Microsoft is giving away 50,000 FREE Microsoft Certification exam vouchers!
Enter the sweepstakes now!Preparing for a certification exam? Ask exam experts all your questions on May 15th. Register now.
Hello,
I am trying to show the trend of a test result of a manufactured product over time. I am using the Line Chart, and my problem is that I want to use Categorical Type on the X-axis, not Continuous Type. It may be days or weeks before the same product is run, and Continuous interpolates in between. Categorical will show each test result with a timestamp, but for hundreds of data points this can cause quite a long scroll bar. I want it condensed so I can see months of data and analyze the trend.
The data is being stored as a Quantity (53.5), and Date/Time (2017-12-11 15:54:06.957).
Is this possible?
Thanks, Nate
When using "Continuous " type, it will always populate a full calendar dates on X-axis. So the line may not appear correctly. And for "Categorical" type, it will show all entries on X-axis.
For your requirement, I suggest you manually create a Calendar Hierarchy like "Year->Quarter->Month->Day". You may add some calculated columns for each date parts like: Year, YearQuarter, YearMonth, Date.
Then you just need to put entire hierarchy into Line chart, and you can drill to any level you want.
Regards,
Hello,
Thank you for the response. I am not looking to drill down into a time heirarchy. I would like to show all entries on the X-axis, but responsive to window size of the chart. I pulled the data into Excel, and was able to achieve my result.
When I resize the Excel chart, it will still show me all the data points. Perhaps not as granular, but I am only interested in the trend. In Power BI, the chart does not "condense" the results. It adds a scroll bar and I must scroll to see all results.
Does this help?
Thanks,
- Nate
Check out the April 2025 Power BI update to learn about new features.
Explore and share Fabric Notebooks to boost Power BI insights in the new community notebooks gallery.
User | Count |
---|---|
76 | |
74 | |
70 | |
47 | |
41 |
User | Count |
---|---|
64 | |
41 | |
32 | |
30 | |
28 |