I have a report (Pivot table) for which I have a value everyday. My goal is to calculate the variance every day and highlight with conditional styles.
1 jan. 23
2 jan. 23
3 jan. 23
5
25
42
I have a query who calculates the variance between days in % (which I dont want to put in the report).
My conditional style rule is [Table].[Pourcentage variation D-1] between 0,05 and 10.
Since my request is not in displayed my report, I have this error :
RSV-VAL-0032 The following expression is not valid. If the item exists
in a query but is not referenced in the layout, add it to a property
list.
The problem is that I don't have the "Proprety list" in my pivot table like in can have in a Data table.
How can I highlight my variance based on a request that I dont display in my Pivot table ?
Thanks for helping
Add the calculated field to the pivot table (I know you do not want this in the layout, this is just to test if that removes the error). See if the conditional style works the way you expect.
If so, change the column for the percentage data item to property, set box type to none. This way it is still something that can be referred to, but is hidden from the final result
Related
I'm not sure if my question is really stupid, but I found nothing on the internet...
Is it possible to insert a specific value in a cell of a matrix?
for example I have a dataset like below:
Month Prod Amount
2 X 34$
11 Y 12$
7 Z 150$
and a matrix like:
-------| Month |
Prduct |SUM(Amount)|
So the row group are products and column group are the months of a specific year.
If I want to add an extra column, with a specific value chosen dynamically from the amount (for xample 150$) so to have
-------| Month |columnName
Prduct |SUM(Amount)| 150
is that possible? also if the value is repeated through the column (it would be useful if I wanted the new column to have this specific value added for each value)
thanks a lot!! :D
You can insert a value directly in your matrix but it will be repeated for each record.
The best way is to add a new column with conditional values is to do this in your dataset query. Probably with a CASE statement if you are using SQL.
EDIT: If you can't adjust the query for whatever reason, you can add the new column and use SWITCH function inside your textbox to achieve the same.
I have a SSAS DSV similar to following structure:
Id Type Special
1 A 1
2 B Null
3 A Null
4 C 1
5 C Null
I built a dimension for this DSV including one attribute for Type.
Then I have in my cube three measures
Measure1: Count of rows
Measure2A: Sum of Special
Measure2B: Count of non-empty values for Special
Finally in Excel, I display data as following:
Rows --> Type attribute
Values --> Measure1 / Measure2A / Measure2B
When I look at the results, everything is correct.
For instance, I get a count of 1 for measure2A and measure 2B for row = C
BUT when I attempt to drill through for related cells, instead of getting 1 row, I get 2 (the ones where type = C without considering the value of Special)
I guess I am doing something wrong in my design of the cube but cannot understand what.
When determining what rows to show in drillthrough SSAS only considers the dimension context not which detail rows have a non null measure value.
You could add a new dimension on the Special column and add that dimension as a filter to your PivotTable.
Or you could install ASSP and construct a custom rowset action that fires an MDX query which does a NON EMPTY on your measure.
http://asstoredprocedures.codeplex.com/wikipage?title=Drillthrough&referringTitle=Home
I need to create a "Variance" column in qlikview:
2013 2014 Variance
Measure 1 100 110 10%
Measure 2 105 100 -4.8%
...
Can this be done in Qlikview with just one "Calculated dimension" column that says something like:
[Value for Column2]/[Value for Column 1] - 1
So that it works for any new measures I add in the table and regardless of what the column 1 and column 2 are?
EDIT:
Sample Data:
Year Measure1 Measure2
2012 9750 197
2013 10000 200
2014 11000 210
2015 11500 215
I need the output to be structured as shown below with the Variance column as a calculation between 2 selected Year dimension values.
You can do this with the Column() function.
Column(2) / Column(1)
The number refers to the Expression column -- first Expression is #1, etc. Dimension columns are not counted.
An alternative that is insensitive to column postion, you can use column labels in the expression. Assume expressions with labels of "Sales" & "Margin". The variance expression can be written as:
[Margin] / [Sales]
I am 99% certain there is no built in function to do it.
I've played with a few options I thought might work, but only this is proving of any use.
I've defined the 2 calculated dimensions as variables Year1 and Year2 which I change through an input box. Then the simple calculated dimension =[$(Year2)]-[$(Year1)] gives me a new dimension of the variances.
This assumes the Measure is something that comes from the data, something like this, and now you just want to display it over varying years. I haven't considered what to do if the measures are all expressions.
Here is how to do it using variables and expressions. This will create 2 new columns that will look like a new dimension but will actually be defined by the use of an if() statement.
First step in the script we need to create a dimension that has the Measures in it. this should not associate to any of the column already in the data. (UDR stands for User Defined Report). the dual just allows us to define a sort order that is not alphabetical.
UDR:
load dual(UDR,Sort) as Rows inline [
UDR, Sort
Measure1, 1
Measure2, 2];
the result should be something like this.
Next step is creating the 2 variables for the years.
