Required Help in Pivot Table
Dear
i am working on BI Publisher Desktop Version and trying to generate a RTF Template in which pivot table has to be used
Below is the format of my XML File.
-<G_C1>
<R>1</R> row 1
<C>1</C> column 1
<C1>1300001 ASL 112531 2</C1>
<C2>1 10 1.5</C2>
<C3>120000105 12.5</C3>
<C4>120000105 </C4>
<C5>OPeration</C5>
</G_C1>
-<G_C1>
<R>1</R> row 1
<C>2</C> column 2
<C1>1300001 ASL 112531 2</C1>
<C2>2 10 1.5</C2>
<C3>120000106 12.5</C3>
<C4>120000106 </C4>
<C5>OPeration</C5>
</G_C1>
-<G_C1>
<R>1</R> row 1
<C>3</C> column 3
<C1>1300001 ASL 112531 2</C1>
<C2>3 10 1.5</C2>
<C3>120000107 12.5</C3>
<C4>120000107 </C4>
<C5>OPeration</C5>
</G_C1>
......... and sow on till row 16 and column 8
i am facing two issues,
first i have to show 5 columns in cross product, but pivot table option shows option for 4 columns only
secondly characters are not shown when i preview the template its shows 'NnN' in all columns
Kindly help me in generating the template.
I have to define the template in XML Publisher of Oracle E-Business Suite R12
Regards,
Muhammad Usman
check these samples
http://winrichman.blogspot.com/2008/08/pivot-table-cross-table-with-fixed.html
and
https://blogs.oracle.com/xmlpublisher/entry/new_skool_crosstabbing
i will let you if i know i get anything.
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Require help with Pivot table query in SQL Server 2008
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I have a query regarding converting columns to rows in SQL Server 2008. Please look at the table below.
I need the output to look something like this :
The columns for the children can be dynamic or fixed ( max of 6 children) based on the Family_ID. For Example: A family can have 1 child or more than 1 child.
Not sure how to go about it. Would appreciate your help :)Looks like you need dynamic pivot on multiple columns. I have two articles on this topic, start from this one
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Dynamic Pivot on Multiple Columns
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Not getting required format with pivot table view
Hi,
I need to create in the bellow format...
POD Data 01-JAN-08 01-FEB-08 01-MAR-08 01-APR-08 01-MAY-08 01-JUN-08 01-JUL-08 01-AUG-08 01-SEP-08
AFA Minutes/Month 44640 41760 44640 43200 44640 43200 44640 44640 43200
P1 Login Downtime (Min) 9 0 0 0 114 99 30 42 0
Actual Maint Time taken (Min) 1902 2350 439 409 136 1390 51 189 400
Availability % 99.98% 100.00% 100.00% 100.00% 99.74% 99.76% 99.93% 99.91% 100.00%
AHA Minutes/Month 44640 41760 44640 43200 44640 43200 44640 44640 43200
P1 Login Downtime (Min) 9 786 99 40 64 0 0 97 134
Actual Maint Time taken (Min) 199 2412 388 290 136 500 261 156 2688
Availability % 99.98% 98.00% 99.78% 99.91% 99.86% 100.00% 100.00% 99.78% 99.67%
AJA Minutes/Month 44640 41760 44640 43200 44640 43200 44640 44640 43200
P1 Login Downtime (Min) 39 0 0 0 30 0 30 42 2
Actual Maint Time taken (Min) 10868 2913 426 468 1187 564 391 268 1959
Availability % 99.88% 100.00% 100.00% 100.00% 99.93% 100.00% 99.93% 99.91% 100.00%
ANA Minutes/Month 44640 41760 44640 43200 44640 43200 44640 44640 43200
P1 Login Downtime (Min) 148 52 0 13 12 0 83 92 0
Actual Maint Time taken (Min) 1104 2155 158 2701 383 681 533 1190 765
Availability % 99.66% 99.87% 100.00% 99.97% 99.97% 100.00% 99.81% 99.79% 100.00%
I am able to get data in the compound table view....
POD Month Year Minutes/Month P1 Login Downtime(Min) Actual Maint Time taken (Min) Availability %
AFA 1-Jan-07 44,640 0 0 100
1-Feb-07 40,320 0 0 100
AHA 1-Jan-07 44,640 0 0 100
1-Feb-07 40,320 0 0 100
But I am unable to get required formate in the pivot table view. How can I get required format in PIVOT TABLE VIEW.
