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Journal articles on the topic 'Statistical visualisation'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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1

SUTHERLAND, SINCLAIR, and JIM RIDGWAY. "INTERACTIVE VISUALISATIONS AND STATISTICAL LITERACY." STATISTICS EDUCATION RESEARCH JOURNAL 16, no. 1 (2017): 26–30. http://dx.doi.org/10.52041/serj.v16i1.210.

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Statistical literacy involves engagement with the data one encounters. New forms of data and new ways to engage with data – notably via interactive data visualisations – are emerging. Some of the skills required to work effectively with these new visualisation tools are described. We argue that interactive data visualisations will have as profound an effect on statistical literacy as the introduction of statistics packages had on statistics in social science in the 1960s. Current conceptualisations of statistical literacy are too passive, lacking the exploration part in data analysis. Statisti

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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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Singh, Arpita, Basar Imam Mazhari, and Karan Gupta. "Stock Market Prediction and Visualisation." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 4460–67. http://dx.doi.org/10.22214/ijraset.2024.61019.

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Abstract: Stock price forecasting is a widely discussed and significant topic in both financial and academic circles. The stock market is inherently unpredictable, lacking clear rules for estimating or predicting share prices. Various methods, including technical analysis, fundamental analysis, time series analysis, and statistical analysis, have been employed to forecast stock prices. However, none of these methods consistently serve as reliable prediction tools. In this paper, we explore the implementation, prediction, and analysis of stock market prices. Artificial Neural Networks and Machi

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Abdul Shukor, Syaimak, and Mas Al Hafiz Samsir. "VISUALISATION OF URBAN SPRAWL WITHIN THE CITY USING TABLEAU." International Journal of Innovation and Industrial Revolution 5, no. 14 (2023): 146–60. http://dx.doi.org/10.35631/ijirev.514011.

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The urban sprawl still happening today is causing an imbalance in development between urban and rural areas. Issues such as non-optimal land use, land use development dispersal, land use conversion to municipal use, and reducing forest and agricultural areas need help in effective governance and enforcement. Furthermore, the condition of the village-in-the-city is increasingly threatened due to the urban sprawl. Currently, the existing visualisations are limited to only categorising the city and village boundaries. It cannot show the boundaries of a village-in-the-city area. The vague boundary

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Andruszkiewicz, Anna, and Jolanta Korycka-Skorupa. "The cartographic visualisation of spatial data. An example of nature protection areas in the Podlaskie Voivodship (north-eastern Poland)." Polish Cartographical Review 52, no. 3 (2020): 108–23. http://dx.doi.org/10.2478/pcr-2020-0009.

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Abstract The authors attempt to visualise nature conservation issues in the Podlaskie Voivodship using a series of small-scale thematic maps. Publicly available spatial and statistical data was used. The authors discuss the effects of applying the adopted methodological solutions. Some of them present a new approach to cartographic visualisation of spatial data. It may be an opportunity to look at various visualisation methods, their effectiveness, and the possibility of visualising nature issues on small-scale thematic maps.

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Breddels, M. A. "Interactive (statistical) visualisation and exploration of a billion objects with vaex." Proceedings of the International Astronomical Union 12, S325 (2016): 299–304. http://dx.doi.org/10.1017/s1743921316012795.

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AbstractWith new catalogues arriving such as the Gaia DR1, containing more than a billion objects, new methods of handling and visualizing these data volumes are needed. We show that by calculating statistics on a regular (N-dimensional) grid, visualizations of a billion objects can be done within a second on a modern desktop computer. This is achieved using memory mapping of hdf5 files together with a simple binning algorithm, which are part of a Python library called vaex. This enables efficient exploration or large datasets interactively, making science exploration of large catalogues feasi

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Lodha, Suresh, Prabath Gunawardane, Erin Middleton, and Ben Crow. "Understanding relationships between global health indicators via visualisation and statistical analysis." Journal of International Development 21, no. 8 (2009): 1152–66. http://dx.doi.org/10.1002/jid.1652.

