A Literature-based Visualization Task Taxonomy for Gantt Charts

Gantt charts are a widely-used idiom for visualizing temporal discrete event sequence data where dependencies exist between events. They are popular in domains such as manufacturing and computing for their intuitive layout of such data. However, these domains frequently generate data at scales which tax both the visual representation and the ability to render it at interactive speeds. To aid visualization developers who use Gantt charts in these situations, we develop a task taxonomy of low level visualization tasks supported by Gantt charts and connect them to the data queries needed to support them. Our taxonomy is derived through a literature survey of visualizations using Gantt charts over the past 30 years.

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Publication Details

Published
2024-10-13
DOI
https://doi.org/10.1109/vis55277.2024.00055
Citations
3
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
0.75
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article

A Literature-based Visualization Task Taxonomy for Gantt Charts

Katherine E. Isaacs, Sayef Azad Sakin
3 citations
Data Visualization and Analytics
0.75
article

A Literature-based Visualization Task Taxonomy for Gantt Charts

Katherine E. Isaacs, Sayef Azad Sakin
article en
3 citations

Abstract

Gantt charts are a widely-used idiom for visualizing temporal discrete event sequence data where dependencies exist between events. They are popular in domains such as manufacturing and computing for their intuitive layout of such data. However, these domains frequently generate data at scales which tax both the visual representation and the ability to render it at interactive speeds. To aid visualization developers who use Gantt charts in these situations, we develop a task taxonomy of low level visualization tasks supported by Gantt charts and connect them to the data queries needed to support them. Our taxonomy is derived through a literature survey of visualizations using Gantt charts over the past 30 years.

University of Utah (US)
Openalex Percentile: Top 26%
Data Visualization and Analytics
0.75
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