Recently, I wrote a tutorial on tax burden in USA chart.
Jared, One of our readers liked this chart very much. Jared works as a workforce scheduler and has data similar to our chart. So he applied the same technique to analyze monthly service levels for last 7 years & sent me the file so that I can share it with all of you.
Monthly service levels in last 7 years – Demo:
First take a look at the demo of Jared’s chart.
Recipe of this chart
This chart construction is similar to our Tax burden chart. Only addition is the cool scroll bar at bottom to see any month’s service level across years.
How does the scroll bar work?
- If you have never used scroll bar or any other form controls, read our introduction to form controls page.
- The chart has one extra series that shows selected month’s value and a bunch of #N/As.
- Scroll bar is setup to have minimum 1, maximum 12 and is linked to a cell.
- Based on scroll-bar selection, we turn on one of the months and make the rest of values NA()
- Using a simple IF formula
- For this extra series, Jared added 100% negative error bar so that a nice drop line is shown when you select a month.
That is all.
Download Jared’s Example and get inspired
Click here to download this workbook. Play with it to learn more. Use this idea in your work and impress someone. Become awesome.
Do you like this example? Say thanks to Jared…
I really loved Jared’s creativity and simple solution. Not to mention his kindness to share this with me and all of you. This shows that by using easy features like scroll bars, slicers, regular charts we can create something that is stunning, meaningful and powerful – right inside Excel.
What about you? Do you like this example? If you learned something new, say thanks to Jared for sharing this with us.
PS: If you want to share your story of how you use Excel to do something awesome, please email me. I am eager to learn from your examples and share your stories on Chandoo.org.
18 Responses to “Best Charts to Compare Actual Values with Targets – What is your take?”
Great post. I can't vote, though, because the answer I want to put down is "it depends". As with all visualisations, you've got to take into account your audience, your purpose, technical skills, where it will be viewed, etc.
I'm with Andy: It depends. Some I would use, some I might use, some I won't touch with a barge pole.
Naturally I have comments 🙂
The dial gauge, though familiar, is less easy to read than a linear type of chart (thermometer or bullet). It's really no better than the traffic lights, because all it can really tell you is which category the point falls in: red, yellow, or green.
By the same token, pie charts are so familiar, people don't know they can't read them. Remember how long it takes kids to learn to read an analog clock?
Bullet charts don't show trends.
With any of the charts that have a filled component and a marker or ine component, it makes more sense to use the filled component (area/ column) for target, and the lines or markers for actual.
[...] Best Charts to Compare Actual values with Targets (or Budgets … [...]
I voted for #6 even though I agree with the other comments that it depends.
The majority of the votes are for the #2, thermometer chart. I still have yet to understand what happens when you are above plan/goal, which was brought up in yesterday's post.
Also, I agree with Jon in that it would be better to flip the series and make the filled part the target or goal and the line or marker the actual.
I am also a fan of using text when appropriate if the data is among other metrics in a type of dashboard. Calling it out by saying actual and % achievement is a good option.
Another "it depends" vote. Are you just looking at one or are you comparing a number of targets with actuals? You didn't include a text box. The problem with sentences is that they can get lost in a page of gray text. A text box can call attention to the numbers and line them up effectively.
I'm with Jon: "Some I would use, some I might use, some I won’t touch with a barge pole" and I'm surprised that some of your readers voted for the last group.
Jon says:
With any of the charts that have a filled component and a marker or line component, it makes more sense to use the filled component (area/ column) for target, and the lines or markers for actual.
Why does this make more sense? I like 6 the way it is, although I would use a heavy dash for the plan/target marker.
"It depends" is also my take. What I usually try to drill into my clients dashboard design is the fu ndamental difference between spot results (am I on target for this month) and long term trends.. I always try to create 3 different set of graphs to represent real perormance:
- spot results vs objectives
- cumulative results vs objectives
- long-term trend (moving average) mostly) to see where we're going
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Jon says:
With any of the charts that have a filled component and a marker or line component, it makes more sense to use the filled component (area/ column) for target, and the lines or markers for actual.
Why does this make more sense? I like 6 the way it is, although I would use a heavy dash for the plan/target marker.
I totally agree, Bob. I would normally favour a line for the target and a column for the actual, you can see quite easily then which columns break through the line, then.
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Thermometer charts: "Not appropriate when actual values exceed targets" - this is easily solved by making the "mercury" portion a different color from the border, then you can clearly see where the expected range ends and the actual values keep going.
People seem to knock gauges quite a bit in dashboarding, but trying to show comparison of realtime data between operating sites and targets for each site can easily be done with a bank of gauges that have the optimal operating points at 12 o'clock.
The human eye is great at pattern stripping, and any deviation of a gauge from the expected 12 position will quickly register with an operator and attract his attention. Using a colour background, or meter edge, will also indicate the sensitivity of a particular site.
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I am wondering how will the plotting work, for some of the targets which may have been achieved before time. E.g. for the month of Jul the target was 226 and the actual was 219. So the chart will show a deficit in meeting the target by 7 points but what if this 7 may have been completed earlier in month of June. So ideally it not a deficit.