Just days before shooting was to begin, Sony Pictures pulled the plug on “Moneyball,” a major film project starring Brad Pitt and being directed by Steven Soderbergh.

Yesterday I found it far more unsettling that such a movie would be made period, but today I’m oddly curious about how they might pull it off:

What baseball saw as accurate, Sony executives saw as being too much a documentary. Mr. Soderbergh, for instance, planned to film interviews with some of the people who were connected to the film’s story.

I guess we’ll never know, since other studios also passed on the project, but that’s probably a good thing.

As an aside, I’m in the midst of reading Liar’s Poker (another by Moneyball author Michael Lewis) and again find myself amused by his ability as a storyteller: he reminds me of a friend who can take the most banal event and turn it into the most peculiar and hilarious story you’ve ever heard.

Meanwhile, my inbox has been filling with plaintive comments like this one:

Will you be updating this site for this year? It’s the first year I think my team, the Giants would have a blue line instead of a red line.

How can I ignore the Giants fans? (Or for that matter, their neighbors to the south, the Dodgers, who perch atop the list as I write this.)

More about the project can be found in the archives. Visualizing Data explains the code and how it works, and the code itself is amongst the book examples.

I think it was those clocks and choice of cities that were memorable. It is actually One Police plaza and not the terrorism HQ on Coney Island. The photographer is Eugene Richards.

For New Yorker readers, the original article is here.

The former analyst added that his instructors had warned against committing any abuses, telling his class that another analyst had been investigated because he had improperly accessed the personal e-mail of former President Bill Clinton.

This is not isolated, and this will always be the case. From a story in The Boston Globe a month ago:

Law enforcement personnel looked up personal information on Patriots star Tom Brady 968 times - seeking anything from his driver’s license photo and home address, to whether he had purchased a gun - and auditors discovered “repeated searches and queries” on dozens of other celebrities such as Matt Damon, James Taylor, Celtics star Paul Pierce, and Red Sox owner John Henry, said two state officials familiar with the audit.

The NSA wiretapping is treated too much like an abstract operation, with most articles that describe it overloaded with talk of “data collection,” and “monitoring,” and the massive scale of data that traffics through internet service providers. But the problem isn’t the computers and data and equipment, it’s that on the other end of the line, a human being is sitting there deciding what to do with that information. Our curiosity and voyeurism leaves us fundamentally flawed for dealing with such information, and unable to ever live up to the responsibility of having that access.

The story about the police officers who are overly curious about sports stars (or soft rock balladeers) is no different from the NSA wiretapping, because it’s still people, with the same impulses, on the other end of the line. Until reading this, I had wanted to believe that NSA employees — who should truly understand the ramifications — would have been more professional. But instead they’ve proven themselves no different from a local cop who wants to know if Paul Pierce owns a gun or Matt Damon has a goofy driver’s license picture.

Asked for further comment, Illustrator responded:

CANT DO THAT. MOMMY NOOOOOO! CANT!

No doubt this is my own fault for not having upgraded to CS4. I’ll wait for CS5 when I can shell out for the privilege of using 64-bits, maybe the additional memory access will allow me to open files that worked in Illustrator 10 but no longer open on newer releases because the system (with 10x the RAM, and 5x the CPU) runs out of memory.

“They actually … attempted to downplay what the existing control center looks like, because they wanted to make it look real to the average eye as compared to… we’re pretty Star Trekky up in the new control center now.”

So that would explain the newish typeface used in the image, and the general dumbing-down of the display. The audio from the NPR story is here, with the quote near the 3:00 mark.

This is the only image I’ve been able to find of the real command center:

Links to larger/better/more descriptive images welcome!

Is this a real place? Buried within the bowels of New York City? And Mr. Washington, how about using one of your two telephones to order a new typeface for that wall? Looks like a hundred thousand dollars of display technology being used for ASCII line art.

Maybe I’ll see the original instead.

Starting May 2009, I have pledged to wear one dress for one year as an exercise in sustainable fashion. Here’s how it works: There are 7 identical dresses, one for each day of the week. Every day I will reinvent the dress with layers, accessories and all kinds of accouterments, the majority of which will be vintage, hand-made, or hand-me-down goodies. Think of it as wearing a daily uniform with enough creative license to make it look like I just crawled out of the Marquis de Sade’s boudoir.

Interesting, right? Particularly where the idea is to make the outfit new through the sort of forced creativity that comes from wearing a uniform. But also not unlike the dozens (hundreds? thousands?) of other “I’m gonna do x each day for 365 days” projects, where obsessive compulsive types take a photo, choose a Pantone swatch, learn a new word, etc. in celebration of the Earth revolving about its axis once more. Yale’s graduate graphic design program even frequents a yearly “100 day” project along these lines. (Don’t get me wrong–I’m happy to obsess and compulse with the best of them.)

But then it gets more interesting:

The Uniform Project is also a year-long fundraiser for the Akanksha Foundation, a grassroots movement that is revolutionizing education in India. At the end of the year, all contributions will go toward Akanksha’s School Project to fund uniforms and other educational expenses for slum children in India.

How cool! I love how this ties the project together. More can be found at The Uniform Project, with daily photos of Sheena’s progress. And be sure to donate.

I’m looking forward to what she has to say about what she’s learned about clothes and how you wear them after the year is complete. Ironic, that the year she wears the same thing for 365 days will be her most creative.

We just finished developing this project for GE as part of the launch of their new health care initiative. With the input and guidance of a handful of departments within the company, we began by looking at their proprietary database of 14 million patient records looking for ways to show connections between related conditions. For instance, we wanted visitors to the site to be able to learn how diabetes diagnoses increase along with obesity, but convey it in a manner that didn’t feel like a math lesson. By cycling through the eight items at the top (and the row beneath it), you can make several dozen comparisons, highlighting what’s found in actual patient data. At the bottom, some additional background is provided based on various national health care studies.

I’m excited to have the project finished and online, and have people making use of it, as I readjust from the instant gratification of building things one day and then talking about them the next day. More to come!

It’s also common for a network diagram to be engaging and attractive for its complexity (usually aided and abetted by color), which tends to hide how poorly it conveys the meaning of the data it represents.

On the other hand, Tamara Munzner is someone in visualization who really “gets” graphs in greater depth. A couple years ago she gave an excellent Google Tech Talk (looks like it was originally from another conference in ‘05), titled “15 Views of a Node Link Graph” (video, links, slides) where she discussed a range of methods for working viewing graph data, along with their pros and cons:

A cheat sheet of the 15 methods:

1. Edge List
2. Hand-Drawn
3. Dot
4. Force-Directed Placement
5. TopoLayout
6. Animated Radial Layouts
7. Constellation
8. Treemaps
9. Cushion Treemaps
10. Themescapes
11. Multilevel Call Matrices
12. SpaceTree
13. 2D Hyperbolic Trees
14. H3
15. TreeJuxtaposer

The presentation is an excellent survey of methods, and highly recommended for anyone getting started with graph and network data. It’s useful food for thought for the “how should I represent this data?” question.