Relevant bibliographies by topics / Online data visualization

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Online data visualization'

Author: Grafiati
Published: 28 June 2021
Last updated: 13 February 2022

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Journal articles on the topic "Online data visualization"

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Miller, Charles, Lucas Lecheler, Bradford Hosack, Aaron Doering, and Simon Hooper. "Orchestrating Data, Design, and Narrative." International Journal of Cyber Behavior, Psychology and Learning 2, no. 2 (April 2012): 1–15. http://dx.doi.org/10.4018/ijcbpl.2012040101.

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Information visualization involves the visual, and sometimes interactive, presentation and organization of complex data in a clear, compelling representation. Information visualization is an essential element in peoples’ daily lives, especially those in data-driven professions, namely online educators. Although information visualization research and methods are prevalent in the diverse fields of healthcare, statistics, economics, information technology, computer science, and politics, few examples of successful information visualization design or integration exist in online learning. The authors provide a background of information visualization in education, explore a set of potential roles for information visualization in the future design and integration of online learning environments, provide examples of contemporary interactive visualizations in education, and discuss opportunities to move forward with design and research in this emerging area.
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Atzl, Caroline, Bernhard Vockner, and Manfred Mittlboeck. "Online Visualization of Streaming Data." GI_Forum 2 (2016): 57–66. http://dx.doi.org/10.1553/giscience2016_02_s57.

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Costagliola, G., V. Fuccella, M. Giordano, and G. Polese. "Monitoring Online Tests through Data Visualization." IEEE Transactions on Knowledge and Data Engineering 21, no. 6 (June 2009): 773–84. http://dx.doi.org/10.1109/tkde.2008.133.

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Shamim, Azra, Vimala Balakrishnan, and Muhammad Tahir. "Evaluation of opinion visualization techniques." Information Visualization 14, no. 4 (September 24, 2014): 339–58. http://dx.doi.org/10.1177/1473871614550537.

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In this article, we are reporting the findings of a usability study of opinion mining systems’ visualizations. The objectives of this study are to first to rank the visualizations of the opinion mining systems and second to identify important visualization metrics. A questionnaire survey was designed to ask users their level of agreement or disagreement about the 11 selected visualizations against a set of information visualization metrics on a Likert scale. The data were collected by conducting seminars and using a web-based online questionnaire (N = 146). The collected data were analyzed using descriptive statistics and an independent sample t-test to rank the visualizations and investigate differences between perceptions of the two groups of respondents (the participants of the seminars and the online questionnaire), respectively. The results revealed that simple, eye pleasing, easy to understand, user-friendly visualizations with less pre-knowledge required rated higher than others. It is concluded that the participants of the online questionnaire mostly required more pre-knowledge to comprehend the visualizations as compared to the participants of the seminars. The important information visualization metrics are eye pleasing, easy to understand, user-friendly, informative design, usefulness, and representation style. The results of this study could aid in the design and development of visualizations for opinion mining systems.
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André, Tiago Silva, and Elizabeth Simão Carvalho. "Hotels Online Opinion Visualization." International Journal of Creative Interfaces and Computer Graphics 10, no. 1 (January 2019): 30–42. http://dx.doi.org/10.4018/ijcicg.2019010103.

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Nowadays there are several websites where a traveller can find information about hotels. These websites give an idea about the quality of the hotel in several aspects based on customer opinion. Although helpful, these websites do not offer visualizations in order to actually give a clear insight on available data. It does not really support travellers' decision because the information is generally showed as a text list, with or without some monochromatic symbol, not allowing any kind of interaction or taking into account relevant cognitive aspects. This article proposes a new visual interface for the booking and hotel sector, considering the customers' online opinion as its main input data.
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Walsh, Kieran, Mircea A. Voineagu, Fatemeh Vafaee, and Irina Voineagu. "TDAview: an online visualization tool for topological data analysis." Bioinformatics 36, no. 18 (July 2, 2020): 4805–9. http://dx.doi.org/10.1093/bioinformatics/btaa600.

