Forecasting with the Time Series node (SPSS Modeler)

Forecasting with the Time Series node

This example uses the flow Forecasting Bandwidth Utilization, available in the example project you imported previously. The data file is broadband_1.csv.

In SPSS Modeler, you can produce multiple time series models in a single operation. The broadband_1.csv data file has monthly usage data for each of 85 local markets. For the purposes of this example, only the first five series will be used; a separate model will be created for each of these five series, plus a total.

The file also includes a date field that indicates the month and year for each record. This field will be used to label records. The date field reads into SPSS Modeler as a string, but to use the field in SPSS Modeler you will convert the storage type to numeric Date format using a Filler node.

Figure 1. Example flow to show Time Series modeling

The Time Series node requires that each series be in a separate column, with a row for each interval. Watsonx.ai Studio provides methods for transforming data to match this format if necessary.

Figure 2. Monthly subscription data for broadband local markets