Don't miss your chance to take the Fabric Data Engineer (DP-600) exam for FREE! Find out how by attending the DP-600 session on April 23rd (pacific time), live or on-demand.
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
My data source is creating three separate columns, for Year, Month, Day, each recognized as a whole number.
I am looking for a simple statement that allows me to concatenate these elements and format as a date.
Appreciate all of the help from the PBI community.
Thanks!
Solved! Go to Solution.
One solution could be combining them together in Power Query and then transforming the column to type date.
If you go to advanced editor in query editor and add these lines:
CombinedYMD = Table.CombineColumns(Table.TransformColumnTypes(#"Previous Step", {{"month", type text}, {"day", type text}, {"year", type text}}, "en-US"),{"month", "day", "year"},Combiner.CombineTextByDelimiter("/", QuoteStyle.None),"Date"),
CombinedYMDtoDate = Table.TransformColumnTypes(CombinedYMD, {{"Date", type date}})
in
CombinedYMDtoDateReplacing "#"Previous Step"" with the previous step's name in your query and month/day/year by your column names, it should work.
This looks like heavy lifting for a newbie.
Any other suggestions for a simple DAX statement?
the simple statement could be DATE function:
What if the month columns are month names, not number?? (January, February, March...)
I cannot get it to recognize DateFormat. Any suggestions?
Hi,
Share some data and show the expected result.
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 |
|---|---|
| 48 | |
| 43 | |
| 39 | |
| 19 | |
| 17 |
| User | Count |
|---|---|
| 68 | |
| 63 | |
| 31 | |
| 30 | |
| 23 |