Visualization of Data: Methods, Software, and Applications

2019 ◽  
pp. 295-307 ◽  
Author(s):  
Gintautas Dzemyda ◽  
Olga Kurasova ◽  
Viktor Medvedev ◽  
Giedrė Dzemydaitė
Keyword(s):  
Visualization Of Data

scholarly journals An Interactive Web Application for the Statistical Analysis of Continuous Glucose Monitoring Data in Epidemiological Studies

2021 ◽  
pp. 193229682098557
Author(s):  
Alysha M. De Livera ◽  
Jonathan E. Shaw ◽  
Neale Cohen ◽  
Anne Reutens ◽  
Agus Salim
Keyword(s):  
Continuous Glucose Monitoring ◽  
Web Application ◽  
Diabetes Management ◽  
Glucose Monitoring ◽  
Epidemiological Studies ◽  
Interactive Software ◽  
Web Based ◽  
Software Applications ◽  
Visualization Of Data ◽  
User Friendly

Motivation: Continuous glucose monitoring (CGM) systems are an essential part of novel technology in diabetes management and care. CGM studies have become increasingly popular among researchers, healthcare professionals, and people with diabetes due to the large amount of useful information that can be collected using CGM systems. The analysis of the data from these studies for research purposes, however, remains a challenge due to the characteristics and large volume of the data. Results: Currently, there are no publicly available interactive software applications that can perform statistical analyses and visualization of data from CGM studies. With the rapidly increasing popularity of CGM studies, such an application is becoming necessary for anyone who works with these large CGM datasets, in particular for those with little background in programming or statistics. CGMStatsAnalyser is a publicly available, user-friendly, web-based application, which can be used to interactively visualize, summarize, and statistically analyze voluminous and complex CGM datasets together with the subject characteristics with ease.

Three-dimensional visualization of data on human anatomy: diagnosis and surgical planning

1993 ◽  
Vol 16 (1) ◽  
pp. 4-10 ◽  
Author(s):  
A. D. Linney ◽  
A. C. Tan ◽  
R. Richards ◽  
J. Gardener ◽  
S. Grindrod ◽  
...  
Keyword(s):  
Surgical Planning ◽  
Three Dimensional ◽  
Human Anatomy ◽  
Visualization Of Data

Multidimensional Visualization of Data Envelopment Analysis Models

2021 ◽  
Vol 5 (2) ◽  
pp. 339-361
Author(s):  
Alexander P. Afanasiev ◽  
Vladimir E. Krivonozhko ◽  
Finn R. Førsund ◽  
Andrey V. Lychev
Keyword(s):  
Data Envelopment Analysis ◽  
Data Envelopment ◽  
Multidimensional Visualization ◽  
Visualization Of Data ◽  
Analysis Models

scholarly journals CellNetVis: a web tool for visualization of biological networks using force-directed layout constrained by cellular components

2017 ◽  
Author(s):  
Henry Heberle ◽  
Marcelo Falsarella Carazzolle ◽  
Guilherme P. Telles ◽  
Gabriela Vaz Meirelles ◽  
Rosane Minghim
Keyword(s):  
Biological Networks ◽  
Visual Exploration ◽  
Web Tool ◽  
Biomolecular Interaction ◽  
Dense Networks ◽  
A Cell ◽  
Visualization Of Data ◽  
Cellular Compartments ◽  
Cellular Components ◽  
Dynamic Investigation

AbstractBackgroundThe advent of “omics” science has brought new perspectives in contemporary biology through the high-throughput analyses of molecular interactions, providing new clues in protein/gene function and in the organization of biological pathways. Biomolecular interaction networks, or graphs, are simple abstract representations where the components of a cell (e.g. proteins, metabolites etc.) are represented by nodes and their interactions are represented by edges. An appropriate visualization of data is crucial for understanding such networks, since pathways are related to functions that occur in specific regions of the cell. The force-directed layout is an important and widely used technique to draw networks according to their topologies. Placing the networks into cellular compartments helps to quickly identify where network elements are located and, more specifically, concentrated. Currently, only a few tools provide the capability of visually organizing networks by cellular compartments. Most of them cannot handle large and dense networks. Even for small networks with hundreds of nodes the available tools are not able to reposition the network while the user is interacting, limiting the visual exploration capability.ResultsHere we propose CellNetVis, a web tool to easily display biological networks in a cell diagram employing a constrained force-directed layout algorithm. The tool is freely available and open-source. It was originally designed for networks generated by the Integrated Interactome System and can be used with networks from others databases, like InnateDB.ConclusionsCellNetVis has demonstrated to be applicable for dynamic investigation of complex networks over a consistent representation of a cell on the Web, with capabilities not matched elsewhere.

scholarly journals Virtual Reality Simulation: An Innovative Teaching Tool for Dietetics Experiential Education

