Row Sampling

This node extracts a sample (a bunch of rows) from the input data. The dialog enables you to specify the sample size. The following options are available in the dialog:

Options

Absolute: Specify the absolute number of rows in the sample. If there are less rows than specified here, all rows are used.
Relative: The percentage of the number of rows in the sample. Must be between 0 and 100, inclusively.
Take from top: This mode selects the top most rows of the table.
Linear sampling: This mode always includes the first and the last row and selects the remaining rows linearly over the whole table (e.g. every third row). This is useful to downsample a sorted column while maintaining minimum and maximum value.
Draw randomly: Random sampling of all rows, you may optionally specify a fixed seed (see below).
Stratified sampling: Check this button if you want stratified sampling, i.e. the distribution of values in the selected column is (approximately) retained in the output table. You may optionally specify a fixed seed (see below).
Use random seed: If either random or stratified sampling is selected, you may enter a fixed seed here in order to get reproducible results upon re-execution. If you do not specify a seed, a new random seed is taken for each execution.

Input Ports

: Table to sample from.

Output Ports

: The sampled table.

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