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The ISMISSING function tests whether a column of values is missing or null. For input column references, this function returns true or false . |
- You can define a conditional test in a single step for valid values. See IFMISSING Function.
- Missing values are different from null values. To test for the presence of null values exclusively, see ISNULL Function.
D lang syntax |
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RawWrangle | true |
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Type | ref |
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showNote | true |
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WrangleText | delete row:ismissing(Qty) |
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ismissing(Qty) |
Output: Returns true
if the value in the Qty
column is missing.
D lang syntax |
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RawWrangle | true |
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Type | syntax |
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showNote | true |
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WrangleText | delete value:ismissing(column_string) |
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ismissing(column_string) |
Argument | Required? | Data Type | Description |
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column_string | Y | string | Name of column or string literal to be applied to the function |
column_string
Name of the column or string literal to be tested for missing values.
- Missing literals or column values generate missing string results.
- Multiple columns are supported.
- Wildcards are not supported.
Required? | Data Type | Example Value |
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Yes | String literal or column reference | myColumn |
Example - Type check functions
Include Page |
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| EXAMPLE - Type Functions |
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| EXAMPLE - Type Functions |
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