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Artykuły w czasopismach na temat „Data Visualisation”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 25 lipca 2025

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Garrote, Antonio, and María N. Moreno García. "LinkedVis an Information Visualisation Toolkit for RDF Data." International Journal on Semantic Web and Information Systems 9, no. 4 (2013): 1–16. http://dx.doi.org/10.4018/ijswis.2013100101.

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LinkedVis implements a JavaScript and SVG data visualisation toolkit that can be used to generate a wide range of interactive information visualisations from RDF graphs using a grammar of graphics style syntax extended with operations for structural transformation of the RDF data graph. Additionally, LinkedVis visualisations make it possible to embed meta-data about the visualisation and the way different graphic components from the visualisation are related to the original RDF data. Insertion of meta-data transforms the visualisation into a self-describing piece of information that can be pro

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Meier, Sebastian, and Katrin Glinka. "The Individual in the Data — the Aspect of Personal Relevance in Designing Casual Data Visualisations." i-com 16, no. 3 (2017): 247–65. http://dx.doi.org/10.1515/icom-2017-0025.

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AbstractOver the last two decades, data visualisation has diffused into the broader realm of mass communication. Before this shift, tools and displays of data-driven geographic- and information visualisation were mostly used in expert contexts. By now, they are also used in casual contexts, for example on newspaper websites, government data portals and many other public outlets. This diversification of the audience poses new challenges within the visualisation community. In this paper we propose personal relevance as one factor to be taken into account when designing casual data visualisations

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Nash, Kathryn, Verity Trott, and William Allen. "The politics of data visualisation and policy making." Convergence: The International Journal of Research into New Media Technologies 28, no. 1 (2022): 3–12. http://dx.doi.org/10.1177/13548565221079156.

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Data visualisation has become ubiquitous in everyday life, from seeing images in news media to tracking individual health indicators. While the effects of data visualisation on society and people have been explored within a range of literature, there has been far less attention paid to the interconnectedness of data visualisation and policy making. In this special issue, we explore how data visualisation matters for policy priorities, processes and outcomes; how it reflects the demands and constraints posed by specific policy problems; and finally, what data visualisations reveal about broader

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Allen, William L. "Visual brokerage: Communicating data and research through visualisation." Public Understanding of Science 27, no. 8 (2018): 906–22. http://dx.doi.org/10.1177/0963662518756853.

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Researchers increasingly use visualisation to make sense of their data and communicate findings more widely. But these are not necessarily straightforward processes. Theories of knowledge brokerage show how sociopolitical contexts and intermediary organisations that translate research for public audiences shape how users engage with evidence. Applying these ideas to data visualisation, I argue that several kinds of brokers (such as data collectors, designers and intermediaries) link researchers and audiences, contributing to the ways that people engage with visualisations. To do this, I draw o

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Hill, Rosemary Lucy. "The political potential of numbers: data visualisation in the abortion debate." Kvinder, Køn & Forskning, no. 1 (September 5, 2017): 83–96. http://dx.doi.org/10.7146/kkf.v26i1.109789.

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Data visualisation has been argued to have the power to ‘change the world’, implicitly for the better, but when it comes to abortion, both sides make moral claims to ‘good’. Visualisation conventions of clean lines and shapes simplify data, lending them a rhetoric of neutrality, as if the data is the whole story. It is imperative, therefore, to examine how data visualisations are used to shape women’s lives. This article draws on the findings of the Persuasive Data project . Google Image Scraper was used to locate abortion-related visualisations circulating online. The images, their web locati

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Kirsten, Marnell, Marina Joubert, Ionica Smeets, and Winnifred Wijnker. "Off the charts: A comparative analysis of data visualisations in online science news from South Africa and the USA." PLOS ONE 20, no. 2 (2025): e0316194. https://doi.org/10.1371/journal.pone.0316194.

