Excerpt 

The IF function allows you to build if/then/else conditional logic within your transforms. 
Info 

NOTE: The IF function is interchangeable with ternary operators. You should use this function instead of ternary construction. 
Example:
D lang syntax 

RawWrangle  true 

Type  ref 

showNote  true 

WrangleText  derive type:single value:if(State == 'NY','New York, New York!','some other place') as:'isNewYork' 


if(State == 'NY','New York, New York!','some other place') 
Output: If the value in the State
column is NY
, return the value New York, New York!
. Otherwise, the returned valueis some other place
.
Nested IF Example:
You can build IF
statements within IF
statements as in the following example, in which the second IF
is evaluated if the first one evaluates to false
:
D lang syntax 

RawWrangle  true 

Type  ref 

showNote  true 

WrangleText  derive type:single value:if(State == 'NY',0.05,if(State=='CA',0.08,0)) as:'CoTaxRatesByState' 


if(State == 'NY',0.05,if(State=='CA',0.08,0)) 
A more detailed nested example is available below.
In the following, if the test expression
evaluates to true
, the true_expression
is executed. Otherwise, the false_expression
is executed.
D lang syntax 

RawWrangle  true 

Type  syntax 

showNote  true 

WrangleText  if(test_expression, true_expression,false_expression) 


if(test_expression, true_expression,false_expression) 
Argument  Required?  Data Type  Description 

test_expression  Y  string  Expression that is evaluated. Must resolve to true or false 
true_expression  Y  string  Expression that is executed if test_expression is true 
false_expression  N  string  Expression that is executed if test_expression is false 
All of these expressions can be constants (strings, integers, or any other supported literal value) or sophisticated elements of logic, although the test expression must evaluate to a Boolean value.
test_expression
This parameter contains the expression to evaluate. This expression must resolve to a Boolean (true
or false
) value.
Required?  Data Type  Example Value 

Yes  String (expression that evaluates to true or false  (LastName == 'Mouse' && FirstName == 'Mickey') 
true_expression, false_expression
The true_expression
determines the value or conditional that is generated if the test_expression
evaluates to true
. If the test is false
, then the false_expression
applies.
These expressions typically generate output values and can use a combination of literals, functions, and column references.
 A true expression is required. You can insert a blank expression (
""
).  If a false expression is not provided, false results yield a value of
false
.
Required?  Data Type  Example Value 

Yes  String (expression)  See examples below. 
Example  Basic Usage
Example data:
X  Y 

true  true 
true  false 
false  true 
false  false 
Transformation:
D trans 

RawWrangle  true 

p03Value  'equals' 

Type  step 

WrangleText  derive type:single value:if((X == Y), 'yes','no') as: 'equals' 

p01Name  Formula type 

p01Value  Single row formula 

p02Name  Formula 

p02Value  if((X == Y), 'yes','no') 

p03Name  New column name 

SearchTerm  New formula 


Results:
Your output looks like the following:
X  Y  equals 

true  true  yes 
true  false  no 
false  true  no 
false  false  yes 
Example  Stock Quotes
This example demonstrates how you can chain together multiple if/then/else conditions within a single transform step.
You have a set of stock prices that you want to analyze. Based on a set of rules, you want to determine any buy, sell, or hold action to take.
Source:
Ticket  Qty  BuyPrice  CurrentPrice 

GOOG  10  705.25  674.5 
FB  100  84.00  101.125 
AAPL  50  125.25  97.375 
MSFT  100  38.875  45.25 
Transformation:
You can perform evaluations of this data using the IF
function to determine if you want to take action.
Info 

NOTE: For a larger dataset, you might maintain your buy, sell, and hold evaluations for each stock in a separate reference dataset that you join to the source dataset before performing comparisons between column values. See Join Window. 
To assist in evaluation, you might first want to create columns that contain the cost (Basis
) and the current value (CurrentValue
) for each stock:
D trans 

RawWrangle  true 

p03Value  'Basis' 

Type  step 

WrangleText  derive type:single value:(Qty * BuyPrice) as:'Basis' 

p01Name  Formula type 

p01Value  Single row formula 

p02Name  Formula 

p02Value  (Qty * BuyPrice) 

p03Name  New column name 

SearchTerm  New formula 


D trans 

RawWrangle  true 

p03Value  'CurrentValue' 

Type  step 

WrangleText  derive type:single value:(Qty * CurrentPrice) as:'CurrentValue' 

p01Name  Formula type 

p01Value  Single row formula 

p02Name  Formula 

p02Value  (Qty * CurrentPrice) 

p03Name  New column name 

SearchTerm  New formula 


Now, you can build some rules based on the spread between Basis
and CurrentValue
.
Single IF
version: In this case, the most important action is determining if it is time to sell. The following rule writes a sell
notification if the current value is $1000 or more than the cost. Otherwise, no value is written to the action column.
D trans 

RawWrangle  true 

p03Value  'action' 

Type  step 

WrangleText  derive type:single value: if((CurrentValue  1000 > Basis), 'sell','') as:'action' 

p01Name  Formula type 

p01Value  Single row formula 

p02Name  Formula 

p02Value  if((CurrentValue  1000 > Basis), 'sell','') 

p03Name  New column name 

SearchTerm  New formula 


Nested IF
version: But what about buying more? The following transform is an edit to the previous one. In this new version, the sell test is performed, and if false
, writes a buy
action if the CurrentPrice
is within 10% of the BuyPrice
.
This second evaluation is performed after the first one, as it replaces the else clause, which did nothing in the previous version. In the Recipe Panel, click the previous transform and edit it, replacing it with the new version:
D trans 

RawWrangle  true 

p03Value  'action' 

Type  step 

WrangleText  derive type:single value: if((CurrentValue  1000 > Basis), 'sell', if((abs(CurrentValue  Basis) <= (Basis * 0.1)),'buy','hold')) as:'action' 

p01Name  Formula type 

p01Value  Single row formula 

p02Name  Formula 

p02Value  if((CurrentValue  1000 > Basis), 'sell', if((abs(CurrentValue  Basis) <= (Basis * 0.1)),'buy','hold')) 

p03Name  New column name 

SearchTerm  New formula 


If neither test evaluates to true
, the written action is hold
.
You might want to format some of your columns using dollar formatting, as in the following:
Info 

NOTE: The following formatting inserts a dollar sign ($) in front of the value, which changes the data type to String. 
D trans 

RawWrangle  true 

Type  step 

WrangleText  set col:BuyPrice value:numformat(BuyPrice, '$ ##,###.00') 

p01Name  Columns 

p01Value  BuyPrice 

p02Name  Formula 

p02Value  numformat(BuyPrice, '$ ##,###.00') 

SearchTerm  Edit column with formula 


Results:
After moving your columns, your dataset should look like the following, if you completed the number formatting steps:
Ticket  Qty  BuyPrice  CurrentPrice  Basis  CurrentValue  action 

GOOG  10  705.25  $ 674.50  $ 7,052.50  $ 6,745.00  buy 
FB  100  84.00  $ 101.13  $ 8,400.00  $ 10,112.50  sell 
AAPL  50  125.25  $ 97.38  $ 6,262.50  $ 4,868.75  hold 
MSFT  100  38.88  $ 45.25  $ 3,887.50  $ 4,525.00  hold 