Pivot Tables are an integral part of Excel based reports. So it is no surprise that many of create multiple pivot reports in one Excel workbook.
So when the underlying data changes, we often spend time refreshing individual pivot tables. Today, I want to share a quick tip about how to refresh all pivot tables at once.
Refreshing All Pivot Tables in One Click:
- Go to Data Ribbon
- Click on Refresh All button (or press CTRL+ALT+F5)
- That is all!
This simple step can update all pivot tables and data connections in one go. What a time saver this is.
One line Macro to Refresh All Pivot Tables
If you want to use VBA (Macros) to refresh your pivot tables, the code is equally silly. Just add this line:
ActiveWorkbook.RefreshAll- or use
Workbooks(1).RefreshAllto refresh Pivots & Connections in first workbook
Do you use RefreshAll?
Ever since I learned about Refresh All, I have been using it in all my reports & dashboards. In fact, I even use the ActiveWorkbook.RefreshAll statement in my macro-enabled reports to automatically refresh all pivot tables during report generation.
What about you? Do you use Refresh All feature? What other Pivot Table Tricks you know? Please share your experience & tips using comments.
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...