Ranking on consecutive dates
Hi guys,.
I've been struggling with this for a few days already and I tried to implement different solutions, that I was able to get the internet search and apply some learned approeaches from this forum on similar questions, but perhaps than if I put that question here someone knows exactly how best to manage :
So, I have a table like this:
with payments as
(
select '1' as ID, '20130331' as DateR, 'Not_paid' as Status from dual
union
select '1' as ID, '20130430' as DateR, 'Paid' as Status from dual
union
select '1' as ID, '20130531' as DateR, 'Not_paid' as Status from dual
union
select '2' as ID, '20130331' as DateR, 'Not_paid' as Status from dual
union
select '2' as ID, '20130430' as DateR, 'Not_paid' as Status from dual
union
select '3' as ID, '20130331' as DateR, 'Paid' as Status from dual
union
select '3' as ID, '20130430' as DateR, 'Paid' as Status from dual
union
select '3' as ID, '20130531' as DateR, 'Paid' as Status from dual
)
And I try to get the amount of the current row when of a user. Now it begins to count whenever the previous payments had been paid or it s the first payment.
I tried to get dense rank, that gives me output:
select ID, dater, status, dense_rank() over (partition by ID, status order by dater asc) rnk from payments
But I need to get something like this:
ID DATER STATUS RNK
1 20130331 Not_paid 1
1 20130430 Paid 1
1 20130531 Not_Paid 1
2 20130331 Not_paid 1
2 20130430 Not_paid 2
3 20130331 Paid 1
3 20130430 Paid 2
3 20130531 Paid 3
Such as if I want to get the max (rank) to check how the defaults a user has currently I get this ID has 1 unpayment, ID 2 two consecutive unpayments, and ID 3 0 unpayments. This is because I have to take into account the user as brewed on the fourth consecutive non-payment.
Hello
Here's one way:
WITH got_grp_num AS
(
SELECT p
ROW_NUMBER () OVER (PARTITION BY ID.
ORDER BY date
)
-ROW_NUMBER () OVER (PARTITION BY id, status)
ORDER BY date
) AS grp_num
PAYMENTS p
)
SELECT id, date, status
, ROW_NUMBER () OVER (PARTITION BY id, status, grp_num)
ORDER BY date
) AS rnk
OF got_grp_num
ORDER BY id, date
;
For an explanation of the technique of Difference sets used here, see
https://forums.Oracle.com/forums/thread.jspa?threadID=2302781 and/or
https://forums.Oracle.com/forums/thread.jspa?threadID=2303591
Moreover, store date information in a column of sting is simply asking for trouble. Use a DATE column.
Tags: Database
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Hello
Given
create table test (colamt COMP, coldate date);
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Hello
To display the best total of 3 rows and the date range when the total highest has been reached:
WITH got_total_colamt AS
(
SELECT coldate
SUM (colamt) OVER (ORDER BY coldate
LINES BETWEEN 2 PRIOR
AND CURRENT ROW
) AS total_colamt
, LAG (coldate, 2)
COURSES (ORDER BY coldate
) AS start_coldate
OF the test
)
got_rnk AS
(
SELECT coldate, total_colamt, start_coldate
, EVALUATE () OVER (ORDER BY total_colamt DESC) AS rnk
OF got_total_colamt
)
SELECT total_colamt
start_coldate
coldate AS end_coldate
OF got_rnk
WHERE rnk = 1
;
Output:
TOTAL_COLAMT START_COLDA END_COLDATE
------------ ----------- -----------
50 19 March 2015 March 26, 2015
If you do not need to display the dates, the above query can be shortened a little.
Etbin showed how to get 3 days in response #1, usinng the analytical SUM function totals. The analytic RANK function, estimated above, which of the totals is higher (or, in the event of a tie, lines 2 or more have the largest number). Because you cannot nest analytic functions, the analytical SUM function should be called in a separate subquery before calling the analytic RANK function. Since the analytical functions are calculated after the WHERE clause has been applied, you cannot use in a WHERE clause. That is why RANK is compuuted in another subquery and its results used in the WHERE clause of the main query.
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A group of consecutive dates to get some absences (days, hours, minutes) and incidents
Hello
I'm trying to calculate and history of lack of list based on the details of lack follows.
