Difference between revisions of "Orange: Seasonal Adjustment"
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==Contoh== | ==Contoh== | ||
| − | Dalam contoh di bawah ini, dataset di load menggunakan widget File. Data tersebut di konversikan menjadi time series menggunakan widget As Timeseries | + | Dalam contoh di bawah ini, dataset airpassengers dari addon time series di load menggunakan widget File. Data tersebut di konversikan menjadi time series menggunakan widget As Timeseries. Time series airpassengers yang dihasilkan widget As Timeseries kemudian di masukan ke widget Seasonal Adjustment untuk memperoleh seasonal data. Hasilnya dimasukan ke widget Line Chart untuk bisa di evaluasi. |
[[File:Seasonal-adjustment-ex1.png|center|600px|thumb]] | [[File:Seasonal-adjustment-ex1.png|center|600px|thumb]] | ||
Revision as of 15:42, 7 April 2020
Sumber: https://orange.biolab.si/widget-catalog/time-series/seasonal_adjustment/
Widget Seasonal Adjustment melakukan dekomposisi sebuah time series menjadi komponen seasonal, trend, dan residual.
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
Dalam contoh di bawah ini, dataset airpassengers dari addon time series di load menggunakan widget File. Data tersebut di konversikan menjadi time series menggunakan widget As Timeseries. Time series airpassengers yang dihasilkan widget As Timeseries kemudian di masukan ke widget Seasonal Adjustment untuk memperoleh seasonal data. Hasilnya dimasukan ke widget Line Chart untuk bisa di evaluasi.
See also
Moving Transform