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Terms like ‘big data’, ‘data science’, and ‘data visualisation’ have become buzzwords in recent years and are increasingly intertwined with journalism. Data visualisation may further blur the lines between science communication and graphic design. Our study is situated in these overlaps to compare the design of data visualisations in science news stories across four online news media platforms in South Africa and the United States. Our study contributes to an understanding of how well-considered data visualisations are tools for effective storytelling, and offers practical recommendations for

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ROHIT, SINGH, Kumar Pandya Nitin, Kruti Sutariya Dr., and Amit Barve Dr. "AlgoPedia." International Journal of Innovative Science and Research Technology 8, no. 3 (2023): 1466–85. https://doi.org/10.5281/zenodo.7789144.

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Data visualisation entails presenting information in a graphical or pictorial format that is easy to understand. It aids in the explanation of facts and the formulation of action plans. It will be useful in any field of study that requires novel approaches to presenting large amounts of complex information. The introduction of computer graphics shaped modern visualisation. This paper provides an overview of data visualisation. Data visualisation, information visualisation, scientific visualisation, and big data are all keywords. Information visualisation and scientific visualisation are other

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Donohoe, David, and Eamon Costello. "Data Visualisation Literacy in Higher Education: An Exploratory Study of Understanding of a Learning Dashboard Tool." International Journal of Emerging Technologies in Learning (iJET) 15, no. 17 (2020): 115. http://dx.doi.org/10.3991/ijet.v15i17.15041.

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The visualisation of data has become ubiquitous. Visualisations are used to represent data in a way that is easy to understand and useful in our lives. Each data visualisation needs to be suitable to extract the correct information to complete a task and make an informed decision while minimising the impact of biases. To achieve this, the ability to create and read visualisations has become as important as the ability to read and write. Therefore, the Information Visualisation community is applying more attention to literacy and decision making in data vis-ualisations. Until recently, research

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Sibolla, B. H., T. Van Zyl, and S. Coetzee. "TOWARDS THE DEVELOPMENT OF A TAXONOMY FOR VISUALISATION OF STREAMED GEOSPATIAL DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-2 (June 2, 2016): 129–36. http://dx.doi.org/10.5194/isprsannals-iii-2-129-2016.

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Geospatial data has very specific characteristics that need to be carefully captured in its visualisation, in order for the user and the viewer to gain knowledge from it. The science of visualisation has gained much traction over the last decade as a response to various visualisation challenges. During the development of an open source based, dynamic two-dimensional visualisation library, that caters for geospatial streaming data, it was found necessary to conduct a review of existing geospatial visualisation taxonomies. The review was done in order to inform the design phase of the library de

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Sibolla, B. H., T. Van Zyl, and S. Coetzee. "TOWARDS THE DEVELOPMENT OF A TAXONOMY FOR VISUALISATION OF STREAMED GEOSPATIAL DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-2 (June 2, 2016): 129–36. http://dx.doi.org/10.5194/isprs-annals-iii-2-129-2016.

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Geospatial data has very specific characteristics that need to be carefully captured in its visualisation, in order for the user and the viewer to gain knowledge from it. The science of visualisation has gained much traction over the last decade as a response to various visualisation challenges. During the development of an open source based, dynamic two-dimensional visualisation library, that caters for geospatial streaming data, it was found necessary to conduct a review of existing geospatial visualisation taxonomies. The review was done in order to inform the design phase of the library de

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Fileborn, Bianca, and Verity Trott. "“It ain’t a compliment”: Feminist data visualisation and digital street harassment advocacy." Convergence: The International Journal of Research into New Media Technologies 28, no. 1 (2021): 127–49. http://dx.doi.org/10.1177/13548565211045536.

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In an era of datafication, data visualisation is playing an increasing role in civic meaning-making processes. However, the conventions of data visualisation have been criticised for their reductiveness and rhetoric of neutrality and there have been recent efforts to develop feminist principles for designing data visualisations that are compatible with feminist epistemologies. In this article, we aim to examine how data visualisation is used in feminist activism and by feminist activists. Drawing on the example of digital street harassment activism, we analyse how street harassment is visualis

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Kavaz, Ecem, Anna Puig, and Inmaculada Rodríguez. "Chatbot-Based Natural Language Interfaces for Data Visualisation: A Scoping Review." Applied Sciences 13, no. 12 (2023): 7025. http://dx.doi.org/10.3390/app13127025.

