Time series decomposition analysis
Decompose a time series into trend, seasonal, and residual components.
Time series decomposition shows four decompositions for the measure in the selected time period:
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Observed: The measure values for the time series.
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Trend: The increasing or decreasing value as determined by the data model.
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Seasonality: The repeating short-term cycle in the series.
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Residual: Values not included in the trend. Residual shows where a model is missing more than it is finding.
You can optionally remove decompositions from the analysis.
Time series decomposition analysis

Creating time series decomposition analysis
Do the following:
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In Assets, click Analysis.
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Drag and drop Time series decomposition into the sheet.
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Click Add dimension and select a temporal dimension.
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Click Add measure and a select a measure.
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In the properties panel, under Analysis properties, optionally customize your analysis:
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To change the number of period segments, after Period segments, adjust the slider.
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To remove decompositions, after Decompositions, clear the decompositions you do not want in your analysis.
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Optionally, in the properties panel, under Appearance, adjust the appearance of the analysis.