O’Reilly Radar’s visualization of the week is one by Tony Hirst showing all of your Facebook friends’ likes. The best part is he tells you exactly how to do it using Gephi and Google Refine.
Jan 10
If you’ve ever wondered which neighborhood has more men or women on a given night or where all the people from different parts of town are going, Uber might have it figured out. They’ve used data from their cab service to map people flows in San Francisco.
Oct 29
ReportGrid offers an API to report or visualize anything running as SaaS. There are some examples of what ReportGrid’s Visualization Engine can do. Prices start at $50 per month. Check out the
TheNextWeb article.
Oct 25
Check out the post on the Tableau Software blog about the Iron Viz contest, a data visualization version of the cooking show, Iron Chef.
Oct 25
IBM announces a new Ipad app for Cognos today called Cognos Mobile. Check out their press release.
Oct 21
The Tableau customer conference is just ending in Las Vegas and here’s a Tableau visualization with the conference’s Twitter posts. Tableau has announced that their newest version, version 7, will feature support for Hadoop and Hive. Here’s the blog post about the demo complete with a video.
Oct 15
Sentiment analysis is a hot topic these days. Everyone is trying to figure out what customers mean in the free text data that they create – twitter, survey comments, product ratings and reviews, and more. O’Reilly Radar has picked some work done on the ultimate text source, the Bible, as their visualization of the week. OpenBible.info has just released a sentiment analysis visualization of the Bible.
Oct 06
Palantir Technologies has raised $70 million in new funds. Palantir was founded by former Paypal employees and Stanford computer scientists. Their technology is designed to make working with large volumes of easy. Right now they are focused on the government and finance markets. Check out the Techcrunch post.
Oct 06
Oct 06
Connected Action has a cool set of visuals made with network graph tool, NodeXL. They used the twitter user information for the recent attendees at the WikiSym 2011 Wiki conference and graphed out their interconnections.
Here’s a sample from NodeXL:
