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In cases of continuous numeric data where nevertheless there are a "medium" number of distinct values, SynDiffix can end up creating substantially more distinct values than the original data.
What happens is that there are enough original distinct values that many of them have relatively low counts (10-20 say), and when combined with another column some of the values get suppressed. Then during microdata assignment, random values are assigned which are not original values, and more distinct values end up being created.
We need to do something whereby when the original data values are not suppressed, then we assign microdata only from the original values.
The text was updated successfully, but these errors were encountered:
In cases of continuous numeric data where nevertheless there are a "medium" number of distinct values, SynDiffix can end up creating substantially more distinct values than the original data.
What happens is that there are enough original distinct values that many of them have relatively low counts (10-20 say), and when combined with another column some of the values get suppressed. Then during microdata assignment, random values are assigned which are not original values, and more distinct values end up being created.
We need to do something whereby when the original data values are not suppressed, then we assign microdata only from the original values.
The text was updated successfully, but these errors were encountered: