Contents:
Depending on the data type, you can compare values in separate columns or single columns against fixed values.
Compare Numeric Values
You can use basic comparison operators to perform comparisons on your data. In this example, the compareCol column is generated as the evaluation of 3 < 6
, which is true
:
Transformation Name | New formula |
---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | (3 < 6) |
Parameter: New column name | 'compareCol' |
For more information, see Comparison Operators.
Compare Boolean Values
Boolean values can be true
or false
, so comparisons like the following can be applied to a Boolean set of values:
Transformation Name | Edit column with formula |
---|---|
Parameter: Columns | Attendance |
Parameter: Formula | IF(isSeated == true,true,Attendance) |
In the above case, the value in Attendance
is set to true
if the value in the isSeated
column is true
. Otherwise, the current value in Attendance
is used.
Compare Date Values
You can use the DATEDIF
function to compare two date values, as in the following, which compares the number of days between startCol
and endCol
values:
NOTE: Both parameters of the DATEDIF
function must be column references containing valid date values.
Transformation Name | New formula |
---|---|
Parameter: Formula type | Single row formula |
Parameter: Formula | DATEDIF(startCol, endCol, 'day') |
Parameter: New column name | 'DurationInDays' |
See DATEDIF Function.
Compare String Values
For string values, you can use the string comparison functions to check how strings compare using Latin collation settings.
Tip: Any column can be converted to String data type to use these functions.
Available functions:
- STRINGLESSTHAN Function
- STRINGLESSTHANEQUAL Function
- STRINGGREATERTHAN Function
- STRINGGREATERTHANEQUAL Function
For more information on collation, see String Collation Rules.
You can also use the following functions to evaluate sub-strings within a string which can be compared to other values:
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