LESSTHANEQUAL Function
Returns true
if the first argument is less than or equal to the second argument. Equivalent to the <=
operator.
Each argument can be a literal Integer or Decimal number, a function returning a number, or a reference to a column containing numbers.
Since the function returns a Boolean value, it can be used as a function or a conditional.
注記
Within an expression, you might choose to use the corresponding operator, instead of this function. For more information, see Comparison Operators.
Wrangle vs. SQL: This function is part of Wrangle, a proprietary data transformation language. Wrangle is not SQL. For more information, see Wrangle Language.
Basic Usage
lessthanequal(myValue, maxLimit)
Output: Returns true
when the the myValue
column is less than or equal to the value in maxLimit
.
Syntax and Arguments
lessthanequal(value1, value2)
Argument | Required? | Data Type | Description |
---|---|---|---|
value1 | Y | string | The first value. This can be a number, a function returning a number, or a column containing numbers. |
value2 | Y | string | The second value. This can be a number, a function returning a number, or a column containing numbers. |
For more information on syntax standards, see Language Documentation Syntax Notes.
value1, value2
Names of the column, expressions, or literals to compare.
Missing values generate missing string results.
Usage Notes:
Required? | Data Type | Example Value |
---|---|---|
Yes | Column reference, function, or numeric or String value | myColumn |
Examples
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For additional examples, see Common Tasks.
Example - Basic Comparison Functions
This example illustrates the comparison functions in Designer Cloud.
Functions:
Item | Description |
---|---|
LESSTHAN Function | Returns |
LESSTHANEQUAL Function | Returns |
EQUAL Function | Returns |
NOTEQUAL Function | Returns |
GREATERTHAN Function | Returns |
GREATERTHANEQUAL Function | Returns |
Source:
colA | colB |
---|---|
1 | 11 |
2 | 10 |
3 | 9 |
4 | 8 |
5 | 7 |
6 | 6 |
7 | 5 |
8 | 4 |
9 | 3 |
10 | 2 |
11 | 1 |
Transformation:
Add the following transforms to your recipe, one for each comparison function:
Transformation Name | |
---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | LESSTHAN(colA, colB) |
Parameter: New column name | 'lt' |
Transformation Name | |
---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | LESSTHANEQUAL(colA, colB) |
Parameter: New column name | 'lte' |
Transformation Name | |
---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | EQUAL(colA, colB) |
Parameter: New column name | 'eq' |
Transformation Name | |
---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | NOTEQUAL(colA, colB) |
Parameter: New column name | 'neq' |
Transformation Name | |
---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | GREATERTHAN(colA, colB) |
Parameter: New column name | 'gt' |
Transformation Name | |
---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | GREATERTHANEQUAL(colA, colB) |
Parameter: New column name | 'gte' |
Results:
colA | colB | gte | gt | neq | eq | lte | lt |
---|---|---|---|---|---|---|---|
1 | 11 | false | false | true | false | true | true |
2 | 10 | false | false | true | false | true | true |
3 | 9 | false | false | true | false | true | true |
4 | 8 | false | false | true | false | true | true |
5 | 7 | false | false | true | false | true | true |
6 | 6 | true | false | false | true | true | false |
7 | 5 | true | true | true | false | false | false |
8 | 4 | true | true | true | false | false | false |
9 | 3 | true | true | true | false | false | false |
10 | 2 | true | true | true | false | false | false |
11 | 1 | true | true | true | false | false | false |
Example - Using Comparisons to Test Ranges
This example demonstrates functions for comparing the relative values of two functions.
Functions:
Item | Description |
---|---|
LESSTHANEQUAL Function | Returns |
LESSTHAN Function | Returns |
GREATERTHANEQUAL Function | Returns |
GREATERTHAN Function | Returns |
In the town of Circleville, citizens are allowed to maintain a single crop circle in their backyard, as long as it confirms to the town regulations. Below is some data on the size of crop circles in town, with a separate entry for each home. Limits are displayed in the adjacent columns, with theinclusive
columns indicating whether the minimum or maximum values are inclusive.
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As part of this exercise, you can see how to you can extend your recipe to perform some simple financial analysis of the data.