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Britten, Anna. "Data viz whiz kids." Significance 20, no. 6 (2023): 42–44. http://dx.doi.org/10.1093/jrssig/qmad099.

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Abstract Taylor Swift albums, basketball stars and homework all inspired high-schoolers to show off their data visualisation skills for a colourful American Statistical Association contest this summer

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FORBES, SHARLEEN, JEANETTE CHAPMAN, JOHN HARRAWAY, DOUG STIRLING, and CHRIS WILD. "USE OF DATA VISUALISATION IN THE TEACHING OF STATISTICS: A NEW ZEALAND PERSPECTIVE." STATISTICS EDUCATION RESEARCH JOURNAL 13, no. 2 (2014): 187–201. http://dx.doi.org/10.52041/serj.v13i2.290.

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For many years, students have been taught to visualise data by drawing graphs. Recently, there has been a growing trend to teach statistics, particularly statistical concepts, using interactive and dynamic visualisation tools. Free down-loadable teaching and simulation software designed specifically for schools, and more general data visualisation tools are increasingly being used in New Zealand classrooms. This paper discusses four examples: the use of GenStat for Teaching and Learning Schools and Undergraduate (GTL); Auckland University’s iNZight and VIT (Visual Inference Tools) for teaching

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Sweatman, Winston LeMay, James McGree, Corrie Jacobien Carstens, et al. "Visualisation and statistical modelling techniques for the management of inventory stock levels." ANZIAM Journal 57 (August 28, 2016): 130. http://dx.doi.org/10.21914/anziamj.v57i0.10225.

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Król, Karol. "MAP CHARTS: VISUALISATION OF STATISTICAL DATA ON A BACKGROUND MAP – CASE STUDY." Geomatics, Landmanagement and Landscape 4 (2020): 171–81. http://dx.doi.org/10.15576/gll/2019.4.171.

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Stofer, Ludivine, and Thomas Schulz. "A new integrated cartographic visualisation framework at the Swiss Federal Statistical Office." Abstracts of the ICA 7 (September 3, 2024): 1. http://dx.doi.org/10.5194/ica-abs-7-165-2024.

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GRANT, ROBERT. "STATISTICAL LITERACY IN THE DATA SCIENCE WORKPLACE." STATISTICS EDUCATION RESEARCH JOURNAL 16, no. 1 (2017): 17–21. http://dx.doi.org/10.52041/serj.v16i1.207.

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Statistical literacy, the ability to understand and make use of statistical information including methods, has particular relevance in the age of data science, when complex analyses are undertaken by teams from diverse backgrounds. Not only is it essential to communicate to the consumers of information but also within the team. Writing from the perspective of a statistician who later taught himself about data visualisation and machine learning, I consider some pitfalls for ommunication and drivers of behaviour within the team. Recruiters and managers also play a part in creating a workplace wh

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Domański, Czesław, and Alina Jędrzejczak. "Statistical Computing in Information Society." Folia Oeconomica Stetinensia 15, no. 2 (2015): 144–52. http://dx.doi.org/10.1515/foli-2015-0041.

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Abstract In the presence of massive data coming with high heterogeneity we need to change our statistical thinking and statistical education in order to adapt both - classical statistics and software developments that address new challenges. Significant developments include open data, big data, data visualisation, and they are changing the nature of the evidence that is available, the ways in which it is presented and the skills needed for its interpretation. The amount of information is not the most important issue – the real challenge is the combination of the amount and the complexity of da

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Janet Ge, Xin, and Jinson Zhang. "Development of an Ontology-Based Visual Approach for Property Data Analytics." International Journal of Real Estate Studies 15, no. 1 (2021): 1–15. http://dx.doi.org/10.11113/intrest.v15n1.4.

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Real estate is a complex market that consists of many layers of social, financial, and economic data, including but not limited to price, rental, location, mortgage, demographic and housing supply data. The sheer number of real estate properties around the world means that property transactions produce an extraordinary amount of data that is increasing exponentially. Most of the data are presented through thousands of rows on a spreadsheet or described in long paragraphs that are difficult to understand. The emergent data visualization techniques are intended to allow data to be processed and

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Benke, K. K., and C. Pelizaro. "A spatial-statistical approach to the visualisation of uncertainty in land suitability analysis." Journal of Spatial Science 55, no. 2 (2010): 257–72. http://dx.doi.org/10.1080/14498596.2010.521975.