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Abstract Summary TDAview is an online tool for topological data analysis (TDA) and visualization. It implements the Mapper algorithm for TDA and provides extensive graph visualization options. TDAview is a user-friendly tool that allows biologists and clinicians without programming knowledge to harness the power of TDA. TDAview supports an analysis and visualization mode in which a Mapper graph is constructed based on user-specified parameters, followed by graph visualization. It can also be used in a visualization only mode in which TDAview is used for visualizing the data properties of a Mapper graph generated using other open-source software. The graph visualization options allow data exploration by graphical display of metadata variable values for nodes and edges, as well as the generation of publishable figures. TDAview can handle large datasets, with tens of thousands of data points, and thus has a wide range of applications for high-dimensional data, including the construction of topology-based gene co-expression networks. Availability and implementation TDAview is a free online tool available at https://voineagulab.github.io/TDAview/. The source code, usage documentation and example data are available at TDAview GitHub repository: https://github.com/Voineagulab/TDAview.
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Estévez, Pablo A., and Cristián J. Figueroa. "Online data visualization using the neural gas network." Neural Networks 19, no. 6-7 (July 2006): 923–34. http://dx.doi.org/10.1016/j.neunet.2006.05.024.

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Archambault, Susan Gardner, Joanne Helouvry, Bonnie Strohl, and Ginger Williams. "Data visualization as a communication tool." Library Hi Tech News 32, no. 2 (April 7, 2015): 1–9. http://dx.doi.org/10.1108/lhtn-10-2014-0098.

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Purpose – This paper aims to provide a framework for thinking about meaningful data visualization in ways that can be applied to routine statistics collected by libraries. Design/methodology/approach – An overview of common data display methods is provided, with an emphasis on tables, scatter plots, line charts, bar charts, histograms, pie charts and infographics. Research on “best practices” in data visualization design is presented; also provided is a comparison of free online data visualization tools. Findings – Different data display methods are best suited for different quantitative relationships. There are rules to follow for optimal data visualization design. Ten free online data visualization tools are recommended by the authors. Originality/value – Evidence-based libraries collect and use data to affect change and to support departmental and institutional accreditation standards. Proper data visualization allows libraries to communicate their message in a more compelling and interesting way, while assisting in the understanding of complex data.
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Hannah, Matthew N. "A Conspiracy of Data: QAnon, Social Media, and Information Visualization." Social Media + Society 7, no. 3 (July 2021): 205630512110360. http://dx.doi.org/10.1177/20563051211036064.

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Seeing is believing, so goes the cliché. In our extremely online world, the particular nexus between visual information and political belief has become one of the thorniest challenges to truth. We live in an extremely visual world in which we navigate social media, search engines, platforms, interfaces, icons, memes, and smartphones. Despite the fact that we navigate visual information at an astounding rate, we have not nationally developed literacies to debunk bad information. I argue that we are witnessing a confluence between extremely online, crowd-sourced conspiracies, whose adherents possess a high capacity for online information gathering, and visualization, meant to communicate data about our world effectively and accurately through optical means which has been co-opted for information warfare. Deploying such informatics further legitimates bizarre, unhinged theories about political reality. QAnon, the extremely online conspiracy theory that has cast its shadow over the Internet, relies exclusively on information visualization to communicate its message and is symptomatic of our inability to combat misinformation that mimics the methods of data analysis and information literacy. I argue that QAnon’s success—indeed, its very existence—relies on (at least) two principal factors: (1) QAnon relies, intentionally or no, on a slippage between data and information that obscures the interventions by Q and Q’s anons in leveraging information warfare, and (2) QAnon supports such a slippage with complex and interactive visualizations of bad information, thereby accelerating apophenia, the tendency to see linkages between random events and data points.
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Fantham, Marcus, and Clemens F. Kaminski. "A new online tool for visualization of volumetric data." Nature Photonics 11, no. 2 (February 2017): 69. http://dx.doi.org/10.1038/nphoton.2016.273.

