Hello All,
Looking for help with a formula. I have attached a sample data set (see below 4 rows) and will spell out the logic I hope to obtain. I can include further information if it is not clear what's trying to be accomplished. I have 4 validating criteria that have been provided weights. I need a formula to go across the 4 validators (columns) look at validator "A" and "C" and identify if those values are 0 to skip over that row. Now, if "A" or "C" is populated I need that row to still be accounted for, just those ones where "A" and "C" = 0 are they to be skipped over. So in my data set below the first row would be the one skipped over but the 3 next would all have the sum of their percentages in the column to the right of "D".
If "A" and/or "C" are populated I need to sum those percentages together in the next column to "D". Does this make sense? If not I will try and clear up my request. All help is appreciated!!
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Looking for help with a formula. I have attached a sample data set (see below 4 rows) and will spell out the logic I hope to obtain. I can include further information if it is not clear what's trying to be accomplished. I have 4 validating criteria that have been provided weights. I need a formula to go across the 4 validators (columns) look at validator "A" and "C" and identify if those values are 0 to skip over that row. Now, if "A" or "C" is populated I need that row to still be accounted for, just those ones where "A" and "C" = 0 are they to be skipped over. So in my data set below the first row would be the one skipped over but the 3 next would all have the sum of their percentages in the column to the right of "D".
If "A" and/or "C" are populated I need to sum those percentages together in the next column to "D". Does this make sense? If not I will try and clear up my request. All help is appreciated!!
A</SPAN> | B</SPAN> | C</SPAN> | D</SPAN> |
0.00</SPAN> | 25.00</SPAN> | 0</SPAN> | 33.00</SPAN> |
0.25</SPAN> | 0</SPAN> | 0.25</SPAN> | 0</SPAN> |
0.25</SPAN> | 0</SPAN> | 0</SPAN> | 0</SPAN> |
0.25</SPAN> | 0.33</SPAN> | 0</SPAN> | 0</SPAN> |
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