Creating KPI Dashboards in Microsoft Excel is a series of 6 posts by Robert.
This 6 Part Tutorial on KPI Dashboards Teaches YOU:
Creating a Scrollable List View in Dashboard
Add Ability to Sort on Any KPI to the Dashboard
Highlight KPIs Based on Percentile
Add Microcharts to KPI Dashboards
Compare 2 KPIs in the Dashboards Using Form Controls
Show the Distribution of a KPI using Box Plots
Dashboards have become quite popular in the last few years and in spite of all the Business Intelligence software products that provide dashboards, a lot of dashboards are still implemented with Microsoft Excel.
What is a Dashboard?
According to Stephen Few, one of the world-wide leading authorities on visualization and dashboard design,
a dashboard is a visual display of the most important information […] which fits entirely on a single computer screen […]
(Information Dashboard Design, 2006)
The Scrolling Problem
Fitting on a single computer screen is the challenge this post will solve. Imagine you have a large list of 100 or more items (e.g. products, sales regions, etc.) with several corresponding Key Performance Indicators (e.g. prices, costs of goods sold, sales, etc.) and you want to show this in a table on your management dashboard. The whole table will not fit on a single computer screen anymore. Most of the time it will be sufficient to show the first or largest 10 items only. But what if the user of your dashboard wants to scroll down the table and see the rest of the data? Sure, you might teach him to go to the sheet with the data and scroll up and down there. But this is not convenient, not user-friendly, insecure and not the purpose of a dashboard.
The solution
The table on our dashboard doesn’t need much explanation. The only thing that differs from millions of other numeric tables in Excel is the slider scroll-bar between the names of the items and the data. This scroll-bar allows the user of the dashboard to walk through the whole list and see all items without leaving the dash-board. The table is small and leaves a lot of space for tables or charts on the dashboard.
Download the excel sheet containing KPI Dashboard solution to learn this better.
The implementation
- First have our raw data ready in a separate sheet, this is the easy step, you know how to get your data in to one sheet. So skip to next one.
- Next create a 10 row table for the dash board
- Insert a scroll bar form control Go to Menu > view > tool bars and select “forms” to see the forms tool bar. Select the scrollbar control from forms tool bar and draw one on your spreadsheet.
- Assign the scroll bar control to a cell right click on it and select format control option. In the dialog box, go to “control” tab and adjust the values as shown below:
- Finally write OFFSET() formula to display any consecutive 10 values in our scrollable table: OFFSET is used on the dashboard to bring back those 10 lines from the sheet with the raw data that are selected by using the scroll bar. A sample formula is shown here:
=OFFSET(Data!E5,Calculation!$D$5,0)where Data!E5 refers to the column containing the required data, Calculation!$d$5 has the current scroll bar value. That is all, you will have a small table that you can use to see all data using scroll
What next?
Make sure you have downloaded KPI Dashboard solution workbook to learn this better.
Read the next article in this series:Part 2: Add Ability to Sort on Any KPI to the Dashboard
Also, Checkout our Excel Dashboards Page for more examples and resources.
Chandoo’s note: Robert is a regular reader and commenter on this blog. Drop your comments / questions here and I am sure he will answer them 🙂
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
[...] Best Charts to Compare Actual Values with Targets – What is your take? (tags: excel charts) [...]
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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.
[...] best charts to compare actual values with targets — den Status mal anders zeigen, z. B. als Tacho [...]
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.
[…] Best charts to compare actual with target values […]
[…] Best charts to compare actual with target values […]
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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.