Egil, one of our alert readers from Norway sent this to me in e-mail, which I swear, I am not making up – A Fancy Gauge Chart. See the e-mail and chart yourself.
To make it more industrial-like, I’ve added:
1. Brushed metal background picture
2. Gradient fill format to the pie shares
3. A gradient fill. semi-transparent square (to make glass effect)
4. Sqrew-head pics
The original gauge chart template behind Egil’s industrious effort caused enough debate among our community.
I think gauges are a poor way to visualize data, but I don’t completely shoot them down either. Gauges connect well with certain type of audience / situations – like kids, informal communications, conveying just one point etc. But it would be disastrous to have a gauge chart on your weekly dashboard to the CFO, no matter how industrial-like it is.
Download Egil’s version of the Gauge
Click here to download the fancy gauge chart template. Thanks Egil for your idea. I think it is pimptastic.
Anyways, here is a fun challenge:
Download the gauge, and pimp it in your style. Take a screenshot, upload it somewhere and link it here. I want to see how you would pimp it.
And if you are furious to see a gauge chart on this blog, remember, and I am not making this up either, today is Friday. Have fun folks.
PS: yes, I am HUGE fan of Dave Barry, and no, I am not making this up.
Added later: Just to be clear, I think Egil‘s implementation is pretty cool and shows what is possible with excel.
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...