Don't miss your chance to take the Fabric Data Engineer (DP-700) exam on us!
Learn moreWe've captured the moments from FabCon & SQLCon that everyone is talking about, and we are bringing them to the community, live and on-demand. Starts on April 14th. Register now
Hi,
I'm having difficulties in converting week and year for week 53 (Dec 30 and 31, 2018) to be week 01 for 2019. Please note I am using storage mode as DirectQuery.
Currently what I have is Plan Date which contains the dates only.
I used this DAX formula to derive the week number: Week = CONCATENATE("",Right(CONCATENATE("0",WEEKNUM([Plan Date])),2))
I used this DAX formula to derive the year number: Year = CONCATENATE("",Right(CONCATENATE("0",YEAR([Plan Date])),4))
After getting week and year number, I then combine them using DAX formula:
Year/Week = CONCATENATE([Year],CONCATENATE("/",[Week]))
I don't want to use an IF statement wherein "2018/53" will be "2019/01" since I need to manually change it every year. Is there any convenient way to convert year x/week 53?
Appreciate any help you can provide me.
Thanks and best regards,
Mark
Solved! Go to Solution.
You can change your calculated columns for week and year slightly, and get the desired results without having to change it every year.
Hi there
In my case, when I try the formula:
Weeknum = CONCATENATE("",Right(CONCATENATE("0",IF(WEEKNUM(Sheet1[SampleDate]) > 52, 1, WEEKNUM(Sheet1[SampleDate]))),2))
it says that there are too many arguments in function Concetenate... The max. is 2.
Can you help me with that?
BR,
Anna
Hi, Could you please share the formula (copy-paste) from your report. There might be an issue with placement of commas (,) in the formula.
You can change your calculated columns for week and year slightly, and get the desired results without having to change it every year.
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 |
|---|---|
| 53 | |
| 35 | |
| 31 | |
| 19 | |
| 17 |
| User | Count |
|---|---|
| 75 | |
| 72 | |
| 39 | |
| 35 | |
| 23 |