Generates the count of distinct values in a specified colum= n, optionally counted by group. Generated value is of Integer type.

**NOTE: **Empty string values are counted. Null values are =
not counted.

**NOTE: **When added to a transformation, the function calc=
ulates the number of distinct values in the specified column, as displayed =
in the current sample. Counts are not applied to the entire dataset until y=
ou run the job. If you change your sample or run the job, the computed valu=
es for this function are updated. Transformations that change the number of=
rows in subsequent recipe steps do not affect the value for the already co=
mputed instance of `COUNTDISTINCT`

.

**Wrangle vs. SQL:** This function is part of Wrangle , a proprietary data transformation language.=
Wrangle is not SQL. For more information, se=
e Wrangle Language.

countdistinct(name)

**Ou=
tput:** Returns the count of distinct values in the `name`

column.

countdistinct(function_col_ref) [group:gro= up_col_ref] [limit:limit_count]

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Argument | Required? | Data Type | Description |
---|---|---|---|

function_col_ref | Y | string | Name of column to which to apply the function |

For more information on the `group`

and ```
l=
imit
```

parameter, see Pivot Transform.

Name of the column from which to count values based on the grouping.

- Literal values are not supported as inputs.
- Multiple columns and wildcards are not supported.

**Usage Notes:**

Required? | Data Type | Example Value |
---|---|---|

Yes | String (column reference) | `myValues` |

**Tip:** For additional examples, see Common Tasks.

This section provides simple examples for how to use the `COUNTA and `

`COUNTDISTINCT`

functions. These functions in=
clude the following:

```
```
`COUNTA`

- Count the number of values within a group th=
at meet a specific condition. See =
COUNTA Function.
`COUNTDISTINCT`

- Count the number of non-null values w=
ithin a group that meet a specific condition. See COUNTDISTINCT Function.

**Source:**

In the following example, the seventh row is an empty string, and the ei=
ghth row is a null value.

rowId
Val
r001
val1
r002
val1
r003
val1
r004
val2
r005
val2
r006
val3
r007
(empty)
r008
(null)

**Transformation:**

Apply a `COUNTA`

function on the source column:

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Transformation Name <=
code>New formula Parameter: Formula type `Single row formula`

Parameter: Formula `COUNTA(Val)`

Parameter: New column name `'fctnCounta'`

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Apply a `COUNTDISTINCT`

function on the source:

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Transformation Name <=
code>New formula Parameter: Formula type `Single row formula`

Parameter: Formula `COUNTDISTINCT(Val)`

Parameter: New column name `'fctnCountdistinct'`

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**Results:**

Below, both functions count the number of values in the column, with&nbs=
p;`COUNTDISTINCT`

counting distinct values only. The empty value=
for `r007`

is counted by both functions.

rowId
Val
fctnCountdistinct
fctnCounta
r001
val1
4
7
r002
val1
4
7
r003
val1
4
7
r004
val2
4
7
r005
val2
4
7
r006
val3
4
7
r007
(empty)
4
7
r008
(null)
4
7

=20

```
------=_Part_46647_177417678.1634344992341--
```