€20,000 to win in The Open Data Challenge: Get crackin’!

So you are a data enthusiast? Here is a great opportunity to get noticed…

The Open Data Challenge is a data competition organised by the Open Knowledge Foundation, in conjunction with the Openforum Academy and Share-PSI.eu.

European public bodies produce thousands upon thousands of datasets every year – about everything from how our tax money is spent to the quality of the air we breathe. With the Open Data Challenge, the Open Knowledge Foundation and the Open Forum Academy are challenging designers, developers, journalists and researchers to come up with something useful, valuable or interesting using open public data.

Everybody from the EU can submit an idea, app, visualization or dataset to the competition between 5th April and 5th June. The winners will be announced in mid June at the European Digital Assembly in Brussels. A total of €20,000 in prizes could be another motivator if you’re not convinced yet.

All entries must use or depend on open, freely reusable data from local, regional or national public bodies from European member states or from European institutions (e.g. EurostatEEA, …).

Some starting points for you to get data are http://publicdata.eu or http://lod2.okfn.org. The organisers are focused on solutions that are reusable in different countries, cover pan-European issues and use open licenses for any code, content and data. Get all the info about the competition and on how to join here.

We are very eager to see what you come up with so share your work with us in the Data Art Corner or in the comments!

 

 

Breaking Bin Laden: visualizing the power of a single tweet

The shape of rumours on Twitter by Social Flow

 

SOCIAL FLOW

A full hour before the formal announcement of Bin-Laden’s death, Keith Urbahn posted his speculation on the emergency presidential address. Little did he know that this Tweet would trigger an avalanche of reactions, Retweets and conversations that would beat mainstream media as well as the White House announcement.

Keith Urbahn wasn’t the first to speculate Bin Laden’s death, but he was the one who gained the most trust from the network. Why did this happen?

Before May 1st, not even the smartest of machine learning algorithms could have predicted Keith Urbahn’s online relevancy score, or his potential to spark an incredibly viral information flow. While politicos “in the know” certainly knew him or of him, his previous interactions and size and nature of his social graph did little to reflect his potential to generate thousands of people’s willingness to trust within a matter of minutes.

While connections, authority, trust and persuasiveness play a key role in influencing others, they are only part of a complex set of dynamics that affect people’s perception of a person, a piece of information or a product. Timing, initiating a network effect at the right time, and frankly, a dash of pure luck matter equally. [Read more…]

 

10 CHARTS ABOUT SEX [Infographics]

OWNI.EU

Data journalism can make sense out of very complicated and sometimes uncommon information. But some creative minds came up with really good data visualisation regarding our daily life activities and in this instance: Sex. So here is an article from OWNI.eu, originally published on OkCupid’s blog, dealing with many aspects of our tumultuous sex life. . . Enjoy!

This was one of the first infographics ever made:

Later remembered as “the map that made a nation cry”, it depicts Napoleon’s failed invasion of Russia in 1812. The wide tan swath shows his Grande Armée, almost half a million strong, marching East to Moscow; the black trickle shows the few who straggled back. It’s an elegant fusion of geography, time, and temperature into a single statement of military disaster.

Of course, using modern tools of analysis, like circles and the color blue, we can get an even clearer picture of history:

It is our goal today to create graphics of similar concision and power, but about something more useful than war—sex.

All the data below, even the most personal stuff, has been gleaned from real user activity on OkCupid. Some of it our users have told us outright by answering match questions; some of it we’ve had to learn from observation.

Other than the unifying theme, sex, there’s no big point or thesis to this post: just comparisons, correlations, and quirky trends.

Chart #1

We found this by crossing the match questions Do you like to exercise? and Is it difficult for you to have an orgasm?, and, as you can see, women who don’t like working out report twice the orgasm problems of women who do.

Chart #2

Here, we took a single question—Is your ideal sex rough or gentle?—and scraped people’s profile text for the words that most correlated to each answer. Here are word clouds for women and men in their 20s.

The text is basically Hot Topic versus, I dunno, Burberry. But beyond the words the interesting thing is how men’s and women’s preferences change with age:

This dataset only includes single people, of course, but I was still very surprised at how many old men like it rough. Looks like I’m going to have to rethink a cherished part of my worldview.

