Is it possible to get the average value of each straight table and get the average again?
Example: Avg(1.99%+3.66%+3.49%+2.26%+2.14%+2.61%+5.54%+3.11%+2.92%+1.06%)
It depends on the complexity of your table expressions, but the general Idea is to "simulate" your straight/pivot table totals via an aggr functions:
for example, for Table where the dimension is Week and the expressions is "sum(val)", you could do something like this in a variable:
avg(aggr( sum(val), Week))
if you have multiple dimensions in a Table, then just add them to the aggr fragmentation (ie: avg(aggr( sum(val), Week,Group)))
then run all these calc/variables in rangeAvg
In your case you could do something like:
rangeAvg(
aggr(Sum({$<[A]={$(=vVariable1)}, [Group]={'TableA'}>} [Duration])/Sum({$<[A]={'*'}, [Group]={'TableA'}>} [Duration]),Week),
aggr(Sum({$<[A]={$(=vVariable1)}, [Group]={'TableA'}>} [Duration])/Sum({$<[A]={'*'}, [Group]={'TableA'}>} [Duration]),MonthYear),
aggr(Sum({$<[A]={$(=vVariable1)}, [Group]={'TableA'}>} [Duration])/Sum({$<[A]={'*'}, [Group]={'TableA'}>} [Duration]),Year)
)
side note: I wont get into vb macro as it is only relevant to qlikview and cannot be used in qliksense, but in general it is possible to access cell values via vb
Related
I am trying to create a formula in Calculated measure but none is working correctly
Dimension Cell has multiple members including Control and Core. I also have measure called [Measures].[Rate] which is precalculated as percentage
I need to achieve below formula
(([Measures].[Rate] in [Cell].[ABC].&[Control] and [Cell].[ABC].&[Core])
- ([Measures].[Rate] not in [Cell].[ABC].&[Control] and [Cell].[ABC].&[Core]))
/ ([Measures].[Rate] in [Cell].[ABC].&[Control] and [Cell].[ABC].&[Core])
Something like (A+B)/A but I am not able to calculate individual A and B.
Please note [Measures].[Rate] is in percentage format so cannot be summed up
EDIT
Also any idea if the same above has to be done with two slices from different dimension for single measure
eg.
([Measures].[Rate] in [Cell].[ABC].&[Control] and [Cell].[ABC].&[Core] also in [Data].[PQR].&[Yes])
or
SUM (
{ [Cell].[ABC].&[Control] , [Cell].[ABC].&[Core] }
,{[Data].[PQR].&[Yes])}
,[Measures].[A]
)
Is above workable or what will be its syntax
Uhmm maybe something like:
CREATE MEASURE [Measures].[SpecialRate]
AS
AGGREGATE({[Cell].[ABC].&[Control],[Cell].[ABC].&[Core]}, [Measures].[Rate])
- AGGREGATE(EXCEPT([Cell].[ABC].MEMBERS,{[Cell].[ABC].&[Control],[Cell].[ABC].&[Core]}), [Measures].[Rate])
/ AGGREGATE({[Cell].[ABC].&[Control],[Cell].[ABC].&[Core]}, [Measures].[Rate])
,VISIBLE = 1;
The easiest way is to redesign the Cell dimension to include a new rollup column which includes both Control and Core into one rollup.
If that's not feasible and you have to do it in MDX then one way is to create a calculated measure on the dimension and then use it:
CREATE MEMBER CurrentCube.[Cell].[ABC].[All].[Control and Core] as
AGGREGATE({[Cell].[ABC].&[Control], [Cell].[ABC].&[Core]})
,VISIBLE=0;
CREATE MEMBER CurrentCube.[Cell].[ABC].[All].[Not Control and Core] as
AGGREGATE(-{[Cell].[ABC].&[Control], [Cell].[ABC].&[Core]})
,VISIBLE=0;
CREATE MEMBER CurrentCube.[Measures].[My Calc] as
(([Measures].[Rate], Cell].[ABC].[All].[Control and Core])
- ([Measures].[Rate], Cell].[ABC].[All].[Not Control and Core]))
/ ([Measures].[Rate], Cell].[ABC].[All].[Control and Core]);
How to write this expression in PowerBI
select distinct([date]),Temperature from Device47A8F where Temperature>25
Totally new to PowerBI. Is there any tool that can change the query from sql to PowerBI expression?
