Have you ever jumped back to normal view from print preview and noticed the annoying page break lines? They look distracting. They are like a naughty kid shouting for attention. look at me!!!
How do we get rid of those lines after completing our business with print preview?!?
Very simple. We just copy everything, press CTRL+C and then paste in a new workbook!
Of course, I am kidding. There is a better way.
You can click on Office button > Excel Options > Advanced > Scroll down to “Display options for this…” and then un-check Show Page Breaks option.
Aah, it would be much more simple to take a flight, go to Colombia, visit a coffee estate, gather beans, bring them back home, roast and ground them and make a coffee.
But then, we are not after Coffee. We are after those nasty print preview lines.
So here is a much simpler option to get rid of them, on click of button.
We just write a macro.
- Press ALT+F11 in your workbook to go to Visual Basic Editor (VBE).
- Now, locate Personal macros workbook in the project explorer. Just open the macros module (or insert a new one). [more on this here]
- Write a single line macro like this:
Sub disablePageBreaks()
ActiveSheet.DisplayPageBreaks = False
End Sub - Save your personal macros workbook.
- Come back to Excel (ALT+F11 again).
- Add this macro as a button to Quick Access Toolbar
- Now, you can just press the QAT button or use the relevant ALT shortcut (for eg. if the macro button is 4th one in QAT, you can just press ALT+4 to run it).
That is all. Now with all the saved time, you can go to Colombia for a cup of coffee. Make sure you bring me a kilo of that Juan Valdez beans.
More on Printing:
If you like to print and hurt a few trees, make sure you have read these.
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...