DataInk

Xia, Haijun; Riche, Nathalie Henry; Chevalier, Fanny; Araújo, Bruno; Wigdor, Daniel

doi:10.1145/3173574.3173797

Cited by 60 publications

(38 citation statements)

References 45 publications

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“…Finally, another class of interactive systems can be described as visual builders, and our three systems are members of this class, along with systems such as iVisDesigner [33], iVolver [26], InfoNice [45], Data-Driven Guides [15], DataInk [50], and VisComposer [23]. Though their interfaces tend to be more complicated than those of template-and shelf-based systems, visual builders provide authors with fine control in specifying marks, glyphs, coordinate systems, and layouts.…”

Section: Interactive Systemsmentioning

confidence: 99%

Critical Reflections on Visualization Authoring Systems

Satyanarayan

Lee

Ren

et al. 2019

IEEE Trans. Visual. Comput. Graphics

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An emerging generation of visualization authoring systems support expressive information visualization without textual programming. As they vary in their visualization models, system architectures, and user interfaces, it is challenging to directly compare these systems using traditional evaluative methods. Recognizing the value of contextualizing our decisions in the broader design space, we present critical reflections on three systems we developed -Lyra, Data Illustrator, and Charticulator. This paper surfaces knowledge that would have been daunting within the constituent papers of these three systems. We compare and contrast their (previously unmentioned) limitations and trade-offs between expressivity and learnability. We also reflect on common assumptions that we made during the development of our systems, thereby informing future research directions in visualization authoring systems.

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Section: Interactive Systemsmentioning

confidence: 99%

Critical Reflections on Visualization Authoring Systems

Satyanarayan

Lee

Ren

et al. 2019

IEEE Trans. Visual. Comput. Graphics

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“…Finally, node shape can be chosen among a set of basic geometries: circle, square, triangle. It can also be sketched, in the spirit of [25,54] (Figures 5-b & 7), or replaced by a bitmap (Figure 5-a).…”

Section: Creating Visual Mappingsmentioning

confidence: 99%

Expressive Authoring of Node-Link Diagrams With Graphies

Romat

Appert²,

Pietriga³

2021

IEEE Trans. Visual. Comput. Graphics

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Expressive design environments enable visualization designers not only to specify chart types and visual mappings, but also to customize individual graphical marks, as they would in a vector graphics drawing tool. Prior work has mainly investigated how to support the expressive design of a wide range of charts generated from tabular data: bar charts, scatterplots, maps, etc. We focus here on an expressive design environment for node-link diagrams generated from multivariate networks. Such data structures raise specific challenges and opportunities in terms of visual design and interactive authoring. We discuss those specificities and describe the user-centered design process that led to Graphies, a prototype environment for expressive node-link diagram authoring. We then report on a study in which participants successfully reproduced several expressive designs, and created their own designs as well.

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“…However, the needs of such visualization authors are not well aligned with the goals of traditional visualization tools that focus on exploration and analysis [21,51]. Advanced visualization systems like Tableau [4] support traditional graphs and charts, such as scatterplots and bar charts, but lack flexibility when it comes to crafting creative, custom-made visualizations.…”

Section: Giorgiamentioning

confidence: 99%

DataQuilt: Extracting Visual Elements from Images to Craft Pictorial Visualizations

Zhang

Sultanum

Bezerianos

et al. 2020

Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems

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Figure 1. Examples of creations realized with DataQuilt, a new interactive authoring tool that allows authors to borrow visual and stylistic elements from raster images and re-purpose them to create custom, pictorial visualizations. Left: a scatterplot of famous paintings by Klimt, showing the date of creation (x-axis) against how much it was sold for in auction (y-axis). Each data point is a spiral-shaped glyph whose texture is mapped to the painting it represents, whereas the Tree of Life painting is used as a decorative background. Middle: a bar chart representing the distance from the sun for the planets of our solar system. Each data point is represented by a space rocket, whose exhaust flames are stretched according to the underlying data. Decorative glyphs (sun, planets) are used for further information and visual appeal. Right: A personal visualization depicting one's coffee intake over a week. The type of coffee (espresso, latte, etc.) is represented by different coffee cups, all extracted from photographs. The orientation of the handle represents the time, whereas size is proportional to the drink size and horizontal position corresponds to the day of the week.

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DataInk

Cited by 60 publications

References 45 publications

Critical Reflections on Visualization Authoring Systems

Critical Reflections on Visualization Authoring Systems

Expressive Authoring of Node-Link Diagrams With Graphies

DataQuilt: Extracting Visual Elements from Images to Craft Pictorial Visualizations

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