I recently had the opportunity to attend a presentation on the " justice " and " injustice " of algorithms. The concept of bias in the algorithms was raised (due to decompensated, insufficient data, etc.) and it was raised how the algorithms should be trained so that they do not pose differences in “ sensitive ” variables (age, sex, race ...) .
The CONVERT function converts an expression from one type to another.
The REMOVEFILTERS function returns all the rows in a table or all the values in one or more columns, ignoring any filters that have been applied.
The ISINSCOPE function returns the Boolean True if the column indicated as an argument is the level being considered in a hierarchy of columns, and False otherwise, which allows us to create measures that have different behavior depending on the level of the hierarchy at which are applied.
The ISONORAFTER function returns a Boolean depending on whether or not the conditions indicated for the row being considered are met.
The ROLLUPADDISSUBTOTAL function identifies a set of columns specified in the SUMMARIZECOLUMNS function for which that function should compute subtotals.
The ROLLUPGROUP function identifies a set of columns specified in the SUMMARIZE function for which that function should calculate subtotals.
The RANK.EQ function returns the rank or position of a value in a list of numbers.
The SQRTPI function returns the square root of the number passed as an argument multiplied by π (3.14159265...).
The ROW function returns a table with a single row containing the values specified as arguments.
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