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Visual Designs for Binned Aggregation of Multi-Class Scatterplots [article]

Florian Heimerl, Chih-Ching Chang, Alper Sarikaya, Michael Gleicher
2020 arXiv   pre-print
For these larger data sets, binned aggregation (or binning) is often used to summarize the data, with many possible design alternatives for creating effective visual representations of these summaries.  ...  Point sets in 2D with multiple classes are a common type of data. A canonical visualization design for them are scatterplots, which do not scale to large collections of points.  ...  CONCLUSION We have explored the visualization design space for binned aggregation, a popular method to aggregate large multi-class scatterplots.  ... 
arXiv:1810.02445v2 fatcat:tqsbmwe6fbfjbcgwaf2oijcmd4

Kyrix-S: Authoring Scalable Scatterplot Visualizations of Big Data [article]

Wenbo Tao, Xinli Hou, Adam Sah, Leilani Battle, Remco Chang, Michael Stonebraker
2020 arXiv   pre-print
We call this type of visualization scalable scatterplot visualizations, or SSV for short.  ...  Third, many systems focus on only a small subset of the SSV design space (e.g. supporting a specific type of visual marks).  ...  ACKNOWLEDGEMENT We thank the anonymous reviewers for their thoughtful feedback. This  ... 
arXiv:2007.15904v1 fatcat:l64ospy5i5cblp6ajka5yrhkmu

SMAP: A Joint Dimensionality Reduction Scheme for Secure Multi-Party Visualization [article]

Jiazhi Xia, Tianxiang Chen, Lei Zhang, Wei Chen, Yang Chen, Xiaolong Zhang, Cong Xie, Tobias Schreck
2020 arXiv   pre-print
Aggregated visualization can be optionally employed to hide disclosure of point-level relationships.  ...  We present a secure multi-party scheme for joint t-SNE computation, which can minimize the risk of data leakage.  ...  ACKNOWLEDGMENTS We would like to thank the anonymous reviewers for their constructive suggestions.  ... 
arXiv:2007.15591v1 fatcat:jpidpkuhhvaevmrr4taxjmzgy4

Visual Analysis of Relations in Attributed Time-Series Data [article]

Martin Steiger, Jürgen Bernard, Philipp Schader, Jörn Kohlhammer
2015 EuroVis Workshop on Visual Analytics (EuroVA)  
In this paper, we present visual-interactive techniques for revealing relations between two co-existing multivariate feature spaces.  ...  Such data is generated, for example, by sensor networks characterized by a set of (categorical) attributes which continuously measure physical quantities over time.  ...  Visualization & Interaction We present the visualization and interaction design of our analysis tool.  ... 
doi:10.2312/eurova.20151105 dblp:conf/vissym/SteigerBSK15 fatcat:liyueum6yfbjfnnn7q3sidb3z4

Blending Aggregation and Selection: Adapting Parallel Coordinates for the Visualization of Large Datasets

Gennady Andrienko, Natalia Andrienko
2005 The Cartographic Journal  
to combine these approaches, i.e. build a tool showing the whole set and arbitrarily defined subsets (object classes) in an aggregated way and superimposing this with a representation of arbitrarily selected  ...  We have achieved such a combination of approaches by modifying the technique of parallel coordinate plot. These modifications are described and analysed in the paper.  ...  The modifications of scatterplot are known as binned scatterplot or two-variable histogram (see, for example, [C91] or [W99]).  ... 
doi:10.1179/000870405x57284 fatcat:o6vzqgv3x5f4xnyvlprixfbtzq

Visual Scalability

Stephen G Eick, Alan F Karr
2002 Journal of Computational And Graphical Statistics  
Our approach for increasing visual scalability includes improved visual metaphors, interactivity and perspectives that link multiple views.  ...  In this paper, we define and structure the problem of visual scalability, with special emphasis on the role of visualization as a means of access to details of the data.  ...  thank participants at the workshop for their comments and questions.  ... 
doi:10.1198/106186002317375604 fatcat:6i5igmcmpnhypdaxkrmvp7zq3e

Markov Chain Driven Multi-Dimensional Visual Pattern Analysis with Parallel Coordinates [article]

Zhao Geng, James Walker, Robert S. Laramee
2012 International Symposium on Vision, Modeling, and Visualization  
The traditional binning method, which records line-segment frequency, only considers data in a two-dimensional subspace, as a result, the multi-dimensional features are not taken into account for trend  ...  Parallel coordinates is a widely used visualization technique for presenting, analyzing and exploring multidimensional data.  ...  With these approaches, data is sometimes aggregated and filtered by means of binning.  ... 
doi:10.2312/pe/vmv/vmv12/191-198 dblp:conf/vmv/GengWL12 fatcat:hq76mcny2vcl7chyfmj6jw6jwq

Automated measures for interpretable dimensionality reduction for visual classification: A user study

Ilknur Icke, Andrew Rosenberg
2011 2011 IEEE Conference on Visual Analytics Science and Technology (VAST)  
We first study how humans judge the quality of 2D scatterplots of various datasets with varying number of classes and provide comparisons with ten automated measures, including a number of visual quality  ...  In this paper, we argue that interpretability of the visualizations and the feature transformation functions are both crucial for visual exploration of high dimensional labeled data.  ...  The choice of bin size influences how this measure scores the views. In our experiments, we used 100x100 bins for each dataset.  ... 
doi:10.1109/vast.2011.6102474 dblp:conf/ieeevast/IckeR11 fatcat:yzumkmaazjagvpjkgskoakjag4

