Google

1 posts
Chart search popularity

Anna Vital, in collaboration with the Google News Lab, shows the search popularity of chart types, books about charts, and tools for charting. The project is called The Visualization Universe. It surprises me to see some chart types so high on the list, such as the Gantt chart and Ishikawa diagram, but maybe that’s more of an indicator of where I am in the visualization spectrum. Tags: chart types, Google

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Google collected Android users’ location without permission

Keith Collins reporting for Quartz: Since the beginning of 2017, Android phones have been collecting the addresses of nearby cellular towers—even when location services are disabled—and sending that data back to Google. The result is that Google, the unit of Alphabet behind Android, has access to data about individuals’ locations and their movements that go far beyond a reasonable consumer expectation of privacy. What. Google says they didn’t store or...

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Google maps street-level air quality using Street View cars with sensors

Google equipped their Street View cars with air quality sensors and sent them around several California areas. We’re just beginning to understand what’s possible with this hyper-local information and today, we’re starting to share some of our findings for the three California regions we’ve mapped: the San Francisco Bay Area, Los Angeles, and California’s Central Valley (the Street View cars drove 100,000 miles, over the course of 4,000 hours to...

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Statistical diversity in US newsrooms

If a news organization wants to talk about the world in a fair way, it needs points of view from a group of people who are representative of said world. Otherwise, bias comes to play no matter how hard you try. Google Trends looks at the how different groups are represented in major news organizations across the country. Tags: diversity, Google, news

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Machine learning demo with your webcam and GIFs

The Teachable Machine from Støj, Use All Five, and Google is a fun experiment that lets you “teach” your computer. Your webcam is used as an input device, and using deeplearn.js, you can make three classifications that change the output. Use different hand gestures, faces, or movements to signal differences, and you can see probabilities change in real-time. It’s hard to believe this stuff runs so smoothly in the browser...

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Most frequent how-tos we search for

Xaquín G.V., in collaboration with the Google News Lab, investigated what people around the world searched for how to do. Starting with items in the household that need fixing, the visual essays looks at more general topics and the seasonality of things. If anything, check out those animated GIFs. Tags: Google, search

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A thousand ways to draw a thing

Google released the Quick, Draw! dataset, so the closer looks at the collection of 100,000 sketches are coming in. This fun piece by Yannick Assogba uses principal components to arrange doodles in some organized way. Reminiscent of Aaron Koblin’s classic The Sheep Market. Tags: Doodle, Google

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Circle drawing as an indicator for culture

Thu-Huong Ha and Nikhil Sonnad for Quartz looked at the doodling dataset from Google, in search of cultural differences hidden in how we draw circles around the world. We used the public database from Quick, Draw! to compare how people draw basic shapes around the world. Our analysis suggests that the way you draw a simple circle is linked to geography and cultural upbringing, deep-rooted in hundreds of years of...

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Comparing Google Maps and Apple Maps Over a Year

Google collects much of their own data to construct their maps, whereas Apple sources most of their data externally. This difference, coupled with varying cartography that changes over time, means an interesting contrast between the two map services. Justin O’Beirne took monthly screenshots for a year to look at the differences more closely. Tags: Apple, cartography, Google

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Apple vs. Google company structure, as seen through patents

For Co.Design, Periscopic compared patent ownership between Apple and Google, which ends up providing a good idea of company structure. “Over the past 10 years Apple has produced 10,975 patents with a team of 5,232 inventors, and Google has produced 12,386 with a team of 8,888,” writes Wes Bernegger, data explorer at Periscopic. Those numbers are, frankly, pretty similar in terms of proportion. “The most notable difference we see is...

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