Entropy
Checks whether the entropy value of a column matches a given expression. Entropy measures the level of information that's contained in a message. Given the probability distribution over values in a column, entropy describes how many bits are required to identify a value.
Syntax
Entropy<COL_NAME><EXPRESSION>
COL_NAME – The name of the column that you want to evaluate the data quality rule against.
Supported column types: Any column type
EXPRESSION – An expression to run against the rule type response in order to produce a Boolean value. For more information, see Expressions.
Example: Column entropy
The following example rule checks that the column named Feedback has an
entropy value greater than one.
Entropy "Star_Rating" > 1 Entropy "First_Name" > 1 where "Customer_ID < 10"
Sample dynamic rules
Entropy "colA" < max(last(10))Entropy "colA" between min(last(10)) and max(last(10))