For those following the status of the oil spill, the New York Times provides a map tracking the spread. Press play to get the day-by-day. The oil is currently spreading to the west of the Mississippi delta, getting dangerously close to the oyster beds (in red).
Big information graphics have been around for a long time. They've come in the form of maps, visualization, art, signs, etc. That was all on paper though. In the past couple of years, humongous, gigantic, and often really long infographics have found their way onto the computer screen, through blogs and news sites. Some are great. Some really suck. The volume is booming for both.
Let's take a look at when this all got started, where the trend is headed, and how much we should really read into these things.
As always, it was an interesting month for FlowingData. Thanks again, everyone for showing your support through retweets, likes, and stumbles.
In case you missed them or are new to FD, here are the top posts from the last month, based on a combination of views and comments. The Walmart map came back to life recently with new data and a feature on CNNMoney.
- Watching the growth of Walmart - now with 100% more Sam's Club
- Data Underload #18 - Sleep Schedule
- Explorations of real-world traffic
- Air traffic rebooted in northern Europe
- Trustworthiness of beards
- Data Underload #17: Famous Movie Quotes, p. 2
- A flowchart to decide what typeface to use
- 100 Pixar characters drawn to scale
- Data Underload #19: First Date vs. Reality TV First Date
- Streamgraph code is available and open source
From the Forums
There's some good stuff in the forums too.
- Example of bad Illustrations - Sometimes graphics make things more confusing.
- Multi-series scatter plots - Looking for a way to make these.
- Creating visualizations - What tools should you use?
- Data Scientists and Engineers for Online Game Data Startup - Looking for a job?
Have a question or something cool to share? Post it in the forums.
There are a lot of job opportunities out there for visualization people. This is one of the more awesome ones:
We are looking for a PhD-level researcher who is excited by data, visualization, and communication. A job candidate should have a history of designing and building innovative visualizations. An emphasis on large-scale user participation (e.g. collaboration, crowdsourcing, social communication) and on evaluation of hypotheses about user behavior is a plus. A successful candidate will have published in one or more areas of information visualization, computer-supported cooperative work, and human-computer interaction.
No more Martin and Fernanda, but still good I am sure.
Along the same lines of Dolores Labs' color experiment, Randall Munroe of xkcd reveals the results of his color survey. He took a slightly different approach though. Here are some of the basic findings:
If you ask people to name colors long enough, they go totally crazy.
“Puke” and “vomit” are totally real colors.
Colorblind people are more likely than non-colorblind people to type “fuck this” (or some variant) and quit in frustration.
Indigo was totally just added to the rainbow so it would have 7 colors and make that “ROY G. BIV” acronym work, just like you always suspected. It should really be ROY GBP, with maybe a C or T thrown in there between G and B depending on how the spectrum was converted to RGB.
A couple dozen people embedded SQL ‘drop table’ statements in the color names. Nice try, kids.
Nobody can spell “fuchsia”.
Of course, if you compare number of pallet fires to number of residential fires, the above almost seems like nothing. There were 20 major pallet fires between 2008 and 2010. There were 403,000 residential structure fires, causing an estimated $8.6 billion in damage - in 2008 alone.
While I'm sure the pallet fires caused plenty of problems, it's always good to put things in perspective.
Update: As Douglas points out, the site reeks of plastic pallet propaganda. Another case of forcing an issue by exaggerating the numbers. Tsk.
Humans make errors. We make errors of fact and errors of judgment. We have blind spots in our field of vision and gaps in our stream of attention. Sometimes we can’t even answer the simplest questions. Where was I last week at this time? How long have I had this pain in my knee? How much money do I typically spend in a day? These weaknesses put us at a disadvantage. We make decisions with partial information. We are forced to steer by guesswork. We go with our gut.
That is, some of us do. Others use data.
It all sounds great at first. But the story ends, as these types of stories almost always do, with a guy in a Google shirt walking around with one too many gadgets:
Bo Adler, a young computer scientist at Fujitsu Laboratories of America, is one of the most committed self-trackers I’ve ever met: during his most active phase he wore a blood-pressure cuff, pulse oximeter and accelerometer all day long, along with a computer on a harness to collect the data. Adler has sleep apnea, and he is trying to figure it out. When he became too self-conscious going to the gym in his gear, he wore a Google T-shirt to throw people off. Maybe he was a freak, but at least people could mistake him for a millionaire freak.
We data folk stick to our guns though:
“My girlfriend thinks I’m the weird person when I wear all these devices,” Bo Adler says. “She sees me as an oddity, but I say no, soon everybody is going to be doing this, and you won’t even notice.”
