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The ADP data series dates back to January 2001.
Principal component analysis (PCA) is a method that transforms multiple data series into uncorrelated data series.
Independent component analysis (ICA) is a method that separates multiple data series into independent data series.
For the period after 1970, Piketty's data series shows rising wealth inequality using the 1% and the 10% measure, whereas Giles's data series shows falling wealth inequality.
The best data series I could find is for Argentina.
Again, Piketty corrects his data series to take account of this difference, whereas Giles does not.
Chris Giles's original blogpost contains a detailed plot of each data series.
Although the data series are incomplete, 46 events were observed.
The model demands only two input data series, precipitation and temperature and one output data series, the discharge.
Two data series representing an environmental time series and a HRV time series.
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This layer is part of USGS Data Series 781.
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