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Araki, Hiromitsu, Christoph Knapp, Peter Tsai, and Cristin Print. "GeneSetDB: A comprehensive meta-database, statistical and visualisation framework for gene set analysis." FEBS Open Bio 2, no. 1 (2012): 76–82. http://dx.doi.org/10.1016/j.fob.2012.04.003.

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Khormi, Sameer Ali, Areeb Alshoshan, and Abdulrahman Binrsheed. "THE IMPACT OF USING LOGO PROGRAMMING LANGUAGE ON THE DEVELOPMENT OF SPATIAL VISUALISATION ABILITY AMONG ELEMENTARY SCHOOL STUDENTS." International Journal of Research -GRANTHAALAYAH 9, no. 3 (2021): 118–27. http://dx.doi.org/10.29121/granthaalayah.v9.i3.2021.3771.

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This study aims to investigate the effect of using LOGO on the improvement of spatial visualisation abilities among fourth-grade elementary students. In order to achieve this objective, the researchers have selected the Arabic version of spatial ability test prepared by Paul Newton and Helen Bristoll, which involves spatial visualisation perception. The researchers have employed the pre and post-test quasi-experimental approach. The research was applied to a sample group composed of 53 students enrolled in the fourth grade of the elementary stage. The sample group was selected from an elementa

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Cerasoni, Jacopo Niccolò, Felipe do Nascimento Rodrigues, Yu Tang, and Emily Yuko Hallett. "Do-It-Yourself digital archaeology: Introduction and practical applications of photography and photogrammetry for the 2D and 3D representation of small objects and artefacts." PLOS ONE 17, no. 4 (2022): e0267168. http://dx.doi.org/10.1371/journal.pone.0267168.

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Photography and photogrammetry have recently become among the most widespread and preferred visualisation methods for the representation of small objects and artefacts. People want to see the past, not only know about it; and the ability to visualise objects into virtually realistic representations is fundamental for researchers, students and educators. Here, we present two new methods, the ‘Small Object and Artefact Photography’ (‘SOAP’) and the ‘High Resolution “DIY” Photogrammetry’ (‘HRP’) protocols. The ‘SOAP’ protocol involves the photographic application of modern digital techniques for

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Pasko, Vladlena, Ludmila Filenko, Elena Mitova, Olena Tserkovna, and Yana Aleksienko. "Visualisation of statistical data of the educational and training process on the example of sports games." Sports games, no. 3(37) (June 1, 2025): 23–29. https://doi.org/10.15391/si.2025-3.04.

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One of the most effective ways to improve the training process is to use data visualisation. Visualisation is understood as a set of methods for presenting numerical information or physical processes in a form convenient for visual perception and analytical comprehension. This approach allows you to create visual graphic images that reflect the substantive characteristics of the phenomena under study, and at the same time allows you to compactly present large amounts of data, facilitating their analysis, interpretation and use in decision-making. Purpose: to substantiate the feasibility of usi

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Nocke, T., S. Buschmann, J. F. Donges, N. Marwan, H. J. Schulz, and C. Tominski. "Review: visual analytics of climate networks." Nonlinear Processes in Geophysics 22, no. 5 (2015): 545–70. http://dx.doi.org/10.5194/npg-22-545-2015.

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Abstract. Network analysis has become an important approach in studying complex spatiotemporal behaviour within geophysical observation and simulation data. This new field produces increasing numbers of large geo-referenced networks to be analysed. Particular focus lies currently on the network analysis of the complex statistical interrelationship structure within climatological fields. The standard procedure for such network analyses is the extraction of network measures in combination with static standard visualisation methods. Existing interactive visualisation methods and tools for geo-ref

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Nocke, T., S. Buschmann, J. F. Donges, N. Marwan, H. J. Schulz, and C. Tominski. "Review: visual analytics of climate networks." Nonlinear Processes in Geophysics Discussions 2, no. 2 (2015): 709–80. http://dx.doi.org/10.5194/npgd-2-709-2015.