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Rapid growth in the generation of data from various sources has made data visualisation a valuable tool for analysing data. However, visual analysis can be a challenging task, not only due to intricate dashboards but also when dealing with complex and multidimensional data. In this context, advances in Natural Language Processing technologies have led to the development of Visualisation-oriented Natural Language Interfaces (V-NLIs). In this paper, we carry out a scoping review that analyses synergies between the fields of Data Visualisation and Natural Language Interaction. Specifically, we fo

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Cuthbert, Carol E., and Noel J. Pearse. "Strategic Data Pattern Visualisation." Journal of Systemics, Cybernetics and Informatics 20, no. 1 (2022): 122–41. http://dx.doi.org/10.54808/jsci.20.01.122.

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Data visualisation reveals patterns and provides insights that lead to actions from management, thereby playing a mediating role in the relationship between the internal resources of a firm and its financial performance. In this chapter, contingent resource-based theory is applied to the analysis of big data, treating its visualisation as a mode of interdisciplinary communication. In service industries in general and the legal industry in particular, big data analytics (BDA) is emerging as a decision-making tool for management to achieve competitive advantage. Traditionally, data scientists ha

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Engebretsen, Martin. "From Decoding a Graph to Processing a Multimodal Message." Nordicom Review 41, no. 1 (2020): 33–50. http://dx.doi.org/10.2478/nor-2020-0004.

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AbstractData visualisation – in the forms of graphs, charts, and maps – represents a text type growing in prevalence and impact in many cultural domains; education, journalism, business, PR, and more. Research on data visualisation reception is scarce, particularly that related to interactive and dynamic forms of data visualisation in digital media. Taking an approach inspired by grounded theory, in this article I investigate the ways in which young students interact with data visualisations found in digital news media. Combining observations from reading sessions with ten in-depth interviews,

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Hadley, Martin John, and Howard Noble. "Promoting Interactive Visualisation at University of Oxford: The Live Data Network." International Journal of Digital Curation 11, no. 1 (2016): 172. http://dx.doi.org/10.2218/ijdc.v11i1.418.

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This article introduces the Live Data project funded by the Research IT Board of the University of Oxfordâ€™s IT Services department. The primary aim of the project is to support academics in creating interactive visualisations using a variety of cloud-based visualisation services, which the academic can freely embed within academic journals, blogs and personal websites through the use of iframes. To achieve this the project has been funded from October 2015 to March 2017 to recruit visualisation case studies from across the University and to develop software agnostic workflows for the creatio

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Nie, Shiyou. "Review on Data Visualisation Techniques." Applied and Computational Engineering 99, no. 1 (2024): 180–85. http://dx.doi.org/10.54254/2755-2721/99/20251765.

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The ascendancy of data visualization methodologies has rendered these instruments indispensable for contemporary decision-making processes within the epoch of exponential data proliferation. This review takes an in-depth look at various data visualisation techniques, providing an in-depth analysis of their applications, advantages and disadvantages. Data visualisation is an important tool for transforming large and complex datasets into intuitive graphical representations, enabling users to discover patterns, correlations and actionable insights more effectively. This review encompasses founda

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Pereira, Arnaldo, João Rafael Almeida, Rui Pedro Lopes, and José Luís Oliveira. "Semantic Data Visualisation for Biomedical Database Catalogues." Healthcare 10, no. 11 (2022): 2287. http://dx.doi.org/10.3390/healthcare10112287.

