Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Hello,
I need help with Rank and Pivot data using filters. I've attached the sample data and the result.
Columns - A to E has actual data; H and I are derived columns based on the criteria
I was able to achieve the results using
1. Switch case in Dax to derive "Status" column
2. Using Calculated table to group and get the select order based on Min value
3. Display the data using Matrix
Issue here is with matrix, i am unable to add custom tool tip to rows and not sort based on the column data. If i can present the same via a table. I will be able to use custom tool tips and also sort the columns
I tried to use another calculated table with summarize to transform the data but it is taking a while with 500k+ rows
Thank you in advance for your help
Hi @Anonymous ,
Can you make a copy of your sample data in tabular form? Your example data is too much to build.
Best regards,
Lionel Chen
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Greg, Thank you for sharing the article
@v-lionel-msft - Below is sample data. "status" and "select per order" fields are derived based on the criteria shared above
County | Client ID | Date | Group | Hrs | Status | Select per order | ||
AB | 1 | 3/22/2019 | At Store | 2 | Visit | |||
AB | 1 | 3/22/2019 | Online | 6 | O FT | O FT | ||
AB | 10 | 3/22/2019 | Online | 8 | O FT | O FT | ||
AB | 11 | 3/22/2019 | At Store | 8 | FT | FT | ||
AB | 13 | 3/22/2019 | Online | 4 | O PT | |||
AB | 13 | 3/22/2019 | At Store | 5 | FT | FT | ||
AB | 14 | 3/22/2019 | At Store | 12 | Other | Other | ||
CD | 2 | 3/22/2019 | Online | 4 | O PT | O PT | ||
CD | 3 | 3/22/2019 | At Store | 4 | Visit | Visit | ||
CD | 4 | 3/22/2019 | At Store | 6 | FT | |||
CD | 4 | 3/22/2019 | Online | 6 | O FT | OFT | ||
IJ | 5 | 3/22/2019 | At Store | 11 | FT | FT | ||
KL | 1 | 3/22/2019 | Online | 8 | O FT | O FT | ||
AB | 1 | 3/23/2019 | Online | 6 | O FT | O FT | ||
AB | 10 | 3/23/2019 | At Store | 3 | Visit | Visit | ||
AB | 11 | 3/23/2019 | At Store | 4 | FT | FT | ||
AB | 11 | 3/23/2019 | Online | 5 | O PT | |||
AB | 13 | 3/23/2019 | Online | 6 | O FT | O FT | ||
AB | 14 | 3/23/2019 | Online | 7 | O FT | O FT | ||
AB | 14 | 3/23/2019 | At Store | 3 | visit | |||
AB | 16 | 3/23/2019 | At Store | 9 | FT | FT | ||
CD | 2 | 3/23/2019 | Online | 2 | O PT | O PT | ||
IJ | 30 | 3/23/2019 | At Store | 8 | FT | FT | ||
IJ | 31 | 3/23/2019 | Online | 6 | O FT | O FT | ||
IJ | 31 | 3/23/2019 | At Store | 4 | FT | |||
IJ | 32 | 3/23/2019 | Online | 5 | O PT | O PT | ||
IJ | 33 | 3/23/2019 | At Store | 11 | FT | FT |
Well, you would have to create a measure for each of the columns in your desired output. Other than that, tough to say. Please see this post regarding How to Get Your Question Answered Quickly: https://community.powerbi.com/t5/Community-Blog/How-to-Get-Your-Question-Answered-Quickly/ba-p/38490
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
110 | |
94 | |
82 | |
66 | |
58 |
User | Count |
---|---|
151 | |
121 | |
104 | |
87 | |
67 |