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Dissertations / Theses on the topic "Online data visualization"

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Zhao, Guangqiang. "Online Moving Object Visualization with Geo-Referenced Data." FIU Digital Commons, 2015. http://digitalcommons.fiu.edu/etd/2581.

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As a result of the rapid evolution of smart mobile devices and the wide application of satellite-based positioning devices, the moving object database (MOD) has become a hot research topic in recent years. The moving objects generate a large amount of geo-referenced data in different types, such as videos, audios, images and sensor logs. In order to better analyze and utilize the data, it is useful and necessary to visualize the data on a map. With the rise of web mapping, visualizing the moving object and geo-referenced data has never been so easy. While displaying the trajectory of a moving object is a mature technology, there is little research on visualizing both the location and data of the moving objects in a synchronized manner. This dissertation proposes a general moving object visualization model to address the above problem. This model divides the spatial data visualization systems into four categories. Another contribution of this dissertation is to provide a framework, which deals with all these visualization tasks with synchronization control in mind. This platform relies on the TerraFly web mapping system. To evaluate the universality and effectiveness of the proposed framework, this dissertation presents four visualization systems to deal with a variety of situations and different data types.
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Breakiron, Daniel Aubrey. "Evaluating the Integration of Online, Interactive Tutorials into a Data Structures and Algorithms Course." Thesis, Virginia Tech, 2013. http://hdl.handle.net/10919/23107.

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OpenDSA is a collection of open source tutorials for teaching data structures and algorithms. It was created with the goals of visualizing complex, abstract topics; increasing the amount of practice material available to students; and providing immediate feedback and incremental assessment. In this thesis, I first describe aspects of the OpenDSA architecture relevant to collecting user interaction data. I then present an analysis of the interaction log data gathered from three classes during Spring 2013. The analysis focuses on determining the time distribution of student activity, determining the time required for assignment completion, and exploring \credit-seeking" behaviors and behavior related to non-required exercises. We identified clusters of students based on when they completed exercises, verified the reliability of estimated time requirements for exercises, provided evidence that a majority of students do not read the text, discovered a measurement that could be used to identify exercises that require additional development, and found evidence that students complete exercises after obtaining credit. Furthermore, we determined that slideshow usage was fairly high (even when credit was not ordered), and skipping to the end of slideshows was more common when credit was offered but also occurred when it was not.
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Singh, Shailendra. "Smart Meters Big Data : Behavioral Analytics via Incremental Data Mining and Visualization." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35244.

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The big data framework applied to smart meters offers an exception platform for data-driven forecasting and decision making to achieve sustainable energy efficiency. Buying-in consumer confidence through respecting occupants' energy consumption behavior and preferences towards improved participation in various energy programs is imperative but difficult to obtain. The key elements for understanding and predicting household energy consumption are activities occupants perform, appliances and the times that appliances are used, and inter-appliance dependencies. This information can be extracted from the context rich big data from smart meters, although this is challenging because: (1) it is not trivial to mine complex interdependencies between appliances from multiple concurrent data streams; (2) it is difficult to derive accurate relationships between interval based events, where multiple appliance usage persist; (3) continuous generation of the energy consumption data can trigger changes in appliance associations with time and appliances. To overcome these challenges, we propose an unsupervised progressive incremental data mining technique using frequent pattern mining (appliance-appliance associations) and cluster analysis (appliance-time associations) coupled with a Bayesian network based prediction model. The proposed technique addresses the need to analyze temporal energy consumption patterns at the appliance level, which directly reflect consumers' behaviors and provide a basis for generalizing household energy models. Extensive experiments were performed on the model with real-world datasets and strong associations were discovered. The accuracy of the proposed model for predicting multiple appliances usage outperformed support vector machine during every stage while attaining accuracy of 81.65\%, 85.90\%, 89.58\% for 25\%, 50\% and 75\% of the training dataset size respectively. Moreover, accuracy results of 81.89\%, 75.88\%, 79.23\%, 74.74\%, and 72.81\% were obtained for short-term (hours), and long-term (day, week, month, and season) energy consumption forecasts, respectively.
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Techaplahetvanich, Kesaraporn. "A visualization framework for exploring correlations among atributes of a large dataset and its applications in data mining." University of Western Australia. School of Computer Science and Software Engineering, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0216.

