Sort data in pivot table
Hi Experts,
Here's the requirement I need to sort the text Text_field field say to sort this column, I called another field. Sort_Text_field.
I have the pivot table as follows
Can I sort Text_field even if Sort_Text_field is not in the PivotTable on the side.
Thank you!
Month1-(Jan) | Month2-(Feb) | |
---|---|---|
Text_field | MetricValue1 | MetricValue2 |
Thank you!!
Just in case if helps others. Tim Dexter tanks
Follow this link: https://blogs.oracle.com/xmlpublisher/entry/new_skool_crosstabbing
Customization
One new feature that I discovered this week is the ability to show a single column and sort by another. I got a data set which was extracting the month abbreviations, we wanted to show for months through the top and headers of lines on the side. As you know XSL is not very good with dates, in particular recognizing the names of months. He just wants to sort them alphabetically, so, after comes before Jan, etc..
A way around this is to generate a number of months to the sides of the month and which allows to sort. We can do that in the crosstab, unfortunately it is not exposed in the user interface still but its doable.
Go back and take a look at the initial crosstab command. especially the line inputs and columns. There, you will find the sort criteria.
"ProductsBrand {, o = a, t = t}, PeriodYear {, o = a, t = t}.
Note these key commas inside the braces? Because there is no field that precedes them, this means that the crosstab should sort on the column before the brace that is PeriodYear. But you can insert another column in the data set to be sorted. For myself how I needed to work.
<>" _Fund_Type_._Fund_Type_Sort_, o = a, t = n} ';' _Fiscal_Period__Amount__._Amt_Fm_Disp_Abbr_ {_Fiscal_Period__Amount__._Amt_Fiscal_Month_Sort_, o = a, t = n} ';' _Execution_Facts_._Amt_ ';' amount '? >
Excuse the horribly verbose XML tags, good ol' BIEE: 0) emboldened columns are not in the table, but in the data set. I just open the field, dropped and changed the value type (t) is 'n', number, instead of the default 'a' and my crosstab started sorting how I wanted that it.
If you find other tips and tricks, please share in the comments.
Tags: Business Intelligence
Similar Questions
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Remove sorting in a Pivot table view
Hi people,
How to remove the column header sort options in the pivot table view?
Thank you
AJ
You want to remove the small arrows on the column header in a pivot view?
If so, the options are available in the analysis criteria tab. The problem is it cannot be set to a point of view, they perform the whole analysis
In the criteria-> Properties tab right next to the filters and the stages of selection analysis-> Interactions tab.
Mark, if this can help
-
Pivot Table sort using month row
I have the XML depending on whether I'm trying to get the following results
2006 2007 2008 2009 2010
800 845 869 900 56 adoptions
January 97 96 92 2 2
February 81 90 78 99 0
March 105 77 87 125 0
.....
759 748 872 919 58 redemptions
January 79 82 78 81 58
February 76 66 58 94 0
March 67 102 75 77 0
....
My dataset XML looks like this:
My dataset xml is:
<? XML version = "1.0" encoding = "UTF-8"? >
-< ROWSET >
-< ROW >
< iyear > 2006 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 97 < / anicnt >
< imonth > 1 < / imonth >
January < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 81 < / anicnt >
< imonth > 2 < / imonth >
February < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 105 < / anicnt >
< imonth > 3 < / imonth >
March < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 83 < / anicnt >
< imonth > 4 < / imonth >
April < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 75 < / anicnt >
< imonth > 5 < / imonth >
May < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 67 < / anicnt >
< imonth > 6 < / imonth >
June < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > Adoptions < / cue >
< 65 > anicnt < / anicnt >
< imonth > 7 < / imonth >
July < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 84 < / anicnt >
< > 8 imonth < / imonth >
August < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 62 < / anicnt >
< imonth > 9 < / imonth >
September < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 69 < / anicnt >
< imonth > 10 < / imonth >
October < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 81 < / anicnt >
< > 11 imonth < / imonth >
November < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 95 < / anicnt >
< > 12 imonth < / imonth >
December < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 96 < / anicnt >
< imonth > 1 < / imonth >
January < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 90 < / anicnt >
< imonth > 2 < / imonth >
February < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 77 < / anicnt >
< imonth > 3 < / imonth >
March < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 69 < / anicnt >
< imonth > 4 < / imonth >
April < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 80 < / anicnt >
< imonth > 5 < / imonth >
May < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 72 < / anicnt >
< imonth > 6 < / imonth >
June < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 90 < / anicnt >
< imonth > 7 < / imonth >
July < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 80 < / anicnt >
< > 8 imonth < / imonth >
August < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 62 < / anicnt >
< imonth > 9 < / imonth >
September < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 63 < / anicnt >
< imonth > 10 < / imonth >
October < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 76 < / anicnt >
< > 11 imonth < / imonth >
November < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 74 < / anicnt >
< > 12 imonth < / imonth >
December < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 92 < / anicnt >
< imonth > 1 < / imonth >
January < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 78 < / anicnt >
