Microsoft Fabric Community Conference 2025, March 31 - April 2, Las Vegas, Nevada. Use code FABINSIDER for a $400 discount.
Register nowThe Power BI DataViz World Championships are on! With four chances to enter, you could win a spot in the LIVE Grand Finale in Las Vegas. Show off your skills.
Hi everyone,
I'm working on a DAX measure that performs a linear regression on cost data and then predicts the cost for the end of the current month. I'm using the LINESTX function to calculate the slope and intercept of the regression line. Below is the code I'm working with:
LinestX =
VAR azcost_agg =
SUMMARIZECOLUMNS(
azcost_f[DT_DATE],
azcost_f[ID_SUBSCRIPTION],
FILTER(
azcost_f,
azcost_f[DT_DATE] >= DATE(YEAR(TODAY()), 1, 1)
),
"TotalCost", SUM(azcost_f[N_CostInBillingCurrency])
)
-- Apply the LINESTX function and extract coefficients
VAR cost_prediction =
ADDCOLUMNS(
LINESTX(azcost_agg, [TotalCost], [DT_DATE]),
"Slope", SELECTCOLUMNS(LINESTX(azcost_agg, [TotalCost], [DT_DATE]), "Slope1", [Slope1]),
"Intercept", SELECTCOLUMNS(LINESTX(azcost_agg, [TotalCost], [DT_DATE]), "Intercept", [Intercept])
)
-- Extract specific values
VAR slope = MAXX(cost_prediction, [Slope1])
VAR intercept = MAXX(cost_prediction, [Intercept])
-- Calculate the prediction for the end of the current month
VAR prediction = slope * EOMONTH(TODAY(), 0) + intercept
RETURN
prediction
Any insights or suggestions would be greatly appreciated! Thanks in advance for your help.
@IHOUM , To ensure that the measure respects user-selected filters, you should use ALLSELECTED or REMOVEFILTERS to control the context in which the regression is calculated. This will allow the measure to dynamically recalculate based on the filters applied in the report.
LinestX =
VAR azcost_agg =
SUMMARIZECOLUMNS(
azcost_f[DT_DATE],
azcost_f[ID_SUBSCRIPTION],
"TotalCost", SUM(azcost_f[N_CostInBillingCurrency])
)
-- Apply the LINESTX function and extract coefficients
VAR cost_prediction =
LINESTX(azcost_agg, [TotalCost], [DT_DATE])
-- Extract specific values
VAR slope = MAXX(cost_prediction, [Slope])
VAR intercept = MAXX(cost_prediction, [Intercept])
-- Calculate the prediction for the end of the current month
VAR prediction = slope * EOMONTH(TODAY(), 0) + intercept
RETURN
prediction
Proud to be a Super User! |
|
March 31 - April 2, 2025, in Las Vegas, Nevada. Use code MSCUST for a $150 discount!
Check out the February 2025 Power BI update to learn about new features.
If you love stickers, then you will definitely want to check out our Community Sticker Challenge!
User | Count |
---|---|
84 | |
69 | |
68 | |
40 | |
39 |