regr_count
aggregate function
Applies to: Databricks SQL Databricks Runtime 11.3 LTS and above
Returns the number of non-null value pairs yExpr
, xExpr
in the group.
Syntax
regr_count ( [ALL | DISTINCT] yExpr, xExpr ) [FILTER ( WHERE cond ) ]
This function can also be invoked as a window function using the OVER
clause.
Arguments
yExpr
: A numeric expression, the dependent variable.xExpr
: A numeric expression, the independent variable.cond
: An optional Boolean expression filtering the rows used for the function.
Returns
A BIGINT
.
regr_count(yExpr, xExpr)
is equivalent to count_if(yExpr IS NOT NULL AND xExpr IS NOT NULL)
.
If DISTINCT
is specified, only unique rows are counted.
Examples
> SELECT regr_count(y, x) FROM VALUES (1, 2), (2, 2), (2, 3), (2, 4) AS t(y, x);
4
> SELECT regr_count(y, x) FROM VALUES (1, 2), (2, NULL), (2, 3), (2, 4) AS t(y, x);
3
> SELECT regr_count(y, x) FROM VALUES (1, 2), (2, NULL), (NULL, 3), (2, 4) AS t(y, x);
2
Related
- avg aggregate function
- count aggregate function
- count_if aggregate function
- min aggregate function
- max aggregate function
- regr_avgx aggregate function
- regr_avgy aggregate function
- regr_sxx aggregate function
- regr_sxy aggregate function
- regr_syy aggregate function
- sum aggregate function
- Window functions