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Hello
I have a big table (Table A) in import mode with 80+column names. This table has 3 columns named-"Name 1", "Name 2", "Name 3". There is a column of "Ids"
Table A like this:
Ids | Name 1 | Name 2 | Name 3 | another 75+ columns |
1 | Apple | hello | do | |
2 | Apple | Hi | put | |
3 | Ball | bat | do | |
4 | Cat | make | take | |
5 | Zebra | gol | take | |
6 | Zebra | gol | back |
Now I need to have a visual where a slicer will have those 3 options-Name 1, Name 2, Name 3. When Name 1 is slelected a visual table will show values from column-Name 1 along with the other required columns. When Name 2 is selected instead of Name 1 Values, Name 2 values should be shown while rest of the columns remain the same. When Name 3 is slected only Name 3 values should be shown besides the other columns.
For the slicer I created a table called 'Slicer' with 1 column called NAME column it has 3 rows with strings-Name 1, Name 2 and Name 3. This table is just for the slicer, no relationships.
NAME |
Name 1 |
Name 2 |
Name 3 |
For changing the column in the visual depending on the visual I have a measure (without Min or Max it was not working):
name_measure | column A | column B | column c |
Apple | 2 | A | er |
Apple | 12 | G | tr |
Ball | 3 | B | bt |
Cat | 4 | C | yh |
Zebra | 5 | D | bt |
Zebra | 6 | D | bt |
name_measure | column A | column B | column c |
hello | 2 | A | er |
Hi | 12 | G | tr |
bat | 3 | B | bt |
make | 4 | C | yh |
gol | 5 | D | bt |
gol | 6 | D | bt |
name_measure | count of ids |
Zebra | 6 |
name_measure | count of ids |
Apple | 2 |
Ball | 1 |
Cat | 1 |
Zebra | 2 |
name_measure | Count of ids |
hello | 1 |
Hi | 1 |
bat | 1 |
make | 1 |
gol | 2 |
name_measure | Count of ids |
make | 6 |
Thanks for the reply. But how do I union the 2 tables? Slicer table has just 1 column with 3 rows. Table A has more than 2 million rows and 80+ columns. And the 3 rows in the slicer table are 3 columns in Table A.
Hi,
Try to adjust your measure so that it evaluates each row based on the slicer selection. The solution involves using the UNION and SELECTCOLUMNS functions to create a unified table that responds to the slicer selection.
Maybe try this approach:
Step 1: Create the Dynamic Measure
You need to create a measure that evaluates the selected column values dynamically:
name_measure =
VAR selectedColumn = SELECTEDVALUE('Slicer'[NAME])
VAR resultTable =
SWITCH(
selectedColumn,
"Name 1", SELECTCOLUMNS('Table A', "Name", 'Table A'[Name 1]),
"Name 2", SELECTCOLUMNS('Table A', "Name", 'Table A'[Name 2]),
"Name 3", SELECTCOLUMNS('Table A', "Name", 'Table A'[Name 3])
)
RETURN
resultTable
Step 2: Create a Measure for Counting IDs
To count the number of IDs based on the selected column, you need to create another measure:
CountOfIDs =
VAR selectedColumn = SELECTEDVALUE('Slicer'[NAME])
VAR resultTable =
SWITCH(
selectedColumn,
"Name 1", SELECTCOLUMNS('Table A', "Name", 'Table A'[Name 1], "ID", 'Table A'[Ids]),
"Name 2", SELECTCOLUMNS('Table A', "Name", 'Table A'[Name 2], "ID", 'Table A'[Ids]),
"Name 3", SELECTCOLUMNS('Table A', "Name", 'Table A'[Name 3], "ID", 'Table A'[Ids])
)
RETURN
COUNTROWS(
SUMMARIZE(
resultTable,
[Name],
"CountOfIDs", COUNT([ID])
)
)
Step 3: Use These Measures in Your Visuals
Example of Usage in a Table Visual:
This approach ensures that the values and counts are dynamically adjusted based on the slicer selection. The use of SELECTCOLUMNS and SWITCH ensures that you get the correct column values in your visuals based on user interaction with the slicer.
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