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Abstract. Network analysis has become an important approach in studying complex spatiotemporal behaviour within geophysical observation and simulation data. This new field produces increasing amounts of large geo-referenced networks to be analysed. Particular focus lies currently on the network analysis of the complex statistical interrelationship structure within climatological fields. The standard procedure for such network analyses is the extraction of network measures in combination with static standard visualisation methods. Existing interactive visualisation methods and tools for geo-ref

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Nair, Venugopal Achuthan, Brahmanandan Radhika Devi, Jagathnath Krishna Kumarapillai Mohanan Nair, Cherian Koshy Rachel, and Munish Palliyalil Kakkolil. "Direct laryngoscopy versus video laryngoscopy for expected difficult tracheal intubation a prospective observational study." Indian Journal of Clinical Anaesthesia 8, no. 2 (2021): 277–82. http://dx.doi.org/10.18231/j.ijca.2021.052.

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: Difficult tracheal intubation still contributes significantly to anaesthesia related morbidity and mortality. Poor visualisation of laryngeal structures and multiple attempts at intubation are the leading causes with the conventional laryngoscopes. Though the recently introduced video assisted devices have significantly improved the ease of intubation by their superior laryngeal visualisation, the duration of intubation may vary. Here we compared the ease of tracheal intubation using Macintosh conventional direct laryngoscope (DL) and C- MAC videolaryngoscope (VL) in patients with expected d

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König, Olaf. "Retro-atlases II: a new edition of the first Statistical Atlas of Switzerland (1897)." Abstracts of the ICA 1 (July 15, 2019): 1. http://dx.doi.org/10.5194/ica-abs-1-183-2019.

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<p><strong>Abstract.</strong> In 2018, the Swiss Federal Statistical Office celebrated the 125th edition of its most prominent annual publication &amp;ndash; the “Statistical Yearbook of Switzerland”. This celebration was also an opportunity of reissuing as a supplement a selection of attractive, but not well-known visualisations from the first Statistical Atlas of Switzerland initially published in 1897 and yearbooks from the 19th century. The original atlas produced issued by the Swiss Federal Statistical Bureau contained 22 coloured “plates”, including 6 maps and 16 di

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B, Sushma. "Statistical Measures of Center: A Focus on Mean, Median, and Mode." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 12 (2024): 1–5. https://doi.org/10.55041/ijsrem39608.

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In statistics, systematic data collection, organization, analysis, interpretation, and presentation are the main topics of study. Understanding variability, seeing trends, and coming to wise conclusions in a variety of fields all depend on it. In general, statistics can be separated into: Descriptive statistics: These statistics include the description and summarisation of datasets. Inferential statistics: Inferential statistics is the capacity to infer and forecast information about a population from a sample. Through methods like regression analysis, probability, hypothesis testing, and data

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MCDONNELL, CIARAN, HUGH MCATAMNEY, CATHAL KEEGAN, and CATHERINE MCMAHON. "ASPECTS OF VIRTUAL REALITY AND VISUALISATION." International Journal of Modern Physics C 12, no. 04 (2001): 581–87. http://dx.doi.org/10.1142/s0129183101002590.

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Groenewald, Emily, and Gary Van Vuuren. "Visualisation of Mahalanobis Distances for Trivariate JOINT Distributions." International Journal of Economics and Financial Issues 14, no. 2 (2024): 203–6. http://dx.doi.org/10.32479/ijefi.15663.

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The Mahalanobis distance is a statistical measure used to quantify the distance between elliptic distributions with distinct locations and shared shapes, while accounting for the variables' covariance structure. It is applicable to both estimative and predictive estimation approaches, where variations are limited to location, and it assesses the similarity or dissimilarity between data and the mean (centroid) of a multivariate distribution, within the family of multivariate elliptic distributions. It is thus useful for outlier identification. The aim of the study is to provide, for the first t

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Sarda, Kaushal Kailas. "Rainfall Predictions Using Data Visualization Techniques." International Journal for Research in Applied Science and Engineering Technology 10, no. 5 (2022): 332–36. http://dx.doi.org/10.22214/ijraset.2022.42151.

