Orange: Aggregate - Revision history

Onnowpurbo: /* Output */

2020-04-07T05:04:01Z

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Onnowpurbo: /* Output */

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Onnowpurbo at 04:56, 7 April 2020

2020-04-07T04:56:15Z

Onnowpurbo at 23:27, 29 January 2020

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Onnowpurbo at 11:55, 26 January 2020

2020-01-26T11:55:49Z

Onnowpurbo: Created page with "Sumber: https://orange.biolab.si/widget-catalog/time-series/aggregate/ Aggregate data by second, minute, hour, day, week, month, or year. Inputs Time series: Time seri..."

2020-01-20T03:24:47Z

Created page with "Sumber: https://orange.biolab.si/widget-catalog/time-series/aggregate/ Aggregate data by second, minute, hour, day, week, month, or year. Inputs Time series: Time seri..."

New page

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

Aggregate data by second, minute, hour, day, week, month, or year.

Inputs

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

Outputs

Time series: Aggregated time series.

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.

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==

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

==Pranala Menarik==

* [[Orange]]

@@ Line 13: / Line 13: @@
   Time series: Aggregated time series.
-Widget Agregat 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.
+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.
 [[File:Aggregate-stamped.png|center|400px|thumb]]

@@ Line 13: / Line 13: @@
   Time series: Aggregated time series.
-Agregat bergabung bersama 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.
+Widget Agregat 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.
 [[File:Aggregate-stamped.png|center|400px|thumb]]

@@ Line 2: / Line 2: @@
-Aggregate data by second, minute, hour, day, week, month, or year.
+Widget Aggregate dapat meng-agregat data berdasarkan detik, menit, jam, hari, minggu, bulan, atau tahun.
 ==Input==
@@ Line 12: / Line 13: @@
   Time series: Aggregated time series.
-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.
+Agregat bergabung bersama 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.
-[[File:Aggregate-stamped.png|center|200px|thumb]]
+[[File:Aggregate-stamped.png|center|400px|thumb]]

@@ Line 4: / Line 4: @@
 Aggregate data by second, minute, hour, day, week, month, or year.
-Inputs
+==Input==
-    Time series: Time series as output by As Timeseries widget.
+ Time series: Time series as output by As Timeseries widget.
-Outputs
+==Output==
-    Time series: Aggregated time series.
+ Time series: Aggregated time series.
 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.
@@ Line 17: / Line 17: @@
-    Interval to aggregate the time series by. Options are: second, minute, hour, day, week, month, or year.
+* 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.
+* 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==