Difference between revisions of "Orange: Aggregate"

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Aggregate data by second, minute, hour, day, week, month, or year.
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Widget Aggregate dapat meng-agregat data berdasarkan detik, menit, jam, hari, minggu, bulan, atau tahun.
  
Inputs
 
  
    Time series: Time series as output by As Timeseries widget.
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==Input==
  
Outputs
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Time series: Time series as output by As Timeseries widget.
  
    Time series: Aggregated time series.
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==Output==
  
Aggregate joins together instances at the same level of granularity. In other words, if aggregating by day, all instances from the same day will be merged into one. Aggregation function can be defined separately based on the type of the attribute.
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Time series: Aggregated time series.
  
[[File:Aggregate-stamped.png|center|200px|thumb]]
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Widget Aggregate menggabungkan instance yang mempunyai di tingkat granularity yang sama. Dengan kata lain, jika digabungkan berdasarkan hari, semua instance dari hari yang sama akan digabung menjadi satu. Fungsi agregasi dapat didefinisikan secara terpisah berdasarkan jenis atribut.
  
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[[File:Aggregate-stamped.png|center|400px|thumb]]
  
    Interval to aggregate the time series by. Options are: second, minute, hour, day, week, month, or year.
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    Aggregation function for each of the time series in the table. Discrete variables (sequences) can only be aggregated using mode (i.e. most frequent value), whereas string variables can only be aggregated using string concatenation.
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* Interval to aggregate the time series by. Options are: second, minute, hour, day, week, month, or year.
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* Aggregation function for each of the time series in the table. Discrete variables (sequences) can only be aggregated using mode (i.e. most frequent value), whereas string variables can only be aggregated using string concatenation.
  
 
==See also==
 
==See also==

Latest revision as of 12:04, 7 April 2020

Sumber: https://orange.biolab.si/widget-catalog/time-series/aggregate/


Widget Aggregate dapat meng-agregat data berdasarkan detik, menit, jam, hari, minggu, bulan, atau tahun.


Input

Time series: Time series as output by As Timeseries widget.

Output

Time series: Aggregated time series.

Widget Aggregate menggabungkan instance yang mempunyai di tingkat granularity yang sama. Dengan kata lain, jika digabungkan berdasarkan hari, semua instance dari hari yang sama akan digabung menjadi satu. Fungsi agregasi dapat didefinisikan secara terpisah berdasarkan jenis atribut.

Aggregate-stamped.png


  • Interval to aggregate the time series by. Options are: second, minute, hour, day, week, month, or year.
  • Aggregation function for each of the time series in the table. Discrete variables (sequences) can only be aggregated using mode (i.e. most frequent value), whereas string variables can only be aggregated using string concatenation.

See also

Moving Transform


Referensi

Pranala Menarik