Here is what I got: (sorry for the dotted lines between the two, I put it just to format the data)
EMP_ID - WORK_DT - PM - REASON - PAID
=====-----=======------===-=====-- -- ====
123---06/01/2009---8.0---malades---PAYE
123---07/01/2009---8.0---malades---PAYE
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123---09/01/2009---8.0---malades---PAYE
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123---18/02/2009---8.0---malades---PAYE
123---30/03/2009---8.0---jure - paid
123---21/05/2009---4.0---malades---PAYE
123---22/05/2009---4.0---malades---PAYE
123---03/07/2009---8.0---malades---PAYE
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123---26/08/2009---4.5---FMLA EMP - paid
123---21/09/2009---8.0---malades---non paid
123---22/09/2009---8.0---malades---non paid
I need to consolidate absences consecutive full day (8 hours) and show Start_dt, End_Dt, and also to calculate the duration of the absence in days, hours, min. If there is lack of half day (single or consecutive) is not followed by 8 hours, then they should be considered as a new incident (5/21 and 5/22). If the absence of half-day is followed by the absence of all day while they should be grouped together (8/25 and 8/26).
So for the data mentioned above the result should look like:
EMP_ID - START_DT - END_DT - DAYS - HOURS - minutes - INCIDENT - REASON - PAID
===---====== ---- ====== -- === - ==== - === - ====== - ====== -- -- =======
123 4 06/01/2009-01/09/2009 - 0---0---1 - disease - paid
123-16/01/2009 1-16/01/2009 - 0---0---2 - FMLA EMP - paid
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123 22/05/2009 0 - 22/05/2009 - 4---0---6 - disease - paid
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Work_Dt - Row_Number() over (order of MIN (Work_Dt) and)
Row_Number() (order MIN (Work_Dt)
but it includes absences consecutive half-day (5/21 and 5/22) together as a single incident that should be considered as separate incidents. any idea or help in this case will be a great help.
Thank youStéphane wrote:
I'm trying to calculate and history of lack of list based on the details of lack follows.
As promised:
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Simplified example:
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Hello
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concerning
KVB
PurveshK,
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This should be quite effective, especially if there is an index on the date.
drop table t;
create table t:
Select trunc (sysdate) - level * 2 double dt connect by level<=>
delete t
where rowid in)
Select rn
de)
Select the rowid rn, dense_rank() over (order by dt desc) dr
t
)
where dr<=>
);
Post edited by: StewAshton:
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WITH got_month_num AS (
SELECT DISTINCT name , drug_name , MONTHS_BETWEEN (TRUNC (SYSDATE, 'MONTH') , TRUNC (fill_date, 'MONTH') ) AS month_num Of table_x -- WHERE ... -No filtering goes here )
, got_group_num AS (
SELECT name , drug_name , ROW_NUMBER () (PARTITION BY NAME , drug_name ORDER BY month_num ) - month_num AS group_num Of got_month_num )
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Hello
64a51ebf-6635-47dc-9c7a-f6e5d1b5a34c wrote:
Frank - Here is the link to the original post. Thank you.
