Difference between revisions of "Orange: Seasonal Adjustment"
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Decompose the time series into seasonal, trend, and residual components. | Decompose the time series into seasonal, trend, and residual components. | ||
| − | + | ==Input== | |
| − | + | Time series: Time series as output by As Timeseries widget. | |
| − | + | ==Output== | |
| − | + | Time series: Original time series with some additional columns: seasonal component, trend component, residual component, and seasonally adjusted time series. | |
[[File:Seasonal-adjustment-stamped.png|center|200px|thumb]] | [[File:Seasonal-adjustment-stamped.png|center|200px|thumb]] | ||
| − | + | * Length of the season in periods (e.g. 12 for monthly data). | |
| − | + | * Time series decomposition model, additive or multiplicative. | |
| − | + | * The series to seasonally adjust. | |
==Contoh== | ==Contoh== | ||
Revision as of 06:28, 30 January 2020
Sumber: https://orange.biolab.si/widget-catalog/time-series/seasonal_adjustment/
Decompose the time series into seasonal, trend, and residual components.
Input
Time series: Time series as output by As Timeseries widget.
Output
Time series: Original time series with some additional columns: seasonal component, trend component, residual component, and seasonally adjusted time series.
- Length of the season in periods (e.g. 12 for monthly data).
- Time series decomposition model, additive or multiplicative.
- The series to seasonally adjust.
Contoh
See also
Moving Transform