In our excel paste tricks post, I have mentioned a paste special feature called “skip blanks” that can apparently be used to skip blank cells when pasting data. I am writing about this again because, I have received an email from Bruce saying,
This is erroneous. In actuality, the result that is pasted is the same size as what was copied, only in those cell references that were copied that happened to be blank, the destination cell references aren’t “written over”
and he is correct, I am wrong. I am sorry for this mistake. For some reason I didn’t test this tip while writing, I some how thought excel skips blank cells while pasting and shared the tip with you all. My mistake and thanks alot to Bruce for teaching me this tip in the correct way. I test all the tips posted here on at least one version of excel, this was an exception, I am hoping it will not be repeated.
Just in case you want to skip blank cells, here is a work around.
Apply data filters on the range from which you want to remove blanks, filter by non-blank cells and select it. Press ctrl+c and paste it wherever you want. Excel pastes only cells matching the filter criteria (thus skipping blanks)
PS: I have corrected the post too. The e-book will be corrected later on.
8 Responses to “Pivot Tables from large data-sets – 5 examples”
Do you have links to any sites that can provide free, large, test data sets. Both large in diversity and large in total number of rows.
Good question Ron. I suggest checking out kaggle.com, data.world or create your own with randbetween(). You can also get a complex business data-set from Microsoft Power BI website. It is contoso retail data.
Hi Chandoo,
I work with large data sets all the time (80-200MB files with 100Ks of rows and 20-40 columns) and I've taken a few steps to reduce the size (20-60MB) so they can better shared and work more quickly. These steps include: creating custom calculations in the pivot instead of having additional data columns, deleting the data tab and saving as an xlsb. I've even tried indexmatch instead of vlookup--although I'm not sure that saved much. Are there any other tricks to further reduce the file size? thanks, Steve
Hi Steve,
Good tips on how to reduce the file size and / or process time. Another thing I would definitely try is to use Data Model to load the data rather than keep it in the file. You would be,
1. connect to source data file thru Power Query
2. filter away any columns / rows that are not needed
3. load the data to model
4. make pivots from it
This would reduce the file size while providing all the answers you need.
Give it a try. See this video for some help - https://www.youtube.com/watch?v=5u7bpysO3FQ
Normally when Excel processes data it utilizes all four cores on a processor. Is it true that Excel reduces to only using two cores When calculating tables? Same issue if there were two cores present, it would reduce to one in a table?
I ask because, I have personally noticed when i use tables the data is much slower than if I would have filtered it. I like tables for obvious reasons when working with datasets. Is this true.
John:
I don't know if it is true that Excel Table processing only uses 2 threads/cores, but it is entirely possible. The program has to be enabled to handle multiple parallel threads. Excel Lists/Tables were added long ago, at a time when 2 processes was a reasonable upper limit. And, it could be that there simply is no way to program table processing to use more than 2 threads at a time...
When I've got a large data set, I will set my Excel priority to High thru Task Manager to allow it to use more available processing. Never use RealTime priority or you're completely locked up until Excel finishes.
That is a good tip Jen...