Thank you. Now that I can test it, I see that I forgot a MIN nested:
WITH got_month_num AS
(
SELECT name, drug_name
MONTHS_BETWEEN (TRUNC (SYSDATE, 'MONTH'),
, TRUNC (fill_date, 'MONTH')
) AS month_num
MIN (fill_date) AS min_fill_date
FROM table_x
-WHERE... - no filtering is going here
GROUP BY name, drug_name
, TRUNC (fill_date, 'MONTH')
)
got_group_num AS
(
SELECT name, drug_name, min_fill_date
ROW_NUMBER () (PARTITION BY NAME, drug_name
ORDER BY month_num
) - month_num AS group_num
OF got_month_num
)
SELECT DISTINCT name, drug_name
, MIN (MIN (min_fill_date))
(PARTITION BY NAME, drug_name)
AS first_fill_date
OF got_group_num
GROUP BY name, drug_name, group_num
HAVING COUNT (*) > = 3
ORDER BY name, drug_name
;
What are the results you want from these sample data? The query above produces:
NAME DRUG_NAME FIRST_FILL_
-------------------- ---------- -----------
John Doe DrugX may 1, 2010
As the FAQ forum:
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By comparing the Dates in a group of data (different lines)
I have a requirement where I have to compare dates in a dataset for each employee. The data looks like this:
WITH test_data AS
(SELECT the '1' AS pk, '5900' AS emp_id, '5' AS rec_id, to_date('01-JAN-2014') AS rec_date FROM dual
UNION ALL
SELECT '2', '5900', '5', to_date('01-FEB-2014') FROM dual
UNION ALL
SELECT '3', '5900', '5', to_date('01-MAR-2014') FROM dual
UNION ALL
SELECT '4', '5900', '5', to_date('01-JAN-2014') FROM dual
UNION ALL
SELECT '5', '5900', '6', to_date('06-JAN-2014') FROM dual
UNION ALL
SELECT '6', '5900', '6', NULL FROM dual
UNION ALL
SELECT '7', '5900', '6', to_date('01-JUL-2014') FROM dual
UNION ALL
SELECT '8', '5900', '7', to_date('29-JAN-2014') FROM dual
UNION ALL
SELECT '9', '5900', '7', to_date('29-SEP-2014') FROM dual
UNION ALL
SELECT '10', '5900', '7', to_date('01-OCT-2014') FROM dual
UNION ALL
SELECT '11', '8595', '5', to_date('01-SEP-2014') FROM dual
UNION ALL
SELECT '12', '8595', '6', to_date('05-SEP-2014') FROM dual
UNION ALL
SELECT '13', '8595', '7', to_date('30-SEP-2014') FROM dual
UNION ALL
SELECT '14', '8595', '7', NULL FROM dual
)
REC_ID column is composed of 3 different types of records, which must satisfy this requirement:
REC_ID 5 acts as point of departure, and REC_ID 6 must have a REC_DATE within 7 days of REC_ID 5 REC_ID 7 must have a REC_DATE within 30 days of REC_ID 6.
- If the requirements are any record in REC_ID 5 acts like zero day or the starting point;
- Any record in REC_ID 6 must be within 7 days of the date of REC_ID 5;
- Any record in REC_ID 7 must be within 30 days from 6 REC_ID.
My results:
Expected results - satisfactory records
EMP_ID
DATE_1
DATE_2
DATE_3
5900
1 January 14
6 January 14
29 January 14
8595
1 sep-14
5 sep-14
30 sep-14
I don't know how to compare dates in a dataset that are on different lines. I thought using self-joins, query using the window as rank (), factoring functions, but I'm stuck pretty quickly.
I appreciate all help. Thank you!
Aqua
Hello
AquaNX4 wrote:
WOW odie_63: it would be a blessing if I was... but unfortunately, I'm on 10 gr 2. That would have been great!
I'm stuck (mentally) to the fact that there is an amount without discernment of records in the base table for each type of REC_ID.
Some employees have 5 folders for REC_ID, 10 REC_ID 6 and 7 for REC_ID 7, which leaves me confused in how many self-joins I should do, or if it is at all possible. I did a lot of arithmetic of dates with the data on the same line and certain ranks () functions for data residing on different lines, but this 1 seems to confuse me...
I ran 1 self-join as below to see what it looks like and it confused me even more because I know the timestamp of the arithmetic in where clause still will not produce data as I want... I am now trying another way...
SELECT td2.rec_id,
TD2.emp_id,
TD2.rec_date
Of
test_data2 td2
LEFT JOIN test_data td1 ON td1.emp_id = td2.emp_id
It's a good start.
You want an inner join, however, not an outer join, not you? Outer join means "include td2 lines if they have data in the corresponding TD1". If I understand the question, you are only interested in cases where it is matching data.
Here's a way to do it:
WITH joined_data AS
(
SELECT d5.emp_id
d5.rec_date LIKE date_1
d6.rec_date AS date_2
d7.rec_date AS date_3
ROW_NUMBER () OVER (PARTITION BY d5.emp_id
ORDER BY d5.rec_date
d6.rec_date
d7.rec_date
) AS r_num
OF test_data d5
JOIN test_data d6 ON d6.emp_id = d5.emp_id
AND d6.rec_date > = d5.rec_date
AND d6.rec_date<= d5.rec_date="" +="">
JOIN test_data d7 ON d7.emp_id = d6.emp_id
AND d7.rec_date > = d6.rec_date
AND d7.rec_date<= d6.rec_date="" +="">
WHERE d5.rec_id = '5'
AND d6.rec_id = "6"
AND d7.rec_id = "7"
)
SELECT emp_id, date_1, date_2, date_3
OF joined_data
WHERE r_num = 1
;
The subquery joined_data find all combinations of rows that meet the criteria. We want to only 1 line by emp_id, so I used ROW_NUMBER assign unique r_nums (starting at 1) to all lines with the same emp_id and then, in the main query, rejected all but the 1st row.
