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MySQL Cookbook, 2nd Edition
book

MySQL Cookbook, 2nd Edition

by Paul DuBois
November 2006
Intermediate to advanced
977 pages
30h 42m
English
O'Reilly Media, Inc.
Content preview from MySQL Cookbook, 2nd Edition

Per-Group Descriptive Statistics

Problem

You want to produce descriptive statistics for each subgroup of a set of observations.

Solution

Use aggregate functions, but employ a GROUP BY clause to arrange observations into the appropriate groups.

Discussion

Calculating Descriptive Statistics shows how to compute descriptive statistics for the entire set of scores in the testscore table. To be more specific, you can use GROUPBY to divide the observations into groups and calculate statistics for each of them. For example, the subjects in the testscore table are listed by age and sex, so it’s possible to calculate similar statistics by age or sex (or both) by application of appropriate GROUPBY clauses.

Here’s how to calculate by age:

mysql>SELECT age, COUNT(score) AS n,
    -> SUM(score) AS sum,
    -> MIN(score) AS minimum,
    -> MAX(score) AS maximum,
    -> AVG(score) AS mean,
    -> STDDEV_SAMP(score) AS 'std. dev.',
    -> VAR_SAMP(score) AS 'variance'
    -> FROM testscore
    -> GROUP BY age; +-----+---+------+---------+---------+--------+-----------+----------+ | age | n | sum | minimum | maximum | mean | std. dev. | variance | +-----+---+------+---------+---------+--------+-----------+----------+ | 5 | 4 | 22 | 4 | 7 | 5.5000 | 1.2910 | 1.6667 | | 6 | 4 | 27 | 4 | 9 | 6.7500 | 2.2174 | 4.9167 | | 7 | 4 | 30 | 6 | 9 | 7.5000 | 1.2910 | 1.6667 | | 8 | 4 | 32 | 6 | 10 | 8.0000 | 1.8257 | 3.3333 | | 9 | 4 | 35 | 7 | 10 | 8.7500 | 1.2583 | 1.5833 | +-----+---+------+---------+---------+--------+-----------+----------+ ...
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Publisher Resources

ISBN: 059652708XErrata Page