In the 40th session of Chandoo.org podcast, Let’s talk about Power Query. I have the pleasure and fortune to catch up with Miguel Escobar (who along with Ken Puls runs PowerQuery.Training website) and talk about this very exciting piece of technology and how it can make our life simpler.

What is in this session?
In this podcast,
- Welcome
- Miguel’s introduction, background and current projects
- What is Power Query
- How to install it
- Sample use cases of Power Query
- What is Power BI
- Resources for learning Power Query – Books & Courses
Listen to this session
Podcast: Play in new window | Download
Subscribe: Apple Podcasts | Spotify | RSS
Click here to download the MP3 file.
Learn more about Power Query
Books:
I recommend 2 books for learning more about Power Query.
- Power Query for Power BI & Excel by Chris Webb
- M is for Data Monkey – A guide to M language in Power Query by Ken Puls & Miguel Escobar (pre-order only, release in November 2015)
Online classes:
Ken & Miguel regularly run an online class teaching hands-on techniques, implementation guidelines and secrets about Power Query. I have signed up for their next class and eagerly looking forward to it. I recommend going for their class if you want to seriously improve your Power Query skills.
Special offer worth $59 for Chandoo.org listeners
As a podcast listener, here is a special offer for you from PowerQuery.Training.
Use the discount code CHANDOO when signing up for their upcoming live session and get 10% off on the course fees.
Click here to signup for their upcoming class.
Note: Ken & Miguel are good friends and partners of Chandoo.org. When you join this course from above link, I receive a small commission. I am recommending this course because I genuinely think their program is suitable & awesome for anyone needing Power Query instruction.
Transcript of this session:
Download this podcast transcript [PDF]
Are you using Power Query? What has been your experience with it?
I have been playing with Power Query for last 18 months. I really like the technology and what it can do for us, analysts. I regularly use it to clean data, do quick transformations and set up models.
What about you? Have you been using Power Query? What is your experience like? Please share your success story in the comments.

















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) [...]
[...] Related: Charting Principles, How to compare actual values with budgets [...]
[...] Excel Charting Alternatives to compare values [...]
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 […]
[…] work laptop I have a favorites folder just dedicated to Excel charts. Its got things like “Best Charts to Compare Actuals vs Targets” and “Best charts to show progress“. I love me some charts […]
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.