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Marlon Ribunal - SQL, Code, Coffee, etc.

I'm passionate about SQL Server. But I feel like I haven't reached my full potential yet. So, this is my mission: My purpose is to help people in their pursuit of growth and development; and, thereby, help myself realize my full potential as a professional, husband, father, christian, and human being.
My online presences include: Tech Blog: Marlon Ribunal - SQL, Code, Coffee, etc. Productivity & GTD Hack Blog: Productivity Bits Twitter: @MarlonRibunal

Demonstration of a simple dashboard created with the Tableau Software

Like I said on Twitter, here’s the post about the dashboard I created using Tableau, a BI visualization software. I’ve been hearing good things about Tableau from different people and from the social networks. A couple of friends from Twitter encouraged me to try it and see if I like it.

I’m impressed! And I only used the Tableau Public version, a free low-level version of the software. I’m sure I can do more powerful visualization with its full version.

This is my first taste of Tableau. I found it very interesting. And I heard it’s fast if you’re feeding a lot of data. I couldn’t test that because I’m only limited to 100,000 records in the Public version.

I’ll be digging into this. But for now, take a look at this interactive dashboard that I created. I’d say it’s not bad for the first try.

Some info on the data set used in this “first try” demo:

Name of data set: “Aircraft Wildlife Strike Data”
Description: “It contains Information Regarding wildlife strikes on aircraft either in the air or on the ground.”
Source: Data.gov

I’ll be writing about this dashboard in detail in my upcoming posts. I’ll be doing a step-by-step on this. So standby for that.

I embedded the dashboard below but it doesn’t fit very well. Go to the Tableau Public website instead to see the whole dashboard. Link here.

Here are some notes:

The dashboard shows the total number of wildlife-related aircraft incidents per state in the last 10 years (2002-2012). If you click a “dot” (representing the total number of incidents in that particular state) in the Symbol Map (top left-hand graph), the two other graphs will show corresponding data. Drilling down, if you hover on a “green bar” (representing total cost of repair per state for that particular year), you’ll see the bottom graph changes to show month-to-month patterns (months corresponding to the year in the green bar).

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