The ultimate Fabric, Power BI, SQL, and AI community-led learning event. Save €200 with code FABCOMM.
Get registeredEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Hello there.
I’ve searched but could not find na answer...
So, I have table like this:
ID | YEAR | E01A | E01C | E01D |
ABAN02800 | 2017 | 60 | 5,2 | 60 |
ABRA02950 | 2013 | 64 | ||
ABRA02950 | 2011 | 65 | ||
ABRA02950 | 2007 | 72 | ||
ABRA02950 | 2008 | 66 | 47 | |
ABRA02950 | 2015 | 62 | 53 | |
ABRA02950 | 2016 | 65 | 50 | |
ABRA02950 | 2014 | 67 | ||
ABRA02950 | 2017 | 61 | 54 | |
ABRA02950 | 2010 | 67 | 52 | |
ABRA02950 | 2009 | 68 | 49 | |
ABRA02950 | 2012 | 62 | ||
ACLA00500 | 2015 | 82 | 2,6 | 50 |
(…)
I need a second table (preferable in DAX) with these premises:
If you notice, the first ID “ABAN02800”, only have records for 2017, so it is not supposed to show. In opposite, ID “ABRA02950” is ok for that criteria.
The others parameters (e01C and E01D) are not supposed to appear.
I’ve tried every formula I know, from calculatetable, to filter with addcolumns
Thank you
Cheers from Brazil.
Solved! Go to Solution.
could you give this a go and let me know? @brunofs
Table =
FILTER (
SELECTCOLUMNS ( Data, "ID", [ID], "Year", [YEAR], "E01A", [E01A] ),
COUNTROWS (
CALCULATETABLE (
SUMMARIZE ( Data, Data[ID], Data[YEAR] ),
ALLEXCEPT ( Data, Data[ID] ),
Data[YEAR] >= 2013,
Data[YEAR] <= 2017,
NOT ( ISBLANK ( Data[E01A] ) )
)
)
= 5
&& [Year] >= 2013
&& [YEAR] <= 2017
&& NOT ( ISBLANK ( [E01A] ) )
)
Did I answer your question correctly? Mark my answer as a solution!
Proud to be a Datanaut!
could you give this a go and let me know? @brunofs
Table =
FILTER (
SELECTCOLUMNS ( Data, "ID", [ID], "Year", [YEAR], "E01A", [E01A] ),
COUNTROWS (
CALCULATETABLE (
SUMMARIZE ( Data, Data[ID], Data[YEAR] ),
ALLEXCEPT ( Data, Data[ID] ),
Data[YEAR] >= 2013,
Data[YEAR] <= 2017,
NOT ( ISBLANK ( Data[E01A] ) )
)
)
= 5
&& [Year] >= 2013
&& [YEAR] <= 2017
&& NOT ( ISBLANK ( [E01A] ) )
)
Did I answer your question correctly? Mark my answer as a solution!
Proud to be a Datanaut!
Thank you! Amazing! it worked like a charm!