Long time PHD reader and mother of a lovely kid, Michelle, sent me a question in email that provoked me to write this post,
I was wondering how to tabulate large amount of information gathered through surveys. Where I work customers are constantly handed survey sheets in order for us to measure how the service -among other things- is being perceived. Now, to put all that info into a spreadsheet (plus charts) can be really tedious.
So far I manage to get the job done by assigning 1 to 4 values were 1 sucks and 4 is great and so there I go column after column (each column is one individual survey) filling my 1 to 4’s answers. I know there’s an easy version with VBA; problem is that I am a total ignorant in that area. Any suggestions?
Few ideas that would make consolidation easy:
- Make sure all the source files are in the same format: make a template that your colleagues can use to input the data every month. This way you can use 3D references to summarize the data.
- Create a user form so that your audience can enter information in that instead of directly entering it in spreadsheet.
- Find out if the survey or other type data collection can be fed to a database. This way, every month we can import the data using data connections.
- If we actually end up with sheets with different data formats, spend sometime and study the anomalies. Then you can develop a small macro or find-replace routine that would clean the data. [related: clean data using excel]
- Try to save the files as CSV and open them in a regular expression capable editor like Notepad++. Now match and clean up data.
- All else fails, get a strong cup of coffee, put on some music, roll your sleeves and start alt+tabbing.
But more than these ideas, I am interested to know how YOU solve this problem.
I think this is a very common problem. Since I have very little experience in the area of consolidating data from multiple sheets in to one, I couldn’t give her any real advise. So now I am turning to you.
- Do you use any add-ins or macros to consolidate data? What is your experience like, what would you recommend?
- What shortcuts, ideas and cool things you use when working on data from multiple sheets?
- How do you usually clean / normalize the data?
Please discuss.
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...