Forum Discussion
DanielaAmadeuPr
3 years agoFrequent Visitor
Select three different columns using measure
Hello everyone, I'm studying measures through a classic rock top500 ranking which I found on Kaggle. For my purpose I intend to select three different columns: Music, YearRanking, Top500. Mus...
- 3 years ago
DanielaAmadeuPr It's not a trivial problem to solve. Your filter clause is the problem with your CALCULATE and you really shouldn't be using CALCULATE as a beginner. CALCULATE is an incredibly complex function. With your filter clause you are always going to be in the position of getting music that appears in the top 5 for one or more years but not all years. That's the problem you have to solve for. So, to explain the code:
TopMusicTable = /* First, get a table for all music that appears in the top 5 and group that by Year and a unique Key in this case since there are multiple songs named One. The Key is simply a concatenation of artist and music with a | character in between. Use TOCSV(__Table) in the RETURN to visualize the table that is returned. You can use a Card visual for this. */ VAR __Table = SUMMARIZE( FILTER('classic_rock_playlist',[Top500]<>0 && [Top500]<6), [YearRanking], [Key] ) /* This simply counts the distinct Year values so now you know how many years you are dealing with */ VAR __NumYears = COUNTROWS(DISTINCT('classic_rock_playlist'[YearRanking])) /* /* Next, we add a column called __NumYears to our base table. This column calculates how times that music appears in the base table (__Table). It does this by getting the Key adn then counting the rows in the base table where the Key matches. Again, use TOCSV(__Table1) as the RETURN value to visualize this table in a Card visual for example. */ VAR __Table1 = ADDCOLUMNS(__Table, "__NumYears", VAR __Music = [Key] VAR __Result = COUNTROWS(FILTER(__Table,[Key] = __Music)) RETURN __Result ) /* Now all we have to do is to filter the table with the additional column (__Table1) where the __NumYears column matches our __NumYears VAR that we created, meaning that the song appeared in all years because they match. We only want the key column as a return value so we use SELEECTCOLUMNS for that and just we only want distinct values so we use DISTINCT as well. */ VAR __Result = DISTINCT(SELECTCOLUMNS(FILTER(__Table1, [__NumYears] = __NumYears),"Key",[Key])) RETURN __Result
DanielaAmadeuPr
3 years agoFrequent Visitor
With your table solution, I now have a new problem: I need to filter the Blank songs generated by your table. I don't see it as an effective solution.
Greg_Deckler
3 years agoCommunity Champion
You could do this, updated PBIX see page 2 attached.
Rankings Measure =
VAR __Table =
SUMMARIZE(
FILTER(ALL('classic_rock_playlist'),[Top500]<>0 && [Top500]<6),
[YearRanking],
[Key]
)
VAR __NumYears = COUNTROWS(DISTINCT(ALL('classic_rock_playlist'[YearRanking])))
VAR __Table1 =
ADDCOLUMNS(__Table, "__NumYears",
VAR __Music = [Key]
VAR __Result = COUNTROWS(FILTER(__Table,[Key] = __Music))
RETURN
__Result
)
VAR __TopTable = DISTINCT(SELECTCOLUMNS(FILTER(__Table1, [__NumYears] = __NumYears),"Key",[Key]))
VAR __Key = MAX('classic_rock_playlist'[Key])
VAR __Result = IF(__Key IN SELECTCOLUMNS(__TopTable,"__Key",[Key]),MAX('classic_rock_playlist'[Top500]), BLANK())
RETURN
__Result