< imonth > 2 < / imonth >
February < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 87 < / anicnt >
< imonth > 3 < / imonth >
March < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 91 < / anicnt >
< imonth > 4 < / imonth >
April < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 77 < / anicnt >
< imonth > 5 < / imonth >
May < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 83 < / anicnt >
< imonth > 6 < / imonth >
June < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 108 < / anicnt >
< imonth > 7 < / imonth >
July < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 98 < / anicnt >
< > 8 imonth < / imonth >
August < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 72 < / anicnt >
< imonth > 9 < / imonth >
September < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 103 < / anicnt >
< imonth > 10 < / imonth >
October < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 94 < / anicnt >
< > 11 imonth < / imonth >
November < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 97 < / anicnt >
< > 12 imonth < / imonth >
December < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 99 < / anicnt >
< imonth > 1 < / imonth >
January < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 2 < / anicnt >
< imonth > 1 < / imonth >
January < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 99 < / anicnt >
< imonth > 2 < / imonth >
February < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 125 < / anicnt >
< imonth > 3 < / imonth >
March < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 120 < / anicnt >
< imonth > 4 < / imonth >
April < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 133 < / anicnt >
< imonth > 5 < / imonth >
May < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 128 < / anicnt >
< imonth > 6 < / imonth >
June < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 2 < / anicnt >
< imonth > 6 < / imonth >
June < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 108 < / anicnt >
< imonth > 7 < / imonth >
July < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 144 < / anicnt >
< > 8 imonth < / imonth >
August < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 104 < / anicnt >
< imonth > 9 < / imonth >
September < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 116 < / anicnt >
< imonth > 10 < / imonth >
October < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 108 < / anicnt >
< > 11 imonth < / imonth >
November < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 220 < / anicnt >
< > 12 imonth < / imonth >
December < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 2 < / anicnt >
< > 12 imonth < / imonth >
December < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 149 < / anicnt >
< imonth > 1 < / imonth >
January < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 1 < / anicnt >
< > 12 imonth < / imonth >
December < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2020 < / iyear >
< cue > Adoptions < / cue >
< anicnt > 1 < / anicnt >
< imonth > 1 < / imonth >
January < MNTH > < / MNTH >
< exp / >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > redemptions < / cue >
< anicnt > 79 < / anicnt >
< imonth > 1 < / imonth >
January < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > redemptions < / cue >
< anicnt > 76 < / anicnt >
< imonth > 2 < / imonth >
February < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > redemptions < / cue >
< anicnt > 67 < / anicnt >
< imonth > 3 < / imonth >
March < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > redemptions < / cue >
< anicnt > 35 < / anicnt >
< imonth > 4 < / imonth >
April < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > redemptions < / cue >
< anicnt > 81 < / anicnt >
< imonth > 5 < / imonth >
May < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > redemptions < / cue >
< anicnt > 45 < / anicnt >
< imonth > 6 < / imonth >
June < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > redemptions < / cue >
< anicnt > 52 < / anicnt >
< imonth > 7 < / imonth >
July < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > redemptions < / cue >
< anicnt > 70 < / anicnt >
< > 8 imonth < / imonth >
August < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > redemptions < / cue >
< anicnt > 62 < / anicnt >
< imonth > 9 < / imonth >
September < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > redemptions < / cue >
< anicnt > 71 < / anicnt >
< imonth > 10 < / imonth >
October < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > redemptions < / cue >
< anicnt > 56 < / anicnt >
< > 11 imonth < / imonth >
November < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > redemptions < / cue >
< 65 > anicnt < / anicnt >
< > 12 imonth < / imonth >
December < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > redemptions < / cue >
< anicnt > 82 < / anicnt >
< imonth > 1 < / imonth >
January < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > redemptions < / cue >
< anicnt > 66 < / anicnt >
< imonth > 2 < / imonth >
February < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > redemptions < / cue >
< anicnt > 102 < / anicnt >
< imonth > 3 < / imonth >
March < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > redemptions < / cue >
< anicnt > 62 < / anicnt >
< imonth > 4 < / imonth >
April < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > redemptions < / cue >
< anicnt > 55 < / anicnt >
< imonth > 5 < / imonth >
May < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > redemptions < / cue >
< anicnt > 64 < / anicnt >
< imonth > 6 < / imonth >
June < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > redemptions < / cue >
< anicnt > 48 < / anicnt >
< imonth > 7 < / imonth >
July < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > redemptions < / cue >
< anicnt > 44 < / anicnt >
< > 8 imonth < / imonth >
August < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > redemptions < / cue >
< anicnt > 48 < / anicnt >
