I am trying to add a calculated column in Power BI Using calculated column from spotfire
Cal_column = Rank([Custom ID], [App Id])
Help me with concerting this to DAX.
Thanks in advance
Sample result looks like
Rank Custom ID App Id
1 1306450 373197
5367590
4 1308326 383990
You can try the following calculation:
Rank =
VAR CurrentSelection = Max(Table[CustomID])
RETURN
RANKX(FILTER(All(Table),Table[CustomID]=CurrentSelection),Table[AppID],,DESC,Dense)
You can also refer to the video to understand the basics of ranking in Power BI:
https://www.reddit.com/r/PowerBI/comments/ae7ntp/rank_by_multiple_columns_in_rankx_measure/
Edit:
Rank =
RANKX(ALLSELECTED(Table),CALCULATE(MIN(Table[CustomID]),ALLEXCEPT(Table,Tale[AppID])),,DESC,Dense)
Related
I would like to calculate a percentage from a column and save it in a card for a Power BI dashboard. The column is as below:
index header-"grade"
1 pass
2 failed
3 pass
4 partly-pass
5 pass
6 failed
7 partly-pass
...
I want to calculate the percentage of count of 'failed'/total count of the column, then put the percentage in the card, can someone help please? I am a complete Power BI newbie here.
thanks
solved it:
% of category =
DIVIDE(
CALCULATE(COUNTROWS(Tablename), Tablename[column] = 'category'),
COUNTROWS(Tablename)
)
I am having trouble receiving correct result when trying to sum numbers over Distinct values (in DAX Power BI)
I have the following table - Tbl_Eposode:
I expect to have total numbers of [Episode] = 12
But I keep having SUM of [Episode] = 36.
My code just summarizes all Episode values instead only summarizing unique Episodes
(by EpisodeID, ProgramID))
This is my code:
# Pre Homeless Days = CALCULATE(SUM('Tbl_Episode'[Episode]),
ALLEXCEPT('Tbl_Episode','Tbl_Episode'[EpisodeID],
'Tbl_Episode'[ProgramID],
'Tbl_Episode'[ClientID]))
Please Help!
As David Brownse says, this really needs remodelling. However, if you are adamant that this is the way to go then:
# Pre Homeless Days =
SUMX( SUMMARIZE(Tbl_Episode, Tbl_Episode[EpisodeID], Tbl_Episode[ProgramID], Tbl_Episode[ClientID],Tbl_Episode[Episode]), Tbl_Episode[Episode])
You can just group the table in Power Query by EpisodeID, ClientID and ProgramID and compute the maximum of Episode and compute the sumation.
= Table.Group(#"Reordered Columns", {"EpisodeID", "ClientID", "ProgramID"}, {{"Max_Episode", each List.Max([Episode]), type nullable number}})
DAX:
Pre Homeless Days 2 = SUM(Max_Episode[Max_Episode])
Output in Table:
New Table "Max_Episode" created in Fields Pane:
I am familiar with SQL and I can write a query to return results of a query to Select MIN(Date), MAX(Date), SUM(quality) and GROUP BY. However, I am new to Power BI and DAX and find it difficult to do the same on Power BI. Below is my situation.
These tables on Power BI:
Dim_ManefactureDate
Dim_ReleaseDate
Fact_OrderID
Table Relationships
Adding a table visualization to a new page to show data from three tables above, data is showing as below:
Under Values of Visualizations, when selecting SUM over Netweight, it automatically summarizes expected Netweight. However, for ManufactureDate and ReleaseDate, when selecting Earliest then Power BI table shows unexpected 1/01/1900 values like this:
I expect earliest date of each OrderID as below:
I have also tried to use a DAX function to create a new column but it gets error
ManufactureDate_Earliest =
VAR Sum_Netweight = SUM(Fact_OrderID[NetWeight])
VAR GroupBy_OrderID = GROUPBY(Fact_OrderID,Fact_OrderID[OrderID])
RETURN
CALCULATE(
MIN(RELATED(Dim_ManufactureDate[DateBK]))
)
Thank you very much for your help
Due to getting values from relationship tables, used these measured and solved the issue
ManufactureDate_Earliest =
CALCULATE(
MIN(ManufactureDate[DateBK]),
CROSSFILTER(Fact_Order[ManufactureDate_DateSK], ManufactureDate[DateSK], BOTH)
)
ReleaseDate_Earliest =
CALCULATE(
MIN(ReleaseDate[DateBK]),
CROSSFILTER(Fact_Order[ReleaseDate_DateSK], ReleaseDate[DateSK], BOTH)
)
Power BI Desktop Version: 2.97.861.0 64-bit (September 2021)
I am attempting to create a dynamic rank in a table visualization of a Power BI Report that recalculates based on the filter the user applies
This is my current DAX formula…
Rank =
VAR v_rank =
RANKX(
ALLSELECTED('cust_income'),
CALCULATE(SUM('cust_income'[Income])),
,
DESC,
Dense
)
RETURN
v_rank
Screenshot below is filtered for Customer ID = 1
The rank works as expected - it is specific to the Customer ID = 1 records
HOWEVER - as soon as I add Product Desc to the table visualization, I see the strange cartesian result on the right…
There are only two tables. The relationship is a very basic 1:N using Product Code...
How to keep Product Desc in my table visualization but eliminate the nonsensical rows that have no Income value?
Thank you for your insights
Could you try:
Rank =
VAR v_rank =
IF (
HASONEVALUE(cust_income[Income]),
RANKX(
ALLSELECTED('cust_income'),
CALCULATE(SUM('cust_income'[Income])),
,
DESC,
Dense
)
)
RETURN
v_rank
I am working on some education data. There are 4 categories and each of them have got a list of items. I have got the numbers. I have made a Matrix table with the Categories and Items in the Rows and the Numbers as Values. What I want to achieve 2 things
Show percentages for each of the items based on the category subtotal
"Not stated" and "Not applicable" in each category should not be included to calculate the percentages.
Can someone please show me how to create a new measure using DAX in Power BI to achieve this.
Please see the below example screenshot in Excel for detail. Table example
Here is a Power BI file with the example data - https://1drv.ms/u/s!AubIV2PXG9p4gql0qImMTHvl4ZDAWg?e=2flwnP
I am new to Power BI and DAX. Any help will be greatly appreciated. Thank you
Follow these below steps-
Create this Measure first-
category_total =
VAR current_row_category = MIN(Education[Category])
RETURN
CALCULATE(
SUM(Education[Number]),
FILTER(
ALLSELECTED(Education),
Education[Category] = current_row_category
&& Education[Item] <> "Not stated"
&& Education[Item] <> "Not applicable"
)
)
Now create the % calculation measure as below-
percentage =
IF (
MIN(Education[Item]) = "Not stated" || MIN(Education[Item]) = "Not applicable",
BLANK(),
(MIN(Education[Number])/[category_total])
)
Now add the above Percentage measure to Metrics value and the output will be as below-