I have tried so many type of different type of expressions but getting error, Most of the time I am getting this:
The expression refers to multiple columns. Multiple columns cannot be converted to a scalar value.
Need help, Thanks.
After I posted my answer, wondered if your expected result is get only one date by temperature, In other words, without repeated dates in your result set.
A side note: select distinct([date]),Temperature from Device47A8F where Temperature>25 returns repeated dates since DISTINCT keyword evaluate distinct columns values specified in the SELECT statement, it doesn't return distinct values in a specific column even if you surround it with parenthesis.
Now what brings us here. What I can see in your error is that you are trying to use a table-valued (produces a table with multiple columns) expression in a measure which only accepts scalar-valued (calculate only one value).
Supposing you have a table like this:
Running your SQL query you will get the highlighted in yellow rows:
You can see 01/09/2016 date is repeated. If you want to create a measure you have to define what calculation you want to show for temperature. i.e, average, max or min etc.
In the below expression is being calculated the maximum temperature greater than 25 per date:
MaxTempGreaterThan25 =
CALCULATE ( MAX ( Device47A8F[Temperature] ), Device47A8F[Temperature] > 25 )
In this case the measure MaxTempGreaterThan25 is calculated per date.
If you don't want to produce a measure but a table. In the Power BI Tool bar select Modeling tab and click New Table icon.
Use this expression:
MyTemperatureTable =
FILTER ( Device47A8F, Device47A8F[Temperature] > 25 )
It should produce a new table named MyTemperatureTable like this:
I recommend you learn some basics about DAX, it is pretty different from SQL / T-SQL and there are things you can't do depending on your model and data.
Let me know if this helps.
You probably don't need to write any code if your objective is to show the result in a Power BI visual e.g. a table. Power BI naturally aggregates data if the datatype is numeric (e.g. Temperature).
I would just add a Table visual on a Report page and add the Date and Temperature columns to it. Then in Visualizations / Fields / Values I would click the little down-arrow on the Temperature field and set the Aggregation e.g. Maximum. Then in Visualizations / Fields / Filters I would click the little down-arrow on the Temperature field and set the Filter e.g. is greater than: 25
Hard-coded solutions are unlikely to survive the next question from your users e.g. "but what if I want to see Temperature > 24? Or 20? Or 30?"
I'm building a cube in MS BIDS. I need to create a calculated measure that returns the weighted-average of the rank value weighted by the number of searches. I want this value to be calculated at any level, no matter what dimensions have been applied to break-down the data.
I am trying to do something like the following:
I have one measure called [Rank Search Product] which I want to apply at the lowest level possible and then sum all values of it
IIf([Measures].[Searches] IS NOT NULL, [Measures].[Rank] * [Measures].[Searches], NULL)
And then my weighted average measure uses this:
IIf([Measures].[Rank Search Product] IS NOT NULL AND SUM([Measures].[Searches]) <> 0,
SUM([Measures].[Rank Search Product]) / SUM([Measures].[Searches]),
NULL)
I'm totally new to writing MDX queries and so this is all very confusing to me. The calculation should be
([Rank][0]*[Searches][0] + [Rank][1]*[Searches][1] + [Rank][2]*[Searches][2] ...)
/ SUM([searches])
I've also tried to follow what is explained in this link http://sqlblog.com/blogs/mosha/archive/2005/02/13/performance-of-aggregating-data-from-lower-levels-in-mdx.aspx
Currently loading my data into a pivot table in Excel is return #VALUE! for all calculations of my custom measures.
Please halp!
