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Gaining understanding of multivariate and multidimensional data through visualization

Selan dos Santos, Ken Brodlie
2004 Computers & graphics  
doi:10.1016/j.cag.2004.03.013 fatcat:p7q6agivkndddkauhc7vg3xsui

Visualization of Multidimensional Data in Nursing Science

Sharron L. Docherty, Allison Vorderstrasse, Debra Brandon, Constance Johnson
2016 Western Journal of Nursing Research  
Scientific visualization is a powerful methodological tool for facilitating understanding of these multidimensional data sets.  ...  Our purpose is to demonstrate the utility of scientific visualization as a method for identifying associations, patterns, and trends in multidimensional data as exemplified in two studies.  ...  supported by the National Institute of Nursing Research of the National Institutes of Health under Award Numbers R01NR010548; R01NR010548-02S1; the National Heart, Lung, and Blood Institute of the National  ... 
doi:10.1177/0193945916672448 pmid:27756850 pmcid:PMC5395350 fatcat:4hajzugy2zhznggco35csvucme

A Review on the Development of Big Data Analytics and Effective Data Visualization Techniques in the Context of Massive and Multidimensional Data

J. Jabanjalin Hilda, C. Srimathi, Bhulakshmi Bonthu
2016 Indian Journal of Science and Technology  
This paper focuses on the general background of data visualization and visualization techniques.  ...  Methods: Data visualization has the prospective to assist humans in analysing and comprehending large volumes of data, and to detect patterns, clusters and outliers that are not obvious using non-graphical  ...  Its goal is to gain insight into homogeneous, contradictory and incomplete data through the combination of automatic analysis methods with human background knowledge and intuition.  ... 
doi:10.17485/ijst/2016/v9i27/88692 fatcat:37fdoyhz7fh67fb6jtsol2e4gi

Taxonomy of User Intention and Benefits of Visualization for Financial and Accounting Data Analysis [chapter]

Snezana Savoska, Suzana Loshkovska
2014 Advances in Intelligent Systems and Computing  
Creating this kind of a taxonomic model for visualization of multidimensional and multivariate financial or accounting data implies a possibility for introducing an automatic selection of a visualization  ...  We propose а new multidimensional and multivariate taxonomy for information visualization.  ...  This study focuses on the use of the most popular visualization techniques for multidimensional and multivariate (mdmv) data visualization, as data is usually multidimensional and its attributes can be  ... 
doi:10.1007/978-3-319-01466-1_19 fatcat:eazzqzxyszhmdem2nvniq3wbty

Single view vs. multiple views scatterplots

Federico Manuri, Andrea Sanna, Fabrizio Lamberti
2019 International Journal of Electrical and Computer Engineering (IJECE)  
Even so, one of the most significant and unsolved challenge in data visualization consists in effectively displaying datasets with many attributes or dimensions, such as multidimensional or multivariate  ...  The scatterplot visualization diagram is considered one of the most functional among the variety of data visual representations, due to its relative simplicity compared to other multivariable visualization  ...  Multidimensional and multivariate data Datasets with a high number of variables have been defined by Wong and Bergeron as multidimensional multivariate data [14] : the dataset represents a set of observations  ... 
doi:10.11591/ijece.v9i2.pp1426-1436 fatcat:qtvcyad3ybcfvdmqe5u6gkhfeu

Augmenting the usability of parallel coordinate plot: The polyline glyphs

Tomasz Opach, Jan Ketil Rød
2017 Information Visualization  
Funding The research presented in this article contributes to the ClimRes project (Climate change and natural hazards: the geography of community resilience in Norway), which is funded by the Research  ...  Council of Norway.  ...  Our goal is to investigate whether showing multivariate signatures of data items as both juxtaposed and superimposed in a PCP can augment the gained insight and hence also the usability of the latter visualization  ... 
doi:10.1177/1473871617693041 fatcat:z2wb55fz7jh4digdefcjqg237m

SeekAView: An intelligent dimensionality reduction strategy for navigating high-dimensional data spaces

Josua Krause, Aritra Dasgupta, Jean-Daniel Fekete, Enrico Bertini
2016 2016 IEEE 6th Symposium on Large Data Analysis and Visualization (LDAV)  
We integrate a visually scalable design space with an iterative workflow guiding the analysts by choosing the starting points and letting them slice and dice through the data to find interesting subspaces  ...  In SeekAView we address these issues using suggestion based visual exploration of interesting patterns for building and refining multidimensional subspaces.  ...  The research described in this paper is part of the Analysis in Motion Initiative at Pacific Northwest National Laboratory (PNNL).  ... 
doi:10.1109/ldav.2016.7874305 dblp:conf/ldav/KrauseDFB16 fatcat:cn3ej6zyhrbm7hrpyvq2uslw6a

Geovisualization to support the exploration of large health and demographic survey data

Etien L Koua, Menno-Jan Kraak
2004 International Journal of Health Geographics  
visualization to support visual data mining and knowledge discovery.  ...  The framework suggests ways to explore the general structure of the dataset in its multidimensional space in order to provide clues for further exploration of correlations and relationships.  ...  The ultimate goal is to support visual data mining and exploration, and gain insights on appropriate underlying distributions, patterns and trends, and therefore contribute to enhance the understanding  ... 
doi:10.1186/1476-072x-3-12 pmid:15180898 pmcid:PMC421745 fatcat:jxyzis4ocrdutihrszky5ptez4

