Many search terms vary in popularity over time. To find terms that vary in a similar way to your own time series, enter your data using the link above. Or take a look at these examples to see which search terms.
Google Correlate is an experimental new tool on Google Labs which lets you use the same methodology and data as Google Flu Trends.
Correlated Queries:
When you upload a data set (a time series, for instance), Google Correlate will compute the Pearson Correlation Coefficient (r) between your time series and the frequency time series for every query in our database. Correlation coefficients range from r=-1.0 to r=+1.0. The queries that Google Correlate shows you are the ones with the highest correlation coefficient (i.e. closest to r=1.0).
For example, say your data set was a sine wave from 2003-2010, so that 0.0 is the summer solstice and 1.0 is the winter solstice.
Google Correlate is an experimental new tool on Google Labs which lets you use the same methodology and data as Google Flu Trends.
Google Trends:
"mittens"
Google Correlate:
"mittens
What is Google Correlate?
Google Correlate is like Google Trends in reverse. With Google Trends, you type in a query and get back a series of its frequency (over time, or in each US state). With Google Correlate, you enter a data series (the target) and get back queries whose frequency follows a similar pattern.
Google Correlate is like Google Trends in reverse. With Google Trends, you type in a query and get back a series of its frequency (over time, or in each US state). With Google Correlate, you enter a data series (the target) and get back queries whose frequency follows a similar pattern.
Correlated Queries:
When you upload a data set (a time series, for instance), Google Correlate will compute the Pearson Correlation Coefficient (r) between your time series and the frequency time series for every query in our database. Correlation coefficients range from r=-1.0 to r=+1.0. The queries that Google Correlate shows you are the ones with the highest correlation coefficient (i.e. closest to r=1.0).
For example, say your data set was a sine wave from 2003-2010, so that 0.0 is the summer solstice and 1.0 is the winter solstice.
Week Value
1/05/03 0.983
1/12/03 0.965
1/19/03 0.939
1/26/03 0.907
2/02/03 0.869
2/09/03 0.826
2/16/03 0.778
...
Read More of Google Correlate Tutorial[Click Here]
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