If you haven't checked it out yet, you need to take a look at Seadragon. I know its from Microsoft, but I like it anyway! Seadragon is a software project to allow users to browse and zoom into high-resolution images. I'm especially attached to the iPhone version of Seadragon Mobile (link opens iTunes) available for free from iTunes!
One of the best things about the iPhone version is that it includes some example images, and includes some of the work from Chris Jordan. Longtime readers of the blog know I really like Chris Jordan's series "Running the Numbers" which uses high-resolution images to visually show the viewer statistical information about how we live.
Recently I found the Geek Charts BETA, which looks up your usernames on a few of the popular social sites, and charts out your usage. It's charting all activity within the last 30 days.
The embedded chart is also live, so it will change over time.
Now this is impressive. Chris Harrison has created the Amazon Book Map using data scraped from Amazon and which books Amazon thinks are related to each other.
Aaron Swartz, who runs theinfo.org, contacted me back in January '08 with an interesting data set. He had built a list of 735,323 books by crawling Amazon. Of course a gigantic list is pretty boring, but Aaron had also captured similarity data between books. In particular, he had amassed a whopping 10,316,775 connections (edges) between books Amazon believed were related. This allowed me to throw the data into my old wikiviz engine to spatially layout a huge mosaic of books (I let it run for a 140 hours). Items that were noted as being similar had attractive forces, bringing them together, often into large groups. Unsurprisingly, when we color coded by Amazon book category, there was an obvious coalescence. The way various high-level categorizations mix and meet also seems fairly logical.
I produced a few versions of what I am dubbing the Amazon Book Map. The first visualization is a huge mosaic of book covers, tinted by their respective category colors. I can't produce this in one go at full resolution because the memory requires are enormous. The second version uses color-coded dots.As you zoom into the image, you can see its built using the book cover images with a color overlay depicting the category of the book.
Thanks to @anniesmidt on Twitter for the link to this one!
I'm not sure I understand what Wolfram|Alpha is yet, but so far it's pretty impressive. Developed by Stephen Wolfram and his team, it claims to be a "computational knowledge engine". The input box looks like a search engine, but it is definitely NOT a search engine.
When you type in a question, it attempts to show you all of the relevant data it can find. It is actually calculating and charting this information real-time in order to present it to you. Because its built on top of the Mathematica Engine, it can also handle math problems.
I think this will be an important tool for many designers of infographics, because you can get some of your raw data directly from Wolfram|Alpha. As they add more data into the system over time, this will become one of your best resources for information. They have a pretty extensive page of examples by category that is a great place to start. Also watch the short video by Stephen Wolfram showing what the system can do.
Found on MagaMaps.com, I like the multiple elements included in this infographic. Plus, I remember this lighthouse, and I can't believe they actually moved it!
From The Odeus Skate Blog comes this timeline infographic showing the history of skateboard design. I got my first skateboard in the 70's, so it already had the kicktail, but it was still really narrow.
This is from Food & Wine magazine (Sep 2005), and I’ve kept the hardcopy of this issue for the last four years because of this illustration. I came across this magazine again today, so I thought I would share. Apparently I eat sushi completely incorrectly, so I refer back occasionally to remind myself how to eat properly. (I love mixing the wasabi into my soy sauce!)
Mmmm, fatty tuna is one of the best!
From GOOD magazine. If you look closely, this is essentially a bar chart dressed up, but it's the dressing up into the shape of the U.S. flag that catches your eye. I love it!
Immigration may have taken a back seat during the financial crisis, but the issue still needs resolving. While illegal immigrants sneaking over the border is still a primary concern, it’s good to know who came to our country legally, and from where. Our latest Transparency is a look at the 20 countries from which the most people came to America in 2008, how many immigrants already had family here, and how many received asylum when they arrived on our shores.Found on SimpleComplexity.net, thanks Nathan!
A study from Kansas State University has plotted the prevalence of the Seven Deadly Sins across the U.S. Follow the link to see all seven.
Geographers from Kansas State University did a study called "The Spatial Distribution of the Seven Deadly Sins within Nevada." They also looked at sins nationwide.Reported by the Las Vegas Sun, I found links this this on Twitter.