I need to normalize a table. My RAW table consist of Months, Team Names, and several unique KPI headers in a single table. However, these headers are found every 4 rows inside a single table that define what each values are for underneath them, and these headers aren't identical in each column. I want to normalize it and get its computation based on Month, Team, and unique headers. I hope I am able to explain my goal here, but here is an example of what I am trying to achieve.
If you noticed, I only have Month and Team as my identical column headers, but their KPI headers started to go random afterwards, I need to get a computation (SUM for example) as the expected result (See Row 15 "Expected Result").
PS: I didn't finish the result and only did the first column "Column 1" which gets the total sum from all "Columns 1" from Sample RAW data, based from the Month and Team on the left (Column A & B)
I hope anyone can get it, I really don't know how to clearly explain it but I am tasked of something like this and I can't find a quick solution to sort this out.
Below is the text version of my screenshot.
Thanks in advance!
Sample Raw Data Table
Month Team Column 1 Column 2 Column 3 Column 4 Column 5 Column 6 June Alpha 12 23 34 56 67 89 June Bravo 56 67 89 12 23 34 June Charlie 67 89 12 34 56 67 Month Team Column 1 Column 2 Column 3 Column 5 Column 6 Column 7 Column 8 July Alpha 34 23 2 12 34 2 12 July Bravo 53 34 13 31 24 1 12 July Charlie 54 34 15 76 23 54 23 Month Team Column 1 Column 2 Column 3 Column 5 Column 8 Column 9 Column 10 Column 11 August Alpha 23 56 78 98 12 33 11 55 August Bravo 5 62 32 72 65 41 2 12 August Charlie 32 43 23 53 21 35 54 11 Expected Output
Month Team Column 1 Column 2 Column 3 Column 4 Column 5 Column 6 Column 7 Column 8 Column 9 Column 10 Column 11June Alpha 12 July Bravo 53 August Charlie 32