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Hello,
My need seems simple, but I can't find a solution. I have multiple quantity measures and multiple turnover measures in the same matrix. I would like to add a column above that groups the measurements.
Here is an example :
Thanks a lot for your help.
Solved! Go to Solution.
Hi @Slycls
U can create 2 disconnected table
Table-1 | |
ID | Column |
1 | QTY |
2 | CA A-1 |
ID | Column |
1 | QT A-1 |
2 | QT CFA-1 |
3 | CQT CF |
4 | CAA A-1 |
5 | CA CFA-1 |
6 | CA CFA |
2. Then do a two-measure max id for two tables.
3. Use the switch case in a measure.
as like
measure = switch( true(),
[table-1_max_ID]=1 && [table-2_max_ID]=1,[QTY],
[table-1_max_ID]=1 && [table-2_max_ID]=2,[QTY],
[table-1_max_ID]=1 && [table-2_max_ID]=3,[QTY],
[table-1_max_ID]=1 && [table-2_max_ID]=4,[QTY],
[table-1_max_ID]=1 && [table-2_max_ID]=5,[QTY],
[table-1_max_ID]=2 && [table-2_max_ID]=1,[QTY],
[table-1_max_ID]=2 && [table-2_max_ID]=2,[QTY],
[table-1_max_ID]=2 && [table-2_max_ID]=3,[QTY],
[table-1_max_ID]=2 && [table-2_max_ID]=4,[QTY],
[table-1_max_ID]=2 && [table-2_max_ID]=5,[QTY]
)
Then plot 2 disconnected table columns in the matrix column section.
Hope it will help you.
Hi @Slycls
U can create 2 disconnected table
Table-1 | |
ID | Column |
1 | QTY |
2 | CA A-1 |
ID | Column |
1 | QT A-1 |
2 | QT CFA-1 |
3 | CQT CF |
4 | CAA A-1 |
5 | CA CFA-1 |
6 | CA CFA |
2. Then do a two-measure max id for two tables.
3. Use the switch case in a measure.
as like
measure = switch( true(),
[table-1_max_ID]=1 && [table-2_max_ID]=1,[QTY],
[table-1_max_ID]=1 && [table-2_max_ID]=2,[QTY],
[table-1_max_ID]=1 && [table-2_max_ID]=3,[QTY],
[table-1_max_ID]=1 && [table-2_max_ID]=4,[QTY],
[table-1_max_ID]=1 && [table-2_max_ID]=5,[QTY],
[table-1_max_ID]=2 && [table-2_max_ID]=1,[QTY],
[table-1_max_ID]=2 && [table-2_max_ID]=2,[QTY],
[table-1_max_ID]=2 && [table-2_max_ID]=3,[QTY],
[table-1_max_ID]=2 && [table-2_max_ID]=4,[QTY],
[table-1_max_ID]=2 && [table-2_max_ID]=5,[QTY]
)
Then plot 2 disconnected table columns in the matrix column section.
Hope it will help you.