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- FILTER Clause 12706
- 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
...e functions may be used, and multiple WHERE expressions are also permitted: SELECT sum(i) FILTER (i <= 5) AS lte_five_sum, median(i) FILTER (i % 2 = 1) AS odds_median, median(i) FILTER (i % 2 = 1 AND i <= 5) AS odds_lte_five_median FROM generate_series...(1, 10) tbl(i); lte_five_sum odds_median odds_lte_five_median 15 5.0 3.0 The FILTER clause can also be used to pivot data from rows into columns. This is a static... - https://man.mtool.work/duckdb/2.0/sql/query_syntax/filter.html
- HAVING Clause 10953
- The HAVING clause can be used after the GROUP BY clause to provide filter criteria after the grouping has been completed. In terms of syntax the HAVING clause is identical to the WHERE clause, but while the WHERE clause occurs before the gr
...0; Compute the average income per city per street_name , filtering out cities with an average income bigger than twice the median income : SELECT city, street_name, avg(income) FROM addresses GROUP BY city, street_name HAVING avg(income) > 2 * median(i... - https://man.mtool.work/duckdb/2.0/sql/query_syntax/having.html
- Aggregate Functions 8874
- Examples Produce a single row containing the sum of the amount column: SELECT sum(amount) FROM sales; Produce one row per unique region, containing the sum of amount for each group: SELECT region, sum(amount) FROM sales GROUP BY region; Ret
...ction. kurtosis(x) The excess kurtosis (Fisher's definition) with bias correction according to the sample size. mad(x) The median absolute deviation. Temporal types return a positive INTERVAL . median(x) The middle value of the set. For even value coun...osis (Fisher's definition) with bias correction according to the sample size. | | Formula | - | mad(x) | Description | The median absolute deviation. Temporal types return a positive INTERVAL . | | Formula | median(abs(x - median(x))) | median(x) | Des... - https://man.mtool.work/duckdb/2.0/sql/functions/aggregates.html
- Relational API 8711
- The Relational API builds a query one step at a time from Python. A relation, a DuckDBPyRelation , is a piece of SQL text: the methods of the Transformation and Functions sections return a new relation whose text extends the one they were c
...33.25507480069771 │ NULL │ │ min │ 1.0 │ drill │ clothing │ 7.0 │ false │ │ max │ 6.0 │ t-shirt │ tools │ 89.0 │ true │ │ median │ 3.5 │ NULL │ NULL │ 31.0 │ NULL │ └─────────┴────────────────────┴─────────┴──────────┴───────────────────┴──────────┘ d...l values present in a given expression. max Returns the maximum value present in a given expression. mean Alias of avg() . median Computes the median over all values present in a given expression. min Returns the minimum value present in a given expres...xpression: str, groups: str = '', window_spec: str = '', projected_columns: str = '') -> DuckDBPyRelation Alias of avg() . median median(self, expression: str, groups: str = '', window_spec: str = '', projected_columns: str = '') -> DuckDBPyRelation Co... - https://man.mtool.work/duckdb/2.0/clients/python/relational_api.html
- List Functions 8549
- Function Description list[index] Extracts a single list element using a (1-based) index . list[begin[:end][:step]] Extracts a sublist using slice conventions . Negative values are accepted. list1 && list2 Alias for list_has_any . list1 <->
...st_mad(list) Applies aggregate function mad to the list . list_max(list) Applies aggregate function max to the list . list_median(list) Applies aggregate function median to the list . list_min(list) Applies aggregate function min to the list . list_mod...x(list) | Description | Applies aggregate function max to the list . | | Example | list_max([3,3,9]) | | Result | 9 | list_median(list) | Description | Applies aggregate function median to the list . | | Example | list_median([3,3,9]) | | Result | 3.0...s , list_kurtosis_pop , list_min , list_max , list_product , list_skewness , list_sum , list_string_agg , list_mode , list_median , list_mad and list_histogram . SELECT list_min([1, 2, -4, NULL]); -4 SELECT list_sum([2, 4, 8, 42]); 56 SELECT list_last(... - https://man.mtool.work/duckdb/2.0/sql/functions/list.html
- Python Client API 8386
- Connection class duckdb. Appender Bases: object append_row ( self , * args ) → None Buffer one row, one value per column, each converted as an executemany parameter would be append_rows ( self , rows : object ) → None Buffer each row of an
...' ) → DuckDBPyRelation Computes the average of a given expression. Detailed examples can be found at Relational API page . median ( expression : str , groups : str = '' , window_spec : str = '' , projected_columns : str = '' ) → DuckDBPyRelation Comput...es the median over all values present in a given expression. Detailed examples can be found at Relational API page . min ( expression :...Expression The largest value. SQL: max . mean ( * args : ValueOrExpr ) → Expression The average of the values. SQL: avg . median ( * args : ValueOrExpr ) → Expression The middle value. SQL: median . min ( * args : ValueOrExpr ) → Expression The smalle... - https://man.mtool.work/duckdb/2.0/clients/python/reference/
- Tableau – A Data Visualization Tool 7265
- Tableau is a popular commercial data visualization tool. In addition to a large number of built-in connectors, it also provides generic database connectivity via ODBC and JDBC connectors. Tableau has two main versions: Desktop and Online (S
...For the Dialect, choose PostgreSQL. The rest of the fields can be ignored: However, functionality will be missing such as median and percentile aggregate functions. To make the data source connection more compatible with the PostgreSQL dialect, please... - https://man.mtool.work/duckdb/2.0/guides/data_viewers/tableau.html
- Expression API 6796
- The Expression class represents an instance of an expression . Why Would I Use the Expression API? Use expressions to build filters and computed columns in Python. They are useful when column names or conditions depend on your code. import
...ns An expression has a method for each common aggregate function, such as .sum() , .mean() , .min() , .max() , .count() , .median() , .string_agg() and .array_agg() ; fn() calls any other. col("g").arg_max(col("x")) is the value of g in the row where x... - https://man.mtool.work/duckdb/2.0/clients/python/expression.html
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