[tbl_votes]
- id <!-- unique id of the vote) -->
- item_id <!-- vote belongs to item <id> -->
- vote <!-- number 1-10 -->
Of course we can fix this by getting:
smallest observation
(so)lower quartile
(lq)median
(me)upper quartile
(uq)largest observation
(lo)..one-by-one using multiple queries but I am wondering if it can be done with a single query.
In Oracle I can use COUNT OVER
and RATIO_TO_REPORT
, but this is not supported in mySQL.
For those who don't know what a boxplot is: http://en.wikipedia.org/wiki/Box_plot
Any help would be appreciated.
I've found a solution in PostgreSQL using using PL/Python.
However, I leave the question open in case someone else comes up with a solution in mySQL.
CREATE TYPE boxplot_values AS (
min numeric,
q1 numeric,
median numeric,
q3 numeric,
max numeric
);
CREATE OR REPLACE FUNCTION _final_boxplot(strarr numeric[])
RETURNS boxplot_values AS
$$
x = strarr.replace("{","[").replace("}","]")
a = eval(str(x))
a.sort()
i = len(a)
return ( a[0], a[i/4], a[i/2], a[i*3/4], a[-1] )
$$
LANGUAGE 'plpythonu' IMMUTABLE;
CREATE AGGREGATE boxplot(numeric) (
SFUNC=array_append,
STYPE=numeric[],
FINALFUNC=_final_boxplot,
INITCOND='{}'
);
Example:
SELECT customer_id as cid, (boxplot(price)).*
FROM orders
GROUP BY customer_id;
cid | min | q1 | median | q3 | max
-------+---------+---------+---------+---------+---------
1001 | 7.40209 | 7.80031 | 7.9551 | 7.99059 | 7.99903
1002 | 3.44229 | 4.38172 | 4.72498 | 5.25214 | 5.98736
Source: http://www.christian-rossow.de/articles/PostgreSQL_boxplot_median_quartiles_aggregate_function.php
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With