The R Journal: accepted article

This article will be copy edited and may be changed before publication.

Conversations in time: interactive visualisation to explore structured temporal data PDF download
Earo Wang and Dianne Cook

Abstract Temporal data often has a hierarchical structure, defined by categorical variables describing different levels, such as political regions or sales products. 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 time lines for seasonal patterns. The tools are demonstrated using two data examples: domestic tourism in Australia and pedestrian traffic in Melbourne.

Received: 2020-10-30; online 2021-06-08, supplementary material, (8.4 Kb)
CRAN packages: tsibbletalk, tsibble, tsibbledata, tidyverse, feasts, fable, shiny, htmlwidgets, plotly, rbokeh, leaflet, crosstalk, grDevices, loon, ggplot2
CRAN Task Views implied by cited CRAN packages: TimeSeries, TeachingStatistics, WebTechnologies, Graphics, MissingData, Phylogenetics, Spatial

CC BY 4.0
This article and supplementary materials are licensed under a Creative Commons Attribution 4.0 International license.

  author = {Earo Wang and Dianne Cook},
  title = {{Conversations in time: interactive visualisation to explore
          structured temporal data}},
  year = {2021},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2021-050},
  url = {}