Hi,
Is there a way to filter columns in a table? for example, in the table below, if no Month is selected, I want to show the fields ENTRIES test, % Entries Full Year, and Count Weekday Full Year.
If I click on a certain month, I only want the ENTRIES test, % Entries, and Count Weekday fields to be shown.
Is this possible?
Thank you!
Sarah
Solved! Go to Solution.
hi @sk15227
For your case, you could try this way to get it:
Step1:
Add a new table that contains these five measures name
Step2:
Then create a measure as below
Measure =
SWITCH(SELECTEDVALUE('Columns'[Type]),
"ENTRIES test",[ENTRIES test],
"% Entries Full Year",IF(ISFILTERED('Table'[Month]),BLANK(),[% Entries Full Year]),
"Count Weekday Full Year",IF(ISFILTERED('Table'[Month]),BLANK(),[Count Weekday Full Year]),
"% Entries",IF(ISFILTERED('Table'[Month]),[% Entries],BLANK()),
"Count Weekday",IF(ISFILTERED('Table'[Month]),[Count Weekday],BLANK()))
Step3:
Now drag Type field into columns of matrix visual and this measure instead of these five measure into visual.
here is simple sample pbix file.
Result:
Regards,
Lin
hi @sk15227
For your case, you could try this way to get it:
Step1:
Add a new table that contains these five measures name
Step2:
Then create a measure as below
Measure =
SWITCH(SELECTEDVALUE('Columns'[Type]),
"ENTRIES test",[ENTRIES test],
"% Entries Full Year",IF(ISFILTERED('Table'[Month]),BLANK(),[% Entries Full Year]),
"Count Weekday Full Year",IF(ISFILTERED('Table'[Month]),BLANK(),[Count Weekday Full Year]),
"% Entries",IF(ISFILTERED('Table'[Month]),[% Entries],BLANK()),
"Count Weekday",IF(ISFILTERED('Table'[Month]),[Count Weekday],BLANK()))
Step3:
Now drag Type field into columns of matrix visual and this measure instead of these five measure into visual.
here is simple sample pbix file.
Result:
Regards,
Lin
Welcome to the Power BI Community Show! Jeroen ter Heerdt talks about the importance of Data Modeling.
Put your data visualization and design skills to the test! This exciting challenge is happening now through May 31st!
User | Count |
---|---|
353 | |
98 | |
64 | |
54 | |
48 |
User | Count |
---|---|
339 | |
123 | |
88 | |
69 | |
66 |