Summarizing Data And DATEPART

May 26, 2008

Hi,

I'm new to SQL and I will appreciate your help, my knowledge only goes so far and I think this task is above my skills. I'm trying to get information form a table in a certain format that allows me to summarize data on an hourly basis but I think I need need to use DATEPART.

The table looks like this:

Group Date_changed Object Proc Idx Value Offset
295 2008-05-19 00:05:00.000OBJ_1 PRC11020008544
295 2008-05-19 00:05:00.000OBJ_1 PRC11130006860
295 2008-05-19 00:05:00.000OBJ_1 PRC11240001372
295 2008-05-19 00:05:00.000OBJ_2 PRC11010002058
295 2008-05-19 00:05:00.000OBJ_2 PRC11120002744
295 2008-05-19 00:05:00.000OBJ_2 PRC11230003430
295 2008-05-19 00:05:00.000OBJ_3 PRC11070004116
295 2008-05-19 00:05:00.000OBJ_3 PRC111 60004102
295 2008-05-19 00:05:00.000OBJ_3 PRC112 50004802
295 2008-05-19 00:10:00.000OBJ_1 PRC11025004602
295 2008-05-19 00:10:00.000OBJ_1 PRC11135004502
295 2008-05-19 00:10:00.000OBJ_1 PRC11245005481
295 2008-05-19 00:10:00.000OBJ_2 PRC110 12005482
295 2008-05-19 00:10:00.000OBJ_2 PRC111 22005483
295 2008-05-19 00:10:00.000OBJ_2 PRC11232005484
295 2008-05-19 00:10:00.000OBJ_3 PRC11074506174
295 2008-05-19 00:10:00.000OBJ_3 PRC111 64506175
295 2008-05-19 00:10:00.000OBJ_3 PRC112 54506176
...
...
...
it contains data on 5 minutes intervals for each object and index.

I'm trying to summarize the data by Idx, I used this query:

select datepart(hour,date_changed) as Hour, Object,avg(Value) as Avg_Idx_10
from table1
where group = 295 and idx = 10 and Object = 'OBJ_1'
and datetime_changed < '2008-05-20'
group by datepart(hour,datetime_changed), Object

Hour Object Avg_Idx_10
0 OBJ_16346
1 OBJ_15039
2 OBJ_14533
3 OBJ_15102
4 OBJ_19019
5 OBJ_123511
6 OBJ_152575
...
...
...

And I get the information I need but each query shows only the data for 1 Idx, what I was wondering is if I can create a query that will allow me to summarize data on average Idx for all the idx in just 1 row yo obtain an output like this:

Hour Object Idx_10_Avg Idx_11_Avg Idx_12_Avg
0 OBJ_1 7500 3200 9500
0 OBJ_2 8400 7600 5800
0 OBJ_3 4700 6500 3400
...
...
...

Again, I'll appreciate any help, thanks in advance.

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Problem Summarizing Data

Nov 2, 2007



Hello,

I'm not a very strong SQL coder. I am having a problem regarding summarizing some data. I am hoping somebody can provide me with some direction.


I have two tables. One table represents a ticket: Ticket (ID, DateSold). Another table represents the status of a ticket: TicketStatus (ID, TicketID, StatusID) I need to create a query that can tell me how many tickets were sold in each month. But then, I need to be able to break that monthly ticket total down by StatusID. I have the following SQL Statement:


SELECT
Count(1) as 'TicketCount',
Month(DateSold) as 'SellMonth'
FROM
Ticket t
GROUP BY
Month(DateSold)


Which works up to the first part of the problem. However, how do I get the number sold per each status? Essentially, I would like my result set to look like the following (pipe-delimited):


TicketCount | SellMonth | Status1Total | Status2Total
5 | 1 | 2 | 3
9 | 2 | 8 | 1
7 | 3 | 3 | 4


Can somebody please help? Thank you!

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Summarizing Data And Building A String With Summarized Data

Mar 7, 2008

Hi there,

I'm faced with a bit of an issue within SSIS and I was wondering if anyone could help. I have data that looks like the following:

TABLE 1:::
CustomerID StaffID Percentage
A123 1234 1
A124 1245 1
A125 1234 0.7
A125 1443 0.3
B117 6653 1
B154 8899 1
C776 1443 0.2
C776 1337 0.6
C776 1245 0.2


I need to be able to summarize the data above and build up a string that should look like the following:

TABLE 2:::
CustomerID StringID
A123 1234||1
A124 1245||1
A125 1234||0.7||1443||0.3
B117 6653||1
B154 8899||1
C776 1443||0.2||1337||0.6||1245||0.2


As you can see in Table 1, if a CustomerID has only one StaffID associated to it, the "Percentage" Column's value is 1. In the cases where there is more than one StaffID associated to a particular CustomerID, the percentage column get's split up among the StaffIDs, however the sum of this split can never exceed 1 (100%) per CustomerID.