First of all, you would need an intermediate measure, lets say Rank times Searches, in the cube. The most efficient way to implement this would be to calculate it when processing the measure group. You would extend your fact table by a column e. g. in a view or add a named calculation in the data source view. The SQL expression for this column would be something like Searches * Rank. In the cube definition, you would set the aggregation function of this measure to Sum and make it invisible. Then just define your weighted average as
[Measures].[Rank times Searches] / [Measures].[Searches]
or, to avoid irritating results for zero/null values of searches:
IIf([Measures].[Searches] <> 0, [Measures].[Rank times Searches] / [Measures].[Searches], NULL)
Since Analysis Services 2012 SP1, you can abbreviate the latter to
Divide([Measures].[Rank times Searches], [Measures].[Searches], NULL)
Then the MDX engine will apply everything automatically across all dimensions for you.
In the second expression, the <> 0 test includes a <> null test, as in numerical contexts, NULL is evaluated as zero by MDX - in contrast to SQL.
Finally, as I interpret the link you have in your question, you could leave your measure Rank times Searches on SQL/Data Source View level to be anything, maybe just 0 or null, and would then add the following to your calculation script:
({[Measures].[Rank times Searches]}, Leaves()) = [Measures].[Rank] * [Measures].[Searches];
From my point of view, this solution is not as clear as to directly calculate the value as described above. I would also think it could be slower, at least if you use aggregations for some partitions in your cube.
I have a query to pull clickthrough for a funnel, where if a user hit a page it records as "1", else NULL --
SELECT datestamp
,COUNT(visits) as Visits
,count([QE001]) as firstcount
,count([QE002]) as secondcount
,count([QE004]) as thirdcount
,count([QE006]) as finalcount
,user_type
,user_loc
FROM
dbname.dbo.loggingtable
GROUP BY user_type, user_loc
I want to have a column for each ratio, e.g. firstcount/Visits, secondcount/firstcount, etc. as well as a total (finalcount/Visits).
I know this can be done
in an Excel PivotTable by adding a "calculated field"
in SQL by grouping
in PowerPivot by adding a CalculatedColumn, e.g.
=IFERROR(QueryName[finalcount]/QueryName[Visits],0)
BUT I need give the report consumer the option of slicing by just user_type or just user_loc, etc, and excel will tend to ADD the proportions, which won't work b/c
SUM(A/B) != SUM(A)/SUM(B)
Is there a way in DAX/MDX/PowerPivot to add a calculated column/measure, so that it will be calculated as SUM(finalcount)/SUM(Visits), for any user-defined subset of the data (daterange, user type, location, etc.)?
Yes, via calculated measures. calculated columns are for creating values that you want to see on rows/columns/report header...calculated measures are for creating values that you want to see in the values section of a pivot table and can slice/dice by the columns in the model.
The easiest way would be to create 3 calculated "measures" in the calculation area of the powerpivot sheet.
TotalVisits:=SUM(QueryName[visits])
TotalFinalCount:=SUM(QueryName[finalcount])
TotalFinalCount2VisitsRatio:=[TotalFinalCount]/[TotalVisits]
You can then slice the calculated measure [TotalFinalCount2VisitsRatio] by user_type or just user_loc (or whatever) and the value will be calculated correctly. The difference here is that you are explicitly telling the xVelocity engine to SUM-then-DIVIDE. If you create the calculated column, then the engine thinks you want to DIVIDE-then-SUM.
Also, you don't have to break down the measure into 3 separate measures...it's just good practice. If you're interested in learning more, I'd recommend this book...the author is the PowerPivot/DAX guru and the book is very straightforward.
Being an SSAS newbie, I was wondering if it's possible to create a calculated member that references an individual row's value as well as the aggregated value in order to create a percentage?
For example, if I have a fact table with ValueA, I'd like to create a calculate member that essentially performed:
[Measures].[ValueA] (for each row I've sliced the data by) / [Measures].[ValueA] (the total)
Also I'd like to keep the total as the sum of whatever's been filtered in the cube browser. I feel certain this must be possible but I'm clearly missing something.
You can use the Axis function. Her is an example:
WITH MEMBER [Measures].[Percentage] AS
[Measures].[ValueA] / (Axis(1).CurrenMember.Parent, [Measures].[ValueA])
SELECT {[Measures].[ValueA], [Measures].[Percentage]} ON 0,
'what you want' ON 1
FROM your cube
(You may need to add check in the calculated member expression)