Fabric is Generally Available. Browse Fabric Presentations. Work towards your Fabric certification with the Cloud Skills Challenge.
I am trying to create a rolling 4 week average conversion rate. The column LTA is the conversion rate and equals (Appts/Leads). RIght now, LTA is week by week. I need to create a new column that is a 4 rolling conversion rate.
Here is the data.
So if we started at the bottom, the RollingAvg for May 29 would be (19+19+32+38)/(25+45+60+82) = 50.943 %
For the week may 22, the numbers would roll back one week, so itd be (19+32+38+0)/(45+60+82+117) = 29.276 %
Help would be appricated.
Solved! Go to Solution.
@Jacob1832 , Try a new column like
new column =
var _date = [Week]
return
divide(sumx(filter(Table, [Week] > _date -28 && [Week]<= _date ),[Appts]),sumx(filter(Table, [Week] > _date -28 && [Week]<= _date ),[leads]))
@Jacob1832 , Try a new column like
new column =
var _date = [Week]
return
divide(sumx(filter(Table, [Week] > _date -28 && [Week]<= _date ),[Appts]),sumx(filter(Table, [Week] > _date -28 && [Week]<= _date ),[leads]))
How would i adjust the calculation if i had a single number (Actuals) and a grouping variable (state)?
The rolling average would still have the same numerator, the denominator would now be 4 since its a 4 week rolling average and not a conversion rate. How would I incorporate the group of state?
Check out the November 2023 Power BI update to learn about new features.
Read the latest Fabric Community announcements, including updates on Power BI, Synapse, Data Factory and Data Activator.