I tried in somany ways, but i am unable to adjust
like
AFA Minutes/Month 44640 41760 44640 43200 44640 43200 44640 44640 43200
P1 Login Downtime (Min) 9 0 0 0 114 99 30 42 0
Actual Maint Time taken (Min) 1902 2350 439 409 136 1390 51 189 400
Availability %
Please help me on this? Is there any manuall, which can help me on this?
Thanks alot in advance.
Thanks
PathanPathan,
This can be achieved by dragging the "Measure Labels" object to the rows. Put POD and Measuers object in to the rows and months in columns.
that will work.
thanks
Madan Thota -
Hi all,
We are having 6 measures. My requirement is that all the 6 measures needs to placed in rows one after other(each measure in one row) And in column level Fiscal year should be displayed to the corresponding 6 measures. Is this possible in pivot table...
Kindly help..urgent
Thanx in advance...
Regards,
NareshPlace measure lables in the rows and year column in column and all the measures in measures
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Help in Pivot Table (or another ways)
I need to do following view in the report,can anyone tell me how can I do that??
This is original report:
DATE AMOUNT1 AMOUNT2 AMOUNT3
01/02/2009 5 6 7
02/02/2009 2 3 4
I want to change this view into this:
01/02/2009 02/02/2009
AMOUNT1 5 6
AMOUNT2 6 3
AMOUNT3 7 4
How can I do this? Please help me..Have a look here:
http://obiee101.blogspot.com/2008/05/obiee-pivot-table-measure-label.html
regards
John
http://obiee101.blogspot.com -
Help with pivot tables in excel
Hello,
I need some help with a very specific issue I am getting in excel.
So, I have this pivot table that gets data from an external source (a huge database) and everything is working fine.
The problem comes with some lines in our database that are written in asian letters (the thai alphabet). Every thai entry that we import appears like ????????.
I can look into the DB (via MySQL Workbench) and everything is alright in there. I can also just copy some of the content into excel and the letters shows up normally.
Is there something I can do to fix it?
Thank you very much
Daniel AyresI can see it is working fine for roman/latin characteres, and it is not working for thai or japanese characteres. Since I dont have data written using the russian or the arabic alphabet, there is no way I can tell you if it would or not work..
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Hi
How to show grand total two times in pivot table?is it possible
Thanks in AdvanceHave a look here:
http://obiee101.blogspot.com/2008/05/obiee-pivot-table-measure-label.html
regards
John
http://obiee101.blogspot.com -
I'm trying to create an airplane seat map. 2 tables boarding and seats, boarding has the seat assignment (seatid) and seats has the id as well as row (eg 1) and position (eg A, B,C). I'm trying to pivot the two together so I see which seat
is taken and which is open (1-taken, 0-open). Result should look like this:
Row |A|B|C|
___1|1 0 1
___2|0 0 0
___3|0 0 0
___4|1 0 0
Using SQL server, run a below query get error "incorrect synatx near 'PIVOT'
SELECT *
FROM (SELECT s.row, s.position,
CASE when b.seatid is null
then 0
else 1
end seat_free
from seats s
left outer join
boarding b
on (b.seatid=s.id)
PIVOT (max (seat_free)
FOR position in ('A' as A, 'B' as B, 'C' as C))
Order by s.row
Thanks for the help!Hi,
in addition to pivot solutions posted by RSingh and Latheesh, you can use another solution without pivot:
select roww,MAX([A]) as [B],MAX([B]) as [A],MAX([C]) as [C]
from (
select roww ,
[A] = CASE
when position = 'A' and not ISNULL(boarding.seatid, '0') = '0' then 1
else 0
END,
[B] = CASE
when position = 'B' and not ISNULL(boarding.seatid, '0') = '0' then 1
else 0
END,
[C] = CASE
when position = 'C' and not ISNULL(boarding.seatid, '0') = '0' then 1
else 0
END
from seat
left join boarding on seat.id = boarding.seatid
) T
group by roww
Hope this is helpful :-)
[Personal Site] [Blog] [Facebook] -
Need help w/pivot table. dsplay multi cols as col delimited, data fm 2 tbls
I need to disply data from tbl 1 with qty's from tbl2.
disply qty's i.e. (if qyt_type = 'past', display column in ',' deliminated) as "Past_qty"
colmns in 1st tbl
name,pgm,type,code
aaa bbb 3 x
aaa ccc 3 z
colmns in 2nd tbl (first three cols are refer integ to the 1st tbl)
name,pgm,type,qty_type,qty
data in tbl 2
name pgm type qty_type qty
aaa bbb 3 past 0
aaa bbb 3 past 0
aaa ccc 3 past 1
aaa ccc 3 past 3
aaa bbb 3 present 0
aaa bbb 3 present 0
aaa bbb 3 future 0
aaa bbb 3 future 0
need it to look like this
name pgm type past_qty present_qty future_qty, code
aaa bbb 3 0,0 0,0 0,0 x
aaa ccc 3 1,3 z
there are 12 past qtys, 38 present qtys and 60 future qtys
thank you in advanceOh well, guess I needed some little exercise.