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Abstract: Weather forecasting has now entered the era of Data Visualisation due to the advancement of climate observing systems like satellite meteorological observation and also because of the increase in the collection of weather data. So, the traditional intelligence models are not adequate to predict the weather precisely. Hence, machine learning-based techniques are importantto process massive datasets that can learn and make predictions more precise based on past data. This research paper provides a thorough review of different rainfall prediction techniques, along with the help of publi

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Chang, Victor, David De Roure, Gary Wills, and Robert John Walters. "Case Studies and Organisational Sustainability Modelling Presented by Cloud Computing Business Framework." International Journal of Web Services Research 8, no. 3 (2011): 26–53. http://dx.doi.org/10.4018/jwsr.2011070102.

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In this paper, Cloud Computing Business Framework (CCBF) is proposed to help organisations achieve good Cloud design, deployment, migration, and services. Although organisations adopt Cloud Computing for Web Services, technical and business challenges emerge, including the measurement of Cloud business performance. Organisational Sustainability Modelling (OSM) is a way to measure Cloud business performance quantitatively and accurately. It combines statistical computation and 3D Visualisation to present the Return on Investment arising from the adoption of Cloud Computing by organisations. 3D

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Athawale, Tushar M., Kara A. Johnson, Christopher R. Butson, and Chris R. Johnson. "A statistical framework for quantification and visualisation of positional uncertainty in deep brain stimulation electrodes." Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization 7, no. 4 (2018): 438–49. http://dx.doi.org/10.1080/21681163.2018.1523750.

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Albazzaz, Hamza, Xue Z. Wang, and Fatma Marhoon. "Multidimensional visualisation for process historical data analysis: a comparative study with multivariate statistical process control." Journal of Process Control 15, no. 3 (2005): 285–94. http://dx.doi.org/10.1016/j.jprocont.2004.06.007.

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Nuyen Ti Tu, Hong, H. Valentová, J. Velíšek, J. Čepička, J. Pokorný, and F. Pudil. "Evaluation of beer quality by sensory analysis." Czech Journal of Food Sciences 18, No. 4 (2000): 137–42. http://dx.doi.org/10.17221/8332-cjfs.

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The flavour of pasteurised and stored beer was evaluated by a panel of 12 assessors. The sensory analysis consisted of combined hedonic evaluation and sensory profiling using unstructured graphical scales and 31 descriptors. The obtained results were evaluated by multivariate statistical methods (principal components analysis and linear discrimination analysis) which allow visualisation of relations between individual descriptors and samples and enable classification of samples to groups according to pasteurisation intensity and storage time.

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Janová, Jitka, and Ladislav Stejskal. "Quantitative data systemization and visualisation in marketing research: groceries selection determinants." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 58, no. 6 (2010): 179–88. http://dx.doi.org/10.11118/actaun201058060179.

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The paper aims to fill in the gap in effective interpretation of the results obtained when systemizing the marketing data by cluster analysis. The graphic visualization of the cluster analysis results is developed in the way the marketing information can be more easily readable and interpretable. Using the primary research data concerning decision making process of consumer when purchasing groceries, the systemization of consumers using hierarchical cluster analysis is performed for several sets of consumers’ characteristics and for each case the graphic visualization is developed. The graph

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Abd Razak, Muhammad Zaki, Shukor Sanim Mohd Fauzi, Ray Adderley JM Gining, and Muhammad Nabil Fikri Jamaluddin. "Data visualisation of vehicle crash using interactive map and data dashboard." Indonesian Journal of Electrical Engineering and Computer Science 14, no. 3 (2019): 1405. http://dx.doi.org/10.11591/ijeecs.v14.i3.pp1405-1411.

