DataGarden: Formalizing Personal Sketches into Structured Visualization Templates

Sketching is a common practice among visualization designers and serves an approachable entry to data visualization for non-experts. However, moving from a sketch to a full fledged data visualization often requires throwing away the original sketch and recreating it from scratch. Our goal is to formalize these sketches, enabling them to support iteration and systematic data mapping through a visual-first templating workflow. In this workflow, authors sketch a representative visualization and structure it into an expressive template for an envisioned or partial dataset, capturing implicit style as well as explicit data mappings. To demonstrate our proposed workflow, we implement DataGarden and evaluate it through a reproduction and a freeform study. We investigate how DataGarden supports personal expression and delve into the variety of visualizations that authors can produce with it, identifying cases that demonstrate the limitations of our approach and discussing avenues for future work.

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Publication Details

Journal
IEEE Transactions on Visualization and Computer Graphics
Published
2024-09-10
DOI
https://doi.org/10.1109/tvcg.2024.3456336
Citations
9
Primary Topic
Data Visualization and Analytics
Type
article
Field-Weighted Citation Impact
2.24

Funders

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article

DataGarden: Formalizing Personal Sketches into Structured Visualization Templates

Anna Offenwanger, Theophanis Tsandilas, Fanny Chevalier
9 citations
IEEE Transactions on Visualization and Computer Graphics
Data Visualization and Analytics
2.24
article

DataGarden: Formalizing Personal Sketches into Structured Visualization Templates

Anna Offenwanger, Theophanis Tsandilas, Fanny Chevalier
article en
9 citations

Abstract

Sketching is a common practice among visualization designers and serves an approachable entry to data visualization for non-experts. However, moving from a sketch to a full fledged data visualization often requires throwing away the original sketch and recreating it from scratch. Our goal is to formalize these sketches, enabling them to support iteration and systematic data mapping through a visual-first templating workflow. In this workflow, authors sketch a representative visualization and structure it into an expressive template for an envisioned or partial dataset, capturing implicit style as well as explicit data mappings. To demonstrate our proposed workflow, we implement DataGarden and evaluate it through a reproduction and a freeform study. We investigate how DataGarden supports personal expression and delve into the variety of visualizations that authors can produce with it, identifying cases that demonstrate the limitations of our approach and discussing avenues for future work.

IEEE Transactions on Visualization and Computer GraphicsVol. 31(1)
University of Toronto (CA), Université Paris-Saclay (FR)
Agence Nationale de la Recherche, University of Toronto, Centre National de la Recherche Scientifique, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 11%
Data Visualization and Analytics
2.24
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