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[Truncated abstract] Many databases in scientific and business applications have grown exponentially in size in recent years. Accessing and using databases is no longer a specialized activity as more and more ordinary users without any specialized knowledge are trying to gain information from databases. Both expert and ordinary users face significant challenges in understanding the information stored in databases. The databases are so large in most cases that it is impossible to gain useful information by inspecting data tables, which are the most common form of storing data in relational databases. Visualization has emerged as one of the most important techniques for exploring data stored in large databases. Appropriate visualization techniques can reveal trends, correlations and associations in data that are very difficult to understand from a textual representation of the data. This thesis presents several new frameworks for data visualization and visual data mining. The first technique, VisEx, is useful for visual exploration of large multi-attribute datasets and especially for exploring the correlations among the attributes in such datasets. Most previous visualization techniques can display correlations among two or three attributes at a time without excessive screen clutter. ... Although many algorithms for mining association rules have been researched extensively, they do not incorporate users in the process and most of them generate a large number of association rules. It is quite often difficult for the user to analyze a large number of rules to identify a small subset of rules that is of importance to the user. In this thesis I present a framework for the user to interactively mine association rules visually. Another challenging task in data mining is to understand the correlations among the mined association rules. It is often difficult to identify a relevant subset of association rules from a large number of mined rules. A further contribution of this thesis is a simple framework in the VisAR system that allows the user to explore a large number of association rules visually. A variety of businesses have adopted new technologies for storing large amounts of data. Analysis of historical data quite often offers new insights into business processes that may increase productivity and profit. On-line analytical processing (OLAP) has become a powerful tool for business analysts to explore historical data. Effective visualization techniques are very important for supporting OLAP technology. A new technique for the visual exploration of OLAP data cubes is also presented in this thesis.
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Ho, Si Meng. "Web visualization for performance evaluation of e-Government." Thesis, University of Macau, 2011. http://umaclib3.umac.mo/record=b2492851.

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Hult, Axel, and Chang Daniel Munguia. "Smartphone Acquisition and Online Visualization of IMU and EMG Sensor Data for Assessment of Wrist Load." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231304.

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Work-related musculoskeletal disorders constitutes a substantial burden for society, generating individual suffering and financial costs. Quantifying the musculoskeletal stress and establishing exposure-response relationships is an important step in facing this problem. Observational methods for assessing exposure in the field of ergonomics have shown poor results, and the technical measurement methods that exists are often complicated to use which limits their scope to scientific purposes. This work describes the development of a prototype measurement system aimed to simplify ambulatory measurements of musculoskeletal load, specifically aimed at the wrist and hand. Wearable sensors including Inertial Measurement Units (IMU:s) and Electromyography (EMG) were connected to a smartphone and used for measuring wrist movement and forearm muscle activity. Data sampled in the smartphone was stored online in a cloud database, and a webapplication was developed to visualize work-load exposure. Testing under controlled conditions indicated that muscular rest can be measured and classified according to suggested risk thresholds. Accurate angular measurements were difficult to implement because of lacking inter-sensor alignment in the horizontal plane, as well as uncertainties in the Bluetooth protocol. Future work should focus on the IMU:s and look to further develop a method of correcting the relative angle error, as well as investigating accurate time synchronization of the two sensors.Alternatively, deriving angular velocities directly from the IMU gyroscopes could be investigated.
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Rantzow, Gustav, and Natalia Prochownik. "Den uppkopplade enkätundersökningen : En studie av informationsvisualiseringen i Mentimeter." Thesis, Södertörns högskola, Institutionen för naturvetenskap, miljö och teknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:sh:diva-26049.

