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Articles de revues sur le sujet « Statistical visualisation »
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SUTHERLAND, SINCLAIR, et JIM RIDGWAY. « INTERACTIVE VISUALISATIONS AND STATISTICAL LITERACY ». STATISTICS EDUCATION RESEARCH JOURNAL 16, no 1 (31 mai 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. Statistical literacy should be conceived of as empowerment to engage effectively with evidence, and educators should seek to move students along a pathway from using interactive data visualisations to building them and interpreting what they see. First published May 2017 at Statistics Education Research Journal Archives
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Cuthbert, Carol E., et Noel J. Pearse. « Strategic Data Pattern Visualisation ». Journal of Systemics, Cybernetics and Informatics 20, no 1 (janvier 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 have delved into data armed with a hypothesis, but increasingly they explore data to discern patterns that lead to hypotheses that are then tested. These big data analytics tools in the hands of data scientists have the potential to unlock firm value and increase revenue and profits, through pattern identification, analysis, and strategic action. This exploratory mode of working can increase complexity and thereby diminish efficient management decision-making and action. However, data pattern visualisation reduces complexity, as it enables interdisciplinary communication between data scientists and managers through the translation of statistical patterns into visualisations that enable actionable management decisions. When data scientists visualise data patterns for managers, this translates uncertainty into reliable conclusions, resulting in effective management decision-making and action. Informed by contingent resource theory and viewing these primary and secondary resources as independent variables and performance outcomes such as revenue and profitability as dependent variables, a conceptual framework is developed. The contingent resource-based theory highlights capabilities emerging from the interrelationship between primary and secondary resources as being central to competitiveness and profitability. Data decision-making systems are viewed as a primary resource, while complementary resources are (1) their completeness of vision (i.e., strategy and innovation) and (2) their ability to execute (i.e., operational capabilities). Data visualisation is therefore crucial as a resource facilitating actionable decisions by management, which in turn enhances firm performance. The balance between expert agents' self-reliance and central control, the entity's values, task attributes, and risk appetite all moderate the type of data visualisation produced by data scientists.
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Khormi, Sameer Ali, Areeb Alshoshan et 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 (26 mars 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 elementary school-based in the city of Jeddah, Saudi Arabia. Members of the sample group were randomly and simply divided into two groups; specifically the experimental and control groups. The experimental group was taught using LOGO programming language, while the control group was taught using the traditional method. After implementing the research treatment and processing data and information statistically, findings revealed that there are statistical differences between the two groups; namely, the experimental and control groups – in terms of the development of spatial visualisation perception in favour of the experimental group.
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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 (octobre 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 feasible. Vaex is a Python library and an application, which allows for interactive exploration and visualization. The motivation for developing vaex is the catalogue of the Gaia satellite, however, vaex can also be used on SPH or N-body simulations, any other (future) catalogues such as SDSS, Pan-STARRS, LSST, etc. or other tabular data. The homepage for vaex is http://vaex.astro.rug.nl.
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Lodha, Suresh, Prabath Gunawardane, Erin Middleton et Ben Crow. « Understanding relationships between global health indicators via visualisation and statistical analysis ». Journal of International Development 21, no 8 (novembre 2009) : 1152–66. http://dx.doi.org/10.1002/jid.1652.
