Time Dimension Using Multiple Columns - time

In my relational table, I have dates in columns dt_X and dt_Q and a boolean flag.
For my time dimension in my SSAS cube, I want it to use dt_X if the boolean flag is true; otherwise use dt_Q.
How can I can I do this?

In your Data Source View for Time Dimension, add a Named Calculation like:
CASE Flag
WHEN 1
THEN dt_X
ELSE dt_Q
END
And use this as the source column for the required attribute.

Related

DAX Measure: True/False for selected column names

How to write measure that could filter Matrix based on True values in selected column names?
Example (download):
Estimated result: want to see only rows with Football = True
P.S. Field parameters are used to create slicer with column names
You'll need to fix this in the data model by introducing a Customer_Sport linking table with bi-directional cross-filtering to Customer.

Power Query - conditional replace/clear entire cell in multiple columns

I'm trying to clear the entire cell if it doesn't contain a given keyword.
I've managed to do this for one column:
Table.ReplaceValue(#"PrevStep",each [#"My Column"], each if Text.PositionOf([#"My Column"],"keyword")>-1 then [#"My Column"] else null,Replacer.ReplaceValue,{"My Column"})
The problem is I need to iterate/repeat that step for a number of columns... the number of columns may vary and column names also may be different every time. I can have all those column names put into a list but I'm not able to use it.
The solution I'm looking for may look like this
for each ColNam in MyColumnsList
Table.ReplaceValue(#"PrevStep",each [#"ColNam"], each if Text.PositionOf([#"ColNam"],"keyword")>-1 then [#"ColNam"] else null,Replacer.ReplaceValue,MyColumnsList)
next
but this is not the VBA code but Power Query M - and of course the problem is with #PrevStep as I would see it like a recursions... again... do not know how to process.
Is the path I follow correct or should it be done some other way
Thanks
Andrew
Unpivot your columns to turn all the columns into two columns. Apply your replacement to the single value column then pivot it back into the original format

How to compare columns in a new column

I have a recordset where rows have a date field.Rows are from current year and last year. I want to see the count of rows per year. That's easy. Now I'd like to have a third column with difference (count(currentYear) - count(lastYear)). Is there any way to achieve this?
thanks
It seems like you want to have the difference calculated between two members of the same date field.
If so, you might want to consider the customizeCell() API call to retrieve the count values of each year, use them to calculate the difference, and modify the necessary cells with the result.
Alternatively, you could try modifying your data set so that the lastYear and currentYear are two different fields – this, for example, would allow you to compare them within a calculated value.

DAX: Use measure outcome to populate calculated column without recalculating measure per row

I have two tables in PowerBI. One called 'Fact_WorstInstance' contains rows of (Index,Instance). For example:
1,2
2,1
3,2
One called 'Fact_AllInstances' contains rows of (Index,Instance,Value). For example:
1,1,'Red'
1,2,'Green'
2,1,'Amber'
2,2,'Red'
2,3,'Brown'
3,1,'Green'
3,2,'Blue'
The first table is essentially a pointer to the worst entry in the second table for the given index (as categorised by some external system).
There is a slicer on which Indexes are visible to the user.
What I want to do is find the worst instance value for the highest visible Index in the 'Fact_WorstInstance' table, and then get all the Index and Value rows from the 'Fact_AllInstances' table for that Instance.
For example, if the slicer isnt filtering then (3,2) should be the active row from from the 'Fact_WorstInstance' table and this should be used to get Instance 2 from the 'Fact_AllInstances' table
1,2,'Green'
2,2,'Red'
3,2,'Blue'
from the 'Fact_AllInstances' table.
I tried to do this in many different ways, by creating a measure on the 'Fact_WorstInstance' which gives the highest visible row. And then use this measure to create a calculated column on the 'Fact_AllInstances', with 1 for worst and 0 for not worst. And then use this calculated column as a filter in PowerBI.
The measure itself gives the expected value. The problem I have is when the measure is used to create the calculated column, I cannot find a way to stop the Index being filtered based on the row of calculated column - and therefore the measure outcome changes for each row.
My measure:
Worst Entry = CALCULATE(FIRSTNONBLANK(Fact_WorstInstance[Instance],1),filter(ALLSELECTED(Fact_WorstInstance),Fact_WorstInstance[Index]=MAX(Fact_WorstInstance[Index])))
My column:
WorstColumn = if(Fact_AllInstances[Instance]=[Worst Entry],1,0)
So instead of getting the output above, I get
1,2,'Green'
2,1,'Amber' --> because for Index 2, the measure gives index 1 as worst
3,2,'Blue'
This is a possible solution you might want to implement.
First of all, calculated columns are not affected by slicers/page filters, you will need to create a measure for that, so the way your are appraching the problem won't work.
Create an additional calculated table that holds unique instances values. In Power BI, Modeling tab there is a icon for creating a New Table, where you can use an expression to produce the table.
Use this expression:
IsntancesCalcTable = VALUES(Fact_WorstInstance[Instance])
Now you have a table called InstancesCalcTable in your model.
Drag the Instance column in the InstancesCalcTable and drop it in the Instance column of the Fact_WorstInstance, this will create a relationship between InstancesCalcTable and Fact_WorstInstance via Instance. A line between both tables will be drawn in the Relationships view, double click that line and you will see the Edit Relationship window.
Make sure it looks like this:
Then do the same for creating the relationship between InstancesCalcTable and Fact_AllInstances.
You will end with a model like this:
Then you can use Index column in the Fact_WorstInstance table, in a slicer and it will filter the Fact_AllInstances table to get only the instances selected.
However if you don't have any filter all rows in Fact_AllInstances will be shown.

How do I specify columns to include in a matrix

I have a matrix that has a group filtered at the matrix level. I can't filter the SQL because it is very large and is used all over my report.
I need to be able to specify the columns to display after the filter is applied.
The end filter would look something like this
if ColumnA[value] IN Test1,Test2,Test3 OR ColumnB[name]
As you can see I want a value string filter and make sure ColumnB get displayed at all times.
Or being able to specify the columns to show in the matrix would work also.
You can filter at the dataset level: see here for more detail.
To filter a tablix, go into Tablix Properties and open up the Filters tab. You can write a Boolean expression (must evaluate to TRUE for the record to come into the Tablix) to do the filtering there.
I ended up using a tablix and creating columns for each column I wanted to display and rows for each row item. I then used a Count(IIF()) statement to match the specific item I needed to calculate for that cell. I wanted to use the matrix so it would not be so long winded but in the end I got the job done. I have since used this method on many occasions.

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