I have the below two tables in power bi as below
based on the above two tables I want to create a matrix visual that should look like the image below "Output Matrix":
I also have a slicer for a month, based on the month column from Table 1, what I want is in the output matrix visual the "Total Users" should remain constant value when we change the month and the rest of the columns values change based on the month selected in the slicer.
Create the following 3 measures:
Measure 1
Active Users = DISTINCTCOUNT( Table1[user_id] ) + 0
Measure 2
Total Users = COUNT( Table2[user_id] ) + 0
Measure 3
Active Users % = DIVIDE( [Active Users], [Total Users], 0 )
Then create a Matrix Visual and drag the Manager column and the 3 measures.
This is the final output:
Related
I have a dataset in the following format. Notice InitialDate of July
2022 has 1 corresponding row of RollingDate and Churn, June 2022 has
2 corresponding rows, May has 3 etc etc
Which I'm looking to display the results in a table matrix like this.
The issue I'm finding it is that if I just use RollingDate as the
Columns and Churn as the Values, it looks like this
But what I want is this
Add a Rank column to the table as follows:
Rank =
VAR __InitialDate = 'Table'[InitialDate]
RETURN
RANKX(
FILTER( Table , Table[InitialDate] = __InitialDate ),
Table[RollingDate],
,ASC
)-1
My goal is to create measure to get top 3 customer Names and there respective sales.
I am using the below measure to bring top 3 names along with there sales. The below measure is returning all the rows. I fail to understand why this is happening and why filtering is not happening for top 3 customers
topN = calculate(sum(Sale[Total Excluding Tax]),
TOPN(3,
values(Sale[Employee Name]),
calculate(sum(Sale[Total Excluding Tax]))
)
)
Sale[Employee Name] is calculated column and is coming from another table Employee by using Employee Name = RELATED(Employee[Employee])
The DAX is working properly and grabbing top 3 records. Order/sorting is important. You need to order your results.
Create a calculate column [Total Excluding Tax] to sum up the Total excluding tax. Then use that column in a measure; try something like:
Top Sales = TOPN ( 3, ALLSELECTED( 'Sale' ), [Total Excluding Tax]), desc)
I am new to Power BI and currently I am working with table visulaizations and slicers.
My data is as follows
Student table:
Date table:
Exam table:
The relationships within the table are as follows:
I want an output like the image shown below, I would like to create 2 table visuals that can be filtered on Student Name, Classroom and also have slicer on 2 dates. I need to compute minimum score. The user must be able to select 2 dates at a time on the slicer, the first date selected on the slicer should be attached to my 'Min Score at date1' and second date selected on the slicer should be attached to my 'Min Score at date2', and the third column 'Difference in Score' must be able to calculate the difference between the Min Score at date1 and Min Score at date2.
Similarly I also want to calculate the average minimum score too
Please let me know how to proceed or what alternative formula or query or method should I apply to get the desired result.Thanks!
Before I start, let me mention that this example was done in SSAS so it may need some tweaking in PowerBi but the logic is identical nonetheless.
First create a clone date table and call it something else e.g. 'Compare Date'. Next, create an inactive, one to many relationship between the 'Compare Date' and your 'Fact' table, see the image below, in this case I am joining on [Year Month], you will need to adjust to fit your needs:
If you are unsure how to do this, just right click on the new table and select the create relationship option, ensure that the relationship is like the image below:
Once this has been done, right click on the 'relationship' and mark it as inactive.
Now that you have the new date table and the relationships set up, I want you to create a few DAX measures:
Min Date 1 = Min('Student Table'[Score])
Min Date 2 = CALCULATE(Min('Student Table'[Score]), ALL('Dates'), USERELATIONSHIP('Compare Date'[Date], 'Fact'[Date]))
Avg Date 1 = AVERAGE('Student Table'[Score])
Avg Date 2 = CALCULATE(AVERAGE('Student Table'[Score]), ALL('Dates'), USERELATIONSHIP('Compare Date'[Date], 'Fact'[Date]))
Delta Min = [Min Date 2] - [Min Date 1]
Delta Avg = [Avg Date 2] - [Avg Date 1]
These measures will calculate exactly what you need and can be filtered independently via two date slicers tied to each date table. The rest is just busy work.
