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Hi, I currently have a bar chart.
- X axis: Year-Month
- Y axis: count
- Legend: categories
Where at each x value I have multiple bars, one for each category. I have to divide the count value by the average value of that specific category. I have achieved this with the following DAX command:
The problem is that I need to divide all the values by the average of the last three months. I have tried the following but it does not take into account different groups, it calculates the average of the last 3 months but even though the SUM(programs[count]) filters by category automatically, the average is calculated on all categories:
velocity_variance =
VAR latest_date = 21.06
VAR margin = 3
VAR start_date = CONVERT(latest_date - margin, STRING)
VAR end_date = CONVERT(latest_date , STRING)
VAR velocity = DIVIDE(SUMX(FILTER(programs, AND(programs[data] >= start_date, programs[date] < end_date)), programs[count]), margin)
RETURN
DIVIDE(
SUM(programs[count]),
velocity
)
Based on this query, I can only think of creating a different average measure for each category but I don't want this because categories will change in the future and I have a lot.
The programs table is of the shape:
| Date | Count | Category |
| 20.01 | 34 | A |
| ... | ... | |
| 21.12 | 654 | C |
I hope someone can help me!
(sorry about the code, the editor wouldn't let me add syntax highlighting)
Thanks.
Solved! Go to Solution.
@Anonymous , Not very clear to me.
For Avg of last 3 months you can try like
example
Rolling 3 = CALCULATE(sum(Sales[Sales Amount]),DATESINPERIOD('Date'[Date ],eomonth(MAX('Date'[Date]),0),-3,MONTH))/3
@Anonymous , Not very clear to me.
For Avg of last 3 months you can try like
example
Rolling 3 = CALCULATE(sum(Sales[Sales Amount]),DATESINPERIOD('Date'[Date ],eomonth(MAX('Date'[Date]),0),-3,MONTH))/3
Okey, I think the problem is solved, thanks for your help 🙂
@amitchandak Hi, thanks for your help, sorry for the explanation I will explain it better:
1. I need to create a bar chart where each value is divided by the average
2. I have done this but I need that the average is only of the last 3 months
3. If I try your method it works but it does the average on all categories not each category individually This is what happens, every category has the same average
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