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
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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 $59 for Chandoo.org listeners
As a podcast listener, here is a special offer for you from PowerQuery.Training.
Use the discount code CHANDOO when signing up for their upcoming live session and get 10% off on the course fees.
Click here to signup for their upcoming class.
Note: Ken & Miguel are good friends and partners of Chandoo.org. When you join this course from above link, I receive a small commission. I am recommending this course because I genuinely think their program is suitable & awesome for anyone needing Power Query instruction.
Transcript of this session:
Download this podcast transcript [PDF]
Are you using Power Query? What has been your experience with it?
I have been playing with Power Query for last 18 months. I really like the technology and what it can do for us, analysts. I regularly use it to clean data, do quick transformations and set up models.
What about you? Have you been using Power Query? What is your experience like? Please share your success story in the comments.
11 Responses to “Who is the most consistent seller? [BYOD]”
The Date column in the sample file is Text not Dates
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Great Chandoo. Keep it up, Looking forward more from BYOD..
Thanks
With Excel 2013 the pivot table could be connected to the data model which provides a distinct count.
This will do for invoice count
=COUNTIF(F:F,H12)
Instead of
=COUNTIFS(sales[SELLER],$H12)
Excellent document. How did you make the last graphic? Witch app. Thanks for answer.
Can someone tell me what =countif(sales[date],sales[date]) is counting? The value is 19. Its found in the =SUMPRODUCT(IF(sales[SELLER]=H12,1/COUNTIFS(sales[SELLER],H12,sales[date],sales[date]),0))
Hi Chris,
=countif(sales [date],sales[date]) function is counting the unique dates in the table.
Vândalo
Excellent document!
Can you explain more about the calculation on Weighted consistency? More specific the small number is 0,00001 ?
How come the number should be smaller if there is more sellers?
Hi,
Not understood this formula: {=SUMPRODUCT(IF(sales[SELLER]=H12,1/COUNTIFS(sales[SELLER],H12,sales[date],sales[date]),0))}
Please explain.
Thanks.