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Biomedical databases often have restricted access policies and governance rules. Thus, an adequate description of their content is essential for researchers who wish to use them for medical research. A strategy for publishing information without disclosing patient-level data is through database fingerprinting and aggregate characterisations. However, this information is still presented in a format that makes it challenging to search, analyse, and decide on the best databases for a domain of study. Several strategies allow one to visualise and compare the characteristics of multiple biomedical

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Idrissov, Agzam, Simon Rapp, Albert Albers, and Anja M. Maier. "DEVELOPING SYSTEMS VISUALISATIONS IN DESIGN THROUGH A TYPOLOGY OF VISUAL TASKS: A MECHATRONIC CASE." Proceedings of the Design Society 1 (July 27, 2021): 1213–22. http://dx.doi.org/10.1017/pds.2021.121.

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AbstractVisual representations are essential to design. Data-rich representations such as systems visualisations are gaining prominence in engineering practice. However, as such visualisations are often developed ad-hoc, we propose more systematically to link visual tasks with design-specific tasks for which the visualisations are used. Whereas research on such linking focuses mostly on CAD models and sketches, no such studies are yet available for systems visualisations. Thus, this paper introduces a typology of visual tasks from the Information Visualisation field to aid the development of s

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Wilhelm, Adalbert, and Susan VanderPlas. "Visual Narratives of the Covid-19 pandemic." Journal of Data Science, Statistics, and Visualisation 2, no. 7 (2022): 84–113. http://dx.doi.org/10.52933/jdssv.v2i7.64.

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    Covid-19 has sparked a worldwide interest in understanding the dynamic evo- lution of a pandemic and tracking the effectiveness of preventive measures and rules. For this reason, numerous media and research groups have produced com- prehensive data visualisations to illustrate the relevant trends and figures. In this paper, we will look at a selection of Covid 19 data visualisations to evaluate and discuss the currently established visualisation tools in terms of their ability to provide a communication channel both within the data science team and between data anal

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Allen, William. "Making corpus data visible: visualising text with research intermediaries." Corpora 12, no. 3 (2017): 459–82. http://dx.doi.org/10.3366/cor.2017.0128.

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Researchers using corpora can visualise their data and analyses using a growing number of tools. Visualisations are especially valuable in environments where researchers communicate and work with public-facing partners under the auspices of ‘knowledge exchange’ or ‘impact’, and corpus data are more available thanks to digital methods. However, although the field of corpus linguistics continues to generate its own range of techniques, it largely remains orientated towards finding ways for academics to communicate results directly with other academics rather than with or through groups outside u

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Wyatt, Ryan. "Visualising Astronomy: Visualising Exoplanet Data." Communicating Astronomy with the Public Journal 5, no. 1 (2011): 32–33. https://doi.org/10.5281/zenodo.14890695.

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Oosterloo, Tom. "Visualisation of Radio Data." Publications of the Astronomical Society of Australia 12, no. 2 (1995): 215–18. http://dx.doi.org/10.1017/s1323358000020294.

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AbstractRadio astronomy software has not quite kept up with recent developments for the display of, and interaction with, data. At the Australia Telescope National Facility we are trying to catch up by investigating how useful visualisation techniques and approaches like visual computing are for the reduction of radio data. I will discuss a few techniques that we have applied to radio data and comment briefly on their merits.

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Kubrak, Kateryna, Fredrik Milani, and Alexander Nolte. "A visual approach to support process analysts in working with process improvement opportunities." Business Process Management Journal 29, no. 8 (2023): 101–32. http://dx.doi.org/10.1108/bpmj-10-2021-0631.

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PurposeWhen improving business processes, process analysts can use data-driven methods, such as process mining, to identify improvement opportunities. However, despite being supported by data, process analysts decide which changes to implement. Analysts often use process visualisations to assess and determine which changes to pursue. This paper helps explore how process mining visualisations can aid process analysts in their work to identify, prioritise and communicate business process improvement opportunities.Design/methodology/approachThe study follows the design science methodology to crea

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Graham, Martin, and Jessie Kennedy. "A Survey of Multiple Tree Visualisation." Information Visualization 9, no. 4 (2009): 235–52. http://dx.doi.org/10.1057/ivs.2009.29.

