Difference of value of a dimension based on min and max

Database: Oracle 10g
BO-BOXIr3
Let me explain the exact problem again.
As per the below code, I have the data in this format in my table:
Code:
Date              Site ID     KWH
1/2/2009 00:00     IN-1     22
1/2/2009 01:00     IN-1     28
1/3/2009 03:00     IN-2     25
1/3/2009 04:00     IN-2     46
1/4/2009 00:00     IN-3     28
1/4/2009 10:00     IN-3     34
1/5/2009 08:00     IN-4     31
1/5/2009 09:00     IN-4     55
1/5/2009 11:00     IN-4     77
1/6/2009 00:00     IN-5     34
Now want to build a report with following columns:
Site     Count     KWH
IN-1     2     6 (ex.-28-22)
IN-2     2     21
IN-3     2     6
IN-4     3     46 (ex.-77-31)
IN-5     2     34
SITE- distinct site name.
COUNT-count is number of repetitions of site id between min and max date.
KWH -(Delta between the min and max date)
To get the above result I have created 3 report from different queries since not able to get these al in a single report viz Count, Max Value and Min value. Well I have all these 3 reports or table on a single page.
Count-this report will give the count between the dates
Max Value-this report will give me the values of kwh for max dates for each site id
Min Value-this report will give me the values of kwh for min dates for each site id
Now want to create a single report based on these 3 reports which contains the column
Site|Count|KWH
IS IT POSSIBLE?
Or
Is it possible to build such report in a single one with all the required column which I mentioned?
The variables which I created to get the max & min dates,
Mx_dt= =Max([Query 2].[Hourly]) In ([Query 2].[SITE_ID])
Mn_dt= =Min([Query 3 (12)].[Hourly]) In ([Query 3 (12)].[SITE_ID])
For filtering on report used following variables:
if_st_mn=If([mn_dt])=[Hourly] Then "ok" Else "no"
if_st_mx =If([mx_dt])=[Hourly] Then "ok" Else "no"
will filter on "ok" to get the max and min date values.
rest of the variable in the snap are not usable.

Yes, you can do it in one report.
I created a sample report from efashion:
Year | Lines | Sales Revenue
2001 | Accessories | $250
2003 | Accessories | $550
2001 | City Skirts | $1050
2003 | City Skirts | $1150...........
Create 2 variables 1) Count and 2) Difference:
1) Count  as formula - =Count([Lines]) In Report
2) Difference as formula - =Sum([Sales revenue]) Where (Max([Year]) In Report = [Year]) - Sum([Sales revenue]) Where (Min([Year]) In Report = [Year])
You can replace the formula with your report variables. Then just drag Site ID, Count and Difference variables to your report.
Thanks
Jai

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    I created a sample report from efashion:
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    Thanks
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    Hello Forum,
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                       select to_date('09.09.2012 17:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
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                       select to_date('10.09.2012 01:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                       select to_date('10.09.2012 02:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
                       select to_date('10.09.2012 03:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
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                       select to_date('10.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual)
    select   ts, val
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    order by ts asc;How should I change the select statement to skip all data sets before the first minimum and the duplicates after the maximum of a day in order to get such a result:
    TS     VAL
    09.09.12 06:12     23
    09.09.12 07:12     29
    09.09.12 08:12     30
    09.09.12 09:12     45
    09.09.12 10:12     60
    09.09.12 11:12     75
    09.09.12 12:21     95
    09.09.12 13:21     120
    09.09.12 14:21     142
    10.09.12 06:12     14
    10.09.12 07:12     34
    10.09.12 08:12     58
    10.09.12 09:12     70
    10.09.12 10:12     120
    10.09.12 11:12     142
    10.09.12 12:21     153Thank you