< imonth > 9 < / imonth >
September < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > redemptions < / cue >
< anicnt > 68 < / anicnt >
< imonth > 10 < / imonth >
October < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > redemptions < / cue >
< anicnt > 71 < / anicnt >
< > 11 imonth < / imonth >
November < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > redemptions < / cue >
< anicnt > 38 < / anicnt >
< > 12 imonth < / imonth >
December < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > redemptions < / cue >
< anicnt > 78 < / anicnt >
< imonth > 1 < / imonth >
January < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > redemptions < / cue >
< anicnt > 58 < / anicnt >
< imonth > 2 < / imonth >
February < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > redemptions < / cue >
< anicnt > 75 < / anicnt >
< imonth > 3 < / imonth >
March < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > redemptions < / cue >
< anicnt > 74 < / anicnt >
< imonth > 4 < / imonth >
April < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > redemptions < / cue >
< anicnt > 59 < / anicnt >
< imonth > 5 < / imonth >
May < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > redemptions < / cue >
< anicnt > 57 < / anicnt >
< imonth > 6 < / imonth >
June < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > redemptions < / cue >
< anicnt > 48 < / anicnt >
< imonth > 7 < / imonth >
July < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > redemptions < / cue >
< anicnt > 66 < / anicnt >
< > 8 imonth < / imonth >
August < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > redemptions < / cue >
< anicnt > 88 < / anicnt >
< imonth > 9 < / imonth >
September < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > redemptions < / cue >
< anicnt > 92 < / anicnt >
< imonth > 10 < / imonth >
October < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > redemptions < / cue >
< anicnt > 86 < / anicnt >
< > 11 imonth < / imonth >
November < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > redemptions < / cue >
< anicnt > 91 < / anicnt >
< > 12 imonth < / imonth >
December < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > redemptions < / cue >
< anicnt > 80 < / anicnt >
< imonth > 1 < / imonth >
January < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > redemptions < / cue >
< anicnt > 1 < / anicnt >
< imonth > 1 < / imonth >
January < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > redemptions < / cue >
< anicnt > 94 < / anicnt >
< imonth > 2 < / imonth >
February < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > redemptions < / cue >
< anicnt > 77 < / anicnt >
< imonth > 3 < / imonth >
March < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > redemptions < / cue >
< anicnt > 69 < / anicnt >
< imonth > 4 < / imonth >
April < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > redemptions < / cue >
< anicnt > 88 < / anicnt >
< imonth > 5 < / imonth >
May < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > redemptions < / cue >
< anicnt > 87 < / anicnt >
< imonth > 6 < / imonth >
June < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > redemptions < / cue >
< anicnt > 69 < / anicnt >
< imonth > 7 < / imonth >
July < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > redemptions < / cue >
< anicnt > 79 < / anicnt >
< > 8 imonth < / imonth >
August < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > redemptions < / cue >
< anicnt > 59 < / anicnt >
< imonth > 9 < / imonth >
September < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > redemptions < / cue >
< anicnt > 1 < / anicnt >
< imonth > 9 < / imonth >
September < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > redemptions < / cue >
< anicnt > 78 < / anicnt >
< imonth > 10 < / imonth >
October < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > redemptions < / cue >
< anicnt > 57 < / anicnt >
< > 11 imonth < / imonth >
November < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > redemptions < / cue >
< anicnt > 80 < / anicnt >
< > 12 imonth < / imonth >
December < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > redemptions < / cue >
< anicnt > 58 < / anicnt >
< imonth > 1 < / imonth >
January < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > redemptions < / cue >
< anicnt > 0 < / anicnt >
< imonth > 2 < / imonth >
February < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > redemptions < / cue >
< anicnt > 0 < / anicnt >
< imonth > 3 < / imonth >
March < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > redemptions < / cue >
< anicnt > 0 < / anicnt >
< imonth > 4 < / imonth >
April < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > redemptions < / cue >
< anicnt > 0 < / anicnt >
< imonth > 5 < / imonth >
May < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > redemptions < / cue >
< anicnt > 0 < / anicnt >
< imonth > 6 < / imonth >
June < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > redemptions < / cue >
< anicnt > 0 < / anicnt >
< imonth > 7 < / imonth >
July < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > redemptions < / cue >
< anicnt > 0 < / anicnt >
< > 8 imonth < / imonth >
August < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > redemptions < / cue >
< anicnt > 0 < / anicnt >
< imonth > 9 < / imonth >
September < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > redemptions < / cue >
< anicnt > 0 < / anicnt >
< imonth > 10 < / imonth >
October < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > redemptions < / cue >
< anicnt > 0 < / anicnt >
< > 11 imonth < / imonth >
November < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > redemptions < / cue >
< anicnt > 0 < / anicnt >
< > 12 imonth < / imonth >
December < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 1 < / imonth >
January < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 2 < / imonth >
February < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > rescue < / cue >
< anicnt > 2 < / anicnt >