Knapen had a good idea, but it won't work for all cases. There may be situations where the only combination of rows that meet the criteria does not use the MIN or MAX of dates of one (or several).
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Rank of computed column is not work
Hello PL/SQL gurus and experts.
I use Oracle Database 11 g Enterprise Edition Release 11.2.0.1.0 - 64-bit Production version
I have table-drop table t3; create table t3(Pat_NM,Hospital,Test_Range,Total,LyTotal) as select 'Andy','Batra','> 10 Mph','20000','20000' from dual union all select 'Andy','Fortis','1-3 Mph','24500','20000' from dual union all select 'Andy','Max','5-10 Mph','10600','20000' from dual union all select 'Andy','Max','5-10 Mph','22500','20000' from dual union all select 'Andy','Aashiana','5-10 Mph','110600','20000' from dual union all select 'Andy','Amar','5-10 Mph','34800','20000' from dual union all select 'Andy','Max','5-10 Mph','600','20000' from dual union all select 'Andy','Columbia','< 1 Mph','27700','20000' from dual union all select 'Andy','Nimhans','< 1 Mph','50000','20000' from dual union all select 'Andy','Meenam','< 1 Mph','11000','20000' from dual union all select 'Andy','Meeran','5-10 Mph','24625','20000' from dual union all select 'Andy','Mnagamani','> 10 Mph','12000','20000' from dual union all select 'Andy','Murari','> 10 Mph','20600','20000' from dual union all select 'Andy','Triveni','5-10 Mph','16500','20000' from dual union all select 'Cindy','Batra','5-10 Mph','14700','20000' from dual union all select 'Cindy','Max','< 1 Mph','170000','20000' from dual union all select 'Cindy','Apollo Medical Centre','> 10 Mph','19000','20000' from dual union all select 'Cindy','MLal','1-3 Mph','22600','20000' from dual union all select 'Cindy','Columbia','< 1 Mph','28900','20000' from dual union all select 'Cindy','Asian','1-3 Mph','27900','20000' from dual union all select 'Cindy','Mahagun','< 1 Mph','28700','20000' from dual union all select 'Cindy','Manipal','< 1 Mph','29040','20000' from dual union all select 'Cindy','Prestige','< 1 Mph','12700','20000' from dual union all select 'Cindy','A.G.M.','< 1 Mph','97800','20000' from dual union all select 'Cindy','Shobha','< 1 Mph','700','20000' from dual union all select 'Cindy','Aashiana','5-10 Mph','23450','20000' from dual union all select 'Cindy','Amar','1-3 Mph','21325','20000' from dual union all select 'Cindy','Childs Trust','5-10 Mph','22775','20000' from dual union all select 'Cindy','Crescent ','< 1 Mph','20025','20000' from dual;
I have an Anlzd rank as this logic folloing calculation-
Ranking ((Cy Yr Tot *Factor-Prev Yr Tot) /Prev year Tot)and it does not correct-
Currently I use the following DML-
