Results of 1 - 3 of about 3 for pivoted (0.001 sec.)
- UNPIVOT Statement 11886
- The UNPIVOT statement allows multiple columns to be stacked into fewer columns. In the basic case, multiple columns are stacked into two columns: a NAME column (which contains the name of the source column) and a VALUE column (which contain
...20 30 40 50 60 3 cars 100 200 300 400 500 600 UNPIVOT Manually The most typical UNPIVOT transformation is to take already pivoted data and re-stack it into a column each for the name and value. In this case, all months will be stacked into a month colu...e than 2 destination columns are supported. This can be useful when the goal is to reduce the extent to which a dataset is pivoted, but not completely stack all pivoted columns. To demonstrate this, the query below will generate a dataset with a separat...e than 2 destination columns are supported. This can be useful when the goal is to reduce the extent to which a dataset is pivoted, but not completely stack all pivoted columns. To demonstrate this, the query below will generate a dataset with a separat... - https://man.mtool.work/duckdb/2.0/sql/statements/unpivot.html
- PIVOT Statement 8371
- The PIVOT statement allows distinct values within a column to be separated into their own columns. The values within those new columns are calculated using an aggregate function on the subset of rows that match each distinct value. DuckDB i
...aggregate expressions can be included in the USING clause. Multiple ON Columns and ON Expressions Multiple columns can be pivoted out into their own columns. DuckDB will find the distinct values in each ON clause column and create one new column for al...IN (⟨in_list⟩) ... GROUP BY ⟨rows⟩ ); Unlike the simplified syntax, the IN clause must be specified for each column to be pivoted. If you are interested in dynamic pivoting, the simplified syntax is recommended. Note that no commas separate the express... - https://man.mtool.work/duckdb/2.0/sql/statements/pivot.html
- FILTER Clause 7627
- The FILTER clause may optionally follow an aggregate function in a SELECT statement. This will filter the rows of data that are fed into the aggregate function in the same way that a WHERE clause filters rows, but localized to the specific
...situations where this is useful, including when evaluating multiple aggregates with different filters, and when creating a pivoted view of a dataset. FILTER provides a cleaner syntax for pivoting data when compared with the more traditional CASE WHEN ap... - https://man.mtool.work/duckdb/2.0/sql/query_syntax/filter.html
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