Suppose I have a table with a numeric column (lets call it \"score\").
I\'d like to generate a table of counts, that shows how many times scores appeared in each ran
This will allow you to not have to specify ranges, and should be SQL server agnostic. Math FTW!
SELECT CONCAT(range,'-',range+9), COUNT(range)
FROM (
SELECT
score - (score % 10) as range
FROM scores
)
select t.blah as [score range], count(*) as [number of occurences]
from (
select case
when score between 0 and 9 then ' 0-9 '
when score between 10 and 19 then '10-19'
when score between 20 and 29 then '20-29'
...
else '90-99' end as blah
from scores) t
group by t.blah
Make sure you use a word other than 'range' if you are in MySQL, or you will get an error for running the above example.
An alternative approach would involve storing the ranges in a table, instead of embedding them in the query. You would end up with a table, call it Ranges, that looks like this:
LowerLimit UpperLimit Range
0 9 '0-9'
10 19 '10-19'
20 29 '20-29'
30 39 '30-39'
And a query that looks like this:
Select
Range as [Score Range],
Count(*) as [Number of Occurences]
from
Ranges r inner join Scores s on s.Score between r.LowerLimit and r.UpperLimit
group by Range
This does mean setting up a table, but it would be easy to maintain when the desired ranges change. No code changes necessary!
James Curran's answer was the most concise in my opinion, but the output wasn't correct. For SQL Server the simplest statement is as follows:
SELECT
[score range] = CAST((Score/10)*10 AS VARCHAR) + ' - ' + CAST((Score/10)*10+9 AS VARCHAR),
[number of occurrences] = COUNT(*)
FROM #Scores
GROUP BY Score/10
ORDER BY Score/10
This assumes a #Scores temporary table I used to test it, I just populated 100 rows with random number between 0 and 99.
I would do this a little differently so that it scales without having to define every case:
select t.range as [score range], count(*) as [number of occurences]
from (
select FLOOR(score/10) as range
from scores) t
group by t.range
Not tested, but you get the idea...
In postgres (where ||
is the string concatenation operator):
select (score/10)*10 || '-' || (score/10)*10+9 as scorerange, count(*)
from scores
group by score/10
order by 1
gives:
scorerange | count
------------+-------
0-9 | 11
10-19 | 14
20-29 | 3
30-39 | 2