select Pat_NM, decode(grouping(Test_Range), 0, Test_Range, 'Total') "Test Range", Hospital, SUM (Total) "Total", SUM (AnlzdTotal) "Anlzd Total", SUM (LyTotal) "Last Yr Total", decode(grouping(Test_Range), 0, max(rank), null) Rank, decode(grouping(Test_Range), 0, max(lyrank), null) "Anlzd Rank" from (Select Pat_NM, Hospital, Test_Range, SUM (Total) Total, SUM (AnlzdTot) AnlzdTotal, SUM (LyTotal) LyTotal, DENSE_RANK () OVER (PARTITION BY test_range || pat_nm ORDER BY SUM (LyTotal) DESC) AS LYRANK, DENSE_RANK () OVER (PARTITION BY test_range || pat_nm ORDER BY SUM (Total) DESC) AS RANK, ROW_NUMBER () OVER (PARTITION BY test_range || pat_nm ORDER BY SUM (Total) DESC) AS rk from ( SELECT Pat_NM, Hospital, Test_Range, SUM (Total) Total, SUM (LyTotal) LyTotal, sum (Total) *1.85 AnlzdTot, (sum (Total * 1.85 - LyTotal)/nullif(sum(LyTotal),0)) AnlzdTotRank FROM t3 GROUP BY Pat_NM, Hospital, Test_Range ) group by Pat_NM, Hospital, Test_Range) group by grouping sets((Pat_NM, Test_Range,Hospital),()) order by Pat_NM,Test_Range, Rank;
Output data, I'm getting-
PAT_N Test Ran HOSPITAL Total Anlzd Total Last Yr Total RANK Anlzd Rank ----- -------- --------------------- ---------- ----------- ------------- ---------- ---------- Andy 1-3 Mph Fortis 24500 45325 20000 1 1 Andy 5-10 Mph Aashiana 110600 204610 20000 1 2 Andy 5-10 Mph Amar 34800 64380 20000 2 2 Andy 5-10 Mph Max 33700 62345 60000 3 1 Andy 5-10 Mph Meeran 24625 45556.25 20000 4 2 Andy 5-10 Mph Triveni 16500 30525 20000 5 2 Andy < 1 Mph Nimhans 50000 92500 20000 1 1 Andy < 1 Mph Columbia 27700 51245 20000 2 1 Andy < 1 Mph Meenam 11000 20350 20000 3 1 Andy > 10 Mph Murari 20600 38110 20000 1 1 Andy > 10 Mph Batra 20000 37000 20000 2 1 PAT_N Test Ran HOSPITAL Total Anlzd Total Last Yr Total RANK Anlzd Rank ----- -------- --------------------- ---------- ----------- ------------- ---------- ---------- Andy > 10 Mph Mnagamani 12000 22200 20000 3 1 Cindy 1-3 Mph Asian 27900 51615 20000 1 1 Cindy 1-3 Mph MLal 22600 41810 20000 2 1 Cindy 1-3 Mph Amar 21325 39451.25 20000 3 1 Cindy 5-10 Mph Aashiana 23450 43382.5 20000 1 1 Cindy 5-10 Mph Childs Trust 22775 42133.75 20000 2 1 Cindy 5-10 Mph Batra 14700 27195 20000 3 1 Cindy < 1 Mph Max 170000 314500 20000 1 1 Cindy < 1 Mph A.G.M. 97800 180930 20000 2 1 Cindy < 1 Mph Manipal 29040 53724 20000 3 1 Cindy < 1 Mph Columbia 28900 53465 20000 4 1 PAT_N Test Ran HOSPITAL Total Anlzd Total Last Yr Total RANK Anlzd Rank ----- -------- --------------------- ---------- ----------- ------------- ---------- ---------- Cindy < 1 Mph Mahagun 28700 53095 20000 5 1 Cindy < 1 Mph Crescent 20025 37046.25 20000 6 1 Cindy < 1 Mph Prestige 12700 23495 20000 7 1 Cindy < 1 Mph Shobha 700 1295 20000 8 1 Cindy > 10 Mph Apollo Medical Centre 19000 35150 20000 1 1 Total 925640 1712434 580000
I want to - data
PAT_N Test Ran HOSPITAL Total Anlzd Total Last Yr Total RANK Anlzd Rank ----- -------- --------------------- ---------- ----------- ------------- ---------- ---------- Andy 1-3 Mph Fortis 24500 45325 20000 1 1 Andy 5-10 Mph Aashiana 110600 204610 20000 1 1 Andy 5-10 Mph Amar 34800 64380 20000 2 2 Andy 5-10 Mph Max 33700 62345 60000 3 5 Andy 5-10 Mph Meeran 24625 45556.25 20000 4 3 Andy 5-10 Mph Triveni 16500 30525 20000 5 4 Andy < 1 Mph Nimhans 50000 92500 20000 1 1 Andy < 1 Mph Columbia 27700 51245 20000 2 2 Andy < 1 Mph Meenam 11000 20350 20000 3 3 Andy > 10 Mph Murari 20600 38110 20000 1 1 Andy > 10 Mph Batra 20000 37000 20000 2 2 PAT_N Test Ran HOSPITAL Total Anlzd Total Last Yr Total RANK Anlzd Rank ----- -------- --------------------- ---------- ----------- ------------- ---------- ---------- Andy > 10 Mph Mnagamani 12000 22200 