Here it is:
SQL> create table first_table
2 as
3 select 'aaa' name, 'bbb' pgm, 3 type, 'x' code from dual union all
4 select 'aaa', 'ccc', 3, 'z' from dual
5 /
Tabel is aangemaakt.
SQL> create table second_table
2 as
3 select 'aaa' name, 'bbb' pgm, 3 type, 'past' qty_type, 0 qty from dual union al
4 select 'aaa', 'bbb', 3, 'past', 0 from dual union all
5 select 'aaa', 'ccc', 3, 'past', 1 from dual union all
6 select 'aaa', 'ccc', 3, 'past', 3 from dual union all
7 select 'aaa', 'bbb', 3, 'present', 0 from dual union all
8 select 'aaa', 'bbb', 3, 'present', 0 from dual union all
9 select 'aaa', 'bbb', 3, 'future', 0 from dual union all
10 select 'aaa', 'bbb', 3, 'future', 0 from dual
11 /
Tabel is aangemaakt.
SQL> select f.name
2 , f.pgm
3 , f.type
4 , stragg(decode(s.qty_type,'past',s.qty)) past_qty
5 , stragg(decode(s.qty_type,'present',s.qty)) present_qty
6 , stragg(decode(s.qty_type,'future',s.qty)) future_qty
7 , f.code
8 from first_table f
9 , second_table s
10 where f.name = s.name
11 and f.pgm = s.pgm
12 and f.type = s.type
13 group by f.name
14 , f.pgm
15 , f.type
16 , f.code
17 /
NAM PGM TYPE PAST_QTY PRESENT_QTY FUTURE_QTY C
aaa bbb 3 0,0 0,0 0,0 x
aaa ccc 3 1,3 z
2 rijen zijn geselecteerd.Regards,
Rob. -
Hello gurus,
I need a help in pivot table view. In pivot table, I have to show measure in accordance to month. For example show sales as per region by month name.
Region Sales
Jan Feb Mar Apr …………..Dec Avg Total
A 10 40 92 92 32 xxx xxx
B 73 83 39 78 87 xxx xxx
So this is what I have to do. I am able to do this with one measure with created new calculated item. Now I have to create this report using two measures and the in the new measure I have to show only average and total.
For example
Region Sales Target
Jan Feb ………Dec Avg Total Avg Total
A 10 40 32 xxx xxx xxx xxx
B 73 83 87 xxx xxx xxx xxx
Here sales and target are two different measures. The problem is when I add target column in measures; it will show all the month which I don’t require at all because I need all the month for sales only and for target I just need average and total. I try from head to toe but not getting any thing like this.Can i do this using other view if possible.
Help me guys. If you need more explanation then please let me know.
Thanks
Regards,
SuhelAnybody replies please.....
Is this possible that we can use Calculated column in other calculation in pivot table. For example, total of one measure divided by total of another measure in pivot table.
Regards,
Suhail -
Bordering options in pivot table Obiee
Hi,
I have a requirement in OBIEE pivot table where I have to put borders across columns for the pivoted data.
For Pivoted data as below I want bold borders for the area a-b,c-d and e so that we can differentiate between them. This doesn't seem to be possible in criteria section as the data is being pivoted from results section and the below structure would appear only there.
A
B
C
D
E
17,573
915
1,638
15,200
9,033
22,877
572
3,280
19,466
11,898
45,400
2,883
5,092
37,704
17,435
23,225
2,130
5,339
16,125
8,753
Any help is greatly appreciated.
Thanks.Hi Sreeni,
Thanks for the reply. but that would apply borders for all the columns..right? I want to group one or more columns with a similar border and it should include both the Measures column and the Measure labels column. -
Urgent help required in creating matrix table report
Hi
I need a report in the below format with subtotal and total and custom order of columns and rows. I tried in using grouping and conditional region format but i am not getting the exact result.
product2 product 1 product 3 Total
Asia
India 10 20 30 60
Europe
london 20 30 40 90
Germany 30 40 50 120
Europe total 50 70 90 210
Full total 60 90 120 270
india,london,germany in field region
product 1, product2 product3 in field sales
measures in total amount field
I tried to use the pivot table but their no option for total and custom ordering for rows and columns and i am not getting the exact format. Please suggest me a method or procedure to get exact result as shown above.
