Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreNext up in the FabCon + SQLCon recap series: The roadmap for Microsoft SQL and Maximizing Developer experiences in Fabric. All sessions are available on-demand after the live show. Register now
Hello i have hourly data where each hour (1-24) of a day is stored in a separate column of the table.
How do I display this in a visual or table (example shown below) to show a total hourly by rate class (rate class is in another dimension)? So I want to see January 4, 2020, hours 1 thru 24 and their totals by hour per rate class. Is this possible with this table structure?
| Rate Class 1 | Rate Class 2 | |||
| Jan 4, 2020 | Hour 1 | 300 | 150 | |
| Jan 4, 2020 | Hour 2 | 500 | 600 |
Solved! Go to Solution.
Hi @kargus ,
According to your description, I create a sample. Here are two tables.
Here's my solution.
1.Select all hours at the same time(Ctrl +select), then click Unpivot Columns tab under the Transform ribbon.
Get the table below.
2.Create relationship between the two tables by the column Service Rate ID.
3.In the matrix visual, put Read Date and Hour Name in rows, Rate Class in columna and Value in values, get the expected result.
I attach my sample below for reference.
Best Regards,
Community Support Team _ kalyj
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi @kargus ,
According to your description, I create a sample. Here are two tables.
Here's my solution.
1.Select all hours at the same time(Ctrl +select), then click Unpivot Columns tab under the Transform ribbon.
Get the table below.
2.Create relationship between the two tables by the column Service Rate ID.
3.In the matrix visual, put Read Date and Hour Name in rows, Rate Class in columna and Value in values, get the expected result.
I attach my sample below for reference.
Best Regards,
Community Support Team _ kalyj
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
@kargus unpivoting the data is the first step
If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.
A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
| User | Count |
|---|---|
| 50 | |
| 44 | |
| 42 | |
| 19 | |
| 19 |
| User | Count |
|---|---|
| 69 | |
| 68 | |
| 32 | |
| 32 | |
| 32 |