Function returns the first non-missing value found in an array of columns.
The order of the columns listed in the function determines the order in which they are searched.
derive type:single value: COALESCE([col1,col2,col3]) as: 'firstValue'
Output: Generates the
firsValue column, which contains the first non-missing detected in
col3 in that order.
derive type:single value: COALESCE([col_ref1,col_ref2, col_ref3])
A reference to a single column does not require brackets. References to multiple columns must be passed to the function as an array of column names.
|col_ref1||Y||string||Name of the first column to find the first non-missing value|
|col_ref2||N||string||Name of the second column to find the first non-missing value|
|col_ref3||N||string||Name of the third column to find the first non-missing value|
Name of the column(s) searched for the first non-missing value.
|Required?||Data Type||Example Value|
|Yes||String (column reference)|
You are tracking multiple racers across multiple heats. Racers might sit out heats for various reasons.
Here's the race data.
Use the following transform to grab the first non-missing value from the Heat columns:
derive type:single value:COALESCE([Heat1, Heat2, Heat3]) as:'firstTime'