The series premiere of United Stats of America (See what they did there?) on History is tonight at 10/9c.
Episodes explore the stats that help us understand how much money we make (and what we spend it on), how long we will live (and how we will die), what we do with our free time (and how to make more of it) and a whole lot more. In one episode, the Sklars explain how the deadliest animal in America is neither the snake nor the shark but rather the deer. In another, viewers learn that Americans waste 4.2 billion hours a year stuck in traffic and that, in a nation with over 3.5 million square miles of territory, 99 percent of us are crowded into only 8 percent of the land.
I watched a couple of clips and got bored quickly as they went through a bunch of numbers. It seems like a rehash of Yahoo and Huffington Post lists with jokes. I'm setting my expectations low, but maybe there'll be more to it in the full episodes.
[Thanks, Gary]
What used to be a small specialty in a few newsrooms has grown some larger wings in the past couple of years. The challenge though is that a lot of journalists aren't used to handling, let alone analyzing, a lot of data. The
The
Note from Nathan: Last week, visualization researchers from all over gathered in Providence, Rhode Island for VisWeek 2011. One of the workshops, Telling Stories with Data, focused on data as narrative and what that means for visualization. This is a guest post by the organizers:
A few months ago, a packed crowd gathered in Minneapolis for the Eyeo Festival to hear some of the best in data art, visualization, and creative code talk about what they do and how they do it. I didn't get a chance to go, but from all the chatter online during the event (and the stellar speaker lineup), I get the sense I missed something good. Luckily, some of the talks are available online.
Data and visualization blogs worth following
How recruiters look at your resume
Bed cartography
Pancake Venn
Interactive Islands of Mankind
Gender wage gap, how much less women make than men
How to Visualize and Compare Distributions
Visualize This