Listing distinct values in a column and the no. of their occurrences

  • Hi all
    This seemingly simple piece of code has thrown me - (and I've been working with TSQL a few years!!)

     I have an (NVarchar) column called 'Notes' . here's some sample data..

    Attended - Monday Adult
    Attended - Monday Adult
    Attended - Monday Inter/
    Attended - Monday Inter/
    Attended - Tuesday Adult

    So, the desired output should look like this..

    '
    Attended - Monday Adult -2
    Attended - Monday Inter/ - 2
    Attended - Tuesday Adult - 1
    Etc....

    Here's the monkey's breakfast I've made of it so far...

    SELECT  Replace(Date, '00:00:00.0000000','' ) As 'Date', COUNT(DISTINCT notes) As 'Class' ,  Count (Distinct 'Class') As Attendees--
     ,Notes AS [Type]   --(Apart from the date which maybe needed to group, I think the entire Select section needs rework)
    From Logs
    Where Notes like '%Attended -%'   --and Date like '2011%'
    Group by   date
    --Order by 'Attendees' desc

    TIA 🙂

  • JaybeeSQL - Tuesday, April 17, 2018 1:02 PM

    Hi all
    This seemingly simple piece of code has thrown me - (and I've been working with TSQL a few years!!)

     I have an (NVarchar) column called 'Notes' . here's some sample data..

    Attended - Monday Adult
    Attended - Monday Adult
    Attended - Monday Inter/
    Attended - Monday Inter/
    Attended - Tuesday Adult

    So, the desired output should look like this..

    '
    Attended - Monday Adult -2
    Attended - Monday Inter/ - 2
    Attended - Tuesday Adult - 1
    Etc....

    Here's the monkey's breakfast I've made of it so far...

    SELECT  Replace(Date, '00:00:00.0000000','' ) As 'Date', COUNT(DISTINCT notes) As 'Class' ,  Count (Distinct 'Class') As Attendees--
     ,Notes AS [Type]   --(Apart from the date which maybe needed to group, I think the entire Select section needs rework)
    From Logs
    Where Notes like '%Attended -%'   --and Date like '2011%'
    Group by   date
    --Order by 'Attendees' desc

    TIA 🙂

    Not only have you been working with SQL for a few years, you've been here long enough to know that you should provide your sample data in a consumable format, for the best response rate.

    The absence of evidence is not evidence of absence
    - Martin Rees
    The absence of consumable DDL, sample data and desired results is, however, evidence of the absence of my response
    - Phil Parkin

  • Phil Parkin - Tuesday, April 17, 2018 1:07 PM

    JaybeeSQL - Tuesday, April 17, 2018 1:02 PM

    Hi all
    This seemingly simple piece of code has thrown me - (and I've been working with TSQL a few years!!)

     I have an (NVarchar) column called 'Notes' . here's some sample data..

    Attended - Monday Adult
    Attended - Monday Adult
    Attended - Monday Inter/
    Attended - Monday Inter/
    Attended - Tuesday Adult

    So, the desired output should look like this..

    '
    Attended - Monday Adult -2
    Attended - Monday Inter/ - 2
    Attended - Tuesday Adult - 1
    Etc....

    Here's the monkey's breakfast I've made of it so far...

    SELECT  Replace(Date, '00:00:00.0000000','' ) As 'Date', COUNT(DISTINCT notes) As 'Class' ,  Count (Distinct 'Class') As Attendees--
     ,Notes AS [Type]   --(Apart from the date which maybe needed to group, I think the entire Select section needs rework)
    From Logs
    Where Notes like '%Attended -%'   --and Date like '2011%'
    Group by   date
    --Order by 'Attendees' desc

    TIA 🙂

    Not only have you been working with SQL for a few years, you've been here long enough to know that you should provide your sample data in a consumable format

    Such as?

  • JaybeeSQL - Tuesday, April 17, 2018 1:31 PM

    Phil Parkin - Tuesday, April 17, 2018 1:07 PM

    Not only have you been working with SQL for a few years, you've been here long enough to know that you should provide your sample data in a consumable format

    Such as?

    I'm surprised you ask, given the number of points you have, but have a look at this random thread. It includes a runnable setup script, and desired results.

    The absence of evidence is not evidence of absence
    - Martin Rees
    The absence of consumable DDL, sample data and desired results is, however, evidence of the absence of my response
    - Phil Parkin

  • Resolution found, will post up.

    Select Replace(notes, 'Attended - ','' ) As 'Class', NumberAttending
    From
     (
    SELECT  DISTINCT notes ,Count (notes) As NumberAttending
    From logs
    Where notes like '%attended 
    Group by  notes
     ) As SortedTable
    Order by NumberAttending desc

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