Results of 1 - 3 of about 3 for quantiles (0.003 sec.)
- Aggregate Functions 11124
- 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
...s Type 7 in Hyndman & Fan (1996). If pos is a LIST of FLOAT s, then the result is a LIST of the corresponding interpolated quantiles. quantile(x, pos) Alias for quantile_disc . quantile_disc(x, pos) The discrete pos -quantile of x for 0 <= pos <= 1 . Retu...is is Type 1 in Hyndman & Fan (1996). If pos is a LIST of FLOAT s, then the result is a LIST of the corresponding discrete quantiles. regr_avgx(y, x) The average of the independent variable for non- NULL pairs, where x is the independent variable and y is...s Type 7 in Hyndman & Fan (1996). If pos is a LIST of FLOAT s, then the result is a LIST of the corresponding interpolated quantiles. | | Formula | - | quantile(x, pos) | Description | Alias for quantile_disc . | quantile_disc(x, pos) | Description | The... - https://man.mtool.work/duckdb/2.0/sql/functions/aggregates.html
- Summarize 10026
- The SUMMARIZE command can be used to easily compute a number of aggregates over a table or a query. The SUMMARIZE command launches a query that computes a number of aggregates over all columns ( min , max , approx_unique , avg , std , q25 ,
...unt ), and return these along the column name, column type, and the percentage of NULL values in the column. Note that the quantiles and percentiles are approximate values . Usage To summarize the contents of a table, use SUMMARIZE followed by the table n... - https://man.mtool.work/duckdb/2.0/guides/meta/summarize.html
- Relational API 6734
- 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
...ous quantile for. * q : float, list[float], default: 0.5 The quantile to compute, such as 0.5 for the median, or a list of quantiles. * groups : str, default: '' Comma-separated list of columns to include in the GROUP BY ; cannot be combined with window_s...ete quantile for. * q : float, list[float], default: 0.5 The quantile to compute, such as 0.5 for the median, or a list of quantiles. * groups : str, default: '' Comma-separated list of columns to include in the GROUP BY ; cannot be combined with window_s... - https://man.mtool.work/duckdb/2.0/clients/python/relational_api.html
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