So what i meant to say is that the course of the data shouldn’t be changed through the action. So for example when i plot the data points over time the view of the graph should stay simliar but with the same length of data sets.
If i would shorten the data for example, it would be possible, that valuable Information is lost.
looking on the data you have duplicates in each Dataset. Do you have a reference column for e.g. relative Timescale which identify each value?
If not i have my doubts that you can manipulate this data in a meaningful way.
could you please provide each of your dataset in your example together with their time scales?
My suggestion would be on the 1st step to combine both timescales via concatenation and make them unique by removing duplicates or groub by node. As 2nd step i would join both datasets to the unique timescale with a left outer join. Now you have all data on the same scale.
You can do an interpolation for missing datapoints, but this depends on your data are they on a linear scale or not. I personally would be very careful using interpolations.
just set your time scale realtive to first record for each dataset bring your time scale in a comparable scale. You can use Date&Time difference node for calculation.