Yesterday we have a post on using thermometer charts to quickly compare actual values with targets. Today we follow up the post with 10 charting ideas you can use to compare actual values with targets.
I have added my comments to each option along with useful links to learn how to make such a chart.
There is a poll too, at the end.
(1) Gauge / Speedometer Chart
What is good about this approach?
- Familiar metaphor thus easy to understand
- Easy to construct
- Good for communicating one data point
What is bad?
- Takes too much space
- Bad design choice for most professional situations
Tutorials to make Gauge / Speedometer Chart
(2) Thermometer Chart
What is good about this approach?
- Familiar metaphor thus easy to understand
- Easy to construct
- Good data to ink ratio
What is bad?
- Do not say anything about trends
- Not appropriate when actual values exceed targets
Tutorials to make Thermometer Chart
(3) Bullet Chart
What is good about this approach?
- Comprehensive
- Aesthetic and very good data to ink ratio
What is bad?
- Difficult to construct in Excel
- Takes time to read the first time
Tutorials to make Bullet Chart
Tutorial 1 | A bullet chart alternative
(4) Area Chart
What is good about this approach?
- Shows trend along with current status
- Easy to construct
- Easy to compare
What is bad?
- Not good for small data sets
(5) Line Charts
What is good about this approach?
- Easy to construct
- Shows trend along with current status
- Easy to read and understand
What is bad?
- Looks too simple
(6) Column Chart with Markers
What is good about this approach?
- Easy to compare & read
- Easy to construct
What is bad?
- Not good for small data sets
Tutorials to make Column Chart with Markers
(7) Partially Overlapped Chart
What is good about this approach?
- Easy to construct
What is bad?
- Difficult to compare
(8) Traffic Lights
What is good about this approach?
- Familiar metaphor thus easy to understand
- Easy to construct (with Excel 2007 Conditional Formatting)
- Good for tables
What is bad?
- Do not tell the entire story, so should be used only in tables or with other displays
(9) Pie Charts
What is good about this approach?
- Familiar metaphor thus easy to understand
- Easy to construct (with Excel 2007 Conditional Formatting)
- Good for tables
What is bad?
- Works when targets are 100%
- Cannot show when actual values are more than targets
- Pie charts can be hard to read
Tutorials to make Pie Charts
(10) Using Text – Just say the thing
What is good about this approach?
- Easy to read
- Highest Data to ink ratio
- Very easy to construct
What is bad?
- Too simple
- Leaves the finer details out
If you are reading this post on email or feed reader, please click here to access the poll.
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...