Take all the guesswork out of finding “love” on Tinder, and let the True Love Tinder Robot by Nicole He swipe for you. Sensors measure your palm sweat and the robotic hand acts accordingly.

The True Love Tinder Robot will find you love, guaranteed. With Tinder open, you put your phone down front of the robot hand. Then you place your own human hands on the sensors. As you are looking at each Tinder profile, the robot will read your true heart’s desire through the sensors and decide whether or not you are a good match with that person based on how your body reacts. If it determines that you’re attracted to that person, it will swipe right. If not, it will swipe left. Throughout the process, it will make commentary on your involuntary decisions.

Enter the real world of data and statistics, and you find that files aren’t always neatly wrapped with a bow and delimited fields. Christopher Groskopf, who recently joined Quartz, provides an “exhaustive reference” to deal with the real stuff.

Most of these problems can be solved. Some of them can’t be solved and that means you should not use the data. Others can’t be solved, but with precautions you can continue using the data. In order to allow for these ambiguities, this guide is organized by who is best equipped to solve the problem: you, your source, an expert, etc. In the description of each problem you may also find suggestions for what to do if that person can’t help you.

The guide is aimed at journalists but easily applies to general data meanderings. I think we can all easily relate to problems such as missing data (“Where did the rest go?”), sample bias (“The population is who?”), and data in a difficult-to-manage format (“They gave you how many PDF files?”).

Bookmark it, read it, and keep it in your digital pocket.

As the saying goes, “All roads lead to Rome.” Folks at the moovel lab were curious about how true this statement is, so they tested it out. They laid a grid on top of Europe, and then algorithmically found a route from each cell in the grid to Rome, resulting in about half a million routes total. Yep, there seems to be a way from Rome from every point.

Above is the map of these routes. Road segments used more frequently were drawn thicker, and as you might expect you get what looks like a root system through the continent. I’m guessing thicker lines are highways and freeways.

Moovel did the same with cities named Rome in the United States and the state capitals. Pretty sweet.

Getting to 100 percent renewable energy seems like such a far away goal at this point in time – which is why Mark Jacobson has a plan.

Mark Jacobson, a Stanford engineering professor, believes the world can eliminate fossil fuels and rely on 100 percent renewable energy. Following up on his state-by-state road map for the United States, he has now released data on plans for how 139 countries could wean themselves from coal, oil, natural gas, and nuclear power.

The plan provides an energy breakdown for each country, and the National Geographic graphic shows how that compares to other countries incorporated in the plan.

See also the state-by-state plan for the United States, which shows breakdowns in the same fashion.

NASA mapped the annual cycle of all plant life on the planet in this animated map.

Satellite instruments reveal the yearly cycle of plant life on the land and in the water. On land, the images represent the density of plant growth, while in the oceans they show the chlorophyll concentration from tiny, plant-like organisms called phytoplankton. From December to February, during the northern hemisphere winter, plant life in the higher latitudes is minimal and receives little sunlight.

See also John Nelson’s breathing earth that used satellite imagery.

With recent events, you’ve likely seen the articles and graphics that get into the number of mass shootings this year and further into the past. You might have noticed that the numbers seem to vary depending on where you look, and the difference likely stems from how “mass shooting” is defined by the author.

Kevin Schaul for the Washington Post provides a straightforward interactive that uses a shootings dataset from Reddit, but shows how the count quickly changes depending on how your definition.

Does your vote matter? Aaron Bycoffe and David Wasserman for FiveThirtyEight provide an interactive that shows what states might switch sides if you changed turnout rate and party preference for various demographic groups.

There’s a dragger on the bottom for each group, where the vertical axis is the turnout rate and the horizontal is party preference. As you click and drag, states move back and forth accordingly.

The transition of states from one side to the other works well in this case, and as a whole, the interactive provides clarity to what I think might seem like a confusing statistical model.

In their annual survey that tests public perception against reality, Ipsos Mori asked people about their own country’s numbers. What’s the obesity rate in your country? What percentage of people in your country are immigrants? The Guardian setup the quiz so that you can see how your own perceptions compare against both reality and others’ in your country.
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Forget temperature and rain weather forecasts. I want to know when the sunset will look really good in a picture. Good thing SunsetWx now exists. It predicts “sunset quality” based on a mix of meteorlogical factors.

[A]s a landscape photographer, there are certain variables I look for each evening before making the decision to take time out of my day and photograph the sunset. The most important factor I look for is sky cover, and more specifically, the existence of high clouds over the area. High clouds not only provide moisture to refract the sunlight, their ‘wispy’ formation also provides “texture” to the sky and are high enough in the atmosphere for the sun to scatter light below. Think of these as a movie theatre screen, in which light can be projected upon.

[via Slate]

Ant activity can seem mysterious at times. The pack seems to start out slow as a few head out in your house in search for food. Before you know it, the entire colony is en route to a few crumbs that your toddler dropped on the floor a few hours ago.

Such a pain — but at the same time kind of impressive.
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Everything — all two items — in the FlowingData shop is half off. Use the code HALFOFF at checkout for half off your order. Half off.

NeuralTalk2 uses neural networks to caption images quickly. To demonstrate, the video below shows a webcam feed that continuously updates with new image captions based on what the computer sees. It’s not perfect of course, but the performance is impressive.

Millions of Americans will fly home this Thanksgiving weekend. (Based on my morning commute, the holiday already started a couple of days early.) Josh Katz and Quoctrung Bui for the New York Times mapped the difference in flight volume for this weekend against the norm, based on Google Flights search data.
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Metadata can tell you a lot, and most of us agree that it’s not “just metadata” at this point. The Share Lab shows what one can find, just using everyday tools and relatively straightforward analysis.

Although our investigation primarily discovered relations, patterns and anomalies of someone’s work life, it still gave us an insight into that person’s habits that border with private life. In the end, metadata scans someone’s behaviors on a much deeper level than traditional surveillance practice related to content could ever do.

The graphic above shows how people in the sample dataset emailed with others over. There’s no email content, but the headers provide enough information to sniff out connections.

See also: the search for Paul Revere with network analysis.

It’s true. Sometimes it’s okay for the y-axis to start at a non-zero value, which is why Johnny Harris and Matthew Yglesias for Vox tell people to shut up about the y-axis.

The video might seem contradictory to what I said about bar chart baselines, but we basically say the same thing. The context must match the visual, charts that don’t use length as the visual encoding can start at non-zero baselines, and take a second before you sputter a knee-jerk reaction.

With the availability of weight and food tracking apps these days, there are thousands of people building out their time series every day. Albert Sun for the New York Times visualized the outlier case of Steve Lochner who lost over 100 pounds during a three-year period.

Once again, the annotation makes it. As you scroll, the timeline plays out and significant events such as spikes, drops, and milestones are marked and explained. Keep on scrolling and you see how Lochner, labeled as a “super tracker”, compares to others who set a 50-plus pound weight loss goal.

Keith Collins for Quartz made an interactive that showed how much more daylight you get because of Daylight Saving Time. But it was generalized to a single location. Andy Woodruff is on it, and added a geographic component.

It’s noted on that page that the chart’s data “assume you are located in New York, but differences are minimal across the contiguous 48 states,” but I’m a geographer and must always disagree with any and all spatial claims, by anyone. I live in the same time zone where I grew up, but the sunrise/set times are almost an hour different between the two places.

See how DST impacts where you live.