Power BI is turning 10, and we’re marking the occasion with a special community challenge. Use your creativity to tell a story, uncover trends, or highlight something unexpected.
Get startedJoin us for an expert-led overview of the tools and concepts you'll need to become a Certified Power BI Data Analyst and pass exam PL-300. Register now.
Hi,
I have an excel spreadsheet as my dataset, that looks like this:
DateTime | Type | Count |
1/12/2021 10:00:00 am | NS | 597 |
1/12/2021 10:00:00 am | Su | 494 |
1/12/2021 11:00:00 am | NS | 658 |
1/12/2021 11:00:00 am | Su | 553 |
And I want each date to have its own row, and each type to have its own column like this:
DateTime | NS | Su |
1/12/2021 10:00:00 am | 597 | 494 |
1/12/2021 11:00:00 am | 658 | 553 |
How would I do this with power query? Thanks in advance
Solved! Go to Solution.
@Anonymous , Pivot the last two column in power query
https://radacad.com/pivot-and-unpivot-with-power-bi
Or create measure like these and use in table visual with date
Ns = countx(filter(Table, Table[Type] ="Ns"), [Count])
Su= countx(filter(Table, Table[Type] ="Su"), [Count])
Hi,
This screenshot should say it all
@Anonymous , Pivot the last two column in power query
https://radacad.com/pivot-and-unpivot-with-power-bi
Or create measure like these and use in table visual with date
Ns = countx(filter(Table, Table[Type] ="Ns"), [Count])
Su= countx(filter(Table, Table[Type] ="Su"), [Count])
This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.
Check out the June 2025 Power BI update to learn about new features.
User | Count |
---|---|
72 | |
71 | |
57 | |
38 | |
36 |
User | Count |
---|---|
82 | |
67 | |
61 | |
46 | |
45 |