Microsoft Fabric Community Conference 2025, March 31 - April 2, Las Vegas, Nevada. Use code FABINSIDER for a $400 discount.
Register nowGet inspired! Check out the entries from the Power BI DataViz World Championships preliminary rounds and give kudos to your favorites. View the vizzies.
Hi good day,
Can anyone help me on my calculated column on how to arrived on my desired outcome.
Current Table
Desired Outcome adding calculated column
Thank you
Solved! Go to Solution.
Hi,
Please try something like below (the picture and the attached pbix file).
desired outcome CC =
SUMX (
FILTER (
SUMMARIZECOLUMNS (
data[date],
data[location],
data[trade],
data[week_no],
data[count]
),
data[date] = EARLIER ( data[date] )
&& data[location] = EARLIER ( data[location] )
),
data[count]
)
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
CALCULATE(SUMX(DISTINCT(data[count]), data[count]), ALLEXCEPT(data, data[date], data[location]))
But i suggest to use Remove duplicate in power query
CALCULATE(SUM(data[count]), ALLEXCEPT(data, data[date], data[location]))
Hi,
Please try something like below (the picture and the attached pbix file).
desired outcome CC =
SUMX (
FILTER (
SUMMARIZECOLUMNS (
data[date],
data[location],
data[trade],
data[week_no],
data[count]
),
data[date] = EARLIER ( data[date] )
&& data[location] = EARLIER ( data[location] )
),
data[count]
)
If this post helps, then please consider accepting it as the solution to help other members find it faster, and give a big thumbs up.
CALCULATE(SUMX(DISTINCT(data[count]), data[count]), ALLEXCEPT(data, data[date], data[location]))
But I suggest Remove duplicate in power query
CALCULATE(SUM(data[count]), ALLEXCEPT(data, data[date], data[location]))
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code FABINSIDER for a $400 discount!
Check out the February 2025 Power BI update to learn about new features.
User | Count |
---|---|
89 | |
82 | |
65 | |
51 | |
31 |
User | Count |
---|---|
119 | |
113 | |
71 | |
63 | |
46 |