Revolutions

Because it's Friday: Movie Poster Cliches

The principle of "small multiples" — displaying multiple charts of the same type to compare differences — was introduced by Bill Cleveland and popularized by Edward Tufte and the "lattice" package in R. Now, the same principle is applied to movie posters in this display of "Over-Used Movie Poster Clichés":



Apparently, a couple standing back-to-back on the poster is a good indicator of a tough-love relationship between the protagonists, and an all-yellow background indicates an adorable indie-flick. Follow the link below for more examples:

FlavorWire: Visual Representations of 15 Over-Used Movie Poster Clichés

 

New R User Group in Cleveland

Another new local R user group has just started up, this time in Cleveland, OH. The Cleveland R User Group is the brainchild of R user Nicholas Hermez, and their first meeting on February 22 is a get-together to plan future topics, presenters and venues. If you're in the Cleveland area why not drop by and contribute your ideas?

By the way, don't forget that both existing R user groups and new R user groups like the Cleveland group are eligible for sponsor that sponsorships from Revolution Analytics.

MeetUp: Greater Cleveland useR Group

Statistics: one of the cool kids

As I've mentioned before, I've always found it a little awkward to introduce myself as a Statistician -- it's not exactly the greatest conversation-generator at cocktail parties (or it just turns conversation to baseball, especially post-Moneyball). So it's nice to see that this is changing, as one of my heroes in Statistics relates:

“Most of my life I went to parties and heard a little groan when people heard what I did,” says Robert Tibshirani, a statistics professor at Stanford University. “Now they’re all excited to meet me.”

I've wholeheartedly embraced "data scientist" as a term because, frankly, it's had more sex appeal than "statistician". Good to see this is changing, and now maybe I can  be an out-and-proud Statistician.

NYT Bits Blog: What Are the Odds That Stats Would Be This Popular?

 

Announcing the winners of the Applications of R in Business contest

It's with great pleasure that the team at Revolution Analytics announces the winners of the inaugural "Applications of R in Business" contest:

Grand Prize ($10,000): Shannon Terry and Ben Ogorek, Nationwide Insurance for 'A Direct Marketing In-flight Forecasting System'

Runner Up Prize ($5,000): Jeffrey Breen, Atmosphere Research Group for 'Mining Twitter for Airline Consumer Sentiment'

Congratulations to both winners, who were selected by a judging panel of industry experts, analysts, and R users. (The competition was also very close: there was only a coupe of points in the judges' aggregate scores separating the top two entries.) 

In addition, the following applications were selected for $1,000 Honorable Mention prizes by Revolution Analytics:

• Hakan Koç and Bengt Maas, Salzgitter Mannesmann Forschung GmbH: Towards an ideal steel plant - Online liquid steel temperature prediction using R
• Imre Kocsis, Kristóf Gáti, András Pataricza, and Gábor Horváth, Budapest University of Technology and Economics: Time Series Analysis and Order Prediction with R
• Stephen D. Simon, P.Mean Consulting / University of Missouri-Kansas City: Predict the duration of your clinical trial
• Shannon Terry and Ben Ogorek, Nationwide Insurance: Quantifying Uncertainty in IT Estimates
• Yihui Xie, PhD Candidate at Department of Statistics, Iowa State University: knitr: Elegant, flexible and fast dynamic report generation with R

You can learn more about all of the winning applications in the slideshow on the Applications of R in Business Contest Winners page, in the press release and in the reports in Read Write Web, Enterprise Apps Today and Information Management.

Thanks to everyone who participated in the contest. A special mention is due to Shannon Terry and Ben Ogorek, both from Customer Analytics within Nationwide Insurance. They have been gracious enough to donate both their grand prize and honorable mention prizes to charity Mid-Ohio Foodbank, a 501(c)(3) organization based in Columbus, OH and a close community partner with Nationwide Insurance, will receive $11,000 to support their efforts in hunger relief. What a wonderful contribution!

Revolution Analytics: Applications of R in Business Contest: 2012 Winners 

BBBT Podcast with David Smith

Last Friday I was fortunate enough to have the opportunity to travel to Boulder, CO and present R and Revolution Analytics to about 20 analysts as part of the Boulder BI Brain Trust (BBBT). It was a great pleasure to describe the vision for Revolution R Enterprise and got some great feedback from the particpants.