I need to know how to find the cases where there is more than one StaffID associated to a CustomerID, group the CustomerIDs, and build a string made up with the StaffID and Percentages as shown in Table 2.

Any help would be greatly appreciated, as I've struggled with this one for a while and have hit a brick wall.

Ciao,
Colin

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Nov 20, 2015

I have a table (edw_sbx_bt.jjenkins_OVERAGE2) of 40,000 MA_NUM.  

I want to find occurrences of those specific MA_NUM in another table (edw_ar_fl.ARTBASE) with specific attributes (CONTRACT_NUM = '593' and TRANSACT_STATUS_CD = 'D').  

When I run the query below it returns 4 million rows.  How can I write a query that will return the 40,000 MA_NUM (in edw_sbx_bt.jjenkins_OVERAGE2) with the sum total of MA_PAID_AMT associated with each?

SELECT edw_ar_fl.ARTBASE.MA_NUM,
       edw_ar_fl.ARTBASE.MA_PAID_AMT
FROM   edw_ar_fl.ARTBASE
       JOIN edw_sbx_bt.jjenkins_OVERAGE2
         ON edw_ar_fl.ARTBASE.MA_NUM = edw_sbx_bt.jjenkins_OVERAGE2.MA_NUM
WHERE  edw_ar_fl.ARTBASE.CONTRACT_NUM = '593'
       AND edw_ar_fl.ARTBASE.TRANSACT_STATUS_CD = '

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Oct 27, 2015

I have two tables one list changes of hospital ward and one lists changes of consultant doctor. These can change independently ie a ward change can occur without a consultant change and vice versa. I want to summarise these changes to give the status at each date_serial value.

create table #temp_ward_stay(date_serial bigint,ward_id varchar(10))
;
insert into #temp_ward_stay
values
(201501021200,'W1'),(201501031201,'W2'),(201501091200,'W3'),(201501161200,'W4'),(201501161201,'W5')(201501271200,'W3'),(201502101200,'W5')
;
create table #temp_consultant_episode(
date_serial bigint,
consultant_id varchar(10))
;
insert into #temp_consultant_episode values
(201501021200,'C1'),(201501031200,'C2'),(201501031201,'C3'),(201501091201,'C4'),
(201501121200,'C3'),(201501301200,'C6'),(201502111200,'C6'),(201502111201,'C7')
;

If I use:

select date_serial,consultant_id,null as ward_id from #temp_consultant_episode
union
select date_serial,null as consultant_id,ward_id from #temp_ward_stay

I get:

date_serial ward_id consultant_id
-------------------- ---------- -------------
201501021200 NULL C1
201501021200 W1 NULL
201501031200 NULL C2
201501031201 NULL C3
201501031201 W2 NULL
201501091200 W3 NULL
201501091201 NULL C4
201501121200 NULL C3
201501161200 W4 NULL

[code].....

whereas what I actually want is:

date_serialward_idconsultant_id
201501021200W1C1
201501031200W1C2
201501031201W2C3
201501091200W3C3
201501091201W3C4
201501121200W3C3
201501161200W4C3
201501161201W5C3

[code].....

I can see how I could remove the nulls where the date_serial values are the same:

select ce.date_serial,ward_id,consultant_id from #temp_consultant_episode ce
join #temp_ward_stay ws
on ce.date_serial=ws.date_serial

but I can't see how to move forward from here.

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Apr 17, 2015

LOCALID - POSTCODE - GPCODE
PTO1395164 - DN34 1AB - G9999981
PTO1395164 - DN34 1AB - G9999981
PTO1395164 - DN34 1AB - G8909058
PTO1395164 - DN34 1AB - G8909058
PTO1395164 - DN34 1AB - G8909058
PTO1395164 - DN34 1AB - G8909058
PTO1395164 - DN34 1AB - G8909058
PTO1395164 - DN34 1AB - G8909058
PTO1395164 - DN34 1AB - G8909058
PTO1395164 - DN34 1AB - G8909058
PTO1395164 - TZ14 2AX - G8909058
PTO1395164 - TZ14 2AX - G8909058

The sample data above shows 1 customer with multiple episodes (different attend dates – not important here), during the course of these attendances they moved home and moved GP practice.

Is there a simple way in Access to show a summary of this eh PTO1395164 = 2 postcodes, 2 GP’s

THe ultimate aim would be to identify where a customer has changed postcode or GP within a selected timeframe and disregard the rest.

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Apr 21, 2008

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AS

SET NOCOUNT ON
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@PROG2VARCHAR (20);
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--------------------------------------------------------------------------------------------------
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May 31, 2008

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FROM [transaction]
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05/30/08 10
05/30/08 11
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Mar 9, 2006

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