Conversations in Time: Interactive Visualization to Explore Structured Temporal Data
Earo Wang, Dianne Cook · The R Journal · 2021
Temporal data often has a hierarchical structure, defined by categorical variables describing different levels, such as political regions or sales products.The nesting of categorical variables produces a hierarchical structure.The tsibbletalk package is developed to allow a user to interactively explore temporal data, relative to the nested or crossed structures.It can help to discover differences between category levels, and uncover interesting periodic or aperiodic slices.The package implements a shared tsibble object that allows for linked brushing between coordinated views, and a shiny module that aids in wrapping timelines for seasonal patterns.The tools are demonstrated using two data examples: domestic tourism in Australia and pedestrian traffic in Melbourne.