With the situation in Ferguson, the New York Times mapped the distribution of military surplus through Defense Department program. Equipment, especially assault rifles, have gone to most parts of the United States.
Leading up to a Nike women's 10k run, design studio Variable made FuelBand Fibers, an artistic interpretation of a week of activity from seven individuals.
To celebrate effort of preparing for the run Nike has chosen 7 influential runners equipped with FuelBands. Up to the minute Nike Fuel data was then collected 24/7 and delivered to Variable to tranform into beautiful artworks. This is how Fibers were born. 7 digital fibers growing when the person is working out, one for each day of training, stylized uniquely for the given runner.
So each fiber represents a day, each essentially a timeline from bottom to top. Thickness represents activity, and colors represent times when a person led in the FuelBand community. The results: organic.
See more details on what the visuals show and how it was made on the project page.
Scott Harrison, the founder and CEO of charity: water, describes how the organization uses data to improve what they do, both on the ground and internally.
The first is program data, which is the information we collect on the water programs and projects we fund in 22 countries around the world. The second is data on our donors and supporters — for example, how much time or money they've given, which projects or aspects of our work they are most interested in and how they interact with our website. And finally, we collect internal data on our work in order to increase our effectiveness and efficiency as an organization.
Daniel Colman won $15.3 million in the The Big One for One Drop poker tournament, but he seems annoyed about it. What he had to say after the win:
First off, I don't owe poker a single thing. I've been fortunate enough to benefit financially from this game, but I have played it long enough to see the ugly side of this world. It is not a game where the pros are always happy and living a fulfilling life. To have a job where you are at the mercy of variance can be insanely stressful and can lead to a lot of unhealthy habits.
Clearly we're missing some details here — stuff that would make a person disgusted with winning — but how about that response. Stability and normality for the win. Or, well, in this case, variance for the win. Nevermind, forget it. [via Deadspin]
You get your CSV file, snuggle under your blanket with a glass of fine wine, all ready for the perfect Saturday night. Then — what the heck — there's a bunch of missing data and poorly formatted entries. Don't let this happen to you. CSV Fingerprint by Victor Powell provides a simple, wideout view of your CSV file, color-coded for quick quality control.
To make it easier to spot mistakes, I've made a "CSV Fingerprint" viewer (named after the "Fashion Fingerprints" from The New York Times's "Front Row to Fashion Week" interactive ). The idea is to provide a birdseye view of the file without too much distracting detail. The idea is similar to Tufte's Image Quilts...a qualitative view, as opposed to a rendering of the data in the file themselves. In this sense, the CSV Fingerprint is a sort of meta visualization.
Try it with your own CSV data. Never let a subpar CSV file ruin your Saturday night again.
We've seen migration within the United States before, but Gregor Aisch, Robert Gebeloff, and Kevin Quealy for the Upshot take a more time-centric look at how people moved state to state, over the past century.
The following charts document domestic migration since the turn of the last century, based on census data. For every state, we've broken down the population by resident's state of birth. The ribbons are color-coded by region, and foreign-born residents are included at the bottom, in gray, to complete the picture for each state.
The good thing about the ribbon approach, other than the flow-like aesthetic that lends well to the topic, is that you can see the change in order through the years. Unlike a stacked area chart, each layer isn't restricted to an original ranking, so you can for instance, see that a lot of people born in California moved to Idaho starting in the 1960s.
On top of that, there are lots of nice details like ribbons move to the top when you mouse over, labels that follow the time series pattern, and a thicker highlight bar at each point in time. All of these make the data easier to read.
This Chrome Experiment follows the unlikely odyssey of the ISEE-3, a spacecraft launched in 1978 to study the Sun, but better known for its amazing accomplishments beyond that original mission. "A Spacecraft for All" is an interactive documentary combining film and 3D graphics, allowing you to follow the spacecraft's story as you trace it along its entire 36 year journey.
The combination of video and interactive sometimes feels gimmicky, but this feels like they belong together. The interactive portion lets you casually interact in space and look at orbit paths, and the video portion explains what you're looking at. Guidance comes when necessary.
To better understand race and poverty, MetroTrends maps where people live whose income is below the poverty line.
The history, geography, and politics of individual metro regions all matter profoundly, and any serious policy strategy must be tailored to local realities.
To help take the policy conversation from the general to the specific, we offer a new mapping tool. It lets you explore changes from 1980 to 2010 in where poor people of different races and ethnicities lived, for every metropolitan region nationwide.
Each dot, color-coded by race, represents 20 people. So when you slide between views for 1980 and 2010, you see how areas have grown more or less diverse, increased or decreased in covered areas, and perhaps areas in need of more attention.
The New York Times covered casinos in the Northeast and noted that more than half of the population is within 25 miles of a casino. Naturally, I wondered what it is like in other parts of the country, so I sampled uniformly across the United States looking for the nearest casino. The results are shown in the map above.
