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Comparison of data in two separate colunms
In "Column AW" I have a list of material items (there are some that are the
same), and in "Column AX" I have the weight associated with each item. My question is: How can I look up all "like items" in column AW and get a total of the combined weight (for these like items)? Thanks! |
Comparison of data in two separate colunms
use pivot table. add materials to row and weight to data and do a sum
function on the data. "thaenn" wrote: In "Column AW" I have a list of material items (there are some that are the same), and in "Column AX" I have the weight associated with each item. My question is: How can I look up all "like items" in column AW and get a total of the combined weight (for these like items)? Thanks! |
Comparison of data in two separate colunms
do a pivot. put materials in row and weight in data field and do sum on data.
"thaenn" wrote: In "Column AW" I have a list of material items (there are some that are the same), and in "Column AX" I have the weight associated with each item. My question is: How can I look up all "like items" in column AW and get a total of the combined weight (for these like items)? Thanks! |
Comparison of data in two separate colunms
For any one particular item (say Item1):
=sumif(aw:aw,"item1",ax:ax) If you have lots of these items, you may want to look at data|pivottables. thaenn wrote: In "Column AW" I have a list of material items (there are some that are the same), and in "Column AX" I have the weight associated with each item. My question is: How can I look up all "like items" in column AW and get a total of the combined weight (for these like items)? Thanks! -- Dave Peterson |
Comparison of data in two separate colunms
Thanks, I will give it a try!
"gchigo" wrote: use pivot table. add materials to row and weight to data and do a sum function on the data. "thaenn" wrote: In "Column AW" I have a list of material items (there are some that are the same), and in "Column AX" I have the weight associated with each item. My question is: How can I look up all "like items" in column AW and get a total of the combined weight (for these like items)? Thanks! |
Comparison of data in two separate colunms
I will try your suggestion, Thank you!
"Dave Peterson" wrote: For any one particular item (say Item1): =sumif(aw:aw,"item1",ax:ax) If you have lots of these items, you may want to look at data|pivottables. thaenn wrote: In "Column AW" I have a list of material items (there are some that are the same), and in "Column AX" I have the weight associated with each item. My question is: How can I look up all "like items" in column AW and get a total of the combined weight (for these like items)? Thanks! -- Dave Peterson |
Comparison of data in two separate colunms
That was the answer, Thanks Dave!
"Dave Peterson" wrote: For any one particular item (say Item1): =sumif(aw:aw,"item1",ax:ax) If you have lots of these items, you may want to look at data|pivottables. thaenn wrote: In "Column AW" I have a list of material items (there are some that are the same), and in "Column AX" I have the weight associated with each item. My question is: How can I look up all "like items" in column AW and get a total of the combined weight (for these like items)? Thanks! -- Dave Peterson |
Comparison of data in two separate colunms
One more way.
Sort your data by column AW. Then apply data|subtotals and subtotal using sum the values in column AX--based on the key in column AW. You can use the outlining symbols to the left to hide/show the details. thaenn wrote: That was the answer, Thanks Dave! "Dave Peterson" wrote: For any one particular item (say Item1): =sumif(aw:aw,"item1",ax:ax) If you have lots of these items, you may want to look at data|pivottables. thaenn wrote: In "Column AW" I have a list of material items (there are some that are the same), and in "Column AX" I have the weight associated with each item. My question is: How can I look up all "like items" in column AW and get a total of the combined weight (for these like items)? Thanks! -- Dave Peterson -- Dave Peterson |
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