Supplemental materials for preprint: time-i-gram: A Grammar for Interactive Visualization of Time-based Data

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Authors: Wolfgang Aigner, Denisse Chacón-Ramírez, Nils Gehlenborg, Marc Streit, Vanessa Stoiber
Cited by: 0

Abstract

The importance of temporal aspects in data analysis and visualization is paramount across various disciplines. Due to the unique characteristics of time, multi-scale temporal analysis, comparisons over different periods, and the examination of variable correlations pose particular challenges for visualization methods. Currently, existing grammars for data visualization cannot model advanced time characteristics adequately. To fill this gap, we present a novel time-based visualization grammar. Our contribution is twofold: Firstly, we introduce a comprehensive grammar designed for time-based visualization, providing a versatile toolkit for a wide range of analytical needs and user preferences. Secondly, we implement this grammar in time-i-gram.

Fields of Study & Subjects

Data Visualization and Analytics Time Series Analysis and Forecasting Advanced Database Systems and Queries

Publication details

Journal / source
OSF Preprints (OSF Preprints)
Publication date
22 June 2026
Document type
Preprint