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Vehicle crash contributes to a significant number of deaths and injuries in human races around the world. The government and the transportation expert work together around the clock to lessen the number of injuries and fatalities cause from vehicle crash issues. To come out with an effective solution whether from improving the trafficking system including road conditions or increasing awareness among drivers, the experts must analyse the data of vehicle crash from the past decades to find the major causes and come out with a decision. The lack of suitable techniques and tools to analyse a larg

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Traub, L. W., R. Waghela, and E. M. Botero. "Effects of surface flow visualisation on aerodynamic loads at low Reynolds number." Aeronautical Journal 119, no. 1215 (2015): 663–72. http://dx.doi.org/10.1017/s0001924000010745.

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AbstractIn this article, the effect of on-surface flow visualisation (SVF) techniques on measured loads over an airfoil are explored. Titanium dioxide based mixture effects on the lift and drag coefficient are experimentally quantified at low Reynolds numbers by recording the time history as the patterns evolve and freeze. With statistical comparison based on Student’s t-distribution method, it was determined that the effect on the drag coefficient was minimal but the lift coefficient was slightly attenuated. Additionally, it was observed that at high angles-of-attack the temporal history of t

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Capron, Henri, and Jean-Louis Kruseman. "Essai de visualisation des attitudes des principaux partis politiques belges." Res Publica 24, no. 1 (2021): 23–48. http://dx.doi.org/10.21825/rp.v24i1.19340.

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The main point developed in this paper is the demonstration of the attitudes characterizing the major Belgian political parties. This is achieved through a factorial analysis applied to a set of data resulting from the answers given by the major parties leaders to various specific questions regarding bath the prevailing economie as well as institutional issues at the eve of the election of December 17th, 1978. From that point it has been possible to compare those results with the one obtained from the data concerning the 1974 programmes.The results of the statistical analysis show that white i

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Prokopenko, Liliia. "Data Visualisation of the National Bibliography of Sweden in 2015–2022." Ukrainian Journal on Library and Information Science, no. 13 (July 1, 2024): 29–41. http://dx.doi.org/10.31866/2616-7654.13.2024.307114.

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The aim of the article is to analyse the experience of visualising the national bibliography data as a method of studying the documentary flow of the country’s publishing products, and as a means of imaging publishing industry statistics (using the example of Sweden). Research methods. Achieving the set goal is carried out using a system of general scientific and special methods: theoretical (analysis, synthesis, generalisation, etc.), empirical (description), review and analytical, comparative, statistical, etc.). The methodological basis of the study are general scientific principles of obje

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Prokopenko, Liliia. "Data Visualisation of the National Bibliography of Sweden in 2015–2022." Ukrainian Journal on Library and Information Science, no. 13 (July 1, 2024): 29–41. https://doi.org/10.31866/2616-7654.13.2024.307114.

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<strong>The aim of the article </strong>is to analyse the experience of visualising the national bibliography data as a method of studying the documentary flow of the country’s publishing products, and as a means of imaging publishing industry statistics (using the example of Sweden). <strong>Research methods. </strong>Achieving the set goal is carried out using a system of general scientific and special methods: theoretical (analysis, synthesis, generalisation, etc.), empirical (description), review and analytical, comparative, statistical, etc.). The methodological basis of t

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Dhont, Michiel, Elena Tsiporkova, and Veselka Boeva. "Advanced Discretisation and Visualisation Methods for Performance Profiling of Wind Turbines." Energies 14, no. 19 (2021): 6216. http://dx.doi.org/10.3390/en14196216.

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Wind turbines are typically organised as a fleet in a wind park, subject to similar, but varying, environmental conditions. This makes it possible to assess and benchmark a turbine’s output performance by comparing it to the other assets in the fleet. However, such a comparison cannot be performed straightforwardly on time series production data since the performance of a wind turbine is affected by a diverse set of factors (e.g., weather conditions). All these factors also produce a continuous stream of data, which, if discretised in an appropriate fashion, might allow us to uncover relevant

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OBE, Alan Smith. "Data visualisation and beyond: A multi- disciplinary approach to promote user engagement with official statistics." Statistical Journal of the IAOS: Journal of the International Association for Official Statistics 29, no. 3 (2013): 173–85. https://doi.org/10.3233/sji-130783.

