Long time PHD reader and mother of a lovely kid, Michelle, sent me a question in email that provoked me to write this post,
I was wondering how to tabulate large amount of information gathered through surveys. Where I work customers are constantly handed survey sheets in order for us to measure how the service -among other things- is being perceived. Now, to put all that info into a spreadsheet (plus charts) can be really tedious.
So far I manage to get the job done by assigning 1 to 4 values were 1 sucks and 4 is great and so there I go column after column (each column is one individual survey) filling my 1 to 4’s answers. I know there’s an easy version with VBA; problem is that I am a total ignorant in that area. Any suggestions?
Few ideas that would make consolidation easy:
- Make sure all the source files are in the same format: make a template that your colleagues can use to input the data every month. This way you can use 3D references to summarize the data.
- Create a user form so that your audience can enter information in that instead of directly entering it in spreadsheet.
- Find out if the survey or other type data collection can be fed to a database. This way, every month we can import the data using data connections.
- If we actually end up with sheets with different data formats, spend sometime and study the anomalies. Then you can develop a small macro or find-replace routine that would clean the data. [related: clean data using excel]
- Try to save the files as CSV and open them in a regular expression capable editor like Notepad++. Now match and clean up data.
- All else fails, get a strong cup of coffee, put on some music, roll your sleeves and start alt+tabbing.
But more than these ideas, I am interested to know how YOU solve this problem.
I think this is a very common problem. Since I have very little experience in the area of consolidating data from multiple sheets in to one, I couldn’t give her any real advise. So now I am turning to you.
- Do you use any add-ins or macros to consolidate data? What is your experience like, what would you recommend?
- What shortcuts, ideas and cool things you use when working on data from multiple sheets?
- How do you usually clean / normalize the data?
Please discuss.
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.
[...] 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.
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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.