Register now to learn Fabric in free live sessions led by the best Microsoft experts. From Apr 16 to May 9, in English and Spanish.
Hi All,
Struggling to create a measure or calculated column to get the Cumulative Total per Group per week. The report can only display one week at a time. I have a date table containing week number.
Dataset example is below (w/o the CumulativeValue)
Any help would be appreciated.
Solved! Go to Solution.
Hi @Jarrod
If your tables are connected via DateID, first add a new column to the Actuals Table:
Week Number =
RELATED('Date Table'[WeekNumber])
then use this code to add a new column for Cumulative Value:
Cumulative Value =
CALCULATE (
SUM ( 'Actuals Table'[Value] ),
FILTER (
ALLEXCEPT (
'Actuals Table',
'Actuals Table'[Metric],
'Actuals Table'[Week Number]
),
'Actuals Table'[DateID] <= EARLIER ( 'Actuals Table'[DateID] )
)
)
Output:
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos!!
LinkedIn: www.linkedin.com/in/vahid-dm/
Hi @VahidDM,
Thank you for your response. This works perfectly! I have also added in the Year to the Filter section as it was adding up last year values.
Thanks for your help!
Hi @Jarrod
If your tables are connected via DateID, first add a new column to the Actuals Table:
Week Number =
RELATED('Date Table'[WeekNumber])
then use this code to add a new column for Cumulative Value:
Cumulative Value =
CALCULATE (
SUM ( 'Actuals Table'[Value] ),
FILTER (
ALLEXCEPT (
'Actuals Table',
'Actuals Table'[Metric],
'Actuals Table'[Week Number]
),
'Actuals Table'[DateID] <= EARLIER ( 'Actuals Table'[DateID] )
)
)
Output:
If this post helps, please consider accepting it as the solution to help the other members find it more quickly.
Appreciate your Kudos!!
LinkedIn: www.linkedin.com/in/vahid-dm/
Covering the world! 9:00-10:30 AM Sydney, 4:00-5:30 PM CET (Paris/Berlin), 7:00-8:30 PM Mexico City
Check out the April 2024 Power BI update to learn about new features.
User | Count |
---|---|
112 | |
100 | |
77 | |
74 | |
49 |
User | Count |
---|---|
146 | |
108 | |
106 | |
90 | |
62 |