Forum Discussion
How to setup multiple columns for visualization
Hi all,
I have been wrestling with an issue that was partially addressed by this forum but I can't quite get to a final solution. I am hoping the explanation below will help paint a picture of what I'm trying to achieve and hopefully someone much more clever than me will have a suggestion :)
I have a pbi file with multiple tables linked to Oracle, two of which are of particular interest:
. one table 'Transactions' which pulls all purchase transactions (thousand of lines of purchase orders) with a column containing a stock number [STOCK NUMBER]. THis stock number appears multiple times in the table
. one table 'Current Inventory' which pulls all distinct stock numbers along with various data such as drawing number, manufacturer details, etc. I have 4 columns of interest [Manufacturer #1], [Manufacturer #2], [Manufacturer #3] and [Manufacturer #4]. This is because one part can theoritically be manufactured by 4 different companies (whilst bought from only one).
I have already concatenated the 4 manufacturer columns so I can have a text filter to display all purchases relating to items falling under a specific manufacturer.
Now here is what I'd like to do: have a graph (ie pie chart) which shows me who are the manufacturers that are being the stock numbers we purchase the most. Problem is, stock number 1 could have vendor A listed in [Manufacturer #1], stock number 2 could have nothing, stock number 3 could have Vendor A listed in Manufacturer #1 as well as Manufacturer #2, etc etc.
I thought of creating a new table with two columns, one listing stock numbers (duplicated) and the other the manufacturers (being a combination of all 4 fields above). I'm not sure how to do this and then wonder what relationship to create to be able to do all this filtering.
Does anyone have a clever idea?
Thanks in advance :)
OF
- Anonymous8 years ago
Hi all,
I inspired myself from another post and found my solution :)
Manufacturer = DISTINCT ( UNION ( SELECTCOLUMNS('Current Inventory',"Manufacturer",'Current Inventory'[Manufacturer #1]), SELECTCOLUMNS('Current Inventory',"Manufacturer",'Current Inventory'[Manufacturer #2]), SELECTCOLUMNS('Current Inventory',"Manufacturer",'Current Inventory'[Manufacturer #3]), SELECTCOLUMNS('Current Inventory',"Manufacturer",'Current Inventory'[Manufacturer #4]), SELECTCOLUMNS('Current Inventory',"Manufacturer",'Current Inventory'[Manufacturer #5]), SELECTCOLUMNS('Current Inventory',"Manufacturer",'Current Inventory'[Manufacturer #6]), SELECTCOLUMNS('Current Inventory',"Manufacturer",'Current Inventory'[Manufacturer #7]), SELECTCOLUMNS('Current Inventory',"Manufacturer",'Current Inventory'[Manufacturer #8]), SELECTCOLUMNS('Current Inventory',"Manufacturer",'Current Inventory'[Manufacturer #9]), SELECTCOLUMNS('Current Inventory',"Manufacturer",'Current Inventory'[Manufacturer #10]), SELECTCOLUMNS('Current Inventory',"Manufacturer",'Current Inventory'[Manufacturer #11]) ) )
4 Replies
- v-yulgu-msftMicrosoft Employee
Hi Anonymous,
Please illustrate your scenario with sample data and image of desired output to help us better understand.
How to Get Your Question Answered Quickly
Regards,
Yuliana Gu
- AnonymousNot applicable
Hello,
Below is an example of what my table would look like (with a lot more information in the middle). Important to note here that there are no duplicates in the STOCK NUMBER column as it is used on a 1 to many relationship
STOCK NUMBER Manufacturer 1 Manufacturer 2 Manufacturer 3 Manufacturer 4 700000007 Volvo BMW 700000010 Ford Toyota Volvo 700000230 VW Alpha Romeo Honda BMW 700000440 Honda Toyota Lexus Volvo 700000560 Hyundai Below is an example of what visual I am trying to achieve
Effectively list all the manufacturers (without duplicates) across all tables with a count of stock numbers they are listed against.
Does anyone have a clever suggestion?
- AnonymousNot applicable
Hi all,
I inspired myself from another post and found my solution :)
Manufacturer = DISTINCT ( UNION ( SELECTCOLUMNS('Current Inventory',"Manufacturer",'Current Inventory'[Manufacturer #1]), SELECTCOLUMNS('Current Inventory',"Manufacturer",'Current Inventory'[Manufacturer #2]), SELECTCOLUMNS('Current Inventory',"Manufacturer",'Current Inventory'[Manufacturer #3]), SELECTCOLUMNS('Current Inventory',"Manufacturer",'Current Inventory'[Manufacturer #4]), SELECTCOLUMNS('Current Inventory',"Manufacturer",'Current Inventory'[Manufacturer #5]), SELECTCOLUMNS('Current Inventory',"Manufacturer",'Current Inventory'[Manufacturer #6]), SELECTCOLUMNS('Current Inventory',"Manufacturer",'Current Inventory'[Manufacturer #7]), SELECTCOLUMNS('Current Inventory',"Manufacturer",'Current Inventory'[Manufacturer #8]), SELECTCOLUMNS('Current Inventory',"Manufacturer",'Current Inventory'[Manufacturer #9]), SELECTCOLUMNS('Current Inventory',"Manufacturer",'Current Inventory'[Manufacturer #10]), SELECTCOLUMNS('Current Inventory',"Manufacturer",'Current Inventory'[Manufacturer #11]) ) )