Source:
Location | Radius_ft | minRadius_ft | minInclusive | maxRadius_ft | maxInclusive |
---|---|---|---|---|---|
House1 | 55.5 | 10 | Y | 25 | N |
House2 | 12 | 10 | Y | 25 | N |
House3 | 14.25 | 10 | Y | 25 | N |
House4 | 3.5 | 10 | Y | 25 | N |
House5 | 27 | 10 | Y | 25 | N |
Transformation:
After the data is loaded into the Transformer page, you can begin comparing column values:
Transformation Name | |
---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | LESSTHANEQUAL(Radius_ft,minRadius_ft) |
Parameter: New column name | 'tooSmall' |
While accurate, the above transform does not account for the minInclusive
value, which may be changed as part of your steps. Instead, you can delete the previous transform and use the following, which factors in the other column:
Transformation Name | |
---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | IF(minInclusive == 'Y',LESSTHANEQUAL(Radius_ft,minRadius_ft),LESSTHAN(Radius_ft,minRadius_ft)) |
Parameter: New column name | 'tooSmall' |
In this case, the IF
function tests whether the minimum value is inclusive (values of 10
are allowed). If so, the LESSTHANEQUAL
function is applied. Otherwise, the LESSTHAN
function is applied. For the maximum limit, the following step applies:
Transformation Name | |
---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | IF(maxInclusive == 'Y', GREATERTHANEQUAL(Radius_ft,maxRadius_ft),GREATERTHAN(Radius_ft,maxRadius_ft)) |
Parameter: New column name | 'tooBig' |
Now, you can do some analysis of this data. First, you can insert a column containing the amount of the fine per foot above the maximum or below the minimum. Before the first derive
command, insert the following, which is the fine ($15.00
) for each foot above or below the limits:
Transformation Name | |
---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | 15 |
Parameter: New column name | 'fineDollarsPerFt' |
At the end of the recipe, add the following new line, which calculates the fine for crop circles that are too small:
Transformation Name | |
---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | IF(tooSmall == 'true', (minRadius_ft - Radius_ft) * fineDollarsPerFt, 0.0) |
Parameter: New column name | 'fine_Dollars' |
The above captures the too-small violations. To also capture the too-big violations, change the above to the following:
Transformation Name | |
---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | IF(tooSmall == 'true', (minRadius_ft - Radius_ft) * fineDollarsPerFt, if(tooBig == 'true', (Radius_ft - maxRadius_ft) * fineDollarsPerFt, '0.0')) |
Parameter: New column name | 'fine_Dollars' |
In place of the original "false" expression (0.0
), the above adds the test for the too-big values, so that all fines are included in a single column. You can reformat the fine_Dollars
column to be in dollar format:
Transformation Name | |
---|---|
Parameter: Columns | fine_Dollars |
Parameter: Formula | NUMFORMAT(fine_Dollars, '$###.00') |
Results:
After you delete the columns used in the calculation and move the remaining ones, you should end up with a dataset similar to the following:
Location | fineDollarsPerFt | Radius_ft | minRadius_ft | minInclusive | maxRadius_ft | maxInclusive | fineDollars |
---|---|---|---|---|---|---|---|
House1 | 15 | 55.5 | 10 | Y | 25 | N | $457.50 |
House2 | 15 | 12 | 10 | Y | 25 | N | $0.00 |
House3 | 15 | 14.25 | 10 | Y | 25 | N | $0.00 |
House4 | 15 | 3.5 | 10 | Y | 25 | N | $97.50 |
House5 | 15 | 27 | 10 | Y | 25 | N | $30.00 |
Now that you have created all of the computations for generating these values, you can change values forminRadius_ft
,maxRadius_ft
, andfineDollarsPerFt
to analyze the resulting fine revenue. Before or after the transform where you set the value for fineDollarsPerFt
, you can insert something like the following:
Transformation Name | |
---|---|
Parameter: Columns | minRadius_ft |
Parameter: Formula | '12.5' |
After the step is added, select the last line in the recipe. Then, you can see how the values in the fineDollars
column have been updated.