How to properly combine data in a table that has multiple columns tracking similar information

[M-Beans]

HI,

  Below is a screenshot of a googlesheet that is used to track uptime, loss hours, lost tons, loss reasons and sub reasons.

In order to be able to split up the loss tons in a single day and attribute to different reasons there are multiple columns of loss tons, and associated columns for the reasons and sub reasons. When trying to bring this data into a visual, I would like to be able to show the total tons for each type of loss reason ( The loss reason choices are the same for all 3 columns) , and even break it down to sub loss reason, but since there are multiple columns for Loss tons ( 1,2,3)  and Loss Reasons (1,2,3) . . I'm not sure the best way to maniputlate this table in Power BI so that it properly calculates all of the loss tons for the associated reason( Loss tons 1 --> Loss Reaons 1--> Sub Loss Reason 1) and make sure the loss tons in column "Loss Reason Tons #1" is asscoiated with "Loss Reason #1" and "Sub Loss Reason #1" and can properly add total tons together if the loss reasons are the same but in a different column. 

[M-Beans]

I didn't do a great job of explaining this:

This is the current format of how the data is showing up in Query Editor

Date Column, Loss Reason #1 Tons Column, Loss Reason #1 Column, Sub Loss Reason #1 Column,  Loss Reason #2 Tons Column, Loss Reason #2 Column, Sub Loss Reason #2 Column,  Loss Reason #3 Tons Column, Loss Reason #3 Column, Sub Loss Reason #3 Column.

The Goal is to shape the data in query editor so I have:

 Date Column, Loss Tons Column, Loss Reason Column, Sub Loss Reason Column.

When I try using the Unpivot function: I end up getting all the cell contents for all of the columns in the Value column:

If I attempt to select all the like columns like  Loss Reason #1 Tons Column,  Loss Reason #2 Tons Column,  Loss Reason #3 Tons Column:  I end up getting duplicates in the other columns that I want to unpivot.

Any steps you suggest so that I can properly pair down to 4 Columns that would have the Date, correct Tons associated with the correct loss reason, and correct sub loss reason ( if there is one)? 

Regards,

[Anonymous]

Hi @M-Beans ,

Based  on your problems, here are my answers.

I think you can use Matrix visualization. It’s similar to a table but supports multiple dimensions and a stepped layout.

Also the drill through may help you too.

Best Regards

Yilong Zhou

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