During the event, I had a great 10-minute conversation with BBBT president and founder Claudia Imhoff about the R project, how Revolution R Enterprise is used, and the future of Revolution Analytics. The podcast is now live on the web, and you can listen to it at the link below.

BBBT Podcasts: Revolution Analytics 

New R User Group in Belgium

RBelgium is the latest local R user group to join the R community. Led by R user Jean-Baptiste Poullet, the group will host meetings on the first Friday of each month at the Alfot Hotel in Brussels, as well as weekly coffee get-togethers. The group also provides an on-line discussion forum on statistics and applications with R. 

You can find more information and join the group at MeetUp site linked below.

MeetUp: RBelgium

Because it's Friday: Movie stars sing 'Hello'

This is just wonderful:

From the description, I'd assumed that the movie clips would be autotuned to the song, but that appears not to be the case. Matthijs Vlot spent a lot of time finding lines of (approximately) the right pitch here. I predict many other songs will follow in this vein.

Have a great weekend!

Vimeo: Hello from ant1mat3rie  

 

Hadley Wickham goes behind the scenes on ggplot2

Hadley Wickham, creator of the ggplot2 packages for R (as well as several others) will present a webinar on February 8 going behind the scenes of the popular graphics package. If you've never used ggplot2 before, this will be a great way to learn about the kinds of charts you can create with it; and if you're a regular ggplot2 user Hadley will give a preview of some of the new big-data visualizations coming soon to the package. Here's the webinar overview:

Date:	Wednesday, February 8, 2012
Time:	11:00AM - 12:00PM Pacific Time (Click here for time in your local time zone)
Presenter:	Hadley Wickham, Professor of Statistics, Rice University

GGplot2 is one of R’s most popular, widely used packages, developed by Rice University’s Hadley Wickham. Ggplot2’s exploratory graphics capabilities are driving the use of R as a complement to legacy analytics tools such as SAS. SAS is well-regarded for its strength in data management and "production" statistics, where you know what you want to do and need to do it repeatedly. On the other hand, R is strong in data analysis and exploration in situations where figuring out what is needed is the biggest challenge. In this important way, SAS and R are strong companions.

This webinar will provide an all-access pass to Hadley’s latest work. He’ll discuss:

• A brief overview of ggplot2, and how it's different to other plotting systems
• A sneak peek at some of the new features coming to the next version of ggplot2
• What’s been learned about good development practices in the 5 years since first starting to develop ggplot
• Some of the internals of ggplot2, and talk about how he is gradually making it easier for others to contribute

Join this webinar to understand how ggplot2 adds valuable, unmatched capabilities to your analytics toolbox. 

To register for this webinar, follow the link below.

Revolution Analytics webinars: A backstage tour of ggplot2 with Hadley Wickham

Visualize your Facebook friends network with R

A few days ago, Romain François explained how to interface with the Facebook Graph API explorer with R. This was a low-level interface, giving the R programmer the ability to the raw data that Facebook can provide about your connections. Now, just four days later, the first application in R (that I know of) based on the Facebook Graph API has been published.

Petr Simecek describes how to use R to visualize your Facebook friends as an interconnected graph. Petr uses Romain's facebook function to download the friends list via the API, and then constructs the friendship graph using the Rgraphviz package. To enhance the presentation, Petr goes one step further and downloads his friend's profile pictures (again, using the Facebook API and the download.file function), and uses the addlogo function (from the pixmap package) to decorate the nodes of the graph with faces. Here's the final result:

To find the R code to create a chart like this for your own Facebook friend network, follow the link to Petr's blog below.

Apply R: Mining Facebook Data: Most "Liked" Status and Friendship Network (via)

RInside updated

The RInside package provides C++ classes that make it easier to embed R in C++ code on many platforms. According to a post from package co-maintainer Dirk Eddelbuettel, the package has just been updated to version 0.2.6 with improved support on Windows, and compatibility with R's standard random number generator. You can download the latest version from CRAN or from the RInside homepage.

Thinking inside the box: RInside 0.2.6