Using the Google Places API, I took about 7,500 samples in twenty-mile increments, east to west and north to south. Of those samples, 36 percent of them are 25 miles or less from a casino.
This is significantly lower than the Northeast's 50 percent mark, but keep in mind that the sample also includes uninhabited areas. Lots of deserts and mountains. So the national percentage for population is likely higher. After all, some 80 percent of the country's population lives in urban areas.
However, it's tough to say what the actual percentage is based on this data. Google classifies places as casinos based on their own criteria, and not everything is an actual casino by a legal definition. For example, there's one Utah casino location in my sample, but gambling is illegal in the state, and there are no Indian reservation casinos. This particular place is a poker party business.
So think estimate rather than concrete count.
But, speaking of reservations, also of note: how this map coincides with Indian reservations, especially in the west.
In any case, if you're in the mood to lose money, alongside a three-dollar prime rib dinner, it's likely you're not too far off.
For the non-developers: Online maps are typically stored pre-made on a server, in the form of a bunch of image files that are stitched together when you zoom in and out of a map. So developers have to periodically update the image files if they want their base maps to change. It's a hassle, which is why base maps often look similar. With Mapbox GL, making changes is easier because the development pipeline is shorter.
Although California has perhaps had it the worst, drought also affects other states, mainly the southwestern ones. Mike Bostock and Kevin Quealy for the New York Times have been updating an animated map weekly. It shows the spread of drought severity, across the United States. But, be sure to scroll down to also see drought levels over time, shown as stacked area chart.
To show the increased levels of drought throughout the state of California, Kyle Kim and Thomas Suh Lauder for the LA Times showed weekly change in drought levels with 188 color-coded California maps. There's also an animated version, but why do that when you can scrollllll?
A couple of years ago, the New York Times did something similar, but with a two-category color scale and on a national scale.
By way of David Kennerr, something in this CNN frame seems off.
Adding on to their series of graphics to explain statistical concepts, Victor Powell and Lewis Lehe use a set of interactives to describe Markov Chains. Even if you already know what Markov Chains are or use them regularly, you can use the full-screen version to enter your own set of transition probabilities. Then let the simulation run.
Nice. Should be especially useful for educators.
One of the things that drew me into Statistics is that you can apply it to a variety of fields, and in recent years, more industries hire in-house statisticians (or other varietals of data scientist and analyst). You can work in different industries with the same educational background.
However, the salaries can vary a lot between industries, which made me curious. How does salary vary across industries for other occupations? Here is an interactive to help you see, based on data from the Bureau of Labor Statistics for jobs in 2013. Search for your own occupation or browse random ones to see the changes and differences.
Using the original metaphor of a software sketchbook, p5.js has a full set of drawing functionality. However, you're not limited to your drawing canvas, you can think of your whole browser page as your sketch! For this, p5.js has addon libraries that make it easy to interact with other HTML5 objects, including text, input, video, webcam, and sound.
The library follows some of the same philosophy as Processing — that is, straightforward to get up and running — and reimagines the implementation and approach for recent web technology. Even if you're not into programming, it's worth visiting if just to watch, listen, and interact with Dan Shiffman as he enthusiastically talks about the library.
Digital Ethereal is a project that explores wireless, making what's typically invisible visible and tangible. In the piece above, a handheld sensor is used to detect the strength of Wi-Fi signal from a personal hotspot. A person waves the sensor around the area, and long-exposure photography captures the patterns.
Reminds me of the Immaterials project from a while back, which used a light stick to represent signal strength rather than a signal light.
A group of researchers from MIT, Microsoft Research, and Adobe Research are experimenting with seemingly inanimate objects as a proxy for sound in the vicinity. They call it the Visual Microphone.
When sound hits an object, it causes small vibrations of the object's surface. We show how, using only high-speed video of the object, we can extract those minute vibrations and partially recover the sound that produced them, allowing us to turn everyday objects—a glass of water, a potted plant, a box of tissues, or a bag of chips—into visual microphones.
See the demo in the video above. It's impressive. It's also great that there's another use for high speed video other than watching water balloons pop and guns fire on the Discovery Channel.
A group of researchers used where "notable individuals" were born and place of death, based on data from Freebase, as a lens into culture history. The video explainer below shows some results:
The team used those data to create a movie that starts in 600 bc and ends in 2012. Each person's birth place appears on a map of the world as a blue dot and their death as a red dot. The result is a way to visualize cultural history — as a city becomes more important, more notable people die there.
Before you jump to too many conclusions, keep in mind where the data comes from. Freebase is kind of like Wikipedia for data, so you get cultural bias towards the United States and Europe. There are fewer data points just about everywhere else.
Therefore, avoid the inclination to think that such and such city or country looks unimportant, focus on the data that's there and compare to what else is in the vicinity. From this angle, this is interesting stuff. [Science via Nature | Thanks, Mauro]