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This article summarises the current state of research into multiple tree visualisations. It discusses the spectrum of current representation techniques used on single trees, pairs of trees and finally multiple trees, in order to identify which representations are best suited to particular tasks and to find gaps in the representation space, in which opportunities for future multiple tree visualisation research may exist. The application areas from where multiple tree data are derived are enumerated, and the distinct structures that multiple trees make in combination with each other and the effe

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Bohak, Ciril, Matej Slemenik, Jaka Kordež, and Matija Marolt. "Aerial LiDAR Data Augmentation for Direct Point-Cloud Visualisation." Sensors 20, no. 7 (2020): 2089. http://dx.doi.org/10.3390/s20072089.

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Direct point-cloud visualisation is a common approach for visualising large datasets of aerial terrain LiDAR scans. However, because of the limitations of the acquisition technique, such visualisations often lack the desired visual appeal and quality, mostly because certain types of objects are incomplete or entirely missing (e.g., missing water surfaces, missing building walls and missing parts of the terrain). To improve the quality of direct LiDAR point-cloud rendering, we present a point-cloud processing pipeline that uses data fusion to augment the data with additional points on water sur

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Bayliss, Richard. "ARCHAEOLOGICAL SURVEY AND VISUALISATION: THE VIEW FROM BYZANTIUM." Late Antique Archaeology 1, no. 1 (2003): 26–313. http://dx.doi.org/10.1163/22134522-90000012.

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This paper will explore the relationship between the methodologies used in archaeology for recording buildings and landscapes and the development of computer visualisation technology, with specific reference to late antique and Byzantine archaeology. The principal aim is to highlight the applicability of visualisation technologies as the critical solutions to the presentation and investigation of survey data and reciprocally to demonstrate that meaningful computer visualisations benefit from a secure underpinning of archaeological survey data. My intention is to show that computer visualisatio

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Heinrich, Falk. "(Big) Data, Diagram Aesthetics and the Question concerning Beauty." MedieKultur: Journal of media and communication research 31, no. 59 (2016): 20. http://dx.doi.org/10.7146/mediekultur.v31i59.20084.

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<p class="falk1">The article investigates whether and in which way artistic artefacts deploying big data can be experienced as beautiful. The question is relevant, because the sentiment of beauty indicates besides an immediate sensory valuation also changes in cultural values and epistemic frameworks. The article focuses on artistic data visualisations. It applies concepts of philosophical aesthetics in order to trace an altered notion of beauty and its artistic and cultural implications.</p><p class="falk1">The article’s introductory part presents some examples of data visua

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Schmidt, Breon, Marek Cmero, Paul Ekert, Nadia Davidson, and Alicia Oshlack. "Slinker: Visualising novel splicing events in RNA-Seq data." F1000Research 10 (December 7, 2021): 1255. http://dx.doi.org/10.12688/f1000research.74836.1.

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Visualisation of the transcriptome relative to a reference genome is fraught with sparsity. This is due to RNA sequencing (RNA-Seq) reads being predominantly mapped to exons that account for just under 3% of the human genome. Recently, we have used exon-only references, superTranscripts, to improve visualisation of aligned RNA-Seq data through the omission of supposedly unexpressed regions such as introns. However, variation within these regions can lead to novel splicing events that may drive a pathogenic phenotype. In these cases, the loss of information in only retaining annotated exons pre

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Guo, S., C. Jing, H. Zhang, X. Lv, and W. Li. "SMART CAMPUS ELECTRICITY DATA VISUAL ANALYSIS SYSTEM." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2022 (June 2, 2022): 447–53. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2022-447-2022.

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Abstract. Smart grid is the basic support of smart city development. The application of visual analytics to electricity system helps monitor and analyse the characteristic information in electricity data, which provides a strong guarantee for mastering the operation status of electricity system and achieving effective energy planning. However, as the complexity and size of electricity data continues to grow, it increases the burden on electricity workers to understand and analyse the electricity consumption situation. In response to these problems, a new type of electricity data visualisation

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Joseph, Pauline, Aaron Justin Kent, Peter Damian Green, Matthew Robinson, and Amanda Bellenger. "Analysis of EZproxy server logs to visualise research activity in Curtin’s online library." Library Hi Tech 37, no. 4 (2019): 845–65. http://dx.doi.org/10.1108/lht-04-2018-0050.