Thanks and regards
sandy
Edited by: user2989722 on Mar 31, 2010 11:45 PMhi
I am attaching my xml please help me out in creating a matrix report.
<?xml version="1.0" encoding="UTF-8" ?>
- <ROWSET>
- <ROW>
<_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>1.Wholesale</_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>
<_FCT_NON_SEC_EXP_20090331_._PD_Range_>PD 1 [0 - .15]%</_FCT_NON_SEC_EXP_20090331_._PD_Range_>
<_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>2307.165535041</_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>
<_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>0.475123902700634</_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>30.2162475006637</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>
<_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>1632.57338858</_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>422.436554415462</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>
</ROW>
- <ROW>
<_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>1.Wholesale</_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>
<_FCT_NON_SEC_EXP_20090331_._PD_Range_>PD 10 (10 - 20]%</_FCT_NON_SEC_EXP_20090331_._PD_Range_>
<_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>17137.13228197</_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>
<_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>0.405705629282986</_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>207.096250125078</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>
<_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>5783.36069429</_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>26.7447698210976</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>
</ROW>
- <ROW>
<_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>1.Wholesale</_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>
<_FCT_NON_SEC_EXP_20090331_._PD_Range_>PD 11 (20 - 100]%</_FCT_NON_SEC_EXP_20090331_._PD_Range_>
<_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>176.01654684</_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>
<_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>0.507714108946292</_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>281.219317996251</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>
<_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>6.35288644</_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>33.5503479625902</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>
</ROW>
- <ROW>
<_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>1.Wholesale</_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>
<_FCT_NON_SEC_EXP_20090331_._PD_Range_>PD 12 Default</_FCT_NON_SEC_EXP_20090331_._PD_Range_>
<_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>4701.426500882</_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>
<_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>0.448602202841554</_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>100.000000024971</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>
<_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>722.25731111</_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>17.1137302584326</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>
</ROW>
- <ROW>
<_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>1.Wholesale</_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>
<_FCT_NON_SEC_EXP_20090331_._PD_Range_>PD 4 (.35 - .5]%</_FCT_NON_SEC_EXP_20090331_._PD_Range_>
<_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>20075.347155131</_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>
<_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>0.435471063386539</_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>65.043256695741</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>
<_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>19214.33530761</_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>39.8394919447153</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>
</ROW>
- <ROW>
<_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>1.Wholesale</_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>
<_FCT_NON_SEC_EXP_20090331_._PD_Range_>PD 6 (.75 - 1.35]%</_FCT_NON_SEC_EXP_20090331_._PD_Range_>
<_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>55148.040085827</_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>
<_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>0.406837969201374</_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>90.9915692969898</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>
<_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>35168.28645631</_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>24.2323573228287</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>
</ROW>
- <ROW>
<_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>1.Wholesale</_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>
<_FCT_NON_SEC_EXP_20090331_._PD_Range_>PD 7 (1.35 - 2.5]%</_FCT_NON_SEC_EXP_20090331_._PD_Range_>
<_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>80782.306502494</_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>
<_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>0.401398105436061</_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>104.939383907255</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>
<_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>29327.09937088</_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>64.5404944514989</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>
</ROW>
- <ROW>
<_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>1.Wholesale</_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>
<_FCT_NON_SEC_EXP_20090331_._PD_Range_>PD 9 (5.5 - 10]%</_FCT_NON_SEC_EXP_20090331_._PD_Range_>
<_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>19918.353466582</_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>
<_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>0.403197283094678</_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>145.38568228759</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>
<_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>6968.38716055</_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>22.4602872356297</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>
</ROW>
- <ROW>
<_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>1.Wholesale</_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>
<_FCT_NON_SEC_EXP_20090331_._PD_Range_>PD3 (.25 - .35]%</_FCT_NON_SEC_EXP_20090331_._PD_Range_>
<_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>4659.00625848</_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>
<_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>0.437222745016593</_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>49.7763165044685</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>
<_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>6328.43285318</_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>56.9420433188724</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>
</ROW>
- <ROW>
<_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>2.Residential Mortgage</_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>
<_FCT_NON_SEC_EXP_20090331_._PD_Range_>PD 1 [0 - .15]%</_FCT_NON_SEC_EXP_20090331_._PD_Range_>
<_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>92099.47315523</_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>
<_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>0.49290316215652</_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>8.1614679611239</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>
<_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>40865.81313468</_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>0.490255140986887</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>
</ROW>
- <ROW>
<_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>2.Residential Mortgage</_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>
<_FCT_NON_SEC_EXP_20090331_._PD_Range_>PD 10 (10 - 20]%</_FCT_NON_SEC_EXP_20090331_._PD_Range_>
<_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>5978.77892414</_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>
