Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

Enhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.

Reply
samHil
Frequent Visitor

Store status based on conditions

I need to set status to "0" for each store (calculated column preferred)if it satisfy the following conditions

  • Store has Zero sales and corresponding day last year is not Zero sales
  • Store has first 2 hours of opening(6am&7am) has zero sales and corresponding time/day last year is not Zero sales
  • Zero Sales for a continuous 2hr period from 9am to 3pm ( that is out of 9,10,11,12,13,14,15 hours segments check if it had Zero Sales for continuous 2 hours) and corresponding time/day last year is not Zero sales

The column in the data set are Date,Store,Time(6AM-8Pm one hour segment),Sales($) ,

Any help is appreciated.

7 REPLIES 7
Anonymous
Not applicable

on which line and do you have a sample file?

 

Hi @Anonymous,

I think it is the last line If() condition am not sure though

The data file is very big. i have extracted a sample data.

DateHourSalesStore
1/01/2020 0:00647.1BB
1/01/2020 0:00740.9BB
1/01/2020 0:008309.05BB
1/01/2020 0:009285.6BB
1/01/2020 0:0010518.4BB
1/01/2020 0:0011725.45BB
1/01/2020 0:0012485.8BB
1/01/2020 0:0013463.2BB
1/01/2020 0:0014399.65BB
1/01/2020 0:0015342.85BB
1/01/2020 0:0016218.3BB
1/01/2020 0:00171214.95BB
2/01/2020 0:00697.55BB
2/01/2020 0:00778.45BB
2/01/2020 0:008264.96BB
2/01/2020 0:009248.8BB
2/01/2020 0:0010419.85BB
2/01/2020 0:0011647.4BB
2/01/2020 0:0012550.95BB
2/01/2020 0:0013430.75BB
2/01/2020 0:0014253.15BB
2/01/2020 0:0015299.4BB
2/01/2020 0:0016194.5BB
2/01/2020 0:00171148.5BB
3/01/2020 0:00675.4BB
3/01/2020 0:007115.65BB
3/01/2020 0:008218.1BB
3/01/2020 0:009338.1BB
3/01/2020 0:0010365.25BB
3/01/2020 0:0011625.2BB
3/01/2020 0:0012924.65BB
3/01/2020 0:0013530.54BB
3/01/2020 0:0014354.95BB
3/01/2020 0:0015266.05BB
3/01/2020 0:0016218.75BB
3/01/2020 0:00171644.85BB
4/01/2020 0:00664.05BB
4/01/2020 0:007169.05BB
4/01/2020 0:008292.4BB
4/01/2020 0:009310.15BB
4/01/2020 0:0010463.8BB
4/01/2020 0:0011619.3BB
4/01/2020 0:0012823.4BB
4/01/2020 0:0013522.25BB
4/01/2020 0:0014238.85BB
4/01/2020 0:0015325.3BB

 

Thank s in Advance,

Anonymous
Not applicable

I would be able to help lot faster with a sample file, try to creating a file with minimum data and share here

samHil
Frequent Visitor

Hi @Anonymous ,

I trierd that too then it gave the error "The expression refers to multiple columns. Multiple columns cannot be converted to scalar value"

Tanushree_Kapse
Impactful Individual
Impactful Individual

Hi @samHil ,

Use the below dax:
Column=  
Var a= CALCULATE(SUM(Sales))
Var b= CALCULATE(b, SAMEPERIODLASTYEAR(Date))
Var c= CALCULATE(a, FILTER( Table, Table(Time)= "6 am" || Table(Time)= "7 am"))
Var d= CALCULATE(c, SAMEPERIODLASTYEAR(Date))
Var e= CALCULATE(COUNTROWS(FILTER(Table, Table[Sales]= 0)), FILTER(Table, Table(Time)>= 9am || Table(Time)>= 3pm ))
Var f= CALCULATE(e, SAMEPERIODLASTYEAR(Date))

Return IF(AND(AND(AND(AND(AND(a= 0, b >0), c=0),d>0),e>2),f=0), 0, BLANK())


I hope this helps.
Kudos are always appreciated!

Hi @Tanushree_Kapse 

Thank you for the reply. I executed the code and got an error.
Var b= CALCULATE(b, SAMEPERIODLASTYEAR(Date)) The "b" inside the Calculate function is not valid.
I think we cannot declare the variable and use it at the same time.
Thank you,
SAM

 

 

Anonymous
Not applicable

yeah, it must have been a typo, since you are looking at sales last year , replace b with a

 

Var b= CALCULATE(a, SAMEPERIODLASTYEAR(Date)) 

Helpful resources

Announcements
July PBI25 Carousel

Power BI Monthly Update - July 2025

Check out the July 2025 Power BI update to learn about new features.

Join our Fabric User Panel

Join our Fabric User Panel

This is your chance to engage directly with the engineering team behind Fabric and Power BI. Share your experiences and shape the future.

June 2025 community update carousel

Fabric Community Update - June 2025

Find out what's new and trending in the Fabric community.