Modeling the Influence of Visual Density on Cluster Perception in Scatterplots Using Topology [article]

Ghulam Jilani Quadri, Paul Rosen
2020 arXiv   pre-print
For visualization designers, optimizing the visual encodings is crucial to maximizing the clarity of data.  ...  Scatterplots are used for a variety of visual analytics tasks, including cluster identification, and the visual encodings used on a scatterplot play a deciding role on the level of visual separation of  ...  ACKNOWLEDGMENTS We thank Bei Wang, Les Piegl, Jorge Adorno Nieves, Zach Beasley, Junyi Tu, and our reviewers for their input on this project.  ... 
arXiv:2007.13872v2 fatcat:tosxauwamfczjafdpxd2ztov6e


Sean Kandel, Ravi Parikh, Andreas Paepcke, Joseph M. Hellerstein, Jeffrey Heer
2012 Proceedings of the International Working Conference on Advanced Visual Interfaces - AVI '12  
The system contributes novel methods for integrated statistical and visual analysis, automatic view suggestion, and scalable visual summaries that support real-time interaction with millions of data points  ...  We present Profiler, a visual analysis tool for assessing quality issues in tabular data.  ...  A view specification determines how data is aggregated for a visual summary by assigning each row of input a group id (e.g., a bin in a histogram or binned scatterplot).  ... 
doi:10.1145/2254556.2254659 dblp:conf/avi/KandelPPHH12 fatcat:szjsep4j45dvtajlgpznmqszc4

GPU-Assisted Scatterplots for Millions of Call Events

Dylan Rees, Richard C. Roberts, Robert S. Laramee, Paul Brookes, Tony D'Cruze, Gary A. Smith
2018 Computer Graphics and Visual Computing  
In this paper we present an application for visualizing large call centre data sets using hardware-accelerated scatterplots.  ...  The scatterplot is a well established and understood form of data visualization dating back to the 17th century.  ...  The technique is shown to be applicable to many visual designs including treemaps and scatterplots.  ... 
doi:10.2312/cgvc.20181209 dblp:conf/tpcg/ReesRLBDS18 fatcat:k7m6h2on7jglvhzk2xv6dy7j5q

Hypothesis Generation in Climate Research with Interactive Visual Data Exploration

J. Kehrer, F. Ladstadter, P. Muigg, H. Doleisch, A. Steiner, H. Hauser
2008 IEEE Transactions on Visualization and Computer Graphics  
This article is accepted for publication in IEEE Transactions on Visualization and Computer Graphics, 17 (7) Acknowledgments The authors thank Thomas Nocke, Michael Flechsig, and colleagues from the  ...  Johannessen (Univ. of Bergen) for proof-reading. The Diesel Exhaust System dataset is courtesy of AVL List GmbH, Graz, Austria.  ...  Statistical aggregations of multi-run simulations can be visualized, for instance, using linked scatterplots, graphical tables, or parallel coordinates.  ... 
doi:10.1109/tvcg.2008.139 pmid:18989013 fatcat:t6tahgdxjzgsfbkaxds564vyzy

The What-If Tool: Interactive Probing of Machine Learning Models

James Wexler, Mahima Pushkarna, Tolga Bolukbasi, Martin Wattenberg, Fernanda Viegas, Jimbo Wilson
2019 IEEE Transactions on Visualization and Computer Graphics  
We describe the design of the tool, and report on real-life usage at different organizations.  ...  The What-If Tool lets practitioners test performance in hypothetical situations, analyze the importance of different data features, and visualize model behavior across multiple models and subsets of input  ...  ACKNOWLEDGMENTS The authors wish to thank the Google Research Big Picture and PAIR groups for their help throughout the entire process, along with all of the users from industry and academia that have  ... 
doi:10.1109/tvcg.2019.2934619 pmid:31442996 fatcat:mw6cw7no3nbdtfsrr4e3gz2lqe

Stardust: Accessible and Transparent GPU Support for Information Visualization Rendering

Donghao Ren, Bongshin Lee, Tobias Höllerer
2017 Computer graphics forum (Print)  
Web-based visualization libraries are in wide use, but performance bottlenecks occur when rendering, and especially animating, a large number of graphical marks.  ...  Stardust also enables developers to create both 2D and 3D visualizations for diverse display environments using a uniform API.  ...  Acknowledgments We thank Andrés Cabrera and JoAnn Kuchera-Morin for the discussion and support in the AlloSphere. This work was in part supported by ONR grants N00014-14-1-0133 and N00014-16-1-3002.  ... 
doi:10.1111/cgf.13178 fatcat:g5e4egpck5hyzosli5dchbdj6e

Star Glyph Insets for Overview Preservation of Multivariate Data

Dominik Jäckle, Johannes Fuchs, Daniel Keim
2016 IS&T International Symposium on Electronic Imaging Science and Technology  
An additional challenge rises if the visualized data is of multivariate nature, which we encounter in various domains such as healthcare, nutrition, crime reports, or social networks.  ...  Existing overview-plus-detail approaches do provide context but only limited support for multivariate data and often suffer from distortion.  ...  Acknowledgments This work was partly supported by the EU project Visual Analytics for Sense-making in Criminal Intelligence Analysis (VAL-CRI) under grant number FP7-SEC-2013-608142.  ... 
doi:10.2352/issn.2470-1173.2016.1.vda-506 fatcat:tzeujy2q7nhc5javymkttz44x4
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