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A new phenomenon on the Internet is the online audience response. Mentimeter is a web-based tool where you can create online polls. The users can then cast a vote and the result is shown in real time. We want to test the information visualization in Mentimeter and we base our hypothesis, that a better graph design is possible, on the work of Edward Tufte and Stephen Few. Edward Tufte is an emeritus at Yale University, where he held courses in statistical evidence and information design and has created theories about how visual information should be designed. Stephen Few is a known information designer and he has based a lot of his theories on the work of Tufte. We compare Tufte and Fews design principles against the Mentimeter tool with user testing. We can see that Tufte and Fews theories still stand strong when it comes to the comparisment with Mentimeter and that a redesign of their graphs could raise the quality and the user experience of the tool. But Mentimeter is also a tool that functions the way it is supposed to.
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Lohmann, Augusto de Freitas. "Design de modelos colaborativos em sites de notícias." Universidade do Estado do Rio de Janeiro, 2012. http://www.bdtd.uerj.br/tde_busca/arquivo.php?codArquivo=5003.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
A colaboração de usuários em sites jornalísticos é um fenômeno crescente. Cada vez mais, a evolução tecnológica abre espaço para uma maior participação dos usuários no processo de construção da narrativa noticiosa. Nesse contexto, um olhar do design sobre os modelos colaborativos dos sites jornalísticos fornece subsídios para o entendimento deste fenômeno e para o aprofundamento em cada uma das etapas que compõe o processo colaborativo. Dessa forma, essa dissertação apresenta a análise teórica e prática dessas diferentes etapas, bem como das soluções de design aplicáveis aos modelos colaborativos, de maneira a estabelecer conceitos e diretrizes para a construção de modelos que otimizem o aproveitamento do conteúdo enviado por usuários e sua relação com o conteúdo editorial dos sites noticiosos.
The collaboration on news sites is a growing phenomenon. Increasingly, technological change makes room for greater involvement of users in the process of building the news narrative. In this context, a design look on the models of collaborative news sites provide insights for understanding this phenomenon and to deepen in each of the steps that make up the collaborative process. Thus, this dissertation presents the theoretical analysis and practice of these different stages, as well as design solutions applicable to collaborative models in order to establish concepts and guidelines for the construction of models that optimize the use of the content posted by users and its relationship with the editorial content of news sites.
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Olsson, Marie. "Digital learning resources for programming in higher education – a multimodal perspective." Licentiate thesis, Stockholms universitet, Institutionen för data- och systemvetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-153200.

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Digital technology is developing rapidly, and educators are currently in the process of exploring what opportunities new technology can have for learning and teaching. This applies not least to the field of education in programming, as   learning to program is a great challenge for many students. Therefore, educators and researchers have sought to find educationally effective digital learning resources to facilitate the programming learning process. In this thesis, multimodal online learning environments, providing accessible and learner-focused learning activities, and multimodal software visualizations, striving at concretizing the abstract building blocks in programming languages, were exploratory investigated. The aim was to expand the understanding of how digital learning resources can be used to support students’ understanding of basic programming concepts and dynamics. Empirical studies were conducted at the Department of Computer and Systems Sciences (DSV) at Stockholm University, Sweden. The data were collected during introductory programming courses in which the author had an active role as designer of the software visualizations, teacher and researcher. In these courses, the digital learning resources were explored as additional course resources. The research was conducted both through field experiments and case studies and data was collected using questionnaires, interviews and group discussions. Results strengthened the claims that abstract phenomena like programming can be made visible and understandable through visualization, in particular program dynamics.  When visualizations illustrated more conceptual elements, further guidance was required, to facilitate students’ interpretation and understanding. Regarding the online learning environments, guiding to the right learning pathways was the most critical factor found from the results. When adequate instructions and feedback were lacking in the learning environments, users became cognitively overloaded and disoriented. Finally, findings in all compiled studies indicate that teacher planning and orchestration of the learning situations should be conducted with more reflection.
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Knudsen, Tore. "PrivacyLamp." Thesis, Malmö högskola, Fakulteten för kultur och samhälle (KS), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-22433.

