I have a column called "Normalize Data" which has 2 values "yes" and "no".
Requirement:
When the user clicks on "yes", I want my measure(called Prev_YR_Trans) to do one thing, but if the user clicks "no" I want the measure to do another thing.
Let me explain with an example - My measure Prev_YR_Trans displays the transactions for the previous time period. Let's the say current time period is "25", then it will display the transactions for time period "24". Now, if the user clicks on "Yes", then I want the previous year's transactions to get "normalized" i.e. I want it to get multiplied by the variance b/w the 2 time periods.
What I have tried:
Prev_YR_Trans =
#getting the current & previous time period from Table "X"
VAR prevSeason = CALCULATE(MAX('X'[Time Period]))-1
VAR maxSeason = CALCULATE(MAX('X'[Time Period]))
#getting variance b/w prev and current time periods
VAR maxSeason_footfall = CALCULATE(SUM('Y'[Park_Footfall]),'Y'[Time Period]=maxSeason)
VAR prevSeason_footfall = CALCULATE(SUM('Y'[Park_Footfall]),'Y'[Time Period]=prevSeason)
VAR footfall_variance = 1+((maxSeason_footfall-prevSeason_footfall)/prevSeason_footfall)
#trying to get the option that the user clicks on(?)
VAR bb = CALCULATE(('X'[Normalize data]))
#returns normalized numbers if user chooses "Yes" else returns actual numbers
RETURN
IF(bb="Yes",
CALCULATE(SUM('X'[Receipt Count]),'X'[Time Period]= prevSeason)*footfall_variance,
CALCULATE(SUM('X'[Receipt Count]),'X'[Time Period]= prevSeason)
)
In my above measure, the "VAR bb = CALCULATE(('X'[Normalize data]))" is giving me an error as it needs some aggregation like max,min,sum,etc.
How do I resolve my measure so that it displays the correct numbers?
Edit (Solved) More on "Normalize Data" column:
I've solved the "Normalize Data" column by creating a new table called "Normalize Slicer" with yes/no values. Here is the link
Also, if you could help me out with my "Normalize Data" column too then that would great!
So with the "Normalize Data" column - I just want it to display 2 options "Yes" and "No" but I realized I need to create it as a column for the slicer functionality to work.
So for my formula I'd like to display "Yes" if the "Time Period" is less than or equal to the previous time period and "No" otherwise.
I tried to do the following:
Normalize data = IF('X'[Time Period]<=(CALCULATE(MAX('X'[Time Period]))-1),"Yes","No")
But above column just displays "No" for all the values so as a workaround I manually entered the previous time period in the formula:
Normalize data = IF('X'[Time Period]<=24,"Yes","No")
The above formula does work but I'd like it to be dynamic and not a manually entered value.
Insted of
VAR bb = CALCULATE(('X'[Normalize data]))
Use this:
var bb = SELECTEDVALUE('X'[Normalize data])
https://dax.guide/selectedvalue/
Related
Obs:
The final database has 40 countries, 5 regions and range 2008:2018. Here's a small example of the base to illustrate the problem in Pibx file.pbix.
The idea consists in a dynamic chart, which will be update according to user interaction, as follow some examples:
When opening the dashboard, the first screen that the user would see would already be this one with all filters active/selected and show on the chart line the result of [Filter avg %YOY Region] between the period from 2008 to 2011 (due it is active) already starting the option {Avg National} enabled.
Now, suppose that the user clicks on the value {P1} in [Value by Country] to view the corresponding result of [Avg % YoY] on the chart and wants to compare this result with all years . The result of this selection would be:
Now, suppose that the user clicks on the value {P1} in [Value by Country] to view the corresponding result of [Avg % YoY] on the chart and wants to compare this result with all measures of [Filter avg %YOY Region]. The result of this selection would be:
Now, suppose that the user clicks on the value {P1} and {P2} in [Value by Country] to visualize the result of [Avg % YoY] of the respective filters on the chart line and wants to compare the results with the mean {Avg SE } in [Filter avg %YOY Region]. The result of this selection would be:
Applying the same logic to other possible ideas including the year filter.
How does Pwbí manage to do this wrong account? Mean (19.72 - 2.02) = 10.41?