So proud. You tell 'em, Bo Adler. You tell 'em.
On June 25, 2007 I published the first FlowingData post. Today, here is the one thousandth. I asked what I should do for this special occasion and pretty much everyone said I should visualize the posts somehow, so here we go.
With the exception of the holiday gaps and the early months, I've managed to stay surprisingly consistent, yeah?
Thanks for reading, everyone. Gold star for anyone who remembers what FlowingData's theme color was in 2007.
Death and Taxes: 2011 poster - Jess' annual look at government spending has hit the shelves. Use the code 'flowingdata' at checkout for buy one, get one free.
China's investments in foreign companies - An animated map of investments from 2005 to 2009. Kind of rough around the edges, but Interesting.
Some colors represent different things in different parts of the world, while others are universal. For example, in movies, villains are almost always portrayed in black and passion is going to bring out the red. But what about death? American culture usually calls for black. Hindu calls for white. David McCandless and Always With Honor explore these differences.
In much of the same spirit of the recent Cartographies of Time, the BBC is running a series on The Beauty of Maps. They've got two branches. The first is historical, which is an exploration of some of the world's oldest existing maps. As a complement, the second is a study of digital worlds, or maps of virtual spaces.
Much like Chris Harrison's Bible viz, 140 Characters represents connections, or in this case mutual follows, with arcs. Employees are sorted by account creation date, and larger arcs represent an older employee linked with a newer one. The bar graph shows the number of tweets, relative to everyone else. For example, the engineers @al3x and @evan are quite active, along with newer employee @tiger. Good stuff.
140 Characters is meant only as something pretty to look at, but to take a step in the more analytical direction, I'd try sizing the bars by relative number of mentions between the employees. For one, you'd see who's most "popular" and second, you might start to see the conversations within the group. I'd expect @ev and @biz to have a lot of @mentions, especially during presentations. Placing employees by creation time, instead of just order, could be interesting too.
Here we have a case of worthwhile data and an interesting story about obesity trends. People are getting heavier younger. The graph was made to show this; however, it's hard to understand and kind of makes things more confusing. Can you redesign the above, using the same data, to tell the story more clearly?
This is what we know about the data. It comes from a study that took place between 1971 and 2006. We have obesity rates, separated by when study participants were born. So for example, in the above graph, the orange line shows the obesity trend for people who were born between 1956 and 1965. When that group was in between 30 and 39 years old, about 27% of them were obese.
It's a little confusing at first, but let it simmer for a little. It's actually not too bad.
Okay, now the question: are people getting fatter faster? The original graph suggests that yes, people are, but the story isn't as clear as it could be. Plus, it took 19 powerpoint slides to tell it. Your job is to put it all in one graphic. Are you up for it? I think so. Leave your suggestions and links to remakes in the comments below.
[via FD forums]
There is no way to think up an original and extraordinary design—it can only come as a result of pursuing a given task. In the same way running down a list of words is different from making a narrative.— Artemy Lebedev, Designer’s block, February 16, 2010
This applies to visualization too. When you don't have a question to answer or a simple wonderment about something, you end up staring at a bunch of numbers with no clue what to do with them. Want to test this out? Go to data.gov and make something useful.
Almost a year and a half ago, Infochimps, the data repository slash marketplace, released a giant scrape of Twitter data representing 2.7 million users, 10 million tweets, and 58 million connections. Twitter soon requested that they take it down while they figured out how they wanted to handle licensing, privacy, etc.
That was in 2008, before Twitter really started booming. Fast forward to now. Twitter and Infochimps have figured out what they want to do, and the Twitter census data is back up. It's no longer a measly 2.7 million users anymore though. The population has grown to 35 million.
It's finally here. Indiemapper brings easy and flexible thematic mapping online. I've been looking forward to this app ever since I got a glimpse of what was to come over a year ago, through the eyes of Indieprojector. The guys at Axis Maps have taken the core functionality of advanced GIS, simplified the work flow with a well-designed interface, and made it it super easy to create beautiful maps.
In reference to the above, Gen. Stanley A. McChrystal, leader of the American and NATO forces in Afghanistan, joked during a meeting, "When we understand that slide, we’ll have won the war." The rest of the NYT article goes on to describe the suck that is Powerpoint.
Is Powerpoint really that bad though? I know we like to poke fun sometimes, but is it a limitation of the software, or is it users' lack of design skills? I mean there's a site dedicated to beautiful slide decks. Browse through those, and you start to think maybe it's the latter.
So we have a chicken-and-the-egg problem. Do people just not know how to use Powerpoint or does Powerpoint push people to the bad side? Sound off in the comments below.