Difference between revisions of "Orange: Aggregate"
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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. | 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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| + | [[File:Aggregate-stamped.png|center|200px|thumb]] | ||
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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 | + | ==See also== |
Moving Transform | Moving Transform | ||
Revision as of 18:55, 26 January 2020
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