Chart #3

The odds shown in this chart, and the others like it later in the post, are odds “in favor”—in this case, odds in favor of being into giving oral sex. The higher a group’s odds, the more into it they are.

Since so much sexual slang involves meat—”hot dog,” “sausage,” “burger,” “beef injection,” “another beef injection,” and so on—I thought this would be a fine occasion to point out that there are plenty of veggie alternatives:

Vegetarian-Friendly Sex Slang
Peeling the banana.
Tossing the salad.
Squeezing the melons.
Zeroing in on a grown man’s nuts and nutsack.
Putting Monsanto in yoursanto.
Ordering the split pea soup.
Sorry, that’s got ham.

Cornholing others.

Charts #4 & #5

Frequent tweeters have shorter real-life relationships than everyone else, probably via some bit.ly hack. Unfortunately, we have no way to tell who’s dumping who here; whether the twitterati are more annoying or just more flighty than everyone else. There is also this:

If someone tweets every day, it’s 2-to-1 that they’re #ingthemselves just as often. Like the “shorter relationships” thing, this is true across all age and gender groups.

Chart #6:

In the Bible, in between the part where Reuben kills a he-goat so he can dip some clothes in the blood of the he-goat and where Judah tries to give Tamar a goat but decides maybe she should be burned to death instead, God kills a man named Onan because Onan intentionally spills his seed on the ground.

(1) Thou shalt not whack off. (2) Mo goats mo problems.

Life lessons! From the Iron Age!

Charts #7 & #8

This bubble chart, plotting body type, sex drive, and self-confidence, is dynamic—you can use the slider at the bottom change it. As you can see as you move the control from left to right, a woman’s sexuality peaks in her twenties, holds more or less steady for twenty years, and then falls to the floor. And while sex drive waxes and wanes, self-confidence steadily grows.

Remember, the women themselves select their body-descriptions; the bubbles show the size of each group. Though many of the words are just a shade of meaning apart, there are dramatic differences in the traits of the people who choose them. Go through the animation and compare full-figured to curvy orskinny to thin.

It’s particularly interesting to isolate skinny—a deprecating way to say something generally considered positive (being thin)—and curvy—an empowering way to say something generally considered negative (being heavy). Here are those bubbles’ complete paths across the graph:

Curvy women pass skinny ones in self-confidence at age 29 and never look back. They also consistently have the highest sex drive among the groups. Curvy, as a word, has the strongest sensual overtones of all our self-descriptions. So we’re getting a little insight into the real-world implications of a label.

This is the “complete path” plot for men:

Things to notice: (1) almost no men choose curvy or full-figured as self-descriptions, so those words aren’t plotted here; (2) men of all body types have roughly the same peak sex drive; (3) and the thing that matters most for guys is simply to not be overweight. The other four body types are clustered relatively together at most ages.

Chart #9

For this chart, we took our own data and mixed it with a little outside stuff: college tuitions from U.S. News & World Report.

Generally speaking, the more your parents are paying for your education, the more horny you are. If only Freud were still around to help us understand; instead we have psychology majors, those Adidas shower sandals, and darkness.

You can think of the dotted best-fit line as dividing the good sex-ed values (above the line) from the bad ones (below). The line also gives us a handy sliding scale: given a 36-week school year and the average partner, every $2,000 spent on your college tuition is an extra time you could be having sex that year.

Chart #10

The correlation between sex and money is robust for colleges, but it gets even stronger when extended to entire nations.

We were amazed at this result—money seems to be a more powerful influence on sex drive than culture or even religion.

You have, for example, Portugal, Oman, Slovenia, and Taiwan within a few pixels of each other on the right side of the graph, and Syria, Sri Lanka, and Guatemala almost stacked on the left, and all of them sit along the trend line.