<_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>0.462986581515473</_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>236.956154182651</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>
<_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>38.17433944</_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>0.220028397461449</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>
</ROW>
- <ROW>
<_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>2.Residential Mortgage</_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>
<_FCT_NON_SEC_EXP_20090331_._PD_Range_>PD 11 (20 - 100]%</_FCT_NON_SEC_EXP_20090331_._PD_Range_>
<_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>7996.70429901</_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>
<_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>0.487633014729318</_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>211.059294848823</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>
<_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>67.39087733</_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>0.262386150656619</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>
</ROW>
- <ROW>
<_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>2.Residential Mortgage</_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>
<_FCT_NON_SEC_EXP_20090331_._PD_Range_>PD 12 Default</_FCT_NON_SEC_EXP_20090331_._PD_Range_>
<_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>5680.79501712</_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>
<_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>0.364996338745224</_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>100.000000120142</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>
<_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>9.44825003</_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>0.274957460858617</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>
</ROW>
- <ROW>
<_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>2.Residential Mortgage</_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>
<_FCT_NON_SEC_EXP_20090331_._PD_Range_>PD 2 (.15 - .25]%</_FCT_NON_SEC_EXP_20090331_._PD_Range_>
<_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>18412.32474058</_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>
<_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>0.565813759474568</_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>22.0959615585123</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>
<_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>3375.14793919</_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>0.31511224146282</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>
</ROW>
- <ROW>
<_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>2.Residential Mortgage</_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>
<_FCT_NON_SEC_EXP_20090331_._PD_Range_>PD 4 (.35 - .5]%</_FCT_NON_SEC_EXP_20090331_._PD_Range_>
<_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>8998.50534758</_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>
<_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>0.564193157888767</_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>38.7032364619711</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>
<_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>742.52198983</_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>0.259162668085142</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>
</ROW>
- <ROW>
<_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>2.Residential Mortgage</_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>
<_FCT_NON_SEC_EXP_20090331_._PD_Range_>PD 5 (.5 - .75]%</_FCT_NON_SEC_EXP_20090331_._PD_Range_>
<_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>8566.81402593</_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>
<_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>0.551881376840796</_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>49.4634096178362</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>
<_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>404.85624382</_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>2.51892931053278</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>
</ROW>
- <ROW>
<_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>2.Residential Mortgage</_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>
<_FCT_NON_SEC_EXP_20090331_._PD_Range_>PD 6 (.75 - 1.35]%</_FCT_NON_SEC_EXP_20090331_._PD_Range_>
<_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>10002.21838595</_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>
<_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>0.530272891319008</_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>66.6791470811157</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>
<_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>404.88147998</_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>0.212464766871609</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>
</ROW>
- <ROW>
<_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>2.Residential Mortgage</_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>
<_FCT_NON_SEC_EXP_20090331_._PD_Range_>PD 7 (1.35 - 2.5]%</_FCT_NON_SEC_EXP_20090331_._PD_Range_>
<_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>10005.26092357</_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>
<_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>0.500044162824778</_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>93.5636951722772</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>
<_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>-490.56397567</_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>46.4764541038698</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>
</ROW>
- <ROW>
<_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>2.Residential Mortgage</_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>
<_FCT_NON_SEC_EXP_20090331_._PD_Range_>PD 8 (2.5 - 5.5]%</_FCT_NON_SEC_EXP_20090331_._PD_Range_>
<_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>11226.21172151</_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>
<_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>0.468571958403512</_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>131.927474849119</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>
<_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>110.85147102</_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>0.214124061873538</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>
</ROW>
- <ROW>
<_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>2.Residential Mortgage</_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>
<_FCT_NON_SEC_EXP_20090331_._PD_Range_>PD 9 (5.5 - 10]%</_FCT_NON_SEC_EXP_20090331_._PD_Range_>
<_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>5963.41956141</_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>
<_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>0.466066773663567</_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>185.088689160792</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>
<_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>51.01957931</_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>0.224693875694723</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>
</ROW>
- <ROW>
<_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>2.Residential Mortgage</_FCT_NON_SEC_EXP_20090331_._Line_of_Business_>
<_FCT_NON_SEC_EXP_20090331_._PD_Range_>PD3 (.25 - .35]%</_FCT_NON_SEC_EXP_20090331_._PD_Range_>
<_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>9956.41682925</_FCT_NON_SEC_EXP_20090331_._Total_exp_amount____1000000>
<_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>0.55994575388673</_FCT_NON_SEC_EXP_20090331_._Weighted_Average_LGD_>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>29.9353533062809</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_RW_>
<_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>1216.31690239</_FCT_NON_SEC_EXP_20090331_._Undrawn_Commitments__m_____1000000>
<_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>0.28824424910818</_FCT_NON_SEC_EXP_20090331_._Exposure_Weighted_Avg_EAD____1000000>
</ROW>
> -
Pivot table HELP in OBIEE Answers!!!