    This solution works perfectly when the accumulated value has its low and its high on the same day. But I found out :( , that there is also data, which has its low yesterday and its high today. For a better understandig of the case, there is a machine, wich is working over 3 Shifts with irregular start and end time. For example Shift1 cann start at 5:50 or at 7:15. The accumulated value of the worked time is accumuated for each shift extra. This solution works for the shift 1 (approximate between 06:00-14:00) and for the shift 2(approximate between 14:00-22:00), because there is the low and the high of the accumulated value on the same day. This solution does not work for the shif 3(approximate between 22:00-06:00), because the high of the accumulated value is or can be the next day.
    So the thread title should be: "Select just the values between min and max of an accumulated value over the same day(today) or over two successive days (yesterday and today)
    Sampledata for shift 1 or shift 2:
    {code}
    with sampledata as (select to_date('09.09.2012 00:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
    select to_date('09.09.2012 01:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
    select to_date('09.09.2012 02:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
    select to_date('09.09.2012 03:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
    select to_date('09.09.2012 04:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
    select to_date('09.09.2012 05:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
    select to_date('09.09.2012 06:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 23 val from dual union all
    select to_date('09.09.2012 07:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 29 val from dual union all
    select to_date('09.09.2012 08:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 30 val from dual union all
    select to_date('09.09.2012 09:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 45 val from dual union all
    select to_date('09.09.2012 10:12:12', 'dd.mm.yyyy hh24:mi:ss') ts, 60 val from dual union all
    select to_date('09.09.2012 11:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 75 val from dual union all
    select to_date('09.09.2012 12:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 95 val from dual union all
    select to_date('09.09.2012 13:21:26', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
    select to_date('09.09.2012 14:21:27', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('09.09.2012 15:21:30', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('09.09.2012 16:21:32', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('09.09.2012 17:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('09.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('09.09.2012 23:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('10.09.2012 00:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('10.09.2012 01:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('10.09.2012 02:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('10.09.2012 03:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('10.09.2012 04:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('10.09.2012 05:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
    select to_date('10.09.2012 06:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 143 val from dual union all
    select to_date('10.09.2012 07:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 144 val from dual union all
    select to_date('10.09.2012 08:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 145 val from dual union all
    select to_date('10.09.2012 09:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
    select to_date('10.09.2012 10:12:12', 'dd.mm.yyyy hh24:mi:ss') ts, 147 val from dual union all
    select to_date('10.09.2012 11:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 148 val from dual union all
    select to_date('10.09.2012 12:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
    select to_date('10.09.2012 13:21:26', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
    select to_date('10.09.2012 14:21:27', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
    select to_date('10.09.2012 15:21:30', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
    select to_date('10.09.2012 16:21:32', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
    select to_date('10.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual)
    , got_analytics     AS
         SELECT ts, val
         ,     MIN (val) OVER ( PARTITION BY TRUNC (ts)
                        ORDER BY      ts DESC
                        )      AS min_val_after
         ,     CASE
              WHEN ROW_NUMBER () OVER ( PARTITION BY TRUNC (ts)
                             ORDER BY     val
                             ,      ts     
                             ) = 1          
              THEN -1 -- Impossibly low val
              ELSE LAG (val) OVER ( PARTITION BY TRUNC (ts)
                             ORDER BY      ts
              END           AS prev_val
         ,     MIN (val) OVER (PARTITION BY     TRUNC (ts))
                        AS low_val_today
         ,     NVL ( LAST_VALUE (val) OVER ( ORDER BY ts
                             RANGE BETWEEN UNBOUNDED PRECEDING
                                  AND     ts - TRUNC (ts) PRECEDING
              , -1
              )          AS last_val_yesterday
         FROM sampledata
    SELECT     ts
    ,     val
    FROM     got_analytics
    WHERE     val          <= min_val_after
    AND     val          > prev_val
    AND     (      val     > low_val_today
         OR     val     != last_val_yesterday
    ORDER BY ts
    {code}
    with the expected results:
    {code}
    1     09.09.2012 06:12:02     23
    2     09.09.2012 07:12:03     29
    3     09.09.2012 08:12:04     30
    4     09.09.2012 09:12:11     45
    5     09.09.2012 10:12:12     60
    6     09.09.2012 11:12:13     75
    7     09.09.2012 12:21:24     95
    8     09.09.2012 13:21:26     120
    9     09.09.2012 14:21:27     142
    10     10.09.2012 06:12:02     143
    11     10.09.2012 07:12:03     144
    12     10.09.2012 08:12:04     145
    13     10.09.2012 09:12:11     146
    14     10.09.2012 10:12:12     147
    15     10.09.2012 11:12:13     148
    16     10.09.2012 12:21:24     153
    {code}
    And the sampledata for shift 3 is:
    {code}
    with sampledata as (select to_date('08.09.2012 00:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 23 val from dual union ALL
    select to_date('08.09.2012 02:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 45 val from dual union all
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    select to_date('08.09.2012 06:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
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    4     09.09.2012 22:21:33     5
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    6     09.09.2012 23:21:33     40
    7     10.09.2012 00:04:08     50
    8     10.09.2012 01:03:08     60
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    10     10.09.2012 03:04:08     142
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    12     10.09.2012 05:04:20     146
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    17     10.09.2012 01:03:08     60
    18     10.09.2012 02:54:11     78
    19     10.09.2012 03:04:08     142
    20     10.09.2012 04:04:19     145
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    --CELKO-- Books in Celko Series for Morgan-Kaufmann Publishing: Analytics and OLAP in SQL / Data and Databases: Concepts in Practice Data / Measurements and Standards in SQL SQL for Smarties / SQL Programming Style / SQL Puzzles and Answers / Thinking
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