Revised Information, still looking for solution.
I am trying to Group Columns based on Row Criteria and Creating a new Sheet for the results. For example, I am trying to group the columns based on the top row, then create a sheet with the "subtotals" for each group?
Data
x | y | xx | z | x | z | y | zz | zz | |||
123P4 | 345P6 | 123P4 | 123P4 | 445P9 | 123P4 | 355P5 | 123P4 | 345P6 | |||
P4 | P6 | P4 | P4 | P9 | P4 | P5 | P4 | P6 | |||
Colby | Moore | Colby | Colby | Ralph | Colby | Jim | Colby | Moore | |||
Year To Date | Year To Date | Year To Date | Year To Date | Year To Date | Year To Date | Year To Date | Year To Date | Year To Date | |||
Aug-22 | Aug-22 | Aug-22 | Aug-22 | Aug-22 | Aug-22 | Aug-22 | Aug-22 | Aug-22 | |||
Account | Account Description | C123P4 - XY Corp. | C345P6 - XYZ Investment LLC | C123P4 - XY Corp. | C123P4 - XY Corp. | C445P9 - BB LP | C123P4 - XY Corp. | C355P5 - ABC Investment LLC | C123P4 - XY Corp. | C345P6 - XYZ Investment LLC | |
44123 | TOTAL | Acct 1 | 12345.66 | 22345.66 | 12345.66 | 12345.66 | 32345.66 | 12345.66 | 10 | 12345.66 | 22345.66 |
44124 | TOTAL | Acct 2 | 2345.68 | 32345.68 | 2345.68 | 2345.68 | 332345.68 | 2345.68 | 250 | 2345.68 | 4400 |
44125 | TOTAL | Acct 3 | 564.88 | 1564.88 | 564.88 | 564.88 | 31564.88 | 564.88 | 700 | 564.88 | 1564.88 |
44125 | TOTAL | Acct 4 | 12345.66 | 22345.66 | 12345.66 | 12345.66 | 32345.66 | 12345.66 | 10 | 12345.66 | 22345.66 |
44126 | TOTAL | Acct 5 | 2345.68 | 32345.68 | 2345.68 | 2345.68 | 332345.68 | 2345.68 | 250 | 2345.68 | 32345.68 |
44127 | TOTAL | Acct 6 | 564.88 | 1564.88 | 564.88 | 564.88 | 31564.88 | 564.88 | 700 | 564.88 | 1564.88 |
44128 | TOTAL | Acct 7 | 564.88 | 1564.88 | 564.88 | 564.88 | 31564.88 | 564.88 | 700 | 564.88 | 1564.88 |
44129 | TOTAL | Acct 8 | 12345.66 | 22345.66 | 200 | 12345.66 | 32345.66 | 12345.66 | 10 | 12345.66 | 22345.66 |
44130 | TOTAL | Acct 9 | 2345.68 | 32345.68 | 2345.68 | 2345.68 | 332345.68 | 2345.68 | 250 | 2345.68 | 32345.68 |
44131 | TOTAL | Acct 10 | 564.88 | 1564.88 | 400 | 564.88 | 31564.88 | 564.88 | 700 | 564.88 | 1564.88 |
44132 | TOTAL | Acct 11 | 564.88 | 1564.88 | 564.88 | 564.88 | 31564.88 | 564.88 | 700 | 564.88 | 1564.88 |
44133 | TOTAL | Acct 12 | 12345.66 | 22345.66 | 12345.66 | 600 | 32345.66 | 12345.66 | 10 | 12345.66 | 22345.66 |
44134 | TOTAL | Acct 13 | 2345.68 | 32345.68 | 2345.68 | 2345.68 | 332345.68 | 2345.68 | 250 | 2345.68 | 32345.68 |
44135 | TOTAL | Acct 14 | 564.88 | 1564.88 | 564.88 | 800 | 31564.88 | 100 | 700 | 564.88 | 1564.88 |
44136 | TOTAL | Acct 15 | 564.88 | 1564.88 | 564.88 | 564.88 | 31564.88 | 564.88 | 700 | 564.88 | 1564.88 |
