Min and max from date range span..
Hi All,
Here is the problem, we have the data like below and
MEMBER_NO YMDEFF YMDEND
5400 01-MAY-99 30-JUN-99
5400 01-JUL-99 31-DEC-99
5400 01-JAN-00 31-DEC-00
5400 01-JAN-01 31-JAN-01
5400 01-FEB-01 30-APR-01
5400 01-MAY-01 31-OCT-02
5400 01-NOV-02 31-DEC-03
5400 01-JAN-04 31-JAN-04
5400 01-FEB-04 29-FEB-04
3Y00 01-JAN-02 23-JUL-02
3Y00 24-JUL-02 31-OCT-02
3Y00 01-NOV-02 30-APR-03
3Y00 01-MAY-03 31-OCT-03
3Y00 01-JAN-04 31-JUL-04
3Y00 01-FEB-06 30-NOV-06
3Y00 01-DEC-06 31-DEC-99We want the output will be like this it is group by the member_no according to the time span. it is like if the consecutive rows are in range of continuous dates than it become a one span and if there is any breaks in between then that will be in a separate span.
MEMBER_NO min_YMDEFF max_YMDEND
5400 01-MAY-99 29-FEB-04
3Y00 01-JAN-02 31-JUL-04
3Y00 01-FEB-06 31-DEC-99Thanks in advance
In code this story becomes:
SQL> create table mytable
2 as
3 select '5400' member_no, date '1999-05-01' ymdeff, date '1999-06-30' ymdend from dual union all
4 select '5400', date '1999-07-01', date '1999-12-31' from dual union all
5 select '5400', date '2000-01-01', date '2000-12-31' from dual union all
6 select '5400', date '2001-01-01', date '2001-01-31' from dual union all
7 select '5400', date '2001-02-01', date '2001-04-30' from dual union all
8 select '5400', date '2001-05-01', date '2002-10-31' from dual union all
9 select '5400', date '2002-11-01', date '2003-12-31' from dual union all
10 select '5400', date '2004-01-01', date '2004-01-31' from dual union all
11 select '5400', date '2004-02-01', date '2004-02-29' from dual union all
12 select '3Y00', date '2002-01-01', date '2002-07-23' from dual union all
13 select '3Y00', date '2002-07-24', date '2002-10-31' from dual union all
14 select '3Y00', date '2002-11-01', date '2003-04-30' from dual union all
15 select '3Y00', date '2003-05-01', date '2003-12-31' from dual union all
16 select '3Y00', date '2004-01-01', date '2004-07-31' from dual union all
17 select '3Y00', date '2006-02-01', date '2006-11-30' from dual union all
18 select '3Y00', date '2006-12-01', date '2099-12-31' from dual
19 /
Tabel is aangemaakt.
SQL> select member_no
2 , min(ymdeff) "min_YMDEFF"
3 , max(ymdend) "max_YMDEND"
4 from ( select t.*
5 , sum(consecutive) over (partition by member_no order by ymdeff) sum_consecutive
6 from ( select member_no
7 , ymdeff
8 , ymdend
9 , sign(ymdeff - lag(ymdend,1,ymdeff-2) over (partition by member_no order by ymdeff) - 1) consecutive
10 from mytable
11 ) t
12 )
13 group by member_no
14 , sum_consecutive
15 order by 1, 2
16 /
MEMBER_NO min_YMDEFF max_YMDEND
3Y00 01-01-2002 00:00:00 31-07-2004 00:00:00
3Y00 01-02-2006 00:00:00 31-12-2099 00:00:00
5400 01-05-1999 00:00:00 29-02-2004 00:00:00
3 rijen zijn geselecteerd.Regards,
Rob.