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This thesis project presents a research through design process, that has aimed to investigate and challenge internet users’ perception and awareness around the theme of online privacy and third-party trackers. This has been done by designing a critical design artifact called PrivacyLamp which takes form as a classic lamp, that through a secondary (dis)functionality is designed to work as an mediation of potential third-par- ty-trackers activity on the user’s local network. PrivacyLamp has been developed through an iterative design process, guid- ed by relevant literature and works within the eld of critical design, physical data visualization, and design for re ection, which all have worked as a foundation for the design of such an artefact. The prototype has been evaluated together with six participants, who all adopted the prototype into their domestic settings to experience it as a part of their everyday life for a few days. The aim of this qualitative study has been to investigate how a defamiliarized domestic object can work as an ambient display to question the invisible ow of connec- tivity and its complication within online privacy, as well as the narratives and experiences users develops in relation to this.
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Books on the topic "Online data visualization"

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Abraham, Ajith. Computational Social Networks: Mining and Visualization. London: Springer London, 2012.

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Ben, Schneiderman, and Smith Marc A. 1965-, eds. Analyzing social media networks with NodeXL: Insights from a connected world. Amsterdam: M. Kaufmann, 2010.

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Abraham, Ajith. Computational Social Networks: Mining and Visualization. Springer, 2012.

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Analyzing Social Media Networks with NodeXL: Insights from a Connected World. Elsevier Science & Technology, 2019.

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Petchey, Owen L., Andrew P. Beckerman, Natalie Cooper, and Dylan Z. Childs. Insights from Data with R. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198849810.001.0001.

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Knowledge of how to get useful information from data is essential in the life and environmental sciences. This book provides learners with knowledge, experience, and confidence about how to efficiently and reliably discover useful information from data. The content is developed from first- and second-year undergraduate-level courses taught by the authors. It charts the journey from question, to raw data, to clean and tidy data, to visualizations that provide insights. This journey is presented as a repeatable workflow fit for use with many types of question, study, and data. Readers discover how to use R and RStudio, and learn key concepts for drawing appropriate conclusions from patterns in data. The book focuses on providing learners with a solid foundation of skills for working with data, and for getting useful information from data summaries and visualizations. It focuses on the strength of patterns (i.e. effect sizes) and their meaning (e.g. correlation or causation). It purposefully stays away from statistical tests and p-values. Concepts covered include distribution, sample, population, mean, median, mode, variance, standard deviation, correlation, interactions, and non-independence. The journey from data to insight is illustrated by one workflow demonstration in the book, and three online. Each involves data collected in a real study. Readers can follow along by downloading the data, and learning from the descriptions of each step in the journey from the raw data to visualizations that show the answers to the questions posed in the original studies.
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Nolan, Deborah, and Sara Stoudt. Communicating with Data. Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780198862741.001.0001.

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Communicating with Data: The Art of Writing for Data Science aims to help students and researchers write about their data insights in a way that is both compelling and faithful to the data. This book aims to be both a resource for students who want to learn how to write about scientific findings both formally and for broader audiences and a textbook for instructors who are teaching science communication. In addition, a researcher who is looking for help with writing can use this book to self-train. The book consists of five parts. Part I helps the novice learn to write by reading the work of others. Part II delves into the specifics of how to describe data at a level appropriate for publication, create informative and effective visualizations, and communicate an analysis pipeline through well-written, reproducible code. Part III demonstrates how to reduce a data analysis to a compelling story and organize and write the first draft of a technical paper. Part IV addresses revision; this includes advice on writing about statistical findings in a clear and accurate way, general writing advice, and strategies for proof-reading and revising. Finally, Part V gives advice about communication strategies beyond the witten page, which includes giving talks, building a professional network, and participating in online communities. This part also contains 22 “portfolio prompts” aimed at building upon the guidance and examples in the earlier parts of the book and building a writer’s portfolio of data communication.
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Book chapters on the topic "Online data visualization"