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Purpose The purpose of this paper is to develop data visualisation proof of concept prototypes that will enable the Curtin University Library team to explore its users’ information-seeking behaviour and collection use online by analysing the library’s EZproxy logs. Design/methodology/approach Curtin Library’s EZproxy log file data from 2013 to 2017 is used to develop the data visualisation prototypes using Unity3D software. Findings Two visualisation prototypes from the EZproxy data set are developed. The first, “Global Visualisation of Curtin Research Activity”, uses a geographical map of the

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Roberts, Jonathan C., Peter W. S. Butcher, and Panagiotis D. Ritsos. "One View Is Not Enough: Review of and Encouragement for Multiple and Alternative Representations in 3D and Immersive Visualisation." Computers 11, no. 2 (2022): 20. http://dx.doi.org/10.3390/computers11020020.

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The opportunities for 3D visualisations are huge. People can be immersed inside their data, interface with it in natural ways, and see it in ways that are not possible on a traditional desktop screen. Indeed, 3D visualisations, especially those that are immersed inside head-mounted displays are becoming popular. Much of this growth is driven by the availability, popularity and falling cost of head-mounted displays and other immersive technologies. However, there are also challenges. For example, data visualisation objects can be obscured, important facets missed (perhaps behind the viewer), an

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ten Bosch, Olav, and Edwin de Jonge. "Visualising official statistics." Statistical Journal of the IAOS: Journal of the International Association for Official Statistics 25, no. 3-4 (2008): 103–16. https://doi.org/10.3233/sji-2008-00690.

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Data are everywhere: on the internet, in newspapers, in computer games, at school, at work and on TV. Data are essential to our daily information needs and people are increasingly becoming used to reading and interpreting data. Companies use advanced technologies to present their data in fancy and visually attractive ways. Animated and interactive graphs, mapping tools, charting components are now common techniques, and many examples of attractive and well-designed data visualisation are to be found on the internet in particular. Many of these concepts can be used to visualise official statist

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Wang, Yao, Yue Jiang, Zhiming Hu, Constantin Ruhdorfer, Mihai Bâce, and Andreas Bulling. "VisRecall++: Analysing and Predicting Visualisation Recallability from Gaze Behaviour." Proceedings of the ACM on Human-Computer Interaction 8, ETRA (2024): 1–18. http://dx.doi.org/10.1145/3655613.

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Question answering has recently been proposed as a promising means to assess the recallability of information visualisations. However, prior works are yet to study the link between visually encoding a visualisation in memory and recall performance. To fill this gap, we propose VisRecall++ -- a novel 40-participant recallability dataset that contains gaze data on 200 visualisations and 1,000 questions, including identifying the title and retrieving values. We measured recallability by asking participants questions after they observed the visualisation for 10 seconds. Our analyses reveal several

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Upchurch, Michael. "He Iwi Ru | Quake Nation: effective interactive data visualisation in the museum." Tuhinga 32 (July 1, 2021): 135–51. https://doi.org/10.3897/tuhinga.32.e34268.

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This paper looks at He Iwi Rū | Quake Nation, an interactive visualisation in the Museum of New Zealand Te Papa Tongarewa, as a case study for the practical application of interactive data visualisation in the museum space. It explores how the considerations that affect the concept and design development can impact the visitor, and vice versa (i.e. how considering the audiences can affect the exhibition development process); what the production, control and use of interactive data visualisations tell us about museum interpretation and the visitor as meaning maker; and how the general principle

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Marta, Terrado, Calvo Luz, and Christel Isadora. "Towards more effective visualisations in climate services: good practices and recommendations." Climatic Change 172 (May 28, 2022): 18. https://doi.org/10.1007/s10584-022-03365-4.