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I am using Oracle 11g version
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insert into re values('abc','10/29/2012 13:30','0.00')
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insert into re values('abc','10/29/2012 13:50','2.1')
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Hello Forum,
a value is accumulated over a day and over a period of time. Next day the value is reseted and starts again to be accumulated:
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
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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
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select to_date('09.09.2012 10:12:12', 'dd.mm.yyyy hh24:mi:ss') ts, 60 val from dual union all
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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
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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, 14 val from dual union all
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select to_date('10.09.2012 10:12:12', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('10.09.2012 11:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
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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)
select ts, val
from sampledata
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 youThis 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
select to_date('08.09.2012 05:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 78 val from dual union all
select to_date('08.09.2012 06:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 08:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 10:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 12:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 16:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 17:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 19:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 21:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 22:00:12', 'dd.mm.yyyy hh24:mi:ss') ts, 24 val from dual union all
select to_date('08.09.2012 22:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 40 val from dual union all
select to_date('08.09.2012 23:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 68 val from dual union all
select to_date('09.09.2012 01:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 79 val from dual union all
select to_date('09.09.2012 02:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 124 val from dual union all
select to_date('09.09.2012 03:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 125 val from dual union all
select to_date('09.09.2012 04:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 126 val from dual union all
select to_date('09.09.2012 05:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 06:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 07:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 08:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 09:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 10:12:12', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 11:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 12:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 13:21:26', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 14:21:27', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 15:21:30', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 16:21:32', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 17:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union ALL
select to_date('09.09.2012 22:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 5 val from dual union ALL
select to_date('09.09.2012 22:51:33', 'dd.mm.yyyy hh24:mi:ss') ts, 23 val from dual union all
select to_date('09.09.2012 23:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 40 val from dual union all
select to_date('10.09.2012 00:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 50 val from dual union all
select to_date('10.09.2012 01:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 60 val from dual union all
select to_date('10.09.2012 02:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 78 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, 145 val from dual union all
select to_date('10.09.2012 05:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 06:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 07:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 08:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 146 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, 146 val from dual union all
select to_date('10.09.2012 11:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 12:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 13:21:26', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 14:21:27', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 15:21:30', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 16:21:32', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 146 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 unexpected results:
{code}
- ts val
1 08.09.2012 00:04:08 23
2 08.09.2012 22:12:13 40
3 08.09.2012 23:21:24 68
4 09.09.2012 22:21:33 5
5 09.09.2012 22:51:33 23
6 09.09.2012 23:21:33 40
7 10.09.2012 00:04:08 50
8 10.09.2012 01:03:08 60
9 10.09.2012 02:54:11 78
10 10.09.2012 03:04:08 142
11 10.09.2012 04:04:19 145
12 10.09.2012 05:04:20 146
{code}
The result should be:
{code}
- ts val
1 08.09.2012 00:04:08 23
2 08.09.2012 02:04:08 45
3 08.09.2012 05:03:08 78
4 08.09.2012 06:54:11 90
5 08.09.2012 22:00:12 24
6 08.09.2012 22:12:13 40
7 08.09.2012 23:21:24 68
8 09.09.2012 01:03:08 79
9 09.09.2012 02:54:11 124
10 09.09.2012 03:04:08 125
11 09.09.2012 04:04:19 126
12 09.09.2012 05:04:20 127
13 09.09.2012 22:21:33 5
14 09.09.2012 22:51:33 23
15 09.09.2012 23:21:33 40
16 10.09.2012 00:04:08 50
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
21 10.09.2012 05:04:20 146
{code}
Thank you for your help! -
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 -
I have a datetime axis stuck on 1970 for both min and max..
I have a datetime axis stuck on 1970 for both min and max..
The lineseries dataprovider has an array collection with objects
with each object having a dateAdded2 attribute of format mm/dd/yyyy
and the dates are in this year 2008. the objects also have an
attribute called amount which is a number.
eg
object.dateAdded2 = "07/14/2008"
object.amount =5
Anyone with any idea what is going wrong? Similar type of
data works fine in my other charts.Pull the CPU cover and look for leaks from the LCS.
If the gray mat is wet, the LCS has leaked and the machine will soon be dead.
PowerMac G5 Coolant Leaks/Repairs
PowerMac G5 Coolant Leak Repair/Overhaul (w/photos) -
i am currently using labview 7.0 and working on agilent 4195A. i am working on this programme where i have to locate the min and max point from the graph so as to locate the resonance frequency. but i tried several derivatives but none of them succeed in helping me to locate my min and max. if anyone have any idea, please let me know. thank you.
Attachments:
mapping.vi 121 KBHi tyl,
well you are using LV7.1...
I made some comments in your vi - please read the development style guide!
Why don't you use the array min/max operation to get the strongest signal output?
And please provide some test data - nobody here can test your vi without proper hardware, without your signal, with missing subvis...
Message Edited by GerdW on 06-22-2007 10:30 AM
Best regards,
GerdW
CLAD, using 2009SP1 + LV2011SP1 + LV2014SP1 on WinXP+Win7+cRIO
Kudos are welcome
Attachments:
mapping.vi 122 KB -
Hello Everyone,
I'm studying QoS and I'm wondering how does a Cisco Engineer find out what the best Minimum and Maximum Threshold rates are when using WRED?
Where would one find these values?
I'm under the impression that it requires a study that's based on the size of the queues, is that correct?
But then, I come to the conclusion that even if the queues are big enough, application critical data like (VOIP) would suffer from delay..
So, how do you calculate the min and max threshold values..
Thanks ahead of time..
PRDisclaimer
The Author of this posting offers the information contained within this posting without consideration and with the reader's understanding that there's no implied or expressed suitability or fitness for any purpose. Information provided is for informational purposes only and should not be construed as rendering professional advice of any kind. Usage of this posting's information is solely at reader's own risk.
Liability Disclaimer
In no event shall Author be liable for any damages whatsoever (including, without limitation, damages for loss of use, data or profit) arising out of the use or inability to use the posting's information even if Author has been advised of the possibility of such damage.
Posting
Setting WRED parameters, for optimal performance, is (IMO) very tedious. Lots of variables involved.
For starters, it shouldn't normally be applied to traffic that's not rate-adaptive, such as VoIP.
It works best for multiple large bulk data transfer TCP streams that are using dropped packets for their principle flow control. Then it can be optimized to maximize their "goodput".
