Case study – finding min-max in the next n rows
In the next few sections, we will introduce some problems and our solution to them using KNIME.
Sometimes you are fine with the moving average for date type values, but in certain situations, you need the range of values for a window. In the workflow available in the sliding_minmax.zip file, we will do exactly this. We are assuming an equidistant distribution of date values in the rows; you can try to generalize to remove this restriction.
In the preceding screenshot, first (after generating some sample data) we add an ID based on the row index, then shift the content by the specified value in the
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