# Numeric Operators

Numeric operators enable you to generate new values based on a computation (e.g. 3 + 4).

For each expression, the numeric operator is applied from left to right:

(left-hand side) (operator) (right-hand side)

These evaluations result in a numeric output, which can be an Integer or Decimal depending on the input values. The following operators are supported:

Operator Name

Symbol

Example Expression

Output

Notes

+

3 + 6

9

subtract

-

6 - 5

1

multiply

*

3 * 6

18

divide

/

25 / 5

5

modulo

%

5 % 4
1

Computes the remainder as an integer of the first parameter divided by the second parameter. Input parameters must be Integers, column references to Integers, or an expression that evaluates to an Integer.

power

pow
pow(4,3)
64

Power is implemented as a function. see POW Function.

negate

-
-myColumn

opposite of the value in myColumn

This operator supports only one operand. Parenthetical references are supported. See the example below.

The above examples apply to integer values only. Below, you can review how the comparison operators apply to different data types.

## Usage

Numeric operators are used to perform numeric manipulations on columns of data, Integer or Decimal constants, or both. Typically, they are applied in evaluations of values or rows.

Example data:

X

Y

2

1

6

4

7

10

10

0

Transformations:

Transformation Name New formula Single row formula (X + Y) 'add'
Transformation Name New formula Single row formula (X - Y) 'subtract'
Transformation Name New formula Single row formula (X * Y) 'multiply'
Transformation Name New formula Single row formula (X / Y) 'divide'
Transformation Name New formula Single row formula (X % Y) 'modulo'
Transformation Name New formula Single row formula pow(X,Y) 'power'
Transformation Name New formula Single row formula -(X-Y) 'negativeXminusY'

Results:

Your output looks like the following. Below, (null value) indicates that a null value is generated for the computation.

X

Y

subtract

multiply

divide

modulo

power

negativeXminusY

2

1

3

1

2

2

0

2

-1

6

4

10

2

24

1.5

2

1296

-3

7

10

17

-3

70

0.7

7

282475249

3

10

0

20

10

0

(null value)

(null value)

1

-10

## Examples

Tip

Note

When a numeric operator is applied to a set of values, the type of data of each source value is re-inferred to match any literal values used on the other side of the expression. This method allows for more powerful comparisons.

In the following examples, values taken from the MySource column are re-typed to match the inferred data type of the other side of the expression.

Column Type

Example Transformation

Output

Notes

Integer/Decimal

Transformation Name New formula Single row formula (MySource + 5)

Generated values are sum of values in MySource column and the constant (5 or 2.5).

Datetime

You cannot directly add Datetime values. You can use the DATEDIF function to generate the number of days difference between two date values. See DATEDIF Function.

String

• You can use the MERGE transform to concatenate columns of string values together. See Merge Transform.

• You can use the ARRAYCONCAT function to concatenate multiple columns of array type together. See ARRAYCONCAT Function.

For computational purposes, all data types not previously listed in this table behave like strings.

### subtact

Column Type

Example Transformation

Output

Notes

Integer/Decimal

Transformation Name New formula Single row formula (MySource - 5)
Transformation Name New formula Single row formula (MySource - 2.5)

Generated values are difference between values inMySource column and the constant (5 or 2.5).

Datetime

You cannot directly subtract Datetime values. You must use theDATEDIFfunction to generate the number of days difference between two date values. See DATEDIF Function.

String

You cannot differentiate strings directly.

• You can use the SUBSTRING function to locate one string within the other. If found, this function returns the index of the value in the source string where the substring is located. This index value can used as an input to the LEFT and RIGHT functions to remove the substring. See SUBSTRING Function.

For computational purposes, all data types not previously listed in this table behave like strings.

### multiply

Column Type

Example Transformation

Output

Notes

Integer/Decimal

Transformation Name New formula Single row formula (MySource * 5)
Transformation Name New formula Single row formula (MySource * 2.5)

Generated values are the product of values in the MySource column and the constant (5 or 2.5).

Datetime

N/A

String

N/A

### divide

Column Type

Example Transformation

Output

Notes

Integer/Decimal

Transformation Name New formula Single row formula (MySource / 5)
Transformation Name New formula Single row formula (MySource / 2.5)

Generated values are the values in theMySourcecolumn divided by the constant (5 or 2.5).

Datetime

N/A

String

N/A

### modulo

Column Type

Example Transformation

Output

Notes

Integer

Transformation Name New formula Single row formula (MySource % 5)

Generated values are the values in the MySource column divided by the constant (5 or 2.5).

Decimal

Transformation Name New formula Single row formula (MySource % 2.5)

Not supported. Inputs must be of Integer type.

Datetime

N/A

String

N/A