2015 ◽  
Vol 9 (1) ◽  
pp. 65-75 ◽  
Author(s):  
Anne Davis
Keyword(s):  
Virtual Reality ◽  
Three Dimensions ◽  
Virtual Reality Simulation ◽  
Innovative Teaching ◽  
Web Based ◽  
Educational Benefits ◽  
Web Technologies ◽  
Dietetics Education ◽  
Learning Content ◽  
Visualization Of Data

This paper investigates the role of virtual reality and web technologies in the field of dietetics education. Within this frame, special emphasis is given on the building of web-based virtual learning environments so as to successfully fulfill their educational objectives. In particular, basic pedagogical methods are studied, focusing mainly on the efficient preparation, approach and presentation of learning content, and specific designing rules are presented considering the hypermedia, virtual and educational nature of this kind of applications. The paper also aims to highlight the educational benefits arising from the use of virtual reality technology in dietetics and study the emerging area of web-based dietetic simulations. Virtual reality simulation allows the visualization of data in three dimensions and provides interactive functionalities that reinforce the feeling of immersion into a computer-generated virtual world. Finally, the innovative virtual reality environment for dietetics education pedagogy and development is demonstrated.

scholarly journals Learning Analytics in a Virtual Learning Environment: the challenge of mapping socio-affective scenarios

2020 ◽  
Vol 8 (6) ◽  
pp. 190-204
Author(s):  
Jacqueline Mayumi Akazaki ◽  
Leticia Rocha Machado ◽  
Ketia Kellen Araújo da Silva ◽  
Patricia Alejandra Behar
Keyword(s):  
Social Interactions ◽  
Undergraduate Students ◽  
Social Relations ◽  
Learning Analytics ◽  
Teaching And Learning ◽  
Virtual Learning ◽  
Virtual Learning Environment ◽  
Pedagogical Strategies ◽  
The Social ◽  
Visualization Of Data

Virtual courses are increasingly being offered in Brazil, making it imperative to develop technological resources and research to help in the teaching and learning processes in this modality. One approach is to analyze student's socio-affective profile in Virtual Learning Environments (VLE). The co-operative learning network (ROODA) VLE has two features called the Social Map (SM) and Affective Map (AM), which can both contribute to the visualization of data regarding social interaction indicators and students' moods in the environment. The SM presents the social relations formed through indicators, which are the absence; collaboration; the distance from the class; evasion; informal groups and popularity, enabling the identification of the participating subjects in the form of sociograms. The AM identifies students' moods graphically through indicators, which are excitement, discouragement, satisfaction, and dissatisfaction. Thus, this article aims to map the possible recurrent socio-affective scenarios in a VLE using Learning Analytics (LA). LA is defined as measurement, collection, analysis, and reporting of data about students and their contexts to understand as well as optimize learning and the environments in which it occurs. It can also contribute to the understanding of student's learning profile, based on social and affective aspects, thus allowing the teacher to develop pedagogical strategies consistent with the needs of each subject. The importance of integrating the possible social and affective scenarios was verified using LA, making it possible to deepen the comprehension of the subjective and qualitative questions regarding the students' interactions in the VLE. In this study, the scenarios are understood as the intersection between the Affective Map and Social Map indicators identified in a VLE. It has both a qualitative and quantitative approach. The choice is qualitatively justified because the research object involves social and affective phenomena that were subjectively expressed in texts and social interactions manifested in the ROODA VLE. It is quantitatively justified by the need to measure the mapping of socio-affective indicators through social parameters and moods applying LA. The subjects were undergraduate students who participated in distance learning courses at a Brazilian public university that used the ROODA VLE in the second semester of 2019. Data were collected from social and affective maps to identify if there was a relationship between them. As a result, based on the existing indicators of social interactions and moods, the socio-affective indicators were created using LA in order to analyze the students’ behavior in relation to the forms of interaction and communication that occur in the ROODA VLE.

Visualization of Big Data Sets Using Computer Graphics

2018 ◽  
pp. 578-603
Author(s):  
Anna Ursyn ◽  
Edoardo L'Astorina
Keyword(s):  
Big Data ◽  
Data Visualization ◽  
Visual Analysis ◽  
Data Sets ◽  
Arrival Times ◽  
Learning And Teaching ◽  
Knowledge Domains ◽  
Visualization Of Data ◽  
And Mathematics ◽  
Visualization Techniques

This chapter discusses some possible ways of how professionals, researchers and users representing various knowledge domains are collecting and visualizing big data sets. First it describes communication through senses as a basis for visualization techniques, computational solutions for enhancing senses and ways of enhancing senses by technology. The next part discusses ideas behind visualization of data sets and ponders what is and what not visualization is. Further discussion relates to data visualization through art as visual solutions of science and mathematics related problems, documentation objects and events, and a testimony to thoughts, knowledge and meaning. Learning and teaching through data visualization is the concluding theme of the chapter. Edoardo L'Astorina provides visual analysis of best practices in visualization: An overlay of Google Maps that showed all the arrival times - in real time - of all the buses in your area based on your location and visual representation of all the Tweets in the world about TfL (Transport for London) tube lines to predict disruptions.

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