I do this in the script, but you could use any method of variable creation.
set vMaxYear="=max(Year)";
set vMinYear="=min(Year)";
Now we use the field Rows as the dimension.
And we need to create an expression for the max selected year. Notice that the first if() is testing which rows of the UDR the expression is on and then the definition of the expression for that line is provided. The second if() is testing the year dimension against the variable vMaxYear which will change as selections are made. Min year is the same just replace vMaxYear with vMinYear.
if(Rows='Measure1',sum(if(Year=vMaxYear,Measure1)),
if(Rows='Measure2',sum(if(Year=vMaxYear,Measure2))))
Lastly we use the column() function to calculate the variance in the third expression.
column(1)/column(2)
To make the expression labels dynamic I simply add =vMinYear into the label.
The result is this table, that will respond to my selections in the year list box.
2013 vs 2014
2014 vs 2015
I have a report with a static choice on the prompt page. The user can choose 'Full Detail', or 'Summarised'.
For a simplified example, say my report has these columns: Customer, Product, Date, Quantity, Value.
I would like to be able to show/hide the Date column based on the detail level choice, and have the Quantity and Value columns aggregate into a single Customer/Product line. I know how to show/hide the column (tying the choice variable to the column's Render Variable), but this does not do the aggregation, only makes the column invisible.
I have thought about doing a separate report page for Full Detail and Summary, but in my actual report I have a second choice box with which the user can choose a field to summarise by (e.g. Customer or Product), and the report will section-group by that field. At the moment I am doing that one per page (5 of them). Doing the detail choice the same way would mean I would need 10 pages. There is surely a better way.
Full detail:
Customer Product Date Qty Value
ABCD Things 22/10/2014 10 1.00
21/10/2014 40 4.00
23/10/2014 50 5.00
Summarised (How it looks at the moment, after hiding the Date column):
Customer Product Qty Value
ABCD Things 10 1.00
40 4.00
50 5.00
Summarised (How I would like it to look):
Customer Product Qty Value
ABCD Things 100 10.00
I am using Cognos Report Studio 10.1.1
You should not just hide column.
You should also set same value for this column in all rows
Instead of just [Date] in this column set
if (?HideDate? = 1) then ('') else ([Date])
or, if you prefer CASE
case ?HideDate? when 1 then '' else [Date] end
replace ?HideDate? = 1 with you own condition
Alexey's answer is great if you are using the standard Cognos 'auto-group and summarize' functionality.
If you have a custom aggregate that includes the [Date] column in its definition, you might squeeze a bit of performance gain out of modifying the aggregate function itself to disregard the [Date] column when a summarized total is desired.
If your aggregate function was:
total([Value] for [Customer],[Product],[Date])
..you might change this to a CASE statement like so:
CASE ?HideDate?
WHEN 1 then total([Value] for [Customer],[Product])
ELSE total([Value] for [Customer],[Product],[Date])
END
The data items after a 'for' clause usually end up in a GROUP BY clause in the resultant SQL. Limiting the items grouped, when possible, can help performance. In this case the performance improvement would likely be slight since there will only be one distinct value in Alexey's solution, but it's something to consider.
Anyone have advice on how to build an average measure that is dynamic -- it doesn't specify a particular slice but instead uses your current view? I'm working within a front-end OLAP viewer (Strategy Companion) and I need a "dynamic" implementation based on the dimensions that are currently filtered in the data view.
My fact table looks something like this:
Key AmountA IndicatorA AmountB Other Data
1 5 1 null 25
2 6 1 null 52
3 7 1 2 106
4 null 0 4 108
Now I can specify a simple average for "[Measures].[AmountA]" with "[Measures].[AmountA] / [Measures].[IndicatorA]" which works great - "[IndicatorA]" sums up to the number of non-null values of "[AmountA]". And this also works great no matter what dimensions are selected in the view - it always divides by the count of rows that have been filtered in.
But what about [AmountB]? I don't have a null indicator column. I want to get an average value of [AmountB] for whatever rows have been filtered in for my current view. If I try to use the count of rows as a simple formula (psuedo-code "[Measures].[AmountB] / Count([Measures].[Key])") I get the wrong result, because it is counting all the null rows in the average.
So, I need a way to use the AVG function to specify the average of [AmountB] over the set of "whatever rows I'm currently filtering in, based on whatever dimensions I'm currently using". How do I specify this dynamic set?
I've tried several different uses of the AVG function and they have either returned null or summed up to huge numbers, clearly not the average I'm looking for.
Thanks-
Matt
Sorry, my first suggestion was wrong. If you don't have access to OLAP cube you can't write any mdx-query for this purpose (IMHO). Because, you don't have any detailed data (from your fact table) in this access level and you can use only aggregated data and dimensions from your cube.
Otherwise (if you have access to olap db), you can create this metric (count of not NULL rows) in your measure group and after that use it for AVG calculation (as calculated member in your cube or in section "WITH" in your mdx-query).