s a lot of lives. Lives. In a striking representation by the New York Times, a dot represents each life lost.

In a very non-government-like release (in a good way), the U.S. Department of Education provides detailed data for college debt, graduation rates, test scores, and more. It’s at the program-level, and there’s even a front-facing College Scorecard that lets you look up information for your university.

And it doesn’t look and work like an outdated government site. With all of my frustrations with government sites, the education release feels pretty great. It’s as if the department actually wants us to look at the data. Imagine that.

You can download the data as a single ZIP file, access it via the data.gov API, and most importantly, there’s documentation.

Seriously, this is good stuff, and if it’s any indicator for where government data is headed, there could be good things to come.

So you have your data neat and tidy in a single spreadsheet, and it’s finally time to explore. There’s a problem though. Maybe you don’t know what to look for or where to start. Maybe you’re not in the mood for a trip to clicksville to make all those charts. With a new exploration tab, Google Sheets might be a good place to start.
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Here’s a fun project to try over the weekend. Hannah Mitt and Andrew Morrison came up with a neat hack using an old Android device and a two-way mirror to make a future-y information display. It shows date, time, and weather, reminders, and the most recent xkcd.

Just import their project to your device, mount it to the mirror, and mount the whole thing to the wall. Done.

There are a lot of trees on this planet. But how many trees there actually are is still kind of fuzzy, because the estimates are based on satellite imagery. It’s hard to gauge density. Research by T. W. Crowther et al., recently published in Nature, used on-the-ground sampling to estimate more accurately.

The global extent and distribution of forest trees is central to our understanding of the terrestrial biosphere. We provide the first spatially continuous map of forest tree density at a global scale. This map reveals that the global number of trees is approximately 3.04 trillion, an order of magnitude higher than the previous estimate. Of these trees, approximately 1.39 trillion exist in tropical and subtropical forests, with 0.74 trillion in boreal regions and 0.61 trillion in temperate regions.

Apps peak and die on a regular basis. One day everyone is giving an app a go and your feed fills up with links to the service, and the next it’s business as usual. BuzzFeed took a straightforward look at such trends through the eyes of tweets. All they had to do was count tweets that linked to particular service over time.

Stock market spoofers put in orders to buy with the intent to cancel. This can shift prices up with fake interest, or it can shift prices down with a wave of cancellations. The spoofers then take advantage of the shifts by buying and selling accordingly. Bloomberg has an interesting stepper that walks you through the process for how one might catch such spoofers.

It starts with an overview. A minute of buying, selling, and cancellations whiz across the screen, and all looks hunky-dory. But then it zooms in on the details to show you what to look for, and it doesn’t look like such a flurry anymore.

The challenge is that regular people cancel orders all the time, and the activity itself is not illegal. More data needed.

Damien Saunder, a cartographer at ESRI, likes to use mapping methods to evaluate tennis player patterns and tendencies.

When I look at tennis, I see it moving on a grid. I see space and x/y coordinates [position] and I see z values [height], and I see trajectories of the balls, and space opening up. I started GameSetMap to try and educate people of the value of mapping where people are on the court, storing the data in a GIS, and visualizing it.

I don’t know the full context of this discussion, but in the interview below, Hans Rosling talks to media person Adam Holm about why we shouldn’t use the media to form our opinions about the world. Media person disputes. Rosling puts foot on table and says Holm is wrong.

Hard to argue with that.

See also Rosling’s 2014 TED talk on how to not be ignorant about the world.

There’s a small site dedicated to Bayesian-informed fantasy football decisions, because of course there is. Here’s the 101 intro.

Here’s the crux of thinking probabilistically about fantasy football: for any given week, when you start a player you’re picking out one of these little x’s at random. Each x is equally likely to get picked. Each score, however, is not. There are a lot more x’s between 0-10 points than there are between 20 and 30.

Weevmee autogenrates a woven-like image, based on your Instagram photos.

A lot of us are pretty into photographing our lives. We can look back at each individual image and it magically transports us back in time and engenders a memory. That’s great. But at the end of a long, fun year, we had no creative way to evoke the many memories contained in an entire year’s worth of images. We were hungry to create a single, personal manifestation of a year in photos – one that feels artistic enough to grab our attention, but contains enough clarity that it feels uncannily familiar.

Link your account, set some criteria, and you’re off to the races.