SubscribeMake a Quick Thermometer Chart to Compare Targets and Actuals
Comparing values is one of the reasons why we make charts. So today I am going to teach you a handy little trick to make a thermometer like chart to compare targets with actuals. This type of chart is very useful when you have a bunch of sales targets and you want to measure how the performance has been. [Read excel theremometer charts for another option.]
To make a thermometer chart, just follow these 5 simple steps.
1. Select the data and make a column chart
Select the data and insert a column chart.
2. Select a chart data series and adjust “overlap” to “100% overlapped”
This will ensure that one series of the chart is 100% overlapped with another.
3. Format the target series so that only outline is shown
Select the series and set fill color to none, set the border color same as the fill color of “actual” series.
4. Remove grid lines and add data labels
Now our chart looks more like a thermometer.
5. Now go figure out why Acid Pops are struggling to sell
Yep, that is the fifth step. Go figure out why the targets are not met.
Bonus tip: If sometimes actual values are more than targets, then you should try different colors for target series’ border and actual series fill, like this:
Download chart template and compare 2 sets of values easily
Click here to download the excel file and use thermometer chart template.
How do you compare values?
Share your techniques and charting ideas using comments. Tell us how you compare values.
Additional tutorials & material:
Compare actual values with targets using excel and other excel charting tutorials. Also check out our section on excel dashboards.
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At Pointy Haired Dilbert, I have one goal, "to make you awesome in excel and charting". PHD is started in 2007 and today has 300+ articles and tutorials on using excel, making better charts. 
You’ll probably have some readers insist on bullet charts, which in my experience are no easier to read.
Note on the case where actuals may exceed targets, the target has to be the second series in the chart, not the first, so it appears in front of the actual.
@Jon.. good point. And yes, readers are already saying bullets are the way to go. Atleast @dmgerbino said it on twitter: http://twitter.com/dmgerbino/status/6761754333
But I feel the same as you did. Bullets need orientation to get started and not that easy to construct (here is a tutorial btw… http://chandoo.org/wp/2008/07/21/dashboard-bullet-graphs-excel/ )
When you just have to compare 2 sets of values, a chart like above is good and easy enough.
And yes, thank you for saying that data series order should be correct to show the target on top.
I think bullet charts are a good alternative. I’m not a huge fan of the formatting that you used above where the outline is so thick.
Another option would be to combine a line graph (plan/goal amounts) with the columns (actual) and select the option to remove the line. This leaves just the value (marker), which can be increased in size to leave only a line about the size of the bar. It’s an easy and cleaner way to show actual to plan/goal. Does that make sense?
Tony -
I would use columns (or area) for goal, and lines and markers for actual.
What about if you go over the target? The chart doesn’t work so well then.
The technique described today is a near bullet chart. As I stated early this morning on Twitter (link: http://bit.ly/4K3yPM ) , I am a fan of Stephen Few’s Bullet Graph.
Hubert Urruttia and I started with Charlie Kyd’s method, but as Jon Peltier and Chandoo said, they are not easy to contruct. We moved onto prototyping with Fabrice Rimlinger’s SPARKLINES FOR EXCEL and now use XLCube’s (BonaVista) Micro Chart tool. Both of these tools allow you to create bullet charts just as easy as any Excel chart type.
As far as reading and interpreting them, this chart type has been the easiest for us to present.
There are many chart types. Today’s “Make a Quick Thermometer Chart to Compare Targets and Actuals” is fine for a start, but your ultimate goal should be to create Bullet Graphs. AS Stephen Few states in his overview, “The bullet graph was developed to replace the meters and gauges that are often used on dashboards. Its linear and no-frills design provides a rich display of data in a small space, which is essential on a dashboard. Like most meters and gauges, bullet graphs feature a single quantitative measure (for example, year-to-date revenue) along with complementary measures to enrich the meaning of the featured measure. Specifically, bullet graphs support the comparison of the featured measure to one or more related measures (for example, a target or the same measure at some point in the past, such as a year ago) and relate the featured measure to defined quantitative ranges that declare its qualitative state (for example, good, satisfactory, and poor). Its linear design not only gives it a small footprint, but also supports more efficient reading than radial meters.”
@dmgerbino
Since @dmgerbino had to bring my name up I guess I should throw in my two cents.
@dmgerbino and I have both implemented Bullet Charts with great success. What is most interesting about this fact is that we have had a harder time implementing Sparklines than Bullet Charts. The reason for this revolves around the simple fact of familiarity. I will explain. People look at a Sparkline and they think it is a really small Line Chart and it is not. People are familiar with Line Charts since they have been around since 1786 when they were created by William Playfair. Bullet Charts on the other hand are different so they almost demand an explanation. Because of this there was a lot of face time that was needed to explain these charts but once people got them they understood the concept. This is similar to when I introduced Cycle Plots http://bit.ly/87ydVG (Thank you @nbrgraphs!) or Horizon Charts http://bit.ly/6PVavj.
Now about the Thermometer Charts… The first thing I want to address is Tony Rose’s statement. I totally agree that the outline on the chart is too think. It might come of as being a whole new series or a new variable. What I have done in instances like this is I have created a Bar Graph and Scatter Plot mixture. Then I have turned off the Data Series on the Scatter Plot and turned on the Horrizontal Error Bars on the Scatter Plot. The new horizontal line stands for the Plan and the Bar is the actual. The reason why I find this more useful is because this technique works if you have exceeded plan. Actually, I do not understand how Chandoo’s method would display the data if Plan is surpassed.
This reminds me of another blog post that @dmgerbino, @Jon_Peltier, and myself commented on over a year ago. http://bit.ly/PNdO Actually, I talk about similar things in regards to familiarity to charting techniques.
- @hubert_urruttia