Dashboards, Unemployment dashboards »

[2 Oct 2009 | No Comment | ]
September’s jobless rate hits 9.8%. “So what?” says the Biz Intel Guru. Go deep into today’s report with his updated unemployment dashboard

Averages have their place, but the smart money knows that insights are often buried deep in data. Check out this detailed dashboard for valuable insights that you won’t see on TV or read in the papers.

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[22 Sep 2009 | 2 Comments | ]
Promising New Visualization Developer’s Took Kit

Of all the open source developer visualization tool kits I’ve seen so far, the one I stumbled upon today (thanks Moritz Stefaner), named Protovis, seems the most practical and easy to use. Protovis comes from Stanford’s visualization group, with the help of Jeff Heer and Michael Bostock.

Below is a screen grab of some of the visualizations created using Protovis.

While there are some graphs in the examples that we might want to stay away from, those radial fan (sunburst?) type charts are just plain confusing, I think the ability …

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[15 Sep 2009 | No Comment | ]
Wonderfully funny hand-drawn graphs about sleep problems in NYTimes

Please take some time to check out this link. It’s a lot of fun, insightful, and eye-grabbing, and there are a bunch of these beautiful, hand-drawn diagrams and charts.

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[8 Sep 2009 | No Comment | ]
Interactive view (ala Touchgraph) of how each news story is related

A short summary about Slate’s fun and useful info viz tool about the News, named newsdots.

Dashboards, Showroom, Unemployment dashboards »

[31 Aug 2009 | 4 Comments | ]
The Best Insights into U.S. unemployment, revealed in this Award Winning Dashboard

What happens when you combine the Business Intelligence Guru’s mastery of information visualization and analytics with the Bureau of Labor Statistics Unemployment data? You get the most insightful, award-winning look at U.S. Unemployment you have ever seen on one page.

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[21 Jul 2009 | No Comment | ]

Click here for the full story.

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[16 Jul 2009 | No Comment | ]
Do you know the simplest, yet most overlooked lesson of Business Intelligence?

Below is a data set with 4 groupings of data and 2 columns for each grouping. The summary statistics–mean, variance, correlation, sum of squares, r², and linear regression line are the same for all 4 groupings of X and Y values. If we stopped our analysis here we could move forward confidently knowing that the 4 groups of data are the same. And we’d be dead wrong.
In my 15 years in analytics I’ve seen good analysts, time and again, stop their analytical efforts when their data summaries don’t tell a …