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Amz_123's avatar
Amz_123
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6 years ago
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"Forecasting with ARIMA" in Table Visual

Hi Community,
Please guide me to forecast monthly Sales(Not as each day, it is as month) for next three months keeping the previous previous four years monthly Sales History. I want the forecast to be displayed in Table visual and find the difference between actual sales and forecast Sales, its accuracy.

I tried Forecasting using Linear Regression in DAX. Dax Forecasted value was same as in  Excel Prediction function. Also, tried prediction using custom visual "Forecasting with ARIMA". The level of accuracy varied at a greater level between Custom Visual and Linear Regression prediction. I found "Forecasting with ARIMA" is great at prediction and closely match the actual sales.

But my problem here is, i am not able to display it in  table visual. I want the algorithm used in "Forecasting with ARIMA" Custom Visual to be displayed in Table Visual. Only on showing in Table visual, it is able to easily and clearly show the Forecast and Actual Sale Difference. The Forecast must change dynamically with Filter Selection.

For reference, i am attaching you the pbix. In this i have tried using Line Chart, Forecast using ARIMA and R-Script. 
https://drive.google.com/file/d/1K5cHVSXGQDsFhl7F9GPEcDWZorUJQ2Wd/view?usp=sharing

Appreciate any answer and guidance.
Thanks in advance,
Amz

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  • v-xuding-msft's avatar
    v-xuding-msft
    6 years ago

    Hi Amz_123 ,

    I found a same thread. And the engineer Icey  posted an answer. Please check if it is what you want.

    library(gridExtra)
library(quantmod)
library(forecast)
library(tseries)
ARIMA_Sales<-ts(dataset$Sales,start=c(1))
Sales_Forecast<-auto.arima(ARIMA_Sales,seasonal=TRUE)
Predicted_Sales<- forecast(Sales_Forecast, h=10)
Predicted_Sales<-data.frame(coredata(Predicted_Sales))
grid.table(Predicted_Sales)
     

    https://community.powerbi.com/t5/Desktop/Power-BI-Forecast/m-p/887659#M425483

     

    Best Regards,

    Xue Ding

    If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

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