Regressions are a great starting point for analyzing continuous data, however, there are many other techniques one can employ when analyzing time-series data specifically. While regressions can be used for any continuous data mapping, time-series analysis is specifically geared toward continuous data that evolves over time.
There are many examples of time-series data, for instance:
- Server load over time
- Stock prices over time
- User activity over time
- Weather patterns over time
The objective when analyzing time-series data is similar to the objective in analyzing continuous data with regressions. We wish to identify and describe the various factors that influence the changing value over time. This section will describe a number of techniques above and beyond regressions that you can use to analyze time-series data.
In this section, we will...