I hope this helps.
I am trying to make measure that gets sum of amt column where versiontype column = ative how do I write dax formula for that measure?
So let's say your fact table is called Sales. It has a Sales Amount called Amt. The table is linked to a Version table with a VersionType field that includes a value of "Active".
You could create a new measure for Active Sales as follows:
ActiveSales :=
CALCULATE (
SUM ( Sales[Amt] ),
'Version'[VersionType] = "Active"
)
I know the exact SQL I would need to write to retrieve the results I'm looking for from the Oracle BI tool, however, as I am new to Oracle BI I am struggling to find a way to reproduce the same results. I realize that the ultimate answer largely depends on the BI data model and that takes a lot more communication than a question on Stack Overflow will allow, so I'm looking for more generic how-to answers than a specific definitive answer for my scenario.
Perhaps the SQL will help for starters:
select "All"."DT", ("LessThan5Mins"."Count" / "All"."Count") * 100
from
(
select to_char(m."EndDateTime", 'YYYY-MM') "DT", count(*) "Count"
from "Measurement" m,
"DwellTimeMeasurement" dtm
where dtm."MeasurementBase_id" = m."Id"
group by to_char(m."EndDateTime", 'YYYY-MM')
) "All",
(
select to_char(m."EndDateTime", 'YYYY-MM') "DT", count(*) "Count"
from "Measurement" m,
"DwellTimeMeasurement" dtm
where dtm."MeasurementBase_id" = m."Id"
and m."MeasValue" <= 300
group by to_char(m."EndDateTime", 'YYYY-MM')
) "LessThan5Mins"
where "All"."DT" = "LessThan5Mins"."DT";
The purpose of this is to return the percentage of dwell time records that were less than or equal to 5 mins (300 seconds).
I have a fact that represents the "MeasValue" field in the above query.
All attempts I've made to reproduce the dual result set nature of the above query in BI have failed.
Is the above possible in OBIEE and if so, how might I achieve this?
I'm assuming that you have imported the Measurement (M) and DwellTimeMeasurement (DTM) tables into the physical layer of the RPD, specified the join on DTM.MeasurementBase_id = M.Id, and then brought them both through to the presentation layer.
If so, then you could start building this query in Answers on the criteria tab by dragging in M.EndDateTime and any OBIEE measure column from DTM, for example DTM.Amount. Edit the formula for the DTM.Amount column:
Filter the column by clicking the filter button shown in blue below.
In the following dialog box double click on M.MeasValue and then select "is less than or equal to" and type 300 in the Value text box. Click OK twice and your column formula should now look something like this:
FILTER(DTM.Amount USING (M.MeasValue <= 300))
Now wrap this with COUNT():
COUNT(FILTER(DTM.Amount USING (M.MeasValue <= 300)))
This will give the count of records with M.MeasValue <= 300. You could rename this column to be "LessThan5Mins". Click OK to save the new formula. Now drag in the DTM.Amount column again but this time only perform a COUNT():
COUNT(DTM.Amount)
This will give you the count of all dwell time records. You could rename this to "All". Finally drag in the DTM.Amount column one last time and edit it's formula again. This is where you will calculate the percentage with a formula similar to the following:
COUNT(FILTER(DTM.Amount USING (M.MeasValue <= 300))) / COUNT(DTM.Amount) * 100
So ultimately you will have four columns with the following titles and formulas:
TITLE FORMULA
----- --------
EndDateTime M.EndDateTime
LessThan5Mins COUNT(FILTER(DTM.Amount USING (M.MeasValue <= 300)))
All COUNT(DTM.Amount)
% LessThan5Mins COUNT(FILTER(DTM.Amount USING (M.MeasValue <= 300))) / COUNT(DTM.Amount) * 100
Note that including the EndDateTime column takes care of grouping the records. Also, to match your original query you would only need the EndDateTime and % LessThan5Mins columns (you could hide or exclude the other columns) but I wanted to demonstrate for you the process of filtering column values in OBIEE.