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
- Exercises 3 is due on Monday 22 September.
- Quiz 8 is due on Thursday 25 September.