R
Ron
I have a spreadsheet that is approx. 10MB. It is approx.
27,000 rows of data extracted from an accounting system
that I am then trying to manipulate via additonal sheets
and formulas.
I usually use a pivot and simply copy and past special
value screen shots into other sheets. In an effort to make
things more efficient for me I have tried to write some
straightfoward formulas/functions into the spreadsheet.
It has a fair amount of simples links, VLOOKUPS and
recently I added some conditional sum formulas. With all
these whistles and bells (which work great) the
spreadsheet takes 15+ minutes to calculate, that is if it
doesn't shut down at some point during calculation.
10MB is not real big in my estimation, I can't believe the
file size is what is slowing me down.
I love using VLOOKUPS anf SUMIF and Conditional Sum type
formulas. Is it possible that those formulas aren't good
to use when your dealing with 27,000 lines of data. I am
stuck going back to the Pivot and simply copying that data?
Any help or thoughts would be appreciated, thanks!
27,000 rows of data extracted from an accounting system
that I am then trying to manipulate via additonal sheets
and formulas.
I usually use a pivot and simply copy and past special
value screen shots into other sheets. In an effort to make
things more efficient for me I have tried to write some
straightfoward formulas/functions into the spreadsheet.
It has a fair amount of simples links, VLOOKUPS and
recently I added some conditional sum formulas. With all
these whistles and bells (which work great) the
spreadsheet takes 15+ minutes to calculate, that is if it
doesn't shut down at some point during calculation.
10MB is not real big in my estimation, I can't believe the
file size is what is slowing me down.
I love using VLOOKUPS anf SUMIF and Conditional Sum type
formulas. Is it possible that those formulas aren't good
to use when your dealing with 27,000 lines of data. I am
stuck going back to the Pivot and simply copying that data?
Any help or thoughts would be appreciated, thanks!