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As the World Wide Web becomes a source of increasingly rich content, the appetite among users for data visualisation continues to grow. This perspective resonates with calls from senior figures in UK official statistics for web content that transforms vast amounts of data into meaningful information. To enable this transformation towards rich content, evolving web technology is increasingly facilitating 'integrated content' – text, images, tables and other content types, featuring animation and interactivity, intelligently bound together in the same document. Despite this trend, the outputs pr

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Saleeb, Noha. "Impact of Fidelity in 3D Space Visualisation Across the Construction Asset Lifecycle." International Journal of 3-D Information Modeling 5, no. 1 (2016): 16–28. http://dx.doi.org/10.4018/ij3dim.2016010102.

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3D virtual building models are used to help clients reach decisions during concept and detailed design phases. However, previously published research provides evidence for discrepancies between human perception of virtual and physical spaces; thus perceiving each virtual dimension (height, width, depth) differently from its physical counterpart, with varying percentages. This can affect clients' effective decision-making during coordination if 3D virtual representations are not perceived identical to their physical equivalent. This paper discusses the impact of these discrepancies beyond the d

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Dron, Tetiana. "DATA VISUALISATION AS A TOOL FOR ENHANCING THE INFORMATIVE VALUE OF MONITORING STUDIES ON EDUCATION QUALITY." Educational Analytics of Ukraine, no. 6 (2024): 81–92. https://doi.org/10.32987/2617-8532-2024-6-81-92.

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This article examines the critical role of data visualization in monitoring and analysing the implementation of education reform in Ukraine. It provides an in-depth exploration of how modern visualization tools enhance the effectiveness of monitoring studies related to educational reforms. Specifically, the study investigates advanced table-generation technologies, such as Google Sheets and Duet AI by Google, alongside data visualization tools, including artificial intelligence-based solutions. The material presents contemporary data visualization platforms, such as Tableau, Microsoft Power BI

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Bajpai, Shalini. "A Comparative Study of Intubation Performance between Channelled vs. Non-Channelled Blade of King Vision Video Laryngoscope in Orotracheal Intubation." Journal of Evidence Based Medicine and Healthcare 8, no. 12 (2021): 732–36. http://dx.doi.org/10.18410/jebmh/2021/143.

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BACKGROUND Video laryngoscope is an important tool for orotracheal intubation in anaesthesia practice particularly in difficult airways. It provides an indirect view of glottis without the need of alignment of oropharyngeal-laryngeal axis. We compared the intubation characteristics of channelled versus non-channelled blades of King VisionTM Video Laryngoscope. METHODS In this study 60 patients were randomly allocated to two groups; group C were intubated with channelled and group NC with non-channelled blade of King Vision. We measured time for glottis visualisation and intubation time using b

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Zakari, Ibrahim Sidi. "Linking statistical literacy and data stewardship in Public Universities of Niger: Lessons learned from the collaboration with the national statistics institute." Statistical Journal of the IAOS 36 (December 25, 2020): 63–72. http://dx.doi.org/10.3233/sji-200708.

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This paper aims at highlighting the lessons learned from recent initiatives between public universities of Niger and the national statistics institute. Our investigation of the existing national statistical system revealed the need to increase the number of qualified human resources with advanced skills in open data, big data, data visualisation, machine learning, mathematical modeling and data-driven innovations. Moreover, the existing statistical literacy and data crowdsourcing activities need to be validated and upscaled; and we have found a lack of experience in managing big data and in th

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Specht, Sebastian, and Bernd Kramer. "Detail or Disclosure – Towards a Visualisation of Confidentiality Related Spatial Damage to Demographic Grids." Abstracts of the ICA 2 (October 8, 2020): 1. http://dx.doi.org/10.5194/ica-abs-2-14-2020.