Multivariate Network Exploration with JauntyNets

Ilir Jusufi, Andreas Kerren, Bjorn Zimmer
2013 2013 17th International Conference on Information Visualisation  
The amount of data produced in the world every day implies a huge challenge in understanding and extracting knowledge from it.  ...  They help us to understand the structure (topology) of the relational data. However in many real world data sets, additional (often multidimensional) attributes are attached to the network elements.  ...  Additionally, data mining techniques, such as clustering and multidimensional scaling, were used to facilitate the visual analyses of multivariate networks.  ... 
doi:10.1109/iv.2013.3 dblp:conf/iv/JusufiKZ13 fatcat:ebnchi5fkncr7nrenvivluzfae

A Survey of Visual Analytics Techniques and Applications: State-of-the-Art Research and Future Challenges

Guo-Dao Sun, Ying-Cai Wu, Rong-Hua Liang, Shi-Xia Liu
2013 Journal of Computer Science and Technology  
This report reviews and classifies recent work into a set of application categories including space and time, multivariate, text, graph and network, and other applications.  ...  Visual analytics employs interactive visualizations to integrate users' knowledge and inference capability into numerical/algorithmic data analysis processes.  ...  Multivariate Data Visual analytics of multivariate data is an active research area.  ... 
doi:10.1007/s11390-013-1383-8 fatcat:reurwsabkvdehjv7ub2oj6jqgi

Interactive Visualization of Spatial Multidimensional Data

Bogdan Maxim, Dorian Gorgan
2017 Romanian Conference on Human-Computer Interaction  
The multidimensional spatial data understanding needs adaptive and performant algorithms executed on reasonable time.  ...  This paper presents two interactive visualization techniques of the multidimensional spatial data, modeled by the Rasdaman technology.  ...  ACKNOWLEDGMENTS This research has been carried out in the Computer Graphics and Interactive Systems Laboratory (CGIS) of the Computer Science Department, in The Technical University of Cluj-Napoca.  ... 
dblp:conf/rochi/MaximG17 fatcat:g4mj4lmcorbhrehbapk4leeque

Information and Knowledge assisted analysis and Visualization of large-scale data

Chaoli Wang, Kwan-Liu Ma
2008 2008 Workshop on Ultrascale Visualization  
The ever-increasing sizes of data produced from a variety of scientific studies post a formidable challenge for the subsequent data analysis and visualization tasks.  ...  In many cases, the best interactivity can only be obtained by taking into account the intrinsic properties of the data and domain knowledge to better reduce and organize the data for visualization.  ...  Department of Energy through the SciDAC program with Agreement No. DE-FC02-06ER25777 and DE-FG02-08ER54956.  ... 
doi:10.1109/ultravis.2008.5154057 fatcat:ezo5zxlpsnhmbgj74nzrwdpwam

Educating Students in Official Statistics using Embedded Geovisual Analytics Storytelling Methods [article]

Mikael Jern
2010 Eurographics State of the Art Reports  
trends and patterns, 3) then orchestrate and describe metadata, 4) collaborate with colleagues to confirm and 5) finally publish essential gained insight and knowledge embedded as dynamic visualization  ...  In this paper, we introduce novel "storytelling" means for the author (educator) to 1) select any spatio-temporal and multidimensional national or sub-national statistical data, 2) explore and discern  ...  Acknowledgements This research and case studies were carried out by NCVA in close collaboration with OECD and Sweden Statistics who supplied data and comprehensive evaluation of the statistical storytelling  ... 
doi:10.2312/eged.20101015 fatcat:q2whlmdhxbcvri4onwnwjqa6ci

DataMeadow: A Visual Canvas for Analysis of Large-Scale Multivariate Data

Niklas Elmqvist, John Stasko, Philippas Tsigas
2008 Information Visualization  
The purpose of the DataMeadow is to allow users to create advanced visual queries by iteratively selecting and filtering into the multidimensional data.  ...  Supporting visual analytics of multiple large-scale multidimensional datasets requires a high degree of interactivity and user control beyond the conventional challenges of visualizing such datasets.  ...  Multivariate Visualization Much work has been conducted on visually presenting hypervariate data in a form suitable for understanding; Keim [16] presents an overview and taxonomy of such techniques.  ... 
doi:10.1057/palgrave.ivs.9500170 fatcat:yvdwth4qprc4hn3srukhimpr2e

DataMeadow: A Visual Canvas for Analysis of Large-Scale Multivariate Data

Niklas Elmqvist, John Stasko, Philippas Tsigas
2007 2007 IEEE Symposium on Visual Analytics Science and Technology  
The purpose of the DataMeadow is to allow users to create advanced visual queries by iteratively selecting and filtering into the multidimensional data.  ...  Supporting visual analytics of multiple large-scale multidimensional datasets requires a high degree of interactivity and user control beyond the conventional challenges of visualizing such datasets.  ...  Multivariate Visualization Much work has been conducted on visually presenting hypervariate data in a form suitable for understanding; Keim [16] presents an overview and taxonomy of such techniques.  ... 
doi:10.1109/vast.2007.4389013 dblp:conf/ieeevast/ElmqvistST07 fatcat:esrsmhnnpnburgesebzwiv5l2e
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