44137 | TOTAL | Acct 16 | 12345.66 | 22345.66 | 12345.66 | 12345.66 | 32345.66 | 700 | 10 | 12345.66 | 22345.66 |
44138 | TOTAL | Acct 17 | 2345.68 | 32345.68 | 2345.68 | 2345.68 | 332345.68 | 1000 | 250 | 3300 | 32345.68 |
44139 | TOTAL | Acct 18 | 564.88 | 1564.88 | 564.88 | 564.88 | 31564.88 | 564.88 | 700 | 564.88 | 1564.88 |
Desired Output
Group x | Group y | z | xx | zz | ||||
Year To Date | Year To Date | Total | ||||||
Aug-22 | Aug-22 | |||||||
Account | Account Description | |||||||
44123 | TOTAL | Acct 1 | 44691.32 | 22355.66 | 24691.32 | 12345.66 | 34691.32 | 138,775.28 |
44124 | TOTAL | Acct 2 | 334691.36 | 32595.68 | 4691.36 | 2345.68 | 6745.68 | 381,069.76 |
44125 | TOTAL | Acct 3 | 32129.76 | 2264.88 | 1129.76 | 564.88 | 2129.76 | 38,219.04 |
44125 | TOTAL | Acct 4 | 44691.32 | 22355.66 | 24691.32 | 12345.66 | 34691.32 | 138,775.28 |
44126 | TOTAL | Acct 5 | 334691.36 | 32595.68 | 4691.36 | 2345.68 | 34691.36 | 409,015.44 |
44127 | TOTAL | Acct 6 | 32129.76 | 2264.88 | 1129.76 | 564.88 | 2129.76 | 38,219.04 |
44128 | TOTAL | Acct 7 | 32129.76 | 2264.88 | 1129.76 | 564.88 | 2129.76 | 38,219.04 |
44129 | TOTAL | Acct 8 | 44691.32 | 22355.66 | 24691.32 | 200 | 34691.32 | 126,629.62 |
44130 | TOTAL | Acct 9 | 334691.36 | 32595.68 | 4691.36 | 2345.68 | 34691.36 | 409,015.44 |
44131 | TOTAL | Acct 10 | 32129.76 | 2264.88 | 1129.76 | 400 | 2129.76 | 38,054.16 |
44132 | TOTAL | Acct 11 | 32129.76 | 2264.88 | 1129.76 | 564.88 | 2129.76 | 38,219.04 |
44133 | TOTAL | Acct 12 | 44691.32 | 22355.66 | 12945.66 | 12345.66 | 34691.32 | 127,029.62 |
44134 | TOTAL | Acct 13 | 334691.36 | 32595.68 | 4691.36 | 2345.68 | 34691.36 | 409,015.44 |
44135 | TOTAL | Acct 14 | 32129.76 | 2264.88 | 900 | 564.88 | 2129.76 | 37,989.28 |
44136 | TOTAL | Acct 15 | 32129.76 | 2264.88 | 1129.76 | 564.88 | 2129.76 | 38,219.04 |
44137 | TOTAL | Acct 16 | 44691.32 | 22355.66 | 13045.66 | 12345.66 | 34691.32 | 127,129.62 |
44138 | TOTAL | Acct 17 | 334691.36 | 32595.68 | 3345.68 | 2345.68 | 35645.68 | 408,624.08 |
44139 | TOTAL | Acct 18 | 32129.76 | 2264.88 | 1129.76 | 564.88 | 2129.76 | 38,219.04 |
Total | 2,153,951.48 | 292,875.74 | 130,984.72 | 65,665.20 | 336,960.12 | 2,980,437.26 |
I tried transpose and then summarize plus multi field formula but I can't seem to get it. Thank YOU!
Solved! Go to Solution.
I edited my post to include a better example
I will try another example, that worked perfectly for the two groups, but I have 9 "groups" and hundreds of accounts and columns....so I was hoping to group those that had the same group name and keep all accounts....but I would have to do the formula hundreds of formulas and know which one was what group. Any tips to make this easier?
Thank You very Much!
@binuacs Thank you!