—-

This post was originally published on OkCupid’s blog

Photo Credits: OkCupid and Flickr CC HikingArtist.com

 

The Royal Wedding: An experiment in data journalism

WANNABE HACKS: by Matthew Caines

Graph by Matthew Caines using ManyEyes

UPDATE: After having a stab at data journalism today, my first ever piece has since been featured on the MANY EYES homepage. Not too bad for first-timer…

Seeing as today is all about taking the plunge and tying the knot, I’ve been thinking about joining to someone in holy matrimony myself… to data journalism! I say taking the plunge because it’s not necessarily a match made in heaven – data journalism is something I’ve often shied away from, always assuming the tech geeks + web guys are the only ones who can do it and do it well.

My cold feet were that anyone who saw my Microsoft Word multi-coloured pie-chart would surely scoff at my horrendous attempt at interactive data. But I need this marriage to work because data journalism is fast becoming a valuable skill for any aspiring journalist. [Read more…]

 

The Social Media Buzz Behind the Royal Wedding [INFOGRAPHIC]

MASHABLE: by Ben Parr

 

Infographic from Mashable website

With hours to go until the Royal Wedding, online buzz surrounding the big event has surpassed the chatter that surrounded the Egypt uprising and the Japan earthquake.

New stats gathered and analyzed by Webtrends reveal that the world simply can’t stop talking about the Royal Wedding (not that you needed us to tell you). According to the web analytics company, people have sent 911,000 tweets in the last 30 days, or just a little more than 30,000 tweets per day, which accounts for 71% of the buzz Webtrends tracked. For comparison, there were approximately 217,000 Facebook status updates and 145,000 blog posts about William and Kate’s big day. [Read more…]

 

The 4 Golden rules to Data Journalism from the NYT

 
data visualisation by the New York Times graphics team
 
 
source: Joel Gunter from Journalism.co.uk
 

The New York Times has one of the largest, most advanced graphics teams of any national newspaper in the world. The NYT deputy graphics editor Matthew Ericson led a two-hour workshop at the International Journalism Festival last week about his team’s approach to visualising some of the data that flows through the paper’s stories everyday. Here is a short guide on how to make good data journalism…

The New York Times data team follows four golden rules:

  • Provide context
  • Describe processes
  • Reveal patterns
  • Explain the geography

Provide context

Graphics should bring something new to the story, not just repeat the information in the lead. A graphics team that simply illustrates what the reporter has already told the audience is not doing its job properly. “A graphic can bring together a variety of stories and provide context,” Ericson argued, citing the NYT’s coverage of the Fukushima nuclear crisis.

“We would have reporters with information about the health risks, and some who were working on radiation levels, and then population, and we can bring these things together with graphics and show the context.”

Describe processes

The Fukushima nuclear crisis has spurned a lot of graphics work in many news organisations across the world and Ericson explained hoe the New York Times went about it.

“As we approach stories, we are not interested in a graphic showing how a standard nuclear reactor works, we want to show what is particular to a situation and what will help a reader understand this particular new story.

Like saying: You’ve been reading about these fuel rods all over the news, this is what they actually look like and how they work.”

Reveal patterns

This is perhaps the most famous guideline in data visualisation. Taking a dataset and revealing the patterns that may tell us a story. Crime is going up here, population density down there, immigration changing over time, etc.

These so-called “narrative graphics” are very close to what we have been seeing for a while in broadcast news bulletins.

Explain geography

The final main objective was to show the audience the geographical element of stories.

Examples for this section included mapping the flooding of New Orleans following hurricane Katrina and a feature of demonstrating the size and position of the oil slick in the Gulf following the BP Deepwater Horizon accident, and comparing it with previous major oil spills.

Some of the tools in use by the NYT team, with examples:

Google Fusion Tables

Tableau Public: Power Hitters

Google Charts from New York State Test Scores – The New York Times

HTML, CSS and Javascript: 2010 World Cup Rankings

jQuery: The Write Less, Do More, JavaScript Library

jQuery UI – Home

Protovis

Raphaël—JavaScript Library

The R Project for Statistical Computing

Processing.org

Joel Gunter from Journalism.co.uk wrote a very interesting article on the workshop led by Ericson. He spoke to Ericson after the session about what kind of people make up his team (it includes cartographers!) and how they go about working on a story. Here is what he had to say.