Forum Discussion
13 Week Rolling Average Graph with Daily %
Just noticed the table was formatted slightly off. Here you can see more clearly.
Hi,
Try this
- Create a Calendar Table by writing the following formula in Modelling > New Table =CALENDAR(MIN(Data[Date]),MAX(Data[Date]))
- Create a relationship from the Date column of the Data Table to the Date column of the Calendar Table
- Drag Date from the Calendar Table in your visual
- Drag Thing from the Data Table into the visual
- Write these measure
Total = SUM(Data[Value])
Average over the past 30 days = CALCULATE([Total],DATESBETWEEN(Calendar[Date],MIN(Calendar[Date])-30,MIN(Calendar[Date])))
Hope this helps.
- aortuno8 years agoFrequent Visitor
Hey thanks for you answer, I tried that DAX function and adjusted slightly because it would give me an error
Average over the past 30 days = CALCULATE(Total = SUM(Data[Value]),DATESBETWEEN(Calendar[Date],MIN(Calendar[Date])-30,MIN(Calendar[Date])))
It worked but the numbers that it gave me are much lower than what the averages actually should be.
Thanks again- Ashish_Mathur8 years agoSuper User
Hi,
I will need to see your file to know the error you are committing. Also, please meniton there what the correct answer should be.
- aortuno8 years agoFrequent Visitor
How can I send the file here?
Below is the table and the column on the right shows the values that I'd like to get automatically.Please note that for this example, the rolling average is calculated based on the last 3 days (not 30), that's why it starts showing on the fourth day. (This is manually calculated)
The DAX code that I've used is this:
AVERAGE_CALCULATED = CALCULATE(SUM(Sheet1[VALUE])=SUM(Sheet1[VALUE]),DATESBETWEEN('Calendar'[Date],MIN('Calendar'[Date])-3,MIN('Calendar'[Date])))And it displays only 1's on every row.
Thanks againDATE TYPE VALUE AVERAGE 4/1/2018 A 7 4/1/2018 B 6 4/1/2018 C 3 4/2/2018 A 8 4/2/2018 B 7 4/2/2018 C 9 4/3/2018 A 6 4/3/2018 B 5 4/3/2018 C 5 4/4/2018 A 6 7.0 4/4/2018 B 8 6.0 4/4/2018 C 7 5.7 4/5/2018 A 5 6.7 4/5/2018 B 4 6.7 4/5/2018 C 5 7.0 4/6/2018 A 9 5.7 4/6/2018 B 8 5.7 4/6/2018 C 7 5.7 4/7/2018 A 6 6.7 4/7/2018 B 3 6.7 4/7/2018 C 5 6.3