To answer your question, you might study RED literature, and its many variants, found on the Internet.
You also want to study, if you're not already very familiar, with how adaptive flow rate protocols, such as TCP, behave when packets are dropped. (With TCP also be mindful of the different "flavors", i.e. Tahoe, Reno, New-Reno, etc.)
If you have specific questions, post again to this thread, and I might be able to help. -
Avg, Min and Max with a serious twist.....ASO
Hi,
I need to calc the Avg, Min and Max on Revenue. That's simple. However Every row of data the revenue falls into a bucket/range. For example revenue is in buckets '0 to 50' or '51 to 100' or '101 to 150' lets say. As I load data I load a '1' into a 'Count' measure depending on which bucket that row of data falls into. So I can get a total count for each bucket. So '0 to 50' might have a Count of 3. '51 to 100' might also have 3 and '101 to 150' has a 2. So my range count looks like:
0 to 50 - 3
51 to 100 - 3
101 to 150 -2
The trick is they only want the Avg, Min and Max on the rows that makeup the highest 'Count'. In this case that's 3. Problem is there are two ranges that meet this criteria. When that happens they want the Min, Max and Avg of the rows that make up the '51 to 100' bucket since it's the highest range.
I can easily get the '3' by using the Max formula. So I know what the highest bucket is. Problem is I can't figure out for the life of me, how to pass only those rows that make up the '51 to 100' bucket into the Avg, Min and Max function.....
I'm stumped and in dire need of something here. I have a spreadsheet that explains the problem better. If somehow I can get a flag on those rows I can easily Avg, Min and Max it. I just can't seem to figure out how to get a flag on only those rows of data.
I'm willing to share my mocked up example and spreadsheet and .otl and sample data etc....
Please help :)Why does this verify with Min?
Min ( Filter ( CROSSJOIN ( Descendants ( [Service].CurrentMember),
Filter ( CROSSJOIN ( Descendants ( [Segment].CurrentMember),
Filter ( CROSSJOIN ( Leaves ( [Ranges].CurrentMember),
Filter ( CROSSJOIN ( Descendants ( [Customer Type].CurrentMember),
Filter ( CROSSJOIN ( Descendants ( [Zip Code].CurrentMember),
Filter ( CROSSJOIN ( Descendants ( [Disposal Option].CurrentMember),
Filter ( CROSSJOIN ( Descendants ( [Tickets].CurrentMember),
Filter ( CROSSJOIN ( Descendants ( [Yardages].CurrentMember),
Filter ( Descendants ( [Contract Year].CurrentMember),
[High Range Max] = ( [High Range Max] , [All FHRev Ranges] ) )),
[High Range Max] = ( [High Range Max] , [All FHRev Ranges] ) )),
[High Range Max] = ( [High Range Max] , [All FHRev Ranges] ) )),
[High Range Max] = ( [High Range Max] , [All FHRev Ranges] ) )),
[High Range Max] = ( [High Range Max] , [All FHRev Ranges] ) )),
[High Range Max] = ( [High Range Max] , [All FHRev Ranges] ) )),
[High Range Max] = ( [High Range Max] , [All FHRev Ranges] ) )),
[High Range Max] = ( [High Range Max] , [All FHRev Ranges] ) )),
[High Range Max] = ( [High Range Max] , [All FHRev Ranges] ) ) , [FHRev] )
And when I just change to Tail and put a 1 at the end it fails?
Tail ( Filter ( CROSSJOIN ( Descendants ( [Service].CurrentMember),
Filter ( CROSSJOIN ( Descendants ( [Segment].CurrentMember),
Filter ( CROSSJOIN ( Leaves ( [Ranges].CurrentMember),
Filter ( CROSSJOIN ( Descendants ( [Customer Type].CurrentMember),
Filter ( CROSSJOIN ( Descendants ( [Zip Code].CurrentMember),
Filter ( CROSSJOIN ( Descendants ( [Disposal Option].CurrentMember),
Filter ( CROSSJOIN ( Descendants ( [Tickets].CurrentMember),
Filter ( CROSSJOIN ( Descendants ( [Yardages].CurrentMember),
Filter ( Descendants ( [Contract Year].CurrentMember),
[High Range Max] = ( [High Range Max] , [All FHRev Ranges] ) )),
[High Range Max] = ( [High Range Max] , [All FHRev Ranges] ) )),
[High Range Max] = ( [High Range Max] , [All FHRev Ranges] ) )),
[High Range Max] = ( [High Range Max] , [All FHRev Ranges] ) )),
[High Range Max] = ( [High Range Max] , [All FHRev Ranges] ) )),
[High Range Max] = ( [High Range Max] , [All FHRev Ranges] ) )),
[High Range Max] = ( [High Range Max] , [All FHRev Ranges] ) )),
[High Range Max] = ( [High Range Max] , [All FHRev Ranges] ) )),
[High Range Max] = ( [High Range Max] , [All FHRev Ranges] ) ) , 1 )
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