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Hello Power BI Community,
I am encountering an issue with calculating the cumulative sales for the same weekday last year. Here are the key details of the problem:
Same Weekday Last Year:
Data Structure:
Objective:
Current Issue:
Here is the current DAX measure that I am using:
Cumulative Sales for Same Weekday Last Year (in Millions) =
VAR MaxCurrentDate = MAX('Calendar_Table'[Date])
VAR PreviousDate = CALCULATE(
MAX('Previous_Date_Table'[SameWeekdayLastYearDate]),
'Previous_Date_Table'[SameWeekdayLastYearDate] <= MaxCurrentDate
)
RETURN
CALCULATE(
SUMX(
FILTER(
ALL('Previous_Date_Table'),
'Previous_Date_Table'[SameWeekdayLastYearDate] <= PreviousDate
),
CALCULATE(
SUM('Purchase_Data'[RegisterPrice]),
TREATAS(
VALUES('Previous_Date_Table'[SameWeekdayLastYearDate]),
'Calendar_Table'[Date]
)
)
)
) / 1000000MaxCurrentDate:
PreviousDate:
SUMX and FILTER:
Despite this, the measure returns blank values.
Could you please help me identify what I might be doing wrong and how to correct this measure?
Thank you in advance for your assistance.
Solved! Go to Solution.
Hi @RYOH_0130 ,
I did simple samples, mainly for the same weekday screenings last year for the study and you can check the results below:
LastYearSameWeekDay = var _t = ADDCOLUMNS('Table',"a",SUMX(FILTER(ALL('Table'),YEAR([Date])=YEAR(EARLIER([Date]))-1&&MONTH([Date])=MONTH(EARLIER([Date]))&&DAY([Date])>=DAY(EARLIER([Date]))-7&&WEEKDAY([Date])=WEEKDAY(EARLIER([Date]))),[Value]))
RETURN SUMX(_t,[a])
An attachment for your reference. Hope it helps!
Best regards,
Community Support Team_ Scott Chang
If this post helps then please consider Accept it as the solution to help the other members find it more quickly.
Hi @RYOH_0130 ,
Not sure about your date table, please provide sample data that maps your data model
Best regards,
Community Support Team_ Scott Chang
Dear @Anonymous
Thank you for your response.
Please find below the sample data for the data map for your review.
Best regads,
Ryo
| Previous Data Table | |||
| Date | Day | SameWeekday Last Year's Date | Last Year's Day |
| 3-Jan-20 | Fri | 4-Jan-19 | Fri |
| 10-Jan-20 | Fri | 11-Jan-19 | Fri |
| 17-Jan-20 | Fri | 18-Jan-19 | Fri |
| 24-Jan-20 | Fri | 25-Jan-19 | Fri |
| 31-Jan-20 | Fri | 1-Feb-19 | Fri |
| 1-Jan-21 | Fri | 3-Jan-20 | Fri |
| 8-Jan-21 | Fri | 10-Jan-20 | Fri |
| Calender Table | |||
| Date, | Year_yyyy, | Month_Value, | Day_Value, |
| 1-May-17 | 2017 | 5 | 1 |
| 2-May-17 | 2017 | 5 | 2 |
| 3-May-17 | 2017 | 5 | 3 |
| 4-May-17 | 2017 | 5 | 4 |
| 5-May-17 | 2017 | 5 | 5 |
| 6-May-17 | 2017 | 5 | 6 |
| 7-May-17 | 2017 | 5 | 7 |
| GGCA_Purchase_data | |||
| ReceptionDate | RegisterPrice | RegisterPriceTaxIn | |
| 1-May-17 | 1000 | 1100 | |
| 2-May-17 | 1500 | 1650 | |
| 3-May-17 | 2000 | 2200 | |
| 4-May-17 | 1000 | 1100 | |
| 5-May-17 | 1200 | 1320 |
Hi @RYOH_0130 ,
I did simple samples, mainly for the same weekday screenings last year for the study and you can check the results below:
LastYearSameWeekDay = var _t = ADDCOLUMNS('Table',"a",SUMX(FILTER(ALL('Table'),YEAR([Date])=YEAR(EARLIER([Date]))-1&&MONTH([Date])=MONTH(EARLIER([Date]))&&DAY([Date])>=DAY(EARLIER([Date]))-7&&WEEKDAY([Date])=WEEKDAY(EARLIER([Date]))),[Value]))
RETURN SUMX(_t,[a])
An attachment for your reference. Hope it helps!
Best regards,
Community Support Team_ Scott Chang
If this post helps then please consider Accept it as the solution to help the other members find it more quickly.
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
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