2. BigQuery ML を用いた時系列データの解析 (ARIMA model)

This document discusses using ARIMA models with BigQuery ML to analyze time series data. It provides an overview of time series data and ARIMA models, including how ARIMA models incorporate AR and MA components as well as differencing. It also demonstrates how to create an ARIMA prediction model and visualize results using BigQuery ML and Google Data Studio. The document concludes that ARIMA models in BigQuery ML can automatically select the optimal order for time series forecasting and that multi-variable time series are not yet supported.