< imonth > 3 < / imonth >
March < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > rescue < / cue >
< anicnt > 9 < / anicnt >
< imonth > 4 < / imonth >
April < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 5 < / imonth >
May < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > rescue < / cue >
< anicnt > 4 < / anicnt >
< imonth > 6 < / imonth >
June < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > rescue < / cue >
< anicnt > 1 < / anicnt >
< imonth > 7 < / imonth >
July < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< > 8 imonth < / imonth >
August < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 9 < / imonth >
September < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > rescue < / cue >
< anicnt > 6 < / anicnt >
< imonth > 10 < / imonth >
October < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > rescue < / cue >
< anicnt > 5 < / anicnt >
< > 11 imonth < / imonth >
November < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2006 < / iyear >
< cue > rescue < / cue >
< anicnt > 4 < / anicnt >
< > 12 imonth < / imonth >
December < MNTH > < / MNTH >
4th year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 1 < / imonth >
January < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > rescue < / cue >
< anicnt > 10 < / anicnt >
< imonth > 2 < / imonth >
February < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > rescue < / cue >
< anicnt > 4 < / anicnt >
< imonth > 3 < / imonth >
March < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > rescue < / cue >
< anicnt > 1 < / anicnt >
< imonth > 4 < / imonth >
April < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > rescue < / cue >
< anicnt > 3 < / anicnt >
< imonth > 5 < / imonth >
May < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > rescue < / cue >
< anicnt > 1 < / anicnt >
< imonth > 6 < / imonth >
June < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > rescue < / cue >
< anicnt > 2 < / anicnt >
< imonth > 7 < / imonth >
July < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > rescue < / cue >
< anicnt > 6 < / anicnt >
< > 8 imonth < / imonth >
August < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > rescue < / cue >
< anicnt > 8 < / anicnt >
< imonth > 9 < / imonth >
September < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 10 < / imonth >
October < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< > 11 imonth < / imonth >
November < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2007 < / iyear >
< cue > rescue < / cue >
< anicnt > 4 < / anicnt >
< > 12 imonth < / imonth >
December < MNTH > < / MNTH >
3rd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 1 < / imonth >
January < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 2 < / imonth >
February < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 3 < / imonth >
March < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 4 < / imonth >
April < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 5 < / imonth >
May < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 6 < / imonth >
June < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 7 < / imonth >
July < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< > 8 imonth < / imonth >
August < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 9 < / imonth >
September < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 10 < / imonth >
October < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< > 11 imonth < / imonth >
November < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2008 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< > 12 imonth < / imonth >
December < MNTH > < / MNTH >
2nd year < exp > < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 1 < / imonth >
January < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 2 < / imonth >
February < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 3 < / imonth >
March < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 4 < / imonth >
April < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 5 < / imonth >
May < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 6 < / imonth >
June < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 7 < / imonth >
July < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< > 8 imonth < / imonth >
August < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 9 < / imonth >
September < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 10 < / imonth >
October < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< > 11 imonth < / imonth >
November < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2009 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< > 12 imonth < / imonth >
December < MNTH > < / MNTH >
Year < exp > 1 < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > rescue < / cue >
< anicnt > 52 < / anicnt >
< imonth > 1 < / imonth >
January < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 2 < / imonth >
February < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 3 < / imonth >
March < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 4 < / imonth >
April < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 5 < / imonth >
May < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 6 < / imonth >
June < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 7 < / imonth >
July < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< > 8 imonth < / imonth >
August < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 9 < / imonth >
September < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< imonth > 10 < / imonth >
October < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< > 11 imonth < / imonth >
November < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
-< ROW >
< iyear > 2010 < / iyear >
< cue > rescue < / cue >
< anicnt > 0 < / anicnt >
< > 12 imonth < / imonth >
December < MNTH > < / MNTH >
< exp > 0 year < / exp >
< / ROW >
< / LINES >
my number of months is the imonth field in the dataset.