In a measure each cell is recalculated. So the measure for SE is not calculated by averaging the measure at the P2 and P3 grain. If it did, then P2 and P3 would always be equally weighted, which isn't normally what you want.
Instead the measure is recalculated for the SE grain.
I have the following Table:
BaseTable
It represents processes with a certain category.
And there is also a Date Table over column TIMESTAMP.
I would like to show a Measure based on another Measure that calculates the Date-Difference until the selected Date.
So first this is how I calculate the Date-Difference:
AGE =
VAR SELECTED_DATE = CALCULATE(MAX(DATUM[Date]), ALLSELECTED(DATUM))
VAR STARTDATE_PROCESS = Calculate(MAX(Workflow[MIN_TIMESTAMP]),DATUM[Date]<=MAX(DATUM[Date]), ALL(DATUM[Date]))
RETURN
DATEDIFF(STARTDATE_PROCESS,SELECTED_DATE,DAY)
Now I want to use a Measure which depends on the result of AGE, like
NEW = IF([AGE]<=3,CALCULATE(COUNT(Workflow[PROCESS]),DATUM[Date]<=MAX(DATUM[Date]),ALL(DATUM)))
or
OLD = IF([AGE]>3,CALCULATE(COUNT(Workflow[PROCESS]),DATUM[Date]<=MAX(DATUM[Date]),ALL(DATUM)))
The Measures AGE, OLD and NEW look like that with the Base Table:
Measures
As you can see the aggregation is not working correctly:
Result_Wrong
But it should be like that
Result_Correct
Any idea how to fix that?
Thank you!
So the problem is that the subtotal is calculated at a whole different context, and because your Age measure is based on the MAX(Workflow[MIN_TIMESTAMP]) that won't take into account that there can be multiple processes.
To do what you want, you need to change the New and Old measures to perform an aggregation per process and then return the result of that. Something like this:
New_agg =
VAR tbl = ADDCOLUMNS(CALCULATETABLE(VALUES(Workflow[Process]), ALL('Date')), "age", [Age], "count_process", CALCULATE(COUNT(Workflow[Process]), ALL('Date')))
RETURN SUMX(tbl, IF([age]<=3, [count_process]))
Demo File
Let me know if below solution is working
Unfortunately I am unable to generate the dummy data that you have been using, so Created my own data for developing the solution.
Now from this data I have calculated the difference of dates and put it as Age
Now to get the count of process for the condition like yours, I have created two formulas and the result is:
Logic I followed here is, instead of creating measure I have created columns and took the sum of those columns which will give the data you need as sum of those columns.
Column for New:
New = IF((Sheet1[Age]) > 20, 1,0)
Column for Old:
Old = IF((Sheet1[Age]) < 20, 1,0)
Now place both formulas in "Values" and take sum as the aggregation.
Final result is
The Films table looks like this
There is a ComfortBreaks table looking like image
In the Films table I need to create a calculated column called NumberBreaks which shows for each film the number of breaks needed. To do this I have to pick out the value of the Breaks column where:
The value of the lower limit in the ComfortBreaks table is less than or equal to this film's running time in minutes
and
The value of the upper limit in the ComfortBreaks table is greater than this film's running time in minutes.
the result should look like the image below
There cannot be a relationship between the two tables. so this has to be done without creating relationship between them.
I tried lookup function but it showed error:A table of multiple values was supplied where a single value was expected.
You can use this below code for your custom column. Considering
number_of_breaks =
VAR current_row_run_time_minutes = Films[RunTimeMinutes]
RETURN
MINX (
FILTER(
ComfortBreaks,
ComfortBreaks[LowerLimit] <= current_row_run_time_minutes
&& ComfortBreaks[UperLimit] > MonthNumber
),
ComfortBreaks[Breaks]
)
You can perform your further average calculation on the new custom column now.
I am new to power BI and stuck with an issue. I have my model as follows:
Date Dimension
Measurement Fact
The date column in Date Dimension is link to measuredate in Measurement Fact
Below is a sample data:
NB: In edit query, I have changed the type of measuredate to Date only.
