Difference between revisions of "Orange: Aggregate"
Jump to navigation
Jump to search
Onnowpurbo (talk | contribs) |
Onnowpurbo (talk | contribs) (→Output) |
||
(3 intermediate revisions by the same user not shown) | |||
Line 2: | Line 2: | ||
− | Aggregate data | + | 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. | |
+ | [[File:Aggregate-stamped.png|center|400px|thumb]] | ||
− | + | ||
− | + | * 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== | ==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.
- 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