Is it possible to perform calculations based off of the Table Visualization's values? I understand Power BI has the option manually add columns in the data set but that will not work in this example because of how the data is aggregated.
Basically, I would want the option to create a formula next to revenue where I would divide revenue by cost.
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As has been mentioned, a measure would be the solution. Something like the following
Measure = DIVIDE(CALCULATE(MAX(Table[Revenue])), CALCULATE(MAX(Table[Cost])), 0)
Related
Situation:
My Report calculates the ranking developments of an accounts in one measure:
Class_Evolution = [Class_Minus_0] & " <-- " & [Class_Minus_1]
Combined with data from the source table the measures show good results per datarow.
The results look like:
...
[Class_Minus_0] and [Class_Minus_1] are measures with X-functions themself that result in a ranking (A,B,C,D) depending on slicer selection.
I also have a measure that counts the rows:
Count Values = COUNTROWS(ExhibitorClass)
This works so far.
Problem:
Now I need to crate visuals with the measures I created. But when I put my measures on a visual they just get summed up:
Need:
I need to built the visuals as in the example below but by using my measured instead of columns.
I have build the report without a slicer on fixed data columns with fixed ranking cutoffs and got a nice result:
However I need to be able to calculate the ranking development with the slicer so I need to build everything with measures.
How should I build my measures to get the visuals I need? Please help me.
Thanks to Andrew, I was able to implement the following solution.
I needed a new Table matching the possible results of the measure:
Then with a VAR variable in a DAX measure the matching values could be counted:
Visual Count Class Evolution =
VAR _rank_evolution = SELECTEDVALUE('Class_Evolution'[Class_Evolution])
return sumx('ExhibitorClass_Details', if([Class_Evolution] = _rank_evolution, 1,0))
The variable was populated form my [Class_Evolution] table and if the measure used on my [ExhibitorClass_Details] details table matched the Class_Evolution it was summed up.
I am trying to create a calculated table where the data is being taken from another table and calculating the average based on the username, total average and variance between the 2 of these columns.
To create a table, I used the below DAX in Power BI which calculated the average based on the username.
scanner_speed_average_calculation =
SUMMARIZE(scanner_speed
,scanner_speed[user_name]
,"Average"
,AVERAGE(scanner_speed[order_processed]))
To calculate the group_average I used the below DAX:
group_average =
SUMMARIZE(
scanner_speed
, "Group Avg"
, average(scanner_speed[order_processed]))
And finally to calculate the variance, I used this query:
Variance = scanner_speed_average_calculation[Average] - scanner_speed_average_calculation[group_average]
Below is an outcome of these calculations.
I want to be able to make these calculations dynamic based on the selected value from the date. The table where I am taking these calculations do have the date value. I want to be able to use date range in slicer and I want these values to change based on the selected date range. I tried few things with Filter, Selectedvalue but I am not sure if I used them correctly.
Below is a main table where I took all these calculations from.
Below is a visual of where I want to group_average and variance. I want to be able to use date range and these columns should change accordingly.
Any idea or help will be appreciated. If possible then please put the entire formula. I am still a newbie in the world of DAX. Thanks in advance
power bi file
If you want a calculation to depend on a slicer, you need a Measure, not a calculated column or calculated table. Calculated columns and calculated tables are generated on refresh and physically stored in your model, so the slicers can filter them, but the slicers can't change the value of the calculations.
Measures are not persisted, but are calculated as needed based on changes to filters and slicers.
If you simply add add a measure
AverageOrdersProcessed := AVERAGE(scanner_speed[order_processed])
and put that on a visual that groups by user_name, you will get a the AVERAGE(scanner_speed[order_processed]) for each `user_name'.
I have a measure in Power BI. How to bring the measure total to rows in power BI ?
You have to use ALL table function to compute this:
YourNewMeasure = SUMX(ALL(YourTableName),YourTableName[Quantity])
Balaji has rightly given the formula to get the total in each row, just wanted to add that now you have to create a column and use the above formula instead of a measure.
I'm still very new to Power BI, so forgive my possible ignorance.
We need to do a quarterly check-up, on some data.
To get this data, we have an OData endpoint.
Some of the checks require us to get a random sample of data, from within a certain time.
The random sample of data could be something like: "a random 20% of all papers from 01-01-2020 to 01-02-2020".
I'm not sure if this is possible in Power BI.
If possible, I don't know if I need to adjust my query or do these calculations after getting all the data.
You may use RAND() in DAX as a calculated column or a measure (RAND in a measure is not always recalculated as it is volatile).
You can add an index column to your table in power query then apply query changes to load the updated table.
Next step , create a measure :
ramdom mymeasure = RAND()
and add desired fields to a table including the index column that you choose by your logic.
Go to
Visualizations pane > Fields > Visual level filters>
Selected Top N under filter type >Show Top 20 items> Drag random measure to By Value.
I have created LOD expressions in Tableau before which dynamically calculate when filters are applied. I am trying to achieve similar functionality in Power BI. I am very new to Power BI so I probably didn't ask google the right question. I simply want a column that shows the average sales over my "Filtered" data set. The closest I cam was using the Calculate(average(table[column]),All(table)) but that does not dynamically change when I apply the date slider. If I filter for 1/1 - 1/5 I want that average. Change the date range, the average should change.
Thank you.
You are probably looking for the ALLEXCEPT() function. In this case you would do something like
CALCULATE(AVERAGE(table[column]), ALLEXCEPT(table, table[date]))
that is basically saying that you want to remove all filters on the table except the filters on the date column.
CALCULATE(
AVERAGE(Table[Column]),
ALLSELECTED()
)