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#1
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concatenate problem
I have a database of names, addresses, and miscellaneous data that I'm trying to de-dup. The problem is that duplicate names and addresses do not have duplicate values in the other columns. What I need to do is combine the values for the other columns into one entry for each unique name and address.
What I'm trying to do is identical to using the subtotal tool, if only the subtotal tool allowed me to use the concatenate function, rather than, say, sum or average. Any thoughts? |
#2
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Posting an example of your problem would probably garner you several
efficient means for accomplishing your task "joe peters" wrote: I have a database of names, addresses, and miscellaneous data that I'm trying to de-dup. The problem is that duplicate names and addresses do not have duplicate values in the other columns. What I need to do is combine the values for the other columns into one entry for each unique name and address. What I'm trying to do is identical to using the subtotal tool, if only the subtotal tool allowed me to use the concatenate function, rather than, say, sum or average. Any thoughts? -- joe peters |
#3
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I combined three different mail lists into one list, and need to remove the duplicates. Unfortunately, each of the three lists has valuable info that needs to be kept that the other two don't, so I can't simply eliminate the duplicate names. I need to compress the values from each entry into one entry.
Example: 5 columns: "Salutation", "First", "Last", "Address", "E-mail" 3 rows: each has the same First and Last name. One row has the e-mail, one has the salutation, and the third has the address. How do I compress the three entries into one? There are some names that only occured on one or two lists rather than all three that got combined, so there's no uniform number of entries per person. This is why I'm thinking about the subtotal tool from the Data menu - if I could run a concatenate subtotal for each change in the name column, it would do the trick exactly. |
#4
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No ideas? There must be a way...
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#6
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I have 9,900 entries, with around 1,800 duplicate names. I really have no desire to go through them on an individual basis.
Quote:
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#7
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I would make a unique list of all first and last names using Data
Filter -Advanced filter --Unique in a separate part of your w/sheet Then do Vlookup for individual categories to go right next to the list that you created above. "joe peters" wrote in message ... I combined three different mail lists into one list, and need to remove the duplicates. Unfortunately, each of the three lists has valuable info that needs to be kept that the other two don't, so I can't simply eliminate the duplicate names. I need to compress the values from each entry into one entry. Example: 5 columns: "Salutation", "First", "Last", "Address", "E-mail" 3 rows: each has the same First and Last name. One row has the e-mail, one has the salutation, and the third has the address. How do I compress the three entries into one? There are some names that only occured on one or two lists rather than all three that got combined, so there's no uniform number of entries per person. This is why I'm thinking about the subtotal tool from the Data menu - if I could run a concatenate subtotal for each change in the name column, it would do the trick exactly. -- joe peters |
#8
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That did a great job of de-duping the list for me, but it only returned the values from a single entry per name. For example, I have Bob Smith listed twice, once with an e-mail address and once with a mailing address. The VLookup apparently only looked until it found the first entry for Bob Smith, and only returned the e-mail address.
How do I make the VLookup compile data from multiple rows? [quote=N Harkawat]I would make a unique list of all first and last names using Data Filter -Advanced filter --Unique in a separate part of your w/sheet Then do Vlookup for individual categories to go right next to the list that you created above. |
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