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Viégas, Fernanda B., and Martin Wattenberg. "Artistic Data Visualization: Beyond Visual Analytics." In Online Communities and Social Computing, 182–91. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-73257-0_21.

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Sun, Tien-Lung, and Gustavo Adolfo Miranda Salgado. "Sustainable Data Collection Framework: Real-Time, Online Data Visualization." In Sustainable Design and Manufacturing 2017, 58–67. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-57078-5_6.

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Kim, Tiffany Hyun-Jin, Akira Yamada, Virgil Gligor, Jason Hong, and Adrian Perrig. "RelationGram: Tie-Strength Visualization for User-Controlled Online Identity Authentication." In Financial Cryptography and Data Security, 69–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39884-1_7.

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Kajinami, Tomoki, Takashi Makihara, and Yasufumi Takama. "Interactive Visualization System for Decision Making Support in Online Shopping." In New Frontiers in Applied Data Mining, 193–202. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00399-8_17.

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Fechner, Thore, and Christian Kray. "Presenting Citizen Engagement Opportunities Online: The Relevancy of Spatial Visualization." In Geospatial Data in a Changing World, 105–21. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33783-8_7.

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Yang, Zhuoluo, Jinguo You, Jian Wang, and Jianhua Hu. "Bizard: An Online Multi-dimensional Data Analysis Visualization Tool." In Web Technologies and Applications, 775–78. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29253-8_76.

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Leblay, Christophe, and Gilles Caporossi. "A graph theory approach to online writing data visualization." In Writing(s) at the Crossroads, 171–82. Amsterdam: John Benjamins Publishing Company, 2015. http://dx.doi.org/10.1075/z.194.09leb.

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Dewan, M. Ali Akber, Walter Moreno Pachon, and Fuhua Lin. "A Review on Visualization of Educational Data in Online Learning." In Learning Technologies and Systems, 15–24. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66906-5_2.

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Regan, John. "Europe and Its “Others”: Visualizing Lexical Relations Between Western and Non-Western Locations of the Enlightenment in The Eighteenth-Century Collections Online." In Data Visualization in Enlightenment Literature and Culture, 121–51. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-54913-8_4.

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Barreto, Adriano, Igor Moreira, Caio Flexa, Eduardo Cardoso, and Claudomiro Sales. "An Online Pyramidal Embedding Technique for High Dimensional Big Data Visualization." In Intelligent Systems, 291–306. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-61380-8_20.

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Conference papers on the topic "Online data visualization"

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Wirth, Hannah S., and Neil Winn. "COASTAL TOPOGRAPHY DATA ANALYSIS AND VISUALIZATION AT ASSATEAGUE ISLAND NATIONAL SEASHORE." In GSA 2020 Connects Online. Geological Society of America, 2020. http://dx.doi.org/10.1130/abs/2020am-359996.

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Lu, Yun, Mingjin Zhang, Tao Li, Yudong Guang, and Naphtali Rishe. "Online spatial data analysis and visualization system." In KDD' 13: The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York, NY, USA: ACM, 2013. http://dx.doi.org/10.1145/2501511.2501522.

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Resheff, Yehezkel S. "Online trajectory segmentation and summary with applications to visualization and retrieval." In 2016 IEEE International Conference on Big Data (Big Data). IEEE, 2016. http://dx.doi.org/10.1109/bigdata.2016.7840801.

