Sometimes we get values in our Excel sheets in such a way that the % sign is omitted. So instead of the value being 23%, it is 23. Now, you can very easily correct this by editing the cell and adding a % sign at the end. But what if you have 100s of rows of data. You can’t do this to every cell. (You can not just format the cells to % format either, excel shows 23 as 2300% then). There must be some simple and intuitive solution for this … umm.
Of course there is..
To clean up incorrect percentages just follow these 4 steps.
- Type 100 in an empty cell. Now copy the cell by pressing CTRL+C
- Select cells with incorrect percentages, and press ALT+E S (alternatively right click and select Paste Special)
- Now, Select “Divide” from operation area. See it aside.
- That is all. We have divided all the values in incorrect percentage cells by 100. Make sure the cells are formatted in % style to show 0.23 as 23%.
Bonus: You can remove % signs by multiplying cell values with 100.
Bonus*Bonus: You can convert a bunch of hours to days by dividing them with 24, minutes to hours by dividing with 60 etc.
Bonus Bonus: 15 more ways to use Excel’s paste special. Do you know all of them?
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...