I thought the example Doug sent was a correlation between the frequency
of search terms, not with any actual real data. I always thought
correlating time based data was difficult since as usage rises in
general one might expect search term frequency to rise together too.
Real statisticians can chime in here.
'santa fe' was interesting in showing an annual cycle presumably
corresponding to people's interest in finding info on a tourist
destination.
Drawing was interesting in that it seems one could always find some
search term frequencies to correlate with any shape curve.
Conclusion: it was fun.
Thanks
Robert C
On 9/30/11 2:36 PM, Douglas Roberts wrote:
That's the one I was using, Tom.
--Doug
On Fri, Sep 30, 2011 at 2:34 PM, Tom Johnson <[email protected]
<mailto:[email protected]>> wrote:
Is this any help? https://www.google.com/trends/correlate/
-tj
On Fri, Sep 30, 2011 at 9:53 AM, Douglas Roberts
<[email protected] <mailto:[email protected]>> wrote:
Has anybody been able to get anything useful out of that
thing? Most of the items I've searched for return totally
bizarre results. For example, searching on ibuprofen with the
intent to see any correlations with influenza give this as one
of the higher-correlated results:
http://www.google.com/trends/correlate/search?e=ibuprofen&e=gateway+bible&t=weekly
<http://www.google.com/trends/correlate/search?e=ibuprofen&e=gateway+bible&t=weekly>
WTF? Does this show that on-line religion causes headaches?
Seriously, has anybody found this tool to be of any practical
use?
--Doug
--
Doug Roberts
[email protected] <mailto:[email protected]>
[email protected] <mailto:[email protected]>
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J. T. Johnson
Institute for Analytic Journalism -- Santa Fe, NM USA
www.analyticjournalism.com <http://www.analyticjournalism.com>
505.577.6482 <tel:505.577.6482>(c) 505.473.9646 <tel:505.473.9646>(h)
http://www.jtjohnson.com [email protected] <mailto:[email protected]>
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Doug Roberts
[email protected] <mailto:[email protected]>
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Robert Cordingley
Web Development
cirrillian.com
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