Introduction to the special issue on interactive graphical data analysis: What is interaction ?

Swayne, Deborah F.; Klinke, Sigbert

doi:10.1007/pl00022700

Cited by 10 publications

(8 citation statements)

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“…Direct manipulation of graphical objects (Shneiderman, 1983;Swayne and Klinke (1999); Wills (1999)) is at the heart of interactive graphics. Direct manipulation is what we use only for the highest level of interaction, such as selection or brushing of elements.…”

Section: Input Actionsmentioning

confidence: 99%

Reactive Programming for Interactive Graphics

Xie¹,

Hofmann²,

Cheng³

2014

Statist. Sci.

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One of the big challenges of developing interactive statistical applications is the management of the data pipeline, which controls transformations from data to plot. The user's interactions needs to be propagated through these modules and reflected in the output representation at a fast pace. Each individual module may be easy to develop and manage, but the dependency structure can be quite challenging. The MVC (Model/View/Controller) pattern is an attempt to solve the problem by separating the user's interaction from the representation of the data. In this paper we discuss the paradigm of reactive programming in the framework of the MVC architecture and show its applicability to interactive graphics. Under this paradigm, developers benefit from the separation of user interaction from the graphical representation, which makes it easier for users and developers to extend interactive applications. We show the central role of reactive data objects in an interactive graphics system, implemented as the R package cranvas, which is freely available on GitHub and the main developers include the authors of this paper.Comment: Published in at http://dx.doi.org/10.1214/14-STS477 the Statistical Science (http://www.imstat.org/sts/) by the Institute of Mathematical Statistics (http://www.imstat.org

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Section: Input Actionsmentioning

confidence: 99%

Reactive Programming for Interactive Graphics

Xie¹,

Hofmann²,

Cheng³

2014

Statist. Sci.

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“…The interpretation of the terms “interactive” and “dynamic” can vary and has potentially changed as technology evolved ( Swayne and Klinke, 1999 ). Here, a graphic will be called “interactive” if users can interact with the graphic through user interaction such as hovers or clicks.…”

Section: Introductionmentioning

confidence: 99%

“…Here, a graphic will be called “interactive” if users can interact with the graphic through user interaction such as hovers or clicks. Note that Swayne and Klinke (1999) refer to this as “direct manipulation”. A graphic is “dynamic” if the graphic updates its content in real-time, for example, a 3D rotation.…”

Section: Introductionmentioning

confidence: 99%

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ASAS-NANP SYMPOSIUM: prospects for interactive and dynamic graphics in the era of data-rich animal science1

Morota

Cheng

Cook

et al. 2021

Journal of Animal Science

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Statistical graphics, and data visualization, play an essential but under-utilized, role for data analysis in animal science, and also to visually illustrate the concepts, ideas, or outputs of research and in curricula. The recent rise in web technologies and ubiquitous availability of web browsers enables easier sharing of interactive and dynamic graphics. Interactivity and dynamic feedback enhance human–computer interaction and data exploration. Web applications such as decision support systems coupled with multimedia tools synergize with interactive and dynamic graphics. However, the importance of graphics for effectively communicating data, understanding data uncertainty, and the state of the field of interactive and dynamic graphics is underappreciated in animal science. To address this gap, we describe the current state of graphical methodology and technology that might be more broadly adopted. This includes an explanation of a conceptual framework for effective graphics construction. The ideas and technology are illustrated using publicly available animal datasets. We foresee that many new types of big and complex data being generated in precision livestock farming create exciting opportunities for applying interactive and dynamic graphics to improve data analysis and make data-supported decisions.

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“…The term "interactive graphics" can be ambiguous, as disclosed by Swayne and Klinke (1999) in an editorial of Computational Statistics: it may imply the direct manipulation of the graph itself, manipulation of the graph controls, or even the commandline interaction with graphs. Nowadays we primarily mean the direct manipulation on graphs, but other meanings still have their usefulness.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Graphics and Reporting for Statistics

Xie

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Introduction to the special issue on interactive graphical data analysis: What is interaction ?

Cited by 10 publications

References 0 publications

Reactive Programming for Interactive Graphics

Reactive Programming for Interactive Graphics

ASAS-NANP SYMPOSIUM: prospects for interactive and dynamic graphics in the era of data-rich animal science1

Dynamic Graphics and Reporting for Statistics

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