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Visualisations are often the entry point to information that supports stakeholders' decision- and policy-making processes. Visual displays can employ either static, dynamic or interactive formats as well as various types of representations and visual encodings, which differently affect the attention, recognition and working memory of users. Despite being well-suited for expert audiences, current climate data visualisations need to be further improved to make communication of climate information more inclusive for broader audiences, including people with disabilities. However, the lack of evide

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Shamihah, Muhammad Ghazali, Shaadan Norshahida, and Idrus Zainura. "Missing data exploration in air quality data set using R-package data visualisation tools." Bulletin of Electrical Engineering and Informatics 9, no. 2 (2020): 755–63. https://doi.org/10.11591/eei.v9i2.2088.

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Missing values often occur in many data sets of various research areas. This has been recognized as data quality problem because missing values could affect the performance of analysis results. To overcome the problem, the incomplete data set needs to be treated using imputation method. Thus, exploring missing values pattern must be conducted beforehand to determine a suitable method. This paper discusses on the application of data visualisation as a smart technique for missing data exploration aiming to increase understanding on missing data behaviour which include missing data mechanism (MCA

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Dadzie, Aba-Sah, and Emmanuel Pietriga. "Visualisation of Linked Data – Reprise." Semantic Web 8, no. 1 (2016): 1–21. http://dx.doi.org/10.3233/sw-160249.

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Horky, Thomas, and Philipp Pelka. "Data Visualisation in Sports Journalism." Digital Journalism 5, no. 5 (2016): 587–606. http://dx.doi.org/10.1080/21670811.2016.1254053.

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Gardner, S., N. J. Le Roux, and C. Aldrich. "Process data visualisation with biplots." Minerals Engineering 18, no. 9 (2005): 955–68. http://dx.doi.org/10.1016/j.mineng.2004.12.010.

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Bödeker, Bertram, Wolfgang Vautz, and Jörg Ingo Baumbach. "Visualisation of MCC/IMS-data." International Journal for Ion Mobility Spectrometry 11, no. 1-4 (2008): 77–81. http://dx.doi.org/10.1007/s12127-008-0011-8.

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Macer, Tim. "Data Visualisation in Market Research." Research World 2014, no. 47 (2014): 10–19. http://dx.doi.org/10.1002/rwm3.20123.

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Ruddle, Roy A., Muhammad Adnan, and Marlous Hall. "Using set visualisation to find and explain patterns of missing values: a case study with NHS hospital episode statistics data." BMJ Open 12, no. 11 (2022): e064887. http://dx.doi.org/10.1136/bmjopen-2022-064887.

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ObjectivesMissing data is the most common data quality issue in electronic health records (EHRs). Missing data checks implemented in common analytical software are typically limited to counting the number of missing values in individual fields, but researchers and organisations also need to understand multifield missing data patterns to better inform advanced missing data strategies for which counts or numerical summaries are poorly suited. This study shows how set-based visualisation enables multifield missing data patterns to be discovered and investigated.DesignDevelopment and evaluation of

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Johansson, Veronica, and Jörgen Stenlund. "Making time/breaking time: critical literacy and politics of time in data visualisation." Journal of Documentation 78, no. 1 (2021): 60–82. http://dx.doi.org/10.1108/jd-12-2020-0210.

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PurposeRepresentations of time are commonly used to construct narratives in visualisations of data. However, since time is a value-laden concept, and no representation can provide a full, objective account of “temporal reality”, they are also biased and political: reproducing and reinforcing certain views and values at the expense of alternative ones. This conceptual paper aims to explore expressions of temporal bias and politics in data visualisation, along with possibly mitigating user approaches and design strategies.Design/methodology/approachThis study presents a theoretical framework roo

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Kin Keong, Lee, and Jolaina M. Nasseri. "Affective Generative Visuals Based on Data Input Influenced by User’s Emotions." International Journal of Arts, Culture & Heritage (iJACH) 11 (2024): 126–46. http://dx.doi.org/10.62312/asw.ijach.11.7.2024.