my bi datamodel Editor is:
Select posall.iyear as iyear,
posall. CUE as a benchmark,
posall.anicnt as anicnt,
posall.iMonth as imonth,
posall. MONTH to MONTH,
posall.exp as exp
of AnimalControl.Tracking.posall posall
order of cue, iyear, imonth
The closest I could get to this result is the following
I created my pivot table with the columns of iyear
I have a defined lines as a guide, imonth and mnth showing the anicnt.
2006 2007 2008 2009 2010
964 929 1080 1510 150 adoptions
1 97 96 92 101 149
January 97 96 92 101 149
2 81 90 78 99 0
February 81 90 78 99 0
3 105 77 87 125 0
March 105 77 87 125 0
4 83 69 91 120 0
April 83 69 91 120 0
5 75 80 77 133 0
Peut 75 80 77 133 0
6 67 72 83 130 0
June 67 72 83 130 0
7 65 90 108 108 0
July 65 90 108 108 0
8 84 80 98 144 0
August 84 80 98 144 0
9 62 62 72 104 0
September 62 62 72 104 0
10 69 63 103 116 0
October 69 63 103 116 0
11 81 76 94 108 0
November 81 76 94 108 0
12 95 74 97 222 1
December 95 74 97 222 1
759 748 872 919 58 redemptions
1 79 82 78 81 58
January 79 82 78 81 58
2 76 66 58 94 0
February 76 66 58 94 0
3 67 102 75 77 0
March 67 102 75 77 0
4 35 62 74 69 0
April 35 62 74 69 0
5 81 55 59 88 0
May 81 55 59 88 0
6 45 64 57 87 0
June 45 64 57 87 0
7 52 48 48 69 0
July 52 48 48 69 0
8 70 44 66 79 0
August 70 44 66 79 0
9 62 48 88 60 0
September 62 48 88 60 0
10 71 68 92 78 0
October 71 68 92 78 0
11 56 71 86 57 0
November 56 71 86 57 0
12 65 38 91 80 0
December 65 38 91 80 0
Rescue 31 39 0 0 52
1 0 0 0 0 52
January 0 0 0 0 52
2 0 10 0 0 0
February 10 0 0 0 0
3 2 4 0 0 0
March 2 4 0 0 0
4 9 1 0 0 0
April 9 1 0 0 0
5 0 3 0 0 0
May 3 0 0 0 0
6 4 1 0 0 0
June 4 1 0 0 0
7 1 2 0 0 0
July 1 2 0 0 0
8 0 6 0 0 0
August 0 6 0 0 0
9 0 8 0 0 0
September 8 0 0 0 0
10 6 0 0 0 0
October 6 0 0 0 0
11 5 0 0 0 0
November 5 0 0 0 0
12 4 4 0 0 0
December 4 4 0 0 0
After trying many different things, it is overall results closest to you, I can get to what I need. If someone could help me please get the line that starts with a certain number of months, I would have the perfect result set. I'm new to BI Publisher and am stuck here. Thanks for your time.
Published by: ethel on April 5, 2010 08:35
Published by: ethel on April 5, 2010 08:38Hello
Create a copy of the PivotTable (or a copy of the RTF) you currently have and delete the imonth the pivot column. Then in the new PivotTable for the 'C' field, change the code as follows:
It sorts and then by column imonth but doesnot include the line with the number of the month and related data. If you want, I can send you the model. Provide your e-mail ID.
I used Tim's blog as reference; http://blogs.Oracle.com/XmlPublisher/2010/03/new_skool_crosstabbing.html
Award points if helpful/correct.
Thank you!
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Availbale in data in a table view and not the view of Pivot.
All,
For a request in BI answers, I am able to get the data with all the passes, b, c, d, e, f in Tableview in Pivot mode when I tried I'm not get the values. I have excluded col a, b, c & I only d as line & e as measure & f as the column.
d dimension
e fact data.
f date
I get the size & the displayed data, but I'm not able to see the data/fact - e?
WHT could be the reason? Did I miss something?Hello
Pivot table-> measure column-> click more-> set aggregation rule (e.g. sum, count etc...) and check
See you soon,.