20000 3 3 Cindy 1-3 Mph Asian 27900 51615 20000 1 1 Cindy 1-3 Mph MLal 22600 41810 20000 2 2 Cindy 1-3 Mph Amar 21325 39451.25 20000 3 3 Cindy 5-10 Mph Aashiana 23450 43382.5 20000 1 1 Cindy 5-10 Mph Childs Trust 22775 42133.75 20000 2 2 Cindy 5-10 Mph Batra 14700 27195 20000 3 3 Cindy < 1 Mph Max 170000 314500 20000 1 1 Cindy < 1 Mph A.G.M. 97800 180930 20000 2 2 Cindy < 1 Mph Manipal 29040 53724 20000 3 3 Cindy < 1 Mph Columbia 28900 53465 20000 4 4 PAT_N Test Ran HOSPITAL Total Anlzd Total Last Yr Total RANK Anlzd Rank ----- -------- --------------------- ---------- ----------- ------------- ---------- ---------- Cindy < 1 Mph Mahagun 28700 53095 20000 5 5 Cindy < 1 Mph Crescent 20025 37046.25 20000 6 6 Cindy < 1 Mph Prestige 12700 23495 20000 7 7 Cindy < 1 Mph Shobha 700 1295 20000 8 8 Cindy > 10 Mph Apollo Medical Centre 19000 35150 20000 1 9 Total 925640 1712434 580000
Thanks in advance for all your efforts, time and valuable feedback.
Thanks for the comments FrankKulash, I checked that it was due to the "last nulls' to be added in the following lines.
DENSE_RANK)
COURSES (PARTITION BY test_range | pat_nm ORDER OF SUM (LyTotal) / / DESC nulls last)
AS LYRANK,
DENSE_RANK)
COURSES (PARTITION BY test_range | pat_nm ORDER OF SUM (Total) / / DESC nulls last)
IN THE RANK,.
DENSE_RANK)
COURSES (PARTITION BY test_range | pat_nm ORDER OF SUM (AnlzdTotRank) / / DESC nulls last)
AS ANLZDRANK,
ROW_NUMBER)
COURSES (PARTITION BY test_range | pat_nm ORDER OF SUM (Total) / / DESC)
AS rk
-
How to calculate cumulative data
Hello
I need output like this.
Percent frequency percent Cumulative Cumulative frequency
4468 0.91 0.91 4468
21092 4.31 25560 5.23
57818 11.82 83378 17.05
I use Oracle 9i.
My data of output like that and I need to write the query for 3 columns (frequency, percent, the cumulative frequency and cumulative percentage)
1: the formula for the frequency column data is the sum of (dd + cc + mc_cc_mc).
1: the formula for the percentage column data is (frequency/amount of cumulative frequency) * 100
2: is the formula for the cumulative frequency column data (data of the cumulative frequency column of)
3: is the formula for the cumulative percentage column data (data for the cumulative percentage column of)
What should be the analytical function and how to write the query. Please find the sample of data and table script.
CREATE TABLE all_lony)
CampNO varchar2 (20).
DD INTEGER,
CC INTEGER,
MC, INTEGER,
cc_mc INTEGER
);
insert into all_lony (campno, dd, cc, mc, cc_mc)
values (36,156,1320,445,2547);
insert into all_lony (campno, dd, cc, mc, cc_mc)
values (40,233,19711,263,885);
=============
Please find my query below
SELECT campno
|| ','
|| DM
|| ','
|| CC
|| ','
|| MC
|| ','
|| cc_mc
|| ','
|| frequency
|| ','
|| by
||','
|| cumulative_fr
||','
|| AMOUNT (per) OVER (ORDER BY by LINES UNBOUNDED PRECEDING)
FROM (SELECT campno q3.campno, q3.dm, q3.cc, q3.mc, q3.cc_mc,
Q3. Frequency, q3.cumulative_fr,
(q3. Frequency / SUM (q3.cumulative_fr)) * 100
(Q2.campno SELECT campno, SUM (q2.dm) dm, SUM (q2.cc) cc,)
SUM (q2.mc) mc, SUM (q2.cc_mc) cc_mc,
(SUM (NVL (q2.dm, 0)))
+ NVL (q2.cc, 0)
+ NVL (q2.mc, 0)
+ NVL (q2.cc_mc, 0)
)
) the frequency,.