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Generative art, a subdomain of new media art focuses on an autonomous system created by the artist. Personal data in the digital environment are becoming increasingly valuable, especially within the globalising environment which is the key development of organisations. However, the data visualisation of personal data is being consumed by global industries and not merely the data provider itself. The shift in consumption needs to be further explored to allow data providers to have emotional valuation and visualisation of their personal well-being in a digital environment. This research addresse

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Essam, Rasha. "Data Visualisation: Visualise your data by connecting to the universe." Networked Learning Conference 12 (August 16, 2024): 394–98. http://dx.doi.org/10.54337/nlc.v12.8704.

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Workshop Description Data visualisation examples will be presented for asking participants to interpret and draw conclusions from. The advantages of data visualisation will be highlighted. A comparison between good and bad data visualization will be highlighted. Participants can bring their own data to work with, and/or they can work with the presenter’s data in order to analyse and represent data in a visual format. All participants need to bring with them their laptops and have Microsoft PowerPoint installed on it.

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Roberts, Richard, and Robert Laramee. "Visualising Business Data: A Survey." Information 9, no. 11 (2018): 285. http://dx.doi.org/10.3390/info9110285.

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A rapidly increasing number of businesses rely on visualisation solutions for their data management challenges. This demand stems from an industry-wide shift towards data-driven approaches to decision making and problem-solving. However, there is an overwhelming mass of heterogeneous data collected as a result. The analysis of these data become a critical and challenging part of the business process. Employing visual analysis increases data comprehension thus enabling a wider range of users to interpret the underlying behaviour, as opposed to skilled but expensive data analysts. Widening the r

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Krause, Andreas, and Nicola Rennie. "Presenting data the Significance way - Part 3." Significance 21, no. 5 (2024): 26–30. http://dx.doi.org/10.1093/jrssig/qmae076.

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Abstract The latest instalment of our data visualisation guide, created by Andreas Krause and Nicola Rennie for Significance and our sister platform Real World Data Science, offers authors a complete guide to creating the best data visualisation for the needs of both their article and Significance magazine

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Martin, Kieran, and Martin Ralphs. "Using kernel methods to visualise crime data." Statistical Journal of the IAOS: Journal of the International Association for Official Statistics 30, no. 3 (2014): 177–83. https://doi.org/10.3233/sji-140824.

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Kernel smoothing methods can be used to visualise complex point event data that are distributed geographically. The visualisations generated by these methods allow users to observe trends in the data which may not be apparent from numerical summaries or by visualising the point data themselves. Crime data in the UK has recently been made available to the public for the smallest postal delivery areas in the country (postcodes). Visualisations of the number of recorded events at each postcode for a given area are provided online. In this paper we apply some widely used kernel smoothing methods t

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Gastner, Michael T. "Podučavanje vizualizacije podataka i osnovnih vještina izrade karata na Liberal Arts Collegeu." Kartografija i geoinformacije 22, no. 39 (2023): 42–60. http://dx.doi.org/10.32909/kg.22.39.3.

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Communicating data has become vital in an increasingly data-dependent society. Because data are often communicated graphically, many colleges and universities are offering courses that teach the principles of data visualisation. In this article, the author reflects on his experience of teaching such a course at a liberal arts college. The course introduced students to the tidyverse suite of packages for the programming language R, including the data visualisation package ggplot2, which implements Wilkinson’s (2005) ‘grammar of graphics’. The packages sf and tmap were used to extend the capabil

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Venkatraman, Sitalakshmi, and Mamoun Alazab. "Use of Data Visualisation for Zero-Day Malware Detection." Security and Communication Networks 2018 (December 2, 2018): 1–13. http://dx.doi.org/10.1155/2018/1728303.

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With the explosion of Internet of Things (IoT) worldwide, there is an increasing threat from malicious software (malware) attackers that calls for efficient monitoring of vulnerable systems. Large amounts of data collected from computer networks, servers, and mobile devices need to be analysed for malware proliferation. Effective analysis methods are needed to match with the scale and complexity of such a data-intensive environment. In today’s Big Data contexts, visualisation techniques can support malware analysts going through the time-consuming process of analysing suspicious activities tho

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