Aravind -
For Timo: Dynamically create pivot table binding
Hi Timo,
Long time ago you have this announcement on a thread:
"The solution for your use a 2013 DOAG case, I presented was to create binding table pivot out user defined attributes in the table."
For the defined attributes, VO is created dynamically and the pivot link.
The pivot link is exchanged during execution as well as the activation of the adequate VO Dynamics to get only the
necessary data for the pivot table in particular.
......
I can't give you a working example because it is too complex. I can make available slides, but they are in German. "
We have the same problem.
Can you please send me this presentation on: email address removed by the moderator - there is no private through this public forum consultation >
I can't find this Presentation on the Internet.
Maybe, if you have some examples of simple work, too.
Kind regards
Diana
Diana, you can get the DOAG2013_DynamicPivotTable_virtual7 blades | JDev & ADF Goodies
The sample is too complex to be made available through my blog.
Timo
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How to get the QDR of ADF Pivot table datacell
JDeveloper 11.1.1.5 version
Java 1.6
The ADF faces
I want to click commandlink in a data cell that sends the value of the header cells to a bean of support. I think that we must get the QDR of a clicked data cell, but how?
I created the PivotTable: column headers consist of a variable number of dates; row headers consist of the names of the units. The data that cross are a percentage of variance using energy over time. (There is no calculation in the PivotTable, just displaying data from the view).
........ 11 Jan 12 13 Jan Jan jan 14. .etc
Module-1 2.00 5, 25 - 9.30-11.15
Unit-2 - 554.22 497.00 7.70 2.00
Unit-3 10.00 - 5, 00 5.00 1.00
To the cell above it with 497.00 value, the user must click this value (commandlink) and the bean 1) calculate the values of the unit and the date to use as parameter values for ExecuteWithParams under another iterator and 2) navigate to another page using this another iterator.
It seems that the QDR (reference data) is involved, but can't find enough information about how to implement the same.
Here are the PivotTable on the jspx:
< dvt:pivotTable id = "pivotTable1".
Summary = "reading analytical pivot table.
value = "#{bindings." CdsaReadingsItfVwView1.pivotTableModel}.
var = 'cellData.
varStatus = "cellStatus" >
< dvt:dataCell >
< af:commandLink id = "cl".
Text = "#{cellData.DataValue} '"
action = "#{pivot_bean.commandlink_action}" / >
< / dvt:dataCell >
< / dvt:pivotTable >
In the bean, we try to getPivotTable(), but it is always null.
Any direction is welcome.
David KCheck how the PivotTable selection demo was created:
http://jdevadf.Oracle.com/ADF-richclient-demo/faces/feature/PivotTable/pivotTableSelection.JSPX
Code for this demo here:
http://www.Oracle.com/technetwork/developer-tools/ADF/documentation/ADF-faces-RC-demo-083799.html -
sorting data - more great temp tablespace and temporary tablespace
Hello
Using oracle 11.2.0.3 and have a general question.
If have a query which has to say read 100 million records and the Group results it takes a bigger temporary tablespace to sort these data
Rathet than agnist an identical query summed up version of table (mview) including 25% of this amount - gbe that same but cliniquesdans need to read much less lines.
s.EG
Thank you very muchselect dimesnion.attribute1, dimesnion,.attribute2..., sum(sales) from fact, dimension where .... group by dimesnion.attribute1, dimesnion,.attribute2
If I understand your question right, I think both group by must take the same temporary as space ' group by ' sorts data in the end after read data. As both the results of queries in the same number of lines, so group by clause will take same tablespace temporary unless there are fewer columns in the materialized view as the original table.
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Hello.
I have a pivot table, and it should update that I change the value of selectOneChoice. I can only view some data in a PivotTable when I choose a value for the first time in selectOneChoice. If I select another value in the SelectOneChoice the PivotTable that is not updated.
Here is my PivotTable:
Can someone help me?<dvt:pivotTable id="pivotTable1" value="#{bindings.TValoresMatrizEnViewUp1.pivotTableModel}" binding="#{backingBeanScope.backing_valoresMatriz.pivotTable1}" contentDelivery="immediate" var="matrix" visible="false" partialTriggers="::socCodigo" rendered="true" > <dvt:dataCell> <af:inputText value="#{matrix.dataValue}" valueChangeListener="#{backingBeanScope.backing_valoresMatriz.alteraPivot}" autoSubmit="true" partialTriggers="it5" id="it5"/> </dvt:dataCell> </dvt:pivotTable>
My JDeveloper is 11.1.1.4.0
Thank youHi Marcos,
Open your page definition and together in the iterator tag refresh properties = 'always' and cacheResults = "false"...