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Andruszkiewicz, Anna, et 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 (1 septembre 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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GRANT, ROBERT. « STATISTICAL LITERACY IN THE DATA SCIENCE WORKPLACE ». STATISTICS EDUCATION RESEARCH JOURNAL 16, no 1 (31 mai 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 where speed and novelty are sometimes over-valued. Statisticians have a duty to educate and shape this exciting new workplace. First published May 2017 at Statistics Education Research Journal Archives
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FORBES, SHARLEEN, JEANETTE CHAPMAN, JOHN HARRAWAY, DOUG STIRLING et CHRIS WILD. « USE OF DATA VISUALISATION IN THE TEACHING OF STATISTICS : A NEW ZEALAND PERSPECTIVE ». STATISTICS EDUCATION RESEARCH JOURNAL 13, no 2 (28 novembre 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 bootstrapping and randomisation; the CAST e-books, and the use of data visualisation tools to assist learning concepts in official statistics. All these tools are publically available and several are already being used internationally. First published November 2014 at Statistics Education Research Journal Archives
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Sweatman, Winston LeMay, James McGree, Corrie Jacobien Carstens, Kylie J. Foster, Shen Liu, Nicholas Tierney, Eloise Tredenick et Ayham Zaitouny. « Visualisation and statistical modelling techniques for the management of inventory stock levels ». ANZIAM Journal 57 (28 août 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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Domański, Czesław, et Alina Jędrzejczak. « Statistical Computing in Information Society ». Folia Oeconomica Stetinensia 15, no 2 (1 décembre 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 data. Moreover, a need arises to know how uncertain situations should be dealt with and what decisions should be taken when information is insufficient (which can also be observed for large datasets). In the paper we discuss the idea of computational statistics as a new approach to statistical teaching and we try to answer a question: how we can best prepare the next generation of statisticians.
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Janet Ge, Xin, et Jinson Zhang. « Development of an Ontology-Based Visual Approach for Property Data Analytics ». International Journal of Real Estate Studies 15, no 1 (23 juin 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 analytics to be displayed visually to enable an understanding of complex information and the identification of new patterns from the data. However, not all visualization techniques can achieve such a thing. Most techniques are able to display only visual low-dimensional data. This paper introduces an ontology visualisation methodology to explore the ontologies of property data behaviour for multidimensional data. The visualisation combines real estate data statistical analysis with several high dimensional data visualisation techniques, including parallel coordinates and stacked area charts. By using six residential suburbs in Sydney as a demonstration, we find that the developed data visualisation methodology can be applied effectively and efficiently to analyse complex real estate market behaviour patterns.
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Benke, K. K., et C. Pelizaro. « A spatial-statistical approach to the visualisation of uncertainty in land suitability analysis ». Journal of Spatial Science 55, no 2 (décembre 2010) : 257–72. http://dx.doi.org/10.1080/14498596.2010.521975.
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Araki, Hiromitsu, Christoph Knapp, Peter Tsai et Cristin Print. « GeneSetDB : A comprehensive meta-database, statistical and visualisation framework for gene set analysis ». FEBS Open Bio 2, no 1 (1 janvier 2012) : 76–82. http://dx.doi.org/10.1016/j.fob.2012.04.003.
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Cerasoni, Jacopo Niccolò, Felipe do Nascimento Rodrigues, Yu Tang et 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 (15 avril 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 the representation of any small object. The ‘HRP’ protocol involves the photographic capturing, digital reconstruction and three-dimensional representation of small objects. These protocols follow optimised step-by-step explanations for the production of high-resolution two- and three-dimensional object imaging, achievable with minimal practice and access to basic equipment and softwares. These methods were developed to allow anyone to easily and inexpensively produce high-quality images and models for any use, from simple graphic visualisations to complex analytical, statistical and spatial analyses.
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Capron, Henri, et Jean-Louis Kruseman. « Essai de visualisation des attitudes des principaux partis politiques belges ». Res Publica 24, no 1 (1 juin 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 in 1974 the strongest positive associations between parties corresponded to tht traditional ethical and socioeconomic cleavages, four years later the linguistic dimension was predominant with a stronger homogeneity characterizing the Dutchspeaking group than what could be observed for the Frenchspeaking one.The factorial analysis allows for a graphical representation of the respective positioning of the parties along the statistically significant factorial axes. Applied to two sets of data, the first one on purely institutional matters, the second one on both institutional and economic policies, the analysis reveals clearly through the various graphs presented the linguistic cleavage as well as the divergences about the extent of regional competences and minorities protection, on the one hand, and, on the other hand, the degrees of regional economic autonomy and of public intervention in the business life.
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Nocke, T., S. Buschmann, J. F. Donges, N. Marwan, H. J. Schulz et C. Tominski. « Review : visual analytics of climate networks ». