I was never a lover of math until I saw this.
Average length of PhD dissertations by major
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@dailydatascience
I was never a lover of math until I saw this.
Average length of PhD dissertations by major

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Where Everyone in the World is Migrating in One Gorgeous Chart
This chart expresses what I like to call, what makes the world go 'round. It represents the number of people who changed their country of origin between 2005 and 2010. The melting pot proof. Â Also, the fmr. Soviet Union really must love their own food. Â We have Vodka too!
R.I.P Retweet? Twitter Experiment Features “Share” Button Instead of “Retweet”
Throwback Thursday - Is SXSW about parties or panels?
Is SXSW about parties or panels? Looking at Twitter social data from the last 5 SXSWs, we found that by 2011, people were talking more about parties than panels.Â
A look at how SXSW serves as a barometer of trends.Â
November 2, 2012
Awesome tool by @KevinVu visualizing the successes of Pretty Little Liars by episode, and the not so successful crash of the OC. Search for your Sunday night go-to, or latest Netflix binge. Enjoy!

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Culture Shock CEO Debra Anderson and Greta Knutzen of Avenue Media, Co-founders of Big Data Society, will teach at The New School for Public Engagement in Spring 2013.  The course “The New Business of Big Data: Navigating the Dark Matter of the Digital Universe” is a timely and important new course in NSPE designed to provide a comprehensive overview of the Big Data landscape, providing practical skills and insight into global market opportunities, and is particularly valuable for supporting project and thesis work, marketing and consumer-behavior applications, urban, global, and sustainability issues, employability: there is a huge demand for these skills in the job market. For BBA students, “Big Data” is an excellent quantitative complement to Design Research Methods and Design Development. Big Data NMGT 2122 CRN 6792. Thursdays 4:00-5:50 beginning Jan 31. Open to all undergraduates; permission pending for graduate students. APPLY NOW FOR SPRING 2013. Thank you for recommending to qualifying candidates.
“This is not about algorithms. It’s not about industries. It’s just about being curious about data. And they don’t have to have a particular background. As of right now the kinds of people I’m talking to are physicists, electrical engineers, computational biologists, it’s across the board. Because they are just data people who are driven by curiosity,” Nicholson said. “Those are the best data scientists you can find."
A Data Scientist Builds His Team Emphasizing Analytical Skills over Hadoop Engineering
In 2020, the annual amount of digital data created, replicated and consumed will total more than 5,200 gigabytes for every man, woman and child on the planet, according to a new International Data Corp. report. That’s 50 times the amount of per-person data than in 2010.
Once it’s consumed, almost all of the rough information today effectively vanishes in the overall ocean of data. Yet within the data are tidbits of facts on customers, suppliers and business operations that, if linked, could prove useful or even profitable. Seeing the potential, some businesses are sizing up the trove – the data they control and other’s.
We are on the cusp of the data wars.
Developing high-value, competitive information from one’s own data will be expensive enough, but a lot of data that today is shared like almost-interesting dross will command a price. Formidable data walls will separate foe and ally alike.
Consumers will try to wall off their data too. As the value of their personal data rises, they will demand more compensation in the form of services if nothing else. This will open up new avenues of competition between companies.
» via ReadWrite
The United Nations Development Program has opened up its data for more than 6,000 development projects in 177 countries. Data visualizations galore on how the money is being spent.Â