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Conglei Shi, Siwei Fu, Qing Chen, and Huamin Qu. "VisMOOC: Visualizing video clickstream data from Massive Open Online Courses." In 2015 IEEE Pacific Visualization Symposium (PacificVis). IEEE, 2015. http://dx.doi.org/10.1109/pacificvis.2015.7156373.

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Baumberger, Roland, Nils Oesterling, and Andreas Möri. "TACKLING THE CHALLENGE - INCREASING SOCIETAL BENEFITS THROUGH OPEN-SOURCE 3D VISUALIZATION OF SUBSURFACE DATA." In GSA 2020 Connects Online. Geological Society of America, 2020. http://dx.doi.org/10.1130/abs/2020am-353186.

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Alasmari, Hanan. "Sentimental Visualization: Semantic Analysis of Online Product Reviews Using Python and Tableau." In 2020 IEEE International Conference on Big Data (Big Data). IEEE, 2020. http://dx.doi.org/10.1109/bigdata50022.2020.9391769.

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Ling Huang. "Visual analysis on online display advertising data." In 2013 IEEE Symposium on Large-Scale Data Analysis and Visualization (LDAV). IEEE, 2013. http://dx.doi.org/10.1109/ldav.2013.6675170.

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Sun, Min, Zhipeng Wang, Dan Yin, and Huan Wu. "A spatial data generalization method for online vector data 3D visualization." In Geoinformatics 2007, edited by Manchun Li and Jiechen Wang. SPIE, 2007. http://dx.doi.org/10.1117/12.759688.

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Leiner, Richard. "Research solar power boat - data management and online visualization." In AFRICON 2007. IEEE, 2007. http://dx.doi.org/10.1109/afrcon.2007.4401548.

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Shidong, Yu, Yang Dongsheng, Feng Xue, and Lian Mengjia. "Visualization Analysis of Multidimensional Data for Online Transaction Log." In 2019 12th International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2019. http://dx.doi.org/10.1109/icicta49267.2019.00063.

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Reports on the topic "Online data visualization"

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Appleyard, Bruce, Jonathan Stanton, and Chris Allen. Toward a Guide for Smart Mobility Corridors: Frameworks and Tools for Measuring, Understanding, and Realizing Transportation Land Use Coordination. Mineta Transportation Institue, December 2020. http://dx.doi.org/10.31979/mti.2020.1805.

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Abstract:
The coordination of transportation and land use (also known as “smart growth”) has been a long-standing goal for planning and engineering professionals, but to this day it remains an elusive concept to realize. Leaving us with this central question -- how can we best achieve transportation and land use coordination at the corridor level? In response, this report provides a review of literature and practice related to sustainability, livability, and equity (SLE) with a focus on corridor-level planning. Using Caltrans’ Corridor Planning Process Guide and Smart Mobility Framework as guideposts, this report also reviews various principles, performance measures, and place typology frameworks, along with current mapping and planning support tools (PSTs). The aim being to serve as a guidebook that agency staff can use for reference, synergizing planning insights from various data sources that had not previously been brought together in a practical frame. With this knowledge and understanding, a key section provides a discussion of tools and metrics and how they can be used in corridor planning. For illustration purposes, this report uses the Smart Mobility Calculator (https://smartmobilitycalculator. netlify.app/), a novel online tool designed to make key data easily available for all stakeholders to make better decisions. For more information on this tool, see https://transweb.sjsu.edu/research/1899-Smart-Growth-Equity-Framework-Tool. The Smart Mobility Calculator is unique in that it incorporates statewide datasets on urban quality and livability which are then communicated through a straightforward visualization planners can readily use. Core sections of this report cover the framework and concepts upon which the Smart Mobility Calculator is built and provides examples of its functionality and implementation capabilities. The Calculator is designed to complement policies to help a variety of agencies (MPOs, DOTs, and local land use authorities) achieve coordination and balance between transportation and land use at the corridor level.
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