Interactive Graphics for Data Sets with Missing Values: MANET

Unwin, Antony; Hawkins, George; Hofmann, Heike; Siegl, Bernd

doi:10.2307/1390776

Cited by 65 publications

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“…• Manet is one of several statistical visualization programs developed by the computer-oriented statistics and data analysis group of the University of Augsburg (Unwin, Hawkins, Hofman & Siegl 1996). Manet originally focused on the visual estimation of missing values but later incorporated many other visualization techniques.…”

Section: A Brief Review Of the History Of Dynamicinteractive Graphicsmentioning

confidence: 99%

Dynamic-Interactive Graphics for Statistics (26 Years Later)

Valero‐Mora¹,

Ledesma²

2014

Rev. colomb. estad.

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This paper briefly reviews the history of dynamic-interactive graphics for statistics, introduces an example of such graphics, and provides a few glimpses as to the current state of things and the future trends we envision. The general conclusion is that dynamic-interactive graphics for statistics are thriving more than ever as they shift from the desktop to the internet. Thus, dynamic-interactive graphics are becoming increasingly important as they: 1) provide non-experts in statistics with the means to carry out analyses on their own; and 2) teach the basic concepts of statistics to students and practitioners with low to moderate mathematics skills. Their increasing popularity makes the lessons learned over the past 26 years of research on the subject more important than ever.Key words: Data Visualization, Dynamic Graphics, Statistical Graphics. ResumenEste artículo revisa brevemente la historia de las gráficas dinámicas interactivas en estadística, introduce un ejemplo y muestra del estudio actual del arte y las tendencias hacia el futuro. La conclusión general es que las gráficas dinámicas interactivas para la estadística son más populares que nunca y se han desplazado del computador a la Internet. Su importancia en ascenso se debe a que: 1) brindan a los no expertos en estdística los medios para llevar a cabo análisis; 2) enseñan los caminos básicos a estudiantes y practicantes con habilidades bajas o moderadas en matemáticas. Su popularidad hace que las lecciones aprendidas sobre los últimos 26 años sean más importantes que nunca.Palabras clave: gráficas dinámicas, gráficas estadísticas, visualización.a Professor.

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Section: A Brief Review Of the History Of Dynamicinteractive Graphicsmentioning

confidence: 99%

Dynamic-Interactive Graphics for Statistics (26 Years Later)

Valero‐Mora¹,

Ledesma²

2014

Rev. colomb. estad.

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“…Statistical and geographic views are linked together, allowing elements to be selected and simultaneously highlighted in each. MANET (Unwin et al, 1996), developed from the earlier tools SPIDER and REGARD, provides direct manipulation facilities such as drag-and-drop and selection and control of elements in the display, for example.…”

Section: Current Themes In Exploratory (Multiple View) Visualizationmentioning

confidence: 99%

“…Moreover, Gahegan (1998) provides an example of an integrated display to achieve more complete integration of geovisualization views. Ongoing work on MANET (Unwin et al, 1996) is focussed on methods to overlay different plots on the same view. The challenge here is to develop effective overlays that enable the user to keep the context information, understand the depth of knowledge and not become overwhelmed by a complex visual representation.…”

Section: Overlaymentioning

confidence: 99%

Exploratory Visualization with Multiple Linked Views

Roberts

2005

Exploring Geovisualization

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Exploratory visualization enables the user to test scenarios and investigate possibilities. Through an exploration, the user may change various parameter values of a visualization system that in turn alters the appearance of the visual result. For example, the changes made may update what information is being displayed, the quantity or resolution of the information, the type of the display (say) from scatter plot to line-graph. Furthermore, the user may generate additional windows that contain the visual result of the new parameters so they can compare different ideas side-by-side (these multiple views may persist such that the user can compare previous incarnations). Commonly these windows are linked together to allow further investigation and discovery, such as selection by brushing or combined navigation. There are many challenges, such as linking multiple views with different data, initializing the different views, indicating to the user how the different views are linked. This chapter provides a review of current multiple linked-view tools, methodologies and models, discusses related challenges and ideas, and provides some rudiments for coordination within a geovisualization context. The types and uses of coordination for exploratory visualization are varied and diverse, these ideas are underused in geovisualization and exploratory visualization in general. Thus, further research needs to occur to develop specific geovisualization reference models and extensible systems that incorporate the rich variety of possible coordination exploration ideas. IntroductionThis chapter advocates the use of many lightweight views that are linked together. They are lightweight in that they are: (i) easy to generate by the user, where the user does not spend unnecessary time and effort to explicitly link the new view to existing ones; and (ii) do not take many computer resources (e.g., memory, computation). Such multiple linked

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“…In contrast, Dybowski and Weller [15] address the problem of displaying missing information to users by computing estimates and ranges. MANET [16] and XGobi [17] attempt to make users aware of missing data and uncertainty. They use complementary display that indicates the proportion of a missing data.…”

Section: Related Workmentioning

confidence: 99%

Visualizing Missing Data: Graph Interpretation User Study

Eaton

Plaisant

Drizd

2005

Human-Computer Interaction - INTERACT 2005

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Abstract. Most visualization tools fail to provide support for missing data. In this paper, we identify sources of missing data and describe three levels of impact missing data can have on the visualization: perceivable, invisible or propagating. We then report on a user study with 30 participants that compared three design variants. A between-subject graph interpretation study provides strong evidence for the need of indicating the presence of missing information, and some direction for addressing the problem.

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Interactive Graphics for Data Sets with Missing Values: MANET

Cited by 65 publications

References 0 publications

Dynamic-Interactive Graphics for Statistics (26 Years Later)

Dynamic-Interactive Graphics for Statistics (26 Years Later)

Exploratory Visualization with Multiple Linked Views

Visualizing Missing Data: Graph Interpretation User Study

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