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Asked: 2026-06-13T14:10:11+00:00

Here’s my table ‘tab_test’: year animal price 2000 kittens 79 2000 kittens 93 2000

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Here’s my table ‘tab_test’:

year    animal  price
2000    kittens 79
2000    kittens 93
2000    kittens 100
2000    puppies 15
2000    puppies 32
2001    kittens 31
2001    kittens 17
2001    puppies 65
2001    puppies 48
2002    kittens 84
2002    kittens 86
2002    puppies 15
2002    puppies 95
2003    kittens 62
2003    kittens 24
2003    puppies 36
2003    puppies 41
2004    kittens 65
2004    kittens 85
2004    puppies 58
2004    puppies 95
2005    kittens 45
2005    kittens 25
2005    puppies 15
2005    puppies 35
2006    kittens 50
2006    kittens 80
2006    puppies 95
2006    puppies 49
2007    kittens 40
2007    kittens 19
2007    puppies 81
2007    puppies 38
2008    kittens 37
2008    kittens 51
2008    puppies 29
2008    puppies 72
2009    kittens 84
2009    kittens 26
2009    puppies 49
2009    puppies 34
2010    kittens 75
2010    kittens 96
2010    puppies 18
2010    puppies 26
2011    kittens 35
2011    kittens 21
2011    puppies 90
2011    puppies 18
2012    kittens 12
2012    kittens 23
2012    puppies 74
2012    puppies 79

Here’s some code that transposes the rows and columns so I get an average for ‘kittens’ and ‘puppies’:

SELECT
    year,
    AVG(CASE WHEN animal = 'kittens' THEN price END) AS "kittens",
    AVG(CASE WHEN animal = 'puppies' THEN price END) AS "puppies"
FROM tab_test
GROUP BY year
ORDER BY year;

The output for the code above is:

    year    kittens puppies
    2000    90.6666666666667    23.5
    2001    24.0    56.5
    2002    85.0    55.0
    2003    43.0    38.5
    2004    75.0    76.5
    2005    35.0    25.0
    2006    65.0    72.0
    2007    29.5    59.5
    2008    44.0    50.5
    2009    55.0    41.5
    2010    85.5    22.0
    2011    28.0    54.0
    2012    17.5    76.5

What I’d like is a table like the second one, but it would only contain items which had a COUNT() of at least 3 in the first table. In other words, the goal is to have this as output:

year    kittens
2000    90.6666666666667

There were at least 3 instances of ‘kitten’ in the first table.
Is this possible in PostgreSQL?

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1 Answer

  1. Editorial Team

    Here’s an alternative to @bluefeet’s suggestion, which is somewhat similar but avoids the join (instead, the upper level grouping is applied to the already grouped result set):

    SELECT
  year,
  MAX(CASE animal WHEN 'kittens' THEN avg_price END) AS "kittens",
  MAX(CASE animal WHEN 'puppies' THEN avg_price END) AS "puppies"
FROM (
  SELECT
    animal,
    year,
    COUNT(*) AS cnt,
    AVG(Price) AS avg_price
  FROM tab_test
  GROUP BY
    animal,
    year
) s
WHERE cnt >= 3
GROUP BY
  year
;
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