Hello,
I am having some problems in a “pivot table”, “Sections” and “Calculated Items” I have a section called 'e) External Income' and I would like the value reverted from a negative to a positive. In excel or any other form of calculation you can do this by * -1 (negative 1). However this statement does not work as a Calculated Item. This is the statement I am using = 'e) External Income'*-1 and I get the following error message “The semantics of the formula entered are not valid”.
I have also tried = 'e) External Income'-('e) External Income'+'e) External Income') this will give you it as a minus also but I have no error message this time, but the values stay the same.
Can this be done any help would be very appreciative.
Thank you
JohnI cannot change the folmula in the critera tab because this will chnage my values on the other 'Bins' I have created. Ref your other question i have a list of account codes and i have grouped ones together to create 4 "Bins". If i change the formula for one of the Bins it will chnage it for all of them but I only need it on the 'e) External Income'
-
Help me regarding pivot table group by
Hi ,
i am developing an bi publisher rtf template using ms word .
i had an issue with pivot table.
i have a table something like this
table_code Indicator1 year value
1 a 2008 20
1 a 2009 40
1 b 2008 10
2 a 2008 20
2 a 2008 20
2 a 2008 20
in table view i am doing this .. i am grouping my table by table_code
<>TABLE_CODE
INDICATOR1 YEAR VALUE
INDICATOR1 YEAR VALUE
By doing so , i am getting all the tables in my database
like
1
indicator year value
a 2008 20
a 2008 10
a 2009 20
2
indicator year value
a 2008 20
a 2009 20
b 2008 20
. so on
Now i want pivot table view like
1
Indicator 2008 2009 2010
a 20 30 40
b 10 40 40
2
Indicator 2008 2009 2010
a 20 30 40
b 10 40 40
how can this be achieved??
how to create a group by in pivot table? where to write the group by clause?
struck here from 1 week. any help will be appreciated .
Thank You,
Sunny.i have to use table_code also in the view??
C H ACCTABLE_CODE
INDICATOR1
G YEARE
G RSTABLE_CODE
G INDICATOR1
G 999.00E E
and where to write the code.outside the table or on which tag?? and what to write.
please help me.
Thanks -
Pivot table problem. Please help me create this report
Hi friends..I'm new to OBIEE. We can create the grand total column in pivot table. I need grand total as well as Grand average. How can I create a new column in pivot table that is same as grand total but calculates average.
My table structure is like this.
Facility......Date........totaldays
A..........01/01/08......210
B..........01/01/08......215
C..........01/01/08......917
A..........02/01/08......211
B..........02/01/08......211
C..........02/01/08......911
A..........03/01/08......210
B..........03/01/08......215
C..........03/01/08......917
I need the report like this..
Facility.....01/01/08......02/01/08....03/01/08...Total....AVG
A...............210.............211............210.....631......210.3
B...............215.............211............215.....641.....213.6
C...............917.............911............917.....2745....915
For this report..I created pivot table but I'm not able to calculate the average..
Can you please help..I'm new to OBIEE...
Thanks in advancePlease change your username....
Here is what you need to do...
1) In the Pivot Table View, click on the Measures column and select New Calculated Item.
2) In the pop-up window complete as follows:
Name: type "Total Average"
Function: Select "Average" from the drop-down window.
Click on the values in the right pane that you wish OBI to calculate the average for.
3) Click "OK."
You now have another column that is the average of the values in each row.
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