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Hi folks. I am new to Power BI and I have been struggling for a few weeks trying to figure out how to do the forecasting in Power BI. This is a sample of my data:
This data goes back 6 years with current data for Summer and Fall. Data is collected for types of app=applications received and types of enr=enrollments weekly. I only need the forecast for the summer (1222) and fall (1223) terms. I have data up through 4/3/2022 report date. I need to forecast the summer term through 6/19/2022 (start date of 1/30/2022) and fall term through 9/4/2022 with same start date. I have a current visual that compares the data against years and at same time frame in term. But I want to have the comparison along with the forecast (except the actual values) when there are some actual values.
I have no idea on just how to set up the forecast. Any help is greatly appreciated.
Hi @stealth_66 ,
You might consider adding a Y-Axis Constant Line to Analytics.
Create a measure by customizing the rules and place it in to form a prediction line
Or you can consider creating a calendar table. Create measure through custom rules, use the calendar table's Days Before Start as the Axis, and the Measure as the Value.
Create calculated table.
Table 2 =
CALENDAR(DATE(2022,1,7),DATE(2022,12,31))
Create measure.
Measure 2 =
var _select=SELECTEDVALUE('Table'[Unit Type])
return
SWITCH(
TRUE(),
MAX('Table 2'[qu])<MAX('Table'[qu]),CALCULATE(SUM('Table'[Unit Value]),FILTER(ALL('Table'),'Table'[qu]=MAX('Table 2'[qu])&&'Table'[Unit Type]=_select)) + 1000,
MAX('Table 2'[qu])=MAX('Table'[qu]),CALCULATE(SUM('Table'[Unit Value]),FILTER(ALL('Table'),'Table'[qu]=MAX('Table 2'[qu])&&'Table'[Unit Type]=_select)) ,
CALCULATE(SUM('Table'[Unit Value]),FILTER(ALL('Table'),'Table'[qu]=MAX('Table 2'[qu])&&'Table'[Unit Type]=_select)) + 2000)
Best Regards,
Liu Yang
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Hi Liu,
I am not sure what some of the values are returning. What is [qu]? Here is a copy of my pbix. https://app.powerbi.com/groups/7dd5ba50-5dc0-485b-86fb-e35a83efbc57/reports/d95d3789-7193-43b1-bc6a-...
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