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Does Kaggle have a vetting process?
How a monkey in a coat became an overnight social media sensation
On Sunday, December 9, the IKEA Monkey (whose actual name is Darwin) escaped from his cage inside a car in a Toronto IKEA parking lot straight into our hearts. Photos of him clad in a tiny shearling coat and diapers soon abounded on Twitter, Tumblr and across the internet. The IKEA monkey’s inevitable Twitter presence featured in the ensuing news cycle, but we haven’t read much about his presence on Tumblr. Fortunately, you have us for that! And who doesn’t want another excuse to look at an adorable monkey in a tiny little coat? Especially knowing that he’s now happily moved into the Story Book Farm Primate Sanctuary, instead of an IKEA, which are sadly not optimized for primate habitats. Yet. Let’s take a look at the little guy and see how posts about him spread across the social web. Here he is, in what might be the original photo posted by dzd_lisa on Instagram:
Isn’t he cute? That original Instagram photo was first posted to Tumblr by timeforinternet on Sunday night, December 9. After that, posts about the little monkey started to catch on across Tumblr and Twitter, with most activity happening on Monday, December 10.
On December 9, the day the monkey was first spotted at IKEA, there were only 71 posts about it on Tumblr. But on December 10, there were more than 1,100 new posts with 30,100 reblogs and 23,100 likes from more than 42,100 Tumblr users. On Twitter that same day, more than 55,700 tweets were posted from more than 44,100 unique Twitter accounts. Post volume on Tumblr peaked between 8:00 p.m. and 10:00 p.m. PST on Monday, while tweet volume on Twitter peaked between 11:00 a.m. and 1:00 p.m. PST that day.Â
Tumblr:Â 31,200 posts and reblogs, 42,100 participants
Twitter: 55,700 tweets and retweets, 44,100 participants
Since the monkey first appeared on Sunday, there have been more than 1,800 total Tumblr posts, 69,600 reblogs, and 52,800 likes from 95,500 unique Tumblr users. As is typical of Tumblr, the most popular post type about the monkey is the photo type. Of 1,834 total posts, 886 were photo posts and 698 were text posts. Many of those text-type posts also included photos, however.
Popular tags include a lot of what you would expect - monkey, ikea, lol, funny and cute, as well as some that you might not - fashion, mine and the ever-popular stylish monkey. The IKEA monkey seems practically custom made for Tumblr, falling into the network’s favorite categories - he’s a cute animal, he’s quite stylish, and he’s completely blase about how cool he is. The most popular Tumblr post about the IKEA monkey is from Tumblr user julian and features the IKEA monkey as a Marc Jacobs model. So far, this post has received more than 18,000 notes (at the time of writing), including 10,700 relobgs. Of those reblogs, only 343 were directly reblogged from the original post; more than 10,400 of those reblogs were downstream reblogs - reblogs of reblogs. This is a great example of the strength of Tumblr’s network - it only takes a few well-connected people to amplify a message far beyond its original reach. To contrast that, the most retweeted tweet about the monkey on Twitter currently has 537 retweets.Â
Why is this important? Good content can and will spread throughout Tumblr. If you’re tracking a brand or topic on Tumblr, your biggest advocates might not just be the ones with the most followers and biggest networks, but also the ones who can drive the most downstream, or amplified, reblogs. These people have the power to activate a large and diverse audience, and may prove to be your most influential fans. There’s a lot more to engagement on Tumblr than how many followers a blog has. Also, it helps if the content you’re sharing is a picture of everyone’s new favorite monkey in his tiny little coat.
A fascinating look at how a meme travels across Tumblr and Twitter. And by meme, we mean stylish monkey.Â
"I like the computational social science coinage a lot. It connotes science, big data, statistics and computation. Look for the computational social scientists of the academic world to push the frontiers of data science to the benefit of business – and for data scientists to simultaneously elevate CSS to the benefit of academia."Â
A quick three minute interview with the always awesome DJ Patil in which he uses the term "data vomit."Â

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And even on the campaign trail, data was making a difference. Ghani’s team wasn’t writing speeches or managing communications, but it was helping the people who did those things do them better. For example, he explained, Matthew Rattigan, an analyst on the team, built a tool for looking at the coverage of speeches in local newspapers so it could break down by geographic region how people reacted and which parts were quoted most. Speechwriters were therefore able to see how the messages they wanted to convey were actually the ones that were covered.
How Obama's data scientists built a volunteer army on Facebook
The Economist has an Advent calendar consisting of data visualizations. This is an advent calendar that we can get behind. Hat tip to Zach Hofer-Shall!Â