>>>>Hello,
>>>>
>>>>I have a table with 1,500 records and with one column: ID, comprised of numeric data ranging from 1 - 1,591. As the
>>>>numbers get higher, the frequency of their appearance increases. But what's important, is not so much any given value
>>>>but how many numbers appear within a given range. And yes, I am trying to figure out a cutoff point that will separate
>>>>this table into the numbers that appear with the highest frequency (they happen to be larger numbers, in this table)
>>>>and numbers that appear less frequently (they happen to be smaller numbers.)
>>>>So, I want to know if certain values appear more often than others, kind of like a heat map, except the response would
>>>>be in a tabular form rather than in graphic.. Is there a way to use an SQL statement to do this? Can I preselect
>>>>the number of ranges and their size, for example: break the table up into 20 ranges. But I can't know
>>>>which values each of the 20 ranges will have in advance? I know it's a vague question but I wondered
>>>>what you all might say as this kind of question is coming up a lot.
>>>>
>>>>Thank you,
>>>>Steve
>>>
>>>Hi, Steve,
>>>
>>>Can you post the table structure (at least for the relevant columns)?
>>
>>table name: MY_IDS
>>field name: ID
>>data type: numeric
>>range of values in ID: 1 - 1,591
>>number of rows: 1,500
>>
>>(I tried to upload the dbf but the system won't allow it.)
>
>Try
>

>;with counts as (select Id, count(Id) as frequency
>from My_IDS
>group by Id)
>
>select *, NTILE(5) OVER (order by Frequency)
>from counts -- group into 5 different buckets in order of the frequency

>
>The above is for SQL Server.

Naomi, Is the first line missing something, since it begins with:

;with counts as (select Id, count(Id) as frequency

Thanks, Steve