Tutorial learning objectives - Week 3

By the end of this tutorial, you should be able to:

• Recognize common patterns in time series data

  • Identify and describe key time series components: trend, seasonal, and cycle.

• Visualize seasonal patterns using appropriate plots

  • Create seasonal plots using gg_season().
  • Create and interpret subseries plots using gg_subseries().
  • Understand that subseries lines—not just the horizontal average—reveal how seasonality changes over time.

• Apply cross-sectional visualisation techniques

  • Visualise and explore relationships between variables.

• Interpret autocorrelation and lag plots

  • Understand and interpret Autocorrelation Function (ACF) plots.
  • Recognise common time series behaviour based on ACF and lag plots.