Computes the positive or negative sign of a given numeric value. The value can be a Decimal or Integer literal, a function returning Decimal or Integer, or a reference to a column containing numeric values. 

Column reference example:

derive type:single value:SIGN(MyInteger) as:'sign_MyInteger'

Output: Generates the new sign_MyInteger column containing the absolute value of each value found in the MyInteger column. 

Numeric literal example:

delete row:(SIGN(MyInteger) == -1)

Output: Deletes all rows from the dataset in which the sign of the entry in the MyInteger column is -1. This transform remove all rows contain negative values in the MyInteger column.

derive type:single value:SIGN(numeric_value)

ArgumentRequired?Data TypeDescription
numeric_valueYDecimal or IntegerDecimal or Integer literal, function returning Decimal or Integer, or name of column to apply to the function

numeric_value

Numeric literal, function returning numeric literal, or name of the column containg values the sign of which are to be computed.

Required?Data TypeExample Value
YesString (column reference) or Integer or Decimal value-10.5

Example - Basic SIGN function

Source:

Your source data looks like the following, which measures coordinate distances from a fixed point on a grid:

XY
-24
-6.2-2
0-4.2
44
15-0.05

Transform:

You can use the following transform to derive the sign values of these columns:

derive type:single value: SIGN(X) as: 'signX'

derive type:single value: SIGN(Y) as: 'signY'

Using these two columns, you can assign each set of coordinates into a quadrant:

case cases: [(signX == 1) && (signY == -1),'lower-right'],[(signX == 1) && (signY == 1),'upper-right'],[(signX == -1) && (signY == -1),'lower-left'],[(signX == -1) && (signY == 1),'upper-left'] default: 'line' as: 'quadrant'

Results:

XYsignXsignYquadrant
-24-11upper-left
-6.2-2-1-1lower-left
0-4.20-1line
4411upper-right
15-0.051-1lower-right