EXAMPLE - Numeric Functions

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Contents:

This example demonstrate the following numeric functions:

Source:

ValueA	ValueB
8	2
10	4
15	10
5	6

Transformation:

Execute the following transformation steps:

Transformation Name	`New formula`
Parameter: Formula type	`Single row formula`
Parameter: Formula	`ADD(ValueA, ValueB)`
Parameter: New column name	`'add'`

Transformation Name	`New formula`
Parameter: Formula type	`Single row formula`
Parameter: Formula	`SUBTRACT(ValueA, ValueB)`
Parameter: New column name	`'subtract'`

Transformation Name	`New formula`
Parameter: Formula type	`Single row formula`
Parameter: Formula	`MULTIPLY(ValueA, ValueB)`
Parameter: New column name	`'multiply'`

Transformation Name	`New formula`
Parameter: Formula type	`Single row formula`
Parameter: Formula	`DIVIDE(ValueA, ValueB)`
Parameter: New column name	`'divide'`

Transformation Name	`New formula`
Parameter: Formula type	`Single row formula`
Parameter: Formula	`MOD(ValueA, ValueB)`
Parameter: New column name	`'mod'`

Transformation Name	`New formula`
Parameter: Formula type	`Single row formula`
Parameter: Formula	`NEGATE(ValueA)`
Parameter: New column name	`'negativeA'`

Transformation Name	`New formula`
Parameter: Formula type	`Single row formula`
Parameter: Formula	`LCM(ValueA, ValueB)`
Parameter: New column name	`'lcm'`

Results:

With a bit of cleanup, your dataset results might look like the following:

ValueA	ValueB	lcm	negativeA	mod	divide	multiply	subtract	add
8	2	8	-8	0	4	16	6	10
10	4	20	-10	2	2.5	40	6	14
15	10	30	-15	5	1.5	150	5	25
5	6	30	-5	5	0.833333333	30	-1	11

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