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Abstract. Statistical data on demography is the basis for many population-related scientific questions, economic questions of health care and questions of planning public services. Population data in equal-area cartographic grid cells appears to be a good basis, especially for use cases in inter-municipal contexts of administration and planning (Specht et al. 2019). Census results have been used, since the 2011 census made available small-scale population data for the entire Federal Republic of Germany on a 100m grid for the first time. Unfortunately, this data is not updated by the statistica

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Duller, G. A. T. "Enhancing Analyst by integrating the R package ‘Luminescence’." Ancient TL 36, no. 2 (2018): 1–6. https://doi.org/10.26034/la.atl.2018.525.

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A new facility within the software package Analyst is described, allowing users to run R scripts with little or no need to interact directly with the R language themselves. This tight integration of R within Analyst provides users with a much more powerful platform in which to undertake selection and analysis of their data than is currently available. The current implementation focusses on the use of the R ‘Luminescence’ package for visualisation and statistical modelling of equivalent dose distributions, but the wide variety of other capabilities of the R statistical language can also be acce

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Parulekar, Prashant. "Nodal screw compressor failure analysis using data analytics—CSG application." APPEA Journal 55, no. 1 (2015): 59. http://dx.doi.org/10.1071/aj14005.

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An engine-driven oil-injected screw compressor in CSG service failed catastrophically. Instrumentation provided on the package was ineffective in predicting or detecting the failure. As part of the Root Cause Analysis (RCA) process, a statistical analysis of the logged instrument data, as measured across a period of six months prior to the failure, was carried out. This paper uses data analytic methods to process instrument data, data visualisation techniques, advanced statistical analysis of the instrument data, and techniques to filter signal noise. The analysis recognised the multivariate b

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Osaulenko, Oleksandr H., and Olena Horobets. "Using Big Data by Ukrainian official statistics when martial law applies: problems and solutions." Statistics in Transition new series 24, no. 1 (2023): 29–43. http://dx.doi.org/10.59170/stattrans-2023-003.

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The article is focused on issues of the secure operation of official statistics in Ukraine during the application of martial law. It was found that the gaps in conventional sources of statistical data caused by the war needed to be filled with data from alternative sources, including Big Data. The level of digitalisation in Ukraine as the basis for using Big Data was analysed by the proposed indices of internetisation, social progress and digital transformation. Thanks to our research, several problems (methodological, legal, financial, and managerial) were identified as vital for statistical

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LEAVY, AISLING, MAIREAD HOURIGAN, and MICHELLE FITZPATRICK. "EXPLORING THE PLIGHT OF THE HONEYBEE: USING DATA SENSORS AND CODAP TO SUPPORT EMERGING BILINGUAL LEARNERS IN REASONING ABOUT BIG STATISTICAL IDEAS." STATISTICS EDUCATION RESEARCH JOURNAL 23, no. 2 (2025): 5. https://doi.org/10.52041/serj.v23i2.708.

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Children require access to high-quality statistics education to develop the skills to participate in a technological and data-reliant workforce. This study consisted of a five-lesson integrated STEM unit designed to develop the statistical literacy of 62 6th-grade (11–12 years old) emerging bilingual (EB) learners. Learning was situated in the study of the honeybee, utilising innovative technologies to gather data and support data visualisation and analysis. Lesson study was used to design lessons targeting understandings of distribution, centre, variability, data comparison, informal measures

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Adebanjo, Seun, and Emmanuel Banchani. "Application of Different Python Libraries for Visualisation of Female Genital Mutilation." International Journal of Data Science 4, no. 2 (2023): 67–83. http://dx.doi.org/10.18517/ijods.4.2.67-83.2023.

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Utilizing data visualization facilitates the analysis and comprehension of common data provided by the media, individuals, governments, and other sectors. Python is a well-known programming language that excels at scientific data visualization. This thesis utilizes a variety of Python modules, including Pandas, NumPy, Matplotlib, Seaborn, Plotly, and Bokeh, to illustrate female genital mutilation. The purpose of this thesis is to illustrate female genital mutilation and explain its performance pattern using a complex, interactive diagram that integrates multiple types of Python libraries. In c

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