That that it will solve your problem.
Kind regards
Renan
-
10g pivot table out on the grant table
Hi, experts,
No there is no way to sort the pivot table according to the values in table of grant?
Thank you very much!example is necessary...
do you mean void totals?
I'm assuming you own m1, d1, d2, d3 etc and applying subtotals on d2 dimension...If so,.
create a column with fx:
sum (m1 d1, d2), then in the criteria tab himself sorting on... can it exclude pivot...If subtotals on d1 (d1 m1) just sum is enough...
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Pivot table dynamic table - chart axis of the show as "percent".
Hi all
I have a pivot table is generated, with the lines as year/month and columns like web browser. However I only watch 5 albums used, browsers so that used columns are dynamic.
I would like to show the graph as a 'percentage of line. I know that I can turn this on the data in the table, but it does not filter although in the graph. Does anyone know how to get there? Can you add the total of a line and use it in a formula?
Thanks in advanceHello
Not sure how the PivotTable, however we have may be able to pull this back as a separate column in the criteria tab which you can then use.
What is your metric name?Lets say you have Time.YearMonth, browser, count
Add another column, change the fx for this column and use sum (time.yearmonth County) - this will give you the total amount for the year regardless of browser.
Add another column and simply count / sum (time.yearmonth County) * 100 to get the percentage of the total for the year - plays about with using them in the pivot or you might get away with a straight table view?Hope this helps, another solution would be to implement a shaved basic measure to the RPD.
Published by: Alastair_PeakIndicators on March 31, 2010 08:26
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data from 3 tables with later dates
Hello
Need help with the PL/SQL code, I need to write a code that will get the data from 3 tables with the most recent date.
For an individual ACT_CODE the output of the SQL query should display the data including the last dates back to 3 tables, if there is no
Date of the table, it should show the remaining data (think that the left join will do here)
Names of tables:
Institution_UPDT aiu
AC ASQ_CONTACT
GR_AUTHORIZE gr
All 3 tables have ACT_Code in common
Column names
INSTITUTION_UPDT IAU - IAU. ACT_CODE, AIU.project_id as proj, IAU. UPDT_TYPE_ID, IAU. User_id, IAU. UPDT_DATE
ASQ_CONTACT ac - ac. ACT_CODE as contact_code, ac.project_id, ac.first_name, ac.middle_initial, ac.last_
Name, AC.title, AC. Status, AC.status_date
GR_AUTHORIZE gr - GR ACT_CODE as grad_code, gr.name, gr.title AS grad_title, gr.submit_date
Are the names of the columns date
AC.status_date,
IAU. UPDT_DATE and
Gr.submit_date
Thanks to you all
appreciate your help
JeshHi, Ngoumba,
If a given ACT_Code couldn't miss from any of the tables, then you will use better full outer joins, not a join left outer.
Perhaps it would be more effective to make a UNION of the three tables, then rotate the results in three datecolumns.
You can use the GROUP BY aggregation to get the last date for each ACT_Code in each table.
If you need other columns in the row which is the last date, you can use the ROW_NUMBER analytic function, like this:SELECT ACT_Code , updt_date , ROW_NUMBER () OVER ( PARTITION BY ACT_Code ORDER BY updt_date DESC ) AS r_num FROM institution_updt
The lines with r_num = 1 are the most recent
This is a technique of ot the UNION-PIVOT example:
WITH union_data AS ( SELECT ACT_Code , MAX (updt_date) AS last_date , 1 AS table_id FROM institution_updt GROUP BY ACT_Code UNION ALL SELECT ACT_Code , MAX (status_date) AS last_date , 2 AS table_id FROM ASQ_Contact GROUP BY ACT_Code UNION ALL SELECT ACT_Code , MAX (submit_date) AS last_date , 3 AS table_id FROM GR_Authorize GROUP BY ACT_Code ) SELECT ACT_Code , MAX (CASE WHEN table_id = 1 THEN last_date END) AS aiu_updt_date , MAX (CASE WHEN table_id = 2 THEN last_date END) AS ac_status_date , MAX (CASE WHEN table_id = 3 THEN last_date END) AS gr_submit_date FROM union_data GROUP BY ACT_Code ORDER BY ACT_Code ;
Published by: Frank Kulash, on September 16, 2009 15:02
Added UNION-pivot example -
Is it possible to combine and sort data in a foreach loop 2?
