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Matching two spreadsheets & deleting "False" matches
Hi! I'm working with two different lists of inventory. The first one is a
list of inventory that a program recommends: HOWEVER, this list may have parts that are outdated or that have been cancelled. The second list is an updated list of ALL the available inventory our company produces, all of which is still in production. I'm trying to reconciliate the two lists and basically delete all products in the first list that are not on the second list (products that have been superseded or cancelled). The unique identifier for each product is product number, located in Column C. Is there a way to do that in Excel? I tried using: =ISNUMBER(MATCH(C7,Sheet2!C:C,0)) to see if the part numbers in sheet one are in sheet 2, and it gave me "TRUE/FALSE" entries. This method might work, but is there an easy way to delete all "FALSE" entries? Or is there a whole different approach that might be easier/more practical for such huge files? |
#2
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Matching two spreadsheets & deleting "False" matches
If you then sort on the column that has the true/false you'll have all your
false ones together and can easily delete them. "Lily" wrote: Hi! I'm working with two different lists of inventory. The first one is a list of inventory that a program recommends: HOWEVER, this list may have parts that are outdated or that have been cancelled. The second list is an updated list of ALL the available inventory our company produces, all of which is still in production. I'm trying to reconciliate the two lists and basically delete all products in the first list that are not on the second list (products that have been superseded or cancelled). The unique identifier for each product is product number, located in Column C. Is there a way to do that in Excel? I tried using: =ISNUMBER(MATCH(C7,Sheet2!C:C,0)) to see if the part numbers in sheet one are in sheet 2, and it gave me "TRUE/FALSE" entries. This method might work, but is there an easy way to delete all "FALSE" entries? Or is there a whole different approach that might be easier/more practical for such huge files? |
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