Guided Visual Analysis of Multivariate Time Series

Flor de Luz Palomino Valdivia, Herwin Alayn Huillcen Baca, Ana María Cuadros Valdivia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Time series analysis examines the behavior of data over time. Many papers analyze single variable patterns and trends. However, few proposals have been made for analyzing various variables; this is because when the complexity of the analysis increases, the time series are not easy to understand due to their dynamic and heterogeneous nature. We can resort to Visual Analytics, which transforms complex data into simple graphs, which not only support the exploration of multivariate patterns but also assist the user in understanding found patterns. However, as the set of multivariate time series grows, the analysis methods become increasingly complex, making it difficult to obtain knowledge. In this way, we propose a new approach to visual analysis based on guides and oriented to multivariate time series, which reduces the complexity in the analysis process through guidance and direction guides. An interactive visualization tool was implemented using guides called VisWeb, which integrates the proposed guides with Visual Analysis techniques. For optimal visual analysis of multivariate time series with guides and to demonstrate the reduction of complexity, four questions were posed, designed by the domain expert, referring to the workflow of tasks, task guide, history of the sequence of steps, and limitation of visual space. The results showed that the proposed approach adequately satisfies the questions posed, allowing a reduction in complexity.

Original languageEnglish
Title of host publicationAdvances in Information and Communication - Proceedings of the 2022 Future of Information and Communication Conference, FICC
EditorsKohei Arai
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages16
ISBN (Print)9783030980115
StatePublished - 2022
Externally publishedYes
EventFuture of Information and Communication Conference, FICC 2022 - Virtual, Online
Duration: 3 Mar 20224 Mar 2022

Publication series

NameLecture Notes in Networks and Systems
Volume438 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389


ConferenceFuture of Information and Communication Conference, FICC 2022
CityVirtual, Online

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.


  • Guided
  • Multivariate
  • Time series
  • Time series multivariates
  • Visual analysis


Dive into the research topics of 'Guided Visual Analysis of Multivariate Time Series'. Together they form a unique fingerprint.

Cite this