Week 9: Exploring data having a space and time context Part I

Main reference

brolgar: An R package to BRowse Over Longitudinal Data Graphically and Analytically in R

What you will learn this week

  • What is temporal data?
  • What is exploratory temporal data analysis?
  • Using temporal objects in R: tsibble
  • Data wrangling: aggregation, creating temporal components, missing values
  • Plotting conventions: connect the dots; aspect ratio, landscape or portrait
  • Calendar plots: arranging daily records into a calendar format
  • Visual inference for temporal data
  • tignostics: cognostics for temporal data
  • Interactive graphics for temporal data
  • Exploring longitudinal data, with the brolgar package

Lecture slides

Tutorial instructions

Assignments