D toc 

This section provides an overview of how to perform mathematical operations between columns.
Check Data Types
Before you begin, you should verify that the data types of the two columns match. Check the icon in the upper left of each column to verify that they match.
To change the data type, you can:
 Click the data type icon
 Select Edit data type from the column menu. See Column Menus.
Check Values
After setting data types, you should address any missing or mismatched values in the column. For example, if you change a column's data type from Decimal to Integer, values that contain decimal points may be reported as mismatched values. Use the ROUND
function to round them to the nearest integer.
D trans  


See ROUND Function.
Tip 

Tip: You can use the See FLOOR Function. See CEILING Function. 
Syntax of Math Functions
You can express mathematical operations using numeric operators or function references. The following two examples perform the same operation, creating a third column that sums the first two.
Numeric Operators:
D trans  


Math Functions:
D trans  


Info 

NOTE: Expressions containing numeric operators can contain more than two column references or values, as well as nested expressions. Math functions support two references only. 
For more information, see Numeric Operators.
For more information, see Math Functions.
Add One Column into Another
To perform math operations, you can use the set
transform to update values in a column based on a math operation. The following transform multiplies the column by 10 and adds the value of colB
:
D trans  


All values in colA
are modified based on this operation.
...
Add Selective Values from One Column into Another
You can use the set
transform to perform math operations based on a condition you define. In the following step, the Cost
column is replaced reduced by 10% if the Qty
column is more than 100. The expression is rounded down to the nearest integer, so that the type of the column (Integer) is not changed:
D trans  


For rows in which Qty
is less than 100, the value of Cost
is written back to the column (no change).
Add Two Columns into a New Third Column
To create a new column in which a math operation is performed on two other columns, use
...
the New Formula transformation. The following multiplies Qty
and UnitPrice to yield Cost:
D trans  


See Derive Transform.
Working with More than Two Columns
If you need to work with more than two columns, numeric operators allow you to reference any number of columns and static values in a single expression.
However, you should be careful to avoid making expressions that are too complex, as they can be difficult to parse and debug.
Tip 

Tip: When performing complex mathematic operations, you may want to create a new column to contain the innermost computations of your expression. Then, you can reference this column in the subsequent step, which generates the full expression. In this manner, you can build complex equations in a way that is easier to understand for other users of the recipe. The final step is to delete the generated column. 
Concatenating Columns
If you are concatenating stringbased content between multiple columns, use
...
the Merge Columns transformation The following creates a third column with a dash between the values of the two source columns:
D trans  


Tip 

Tip: This method can be used for columns of virtually any type. Change the data type of each column to String and then perform the merge operation. Array column types can be concatenated with the ARRAYCONCAT function. See ARRAYCONCAT Function. 
See Merge Transform.
Summing Rows
You can use aggregate functions to perform mathematic operations on sets of rows. Aggregated rows are collapsed and grouped based on the functions that you apply to them. See Aggregate Functions.