SUM (SUM (NVL (q2.dm, 0)))
+ NVL (q2.cc, 0)
+ NVL (q2.mc, 0)
+ NVL (q2.cc_mc, 0)
)
) ON (ORDER OF the SOMME (NVL (q2.dm, 0)))
+ NVL (q2.cc, 0)
+ NVL (q2.mc, 0)
+ NVL (q2.cc_mc, 0)
() THE UNBOUNDED PRECEDING LINES)
cumulative_fr
of all_lony
Q2 Q1)
GROUP BY q3.campno) q3
GROUP BY campno, dm, cc, mc, cc_mc, frequency, cumulative_fr)
Just check the query and let me knowHello
Everything is given. Each column formula is given...thriugh this we can get all the required result. The query is not working properly thats the issue and thats why i posted this whole senario.I don't think that everything is given. You gave:
select * from all_lony CAMPNO DD CC MC CC_MC 36 156 1320 445 2547 40 233 19711 263 885And you want to:
Frequency Percent Cumulative Frequency Cumulative percent 4468 0.91 4468 0.91 21092 4.31 25560 5.23 57818 11.82 83378 17.05First of all, you want 3 rows where we start with 2. I don't see anyway to generate the 3rd rank on 2 data.
With the following simple query, I get the frequency and the Cumulative_freqency.select campno ,dd + cc + mc + cc_mc Frequency ,sum(dd + cc + mc + cc_mc ) over (order by campno) Cumulative_freqency from all_lony CAMPNO FREQUENCY CUMULATIVE_FREQENCY -------------------- --------- ------------------- 36 4468 4468 40 21092 25560As you can see that your formula for the frequency is not give the result that you want.
1: the formula for the frequency column data is the sum of (dd + cc + mc_cc_mc).
This should be:
1: the formula for the frequency column data is dd + cc + mc_cc_mc.Now the percentage formula
1: the formula for the percentage column data is (frequency/amount of cumulative frequency) * 100I think you mean
1: the formula for the percentage column data is (frequency / cumulative frequency) * 100But this does not 0.91 or 4.31 as in your result set.
Then please explain in a simple furmula with the sample values you have given the way in which we can calculate the percentage column.
The cumulative percentage column follows out of the percentage column.Then explain how to get the 3rd rank.
Kind regards
Peter
-
DB: 11.1.0.7
I have a table and there column date without time information. I would like to recover missing consecutive dates over 2 days.
For example.
Select * from xyz
place date
1 05/10/2011
1 04/10/2011
1 01/10/2011
1 30/09/2011
1 27/09/2011
2 04/10/2011
2 01/10/2011
2 30/09/2011
3 04/10/2011
3 01/10/2011
3 30/09/2011
3 29/09/2011
3 26/09/2011
3 25/09/2011
Looking out be as below.
Place missing Date
1 04/10/2011
1 30/09/2011
2 04/10/2011
3 04/10/2011
3 29/09/2011
Any suggestion?This gives a shot:
SELECT location , dt FROM ( SELECT location , dt , dt - LAG(dt) OVER (PARTITION BY location ORDER BY dt) AS diff FROM xyz ) WHERE diff > 2 ORDER BY 1, 2 DESC -
Hello
I am new to the migration.
Can anyone please explain terms like kick off, build, mini - data warehouse etc.
Any help is greately appreciated.
Thank youOn the topic of migration of the system database and/or demand on storage, datamarts, OLAP,...?
I do not work in this area, so I didn't keep track of the good sites for this topic, but Oracle has manuals on storage and Oracle developed for stores which you can do refers to.
Definitions of concepts for warehouse, Datamark, etc...
http://download.Oracle.com/docs/CD/B19306_01/server.102/b14220/bus_intl.htm#sthref2460Guide to data warehouse
http://OTN.Oracle.com/pls/db102/ranked?Word=data+warehouse+guide&PartNo=b14223Tim Gorman has a few items/scripts that may be of interest
http://www.EvDBT.comHTH - Mark D Powell.
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