Hello
I have a rtf model in which I need to display the data in a table of the xml data file. I used 2 loops for each to show 2 portlets as xml data. Thus, there are 2 lines in the table with the first row with a foreach for portlet1 lines loop and second loop for each line retrieves lines from portlet2 to an xml file. Now I have to data table by date tro. Is it possible to combine and sort the data in those 2 loops for each?
Thank youHi Aditya,
Received your mail, responded with the required solution
don't use two separate loops, convert them to a single and sorting.
Let me know how it works ;)
It should work :)
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White column in responses: Pivot table see
Hello
Greetings to all here...
I use Oracle Business Intelligence Suite Enterprise Edition 10.1.3.4.
I have created a report, the problem is that it shows some columns as empty when I display the result in responses, Pivot table view, the technical details:
Column name: sales - MTD
The column formula: IFNULL ('-common measures ".") Business-MTD sales", 0.00)
Aggregation rule: default
sample data:
JAN Feb customer account number
7053 < white > 22.00
Data for Jan present in the database, infact for January, the column is not non-existent in databased, Feb is present and is displayed correctly.
The column is of type DOUBLE, I want to display 0.00 instead of white, asking for your help.
I did a search in the forum, but could not get a solution.Try this,
Go to your report, the column - common measures. "' Turnover - BAT" in data marker select custom format
and put it in #, # 0;-#, # 0; 0
I hope it will work.Concerning
Blackburn -
Gasoline and pivot table uses in OBIEE
Hello people,
Please help understand what PIVOTTABLE DYNAMIC and CALIBER in OBIEE answers
in what cases or scenario will be used for these things.
and what is the CASE in OBIEE, where it is used and what is its purpose.
Thanks in advance
JMsThe pivot table view is an interactive view which allows you to rotate the lines, columns and headers to get different perspectives of the data section. PivotTables is navigable and percables and is particularly useful for trend reports.
Gauges are useful to show the performance against objectives. Gauge types supported include dial and bar style light bulb gauges.
CASE statement is used for conditions, its use is the case when x = y end doubts... Its similar IF statement in programming.
-Madan
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How to load the large amount of data in 2 tables oracle ~ mill 6 lines-URGENT
Hi all
I have a file with lines of 6-8 million load us using a direct charge into a temporary table. Then we insert the missing data by research. The data in this temporary table are inserted/updated in table1.
for ex - we have:
Table1 (key1, key2, key3, key4, key5, col1, col2, col3)
Table2 (key1, key2, key3, col1, col2, col3) - the only diff between table1 and table2 is key4 and key5 (located in table 1).
First we insert/update data into temporary table table1.
Insertion: insert into table1
Select * from insert_table where (key1, key2, key3, key4, key5) IN
(select key1, key2, key3, key4, temporary_table key5
less
Select key1, key2, key3, key4, key5 from table1)
because me to (select all colulmns
of insert_table
less
Select all columns in table1)
loop
Update table1;
end loop;
Then we insert/update data into table2 from table1.
-the only difference in the insert/update is I use partiiton by making the sum of the columns non-cles and inserted the aggregated data in table2.
Insertion: insert into table2
Select key1...
sum (nonkey col) over (partition by key1, key2, key3)
FROM table1 where (key1, key2, key3) IN
(select key1, key2, key3 in table2
less
Select key1, key2, key3 in table1)
Update:
I'm in (select key1...
sum (nonkey col) over (partition by key1, key2, key3)
FROM table1 where (key1, key2, key3,) IN
(select key1, key2, key3 col1 in table2
less
Select col1, key1, key2, key3... from table1)
)
loop
Update table1;
end loop;
First we insert/update data into temporary table table1.
Insertion: insert into table1
Select * from insert_table where (key1, key2, key3, key4, key5) IN
(select key1, key2, key3, key4, temporary_table key5
less
Select key1, key2, key3, key4, key5 from table1)
because me to (select all colulmns
of insert_table
less
Select all columns in table1)
loop
Update table1;
end loop;
Data is loading properly - IF full charge. As the size of the file grows long OPS in Toad/Session browser - sorting becomes huge.
How can I improve the speed and make it better?You can consider using a single command to MERGE instead of your insert and the separate update loop if you're already on 9i.
In addition, you should consider generating statistics to a minimum on the insert_table using DBMS_STATS. GATHER_TABLE_STATS.
Kind regards
RandolfOracle related blog stuff:
http://Oracle-Randolf.blogspot.com/SQLTools ++ for Oracle (Open source Oracle GUI for Windows):
http://www.sqltools-plusplus.org:7676 /.
http://sourceforge.NET/projects/SQLT-pp/
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