PerformancePointy: Wade Dorrell's MSDN Blog

Google charting

I was toying around with FriendFeed and discovered Google's charting engine. Mmm, pie:

The engine can render Google Analytics-esque sparklines too. The simplicity and accessibility of this API is impressive... it's all in the URL.

Now, I'm a bit agitated by this discovery, as years ago at ProClarity Greg & I built very similar to this API for doing sparklines, bullet graphs, and other datawords. I haven't shared it with you yet, and I should have. While it was no complete charting engine, and neither is Google's, our implementation was all of 300 lines of C#... so you could probably build & modify the implementation for your own specific needs pretty easily. Please let me know if you want it, and I'll throw it up on Codeplex.

The major downside of our & Google's architecture is your data is relayed in the GET URL. It's getting replicated in logs. In Google's case, it's sent naked across the Internet (invalid certificate/no HTTPS), and aggregated in Google's data centers. According to the TOS this service cannot be relied on for uptime or continued compatibility. It will break for FriendFeed someday. Of course, free isn't always free! There's definitely some reasons to figure out how to host your own implementation on LAN & with security if you're using this for sensitive data or critical applications, and I should have shared it long ago.

Published Monday, May 05, 2008 11:59 AM by Wade Dorrell

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Comments

 

Sid Atkinson said:

Wade -

Would love to see what you developed posted on codeplex.

August 31, 2008 11:56 PM
 

Kishore said:

Yes, I would love to see the code as well.

September 10, 2008 5:39 PM
 

Gary said:

Yes, I would like to see it also.

April 9, 2009 6:03 PM
 

Wade Dorrell said:

Nearly 1 year later, I still haven't done this. I'll get it up there soon.

April 9, 2009 7:25 PM

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About Wade Dorrell

I'm a Program Manager on the SharePoint BI team. I'm passionate about business intelligence blue oceans & giving business decision makers the tools + data to support decisions.

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