March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount! Early bird discount ends December 31.
Register NowBe one of the first to start using Fabric Databases. View on-demand sessions with database experts and the Microsoft product team to learn just how easy it is to get started. Watch now
Hi,
I have a set of data with a a column of meeting dates each for a 'sale', I would like to make a chart visualizing this sale growing over time. (cumulative sum??)
Y axis total sale (count of the sale=, X axis meeting date
Please find a screenshot of my dataset
Thanks
Kristoffer
Solved! Go to Solution.
Try the "Running Total" Quick Measure and total it over date.
Hi @Kristofferaabo,
You could create the measure below to get the cumulative sum of the sales.
total = CALCULATE ( SUM ( table5[count of sales] ), FILTER ( ALL ( table5 ), 'table5'[Meeting date] <= MAX ( 'table5'[Meeting date] ) ) )
Then you will get your excepted line chart.
Best Regards,
Cherry
Hi @Kristofferaabo,
You could create the measure below to get the cumulative sum of the sales.
total = CALCULATE ( SUM ( table5[count of sales] ), FILTER ( ALL ( table5 ), 'table5'[Meeting date] <= MAX ( 'table5'[Meeting date] ) ) )
Then you will get your excepted line chart.
Best Regards,
Cherry
Would it be possible to add a grouping condition to that. Say I have a column category, then I would like the cummulative sum to be at a category level.
Try the "Running Total" Quick Measure and total it over date.
Really neat solution, thanks! 😎
Thanks a lot!! This was an easy solution that saved me a lot of time.
Thanks for the quick solution 🙂
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount!
Your insights matter. That’s why we created a quick survey to learn about your experience finding answers to technical questions.
Arun Ulag shares exciting details about the Microsoft Fabric Conference 2025, which will be held in Las Vegas, NV.
User | Count |
---|---|
134 | |
91 | |
90 | |
64 | |
58 |
User | Count |
---|---|
201 | |
137 | |
107 | |
72 | |
68 |