I have a dataset that contains data that needs to be preserved for e.g. clustering purposes, but whose concrete values do not matter. For example, order numbers or serial numbers with lots of accompanying measurement data. I would like to anonymize the serial numbers and order numbers, but still be able to discern measurement values that belong to the same order number or serial number. How can this be done in Orange3, preferrably w/o using Python? (In Knime Analytics there is a building block for just that.)

  • $\begingroup$ Maybe Edit Domain widget can help you. $\endgroup$
    – K3---rnc
    Mar 23, 2020 at 10:49
  • $\begingroup$ I checked it, but unfortunately I see no way to efficiently (or at all) reinterpret a string column as numeric with automated (or configurable) replacement of string values by, say, integers. $\endgroup$
    – CKO
    Mar 23, 2020 at 18:53


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