Future predictions of sales
A new dataset called salesData2_4 is loaded in the working space. It contains information on the customers for the months two to four. We want to use this information in order to predict the sales for month 5.
This exercise is part of the course
Machine Learning for Marketing Analytics in R
Exercise instructions
- Use the
summary()command in order to get an overview of the new dataset. - Use the model
salesModel2and the new datasetsalesData2_4in thepredict()function in order to predict the sales for month 5. Store the predictions in a vector calledpredSales5. - Calculate the mean of the expected sales. Make sure to remove missing values.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# getting an overview of new data
__(salesData2_4)
# predicting sales
predSales5 <- predict(__, newdata = __)
# calculating mean of future sales
mean(__)