I have tried the measure below but it doesn't work the way I want. It will sum all the values of the day but what I want is the last value of the day:
day_fuel_consumption =
CALCULATE (
SUM ( measurement[measurementvalue] ),
FILTER (
measurement,
measurement[metername] = "C-FUEL"
&& measurement[measuredate] = MAX ( measurement[measuredate] )
)
)
My Goal is to get 29242, i.e the last value of the day. Remember that measuredate is a Date field and not Datetime (I changed to Date field so that my Year and Month filter can work correctly). I have changed the type in edit query.
Changing your measure to use a variable could be the solution:
DFC =
var maxDate = MAX(measurement[measuredate])
return
CALCULATE(
SUM(measurement[measurementvalue]),
measurement[measuredate] = maxDate
)
However, you should keep the datetime format for measureDate. If you don't want to see the time stamp just change the format I power bi. Otherwise power bi will see two values with max date and sum them, instead of taking the last one.
Well, if you want to avoid creating a measure, you could drag the fields you are filtering over to the visual filters pane. Click your visual, and scroll a tiny bit and you will see the section I am referring to. From there, just drag the field you are trying to filter In this case, your value. Then select "Top N". It will allow you to select a top (number) or bottom (number) based on another field. Strange enough, it does allow you to do top value by top value. It doesn't make sense when you say it out loud, but it works all the same.
This will show you the top values for whatever value field you are trying to use. As an added bonus, you can show how little or how many you want, on the fly.
As far as DAX goes, I'm afraid I am a little DAX illiterate compared to some other folks that may be able to help you.
I had to create two separate measures as shown below for this to work as I wanted:
max_measurement_id_cf = CALCULATE(MAX(measurement[measurementid]), FILTER(measurement, measurement[metername] = "C-FUEL"))
DFC =
var max_id_cf = [max_measurement_id_cf]
return
CALCULATE(SUM(measurement[measurementvalue]), measurement[measurementid] = max_id_cf)
I am working on a Viewership table which tells which customer watches which asset. Based on the asset filter, I need to display the customers who watched the show & customers who didn't watched the show. below is my example table
If the asset_id selected as 1 in the slicer, the desired output will be as below
I have tried creating a cross-join table with asset_id and customer_id , but that approach taking much time with large data. Request the experts here to suggest the best optimal solution to achieve this.
First, create a new table "Asset":
This table contains unique assets, and we will use it to create a slicer that affects DAX measure but does not affect the visual (table). To achieve that, the Asset table must be disconnected from the Viewership table (no relationships).
In your viewership table, I just renamed "asset" to "asset_id", to be consistent:
Next, create a measure:
Status =
VAR Selected_Asset = SELECTEDVALUE(Asset[asset_id])
VAR Customer_Asset = SELECTEDVALUE(Viewership[asset_id])
RETURN
IF(Customer_Asset = Selected_Asset, "Watched", "Not Watched")
Result:
Slicer here is created from the "Asset" table, and table is a table visual with customer_id and asset_id from the Viewership table (set them as "don't summarize" values). I turned off "total", assuming you don't need it.
This design requires to set Asset slicer to "single selection" mode, to make sure that you are only getting one value from it. If you want the model to work with multi-select slicer, change DAX measure as follows:
Multi Status =
VAR Selected_Assets = ALLSELECTED(Asset[asset_id])
VAR Customer_Asset = SELECTEDVALUE(Viewership[asset_id])
RETURN
IF(Customer_Asset IN Selected_Assets, "Watched", "Not Watched")
Result:
Edit:
To make it work at the customer level:
Customer Status =
VAR Selected_Assets = ALLSELECTED(Asset[asset_id])
VAR Customer_Assets = VALUES(Viewership[asset_id])
VAR Assets_Watched = COUNTROWS(INTERSECT(Customer_Assets, Selected_Assets))
RETURN
IF(Assets_Watched > 0, "Watched", "Not Watched")
Result:
Explanation: store selected assets in a table variable. Then, store assets visible per customer in another table variable. Find an intersect of the two tables (what they have in common), and count intersect rows. If none - not watched, otherwise watched. If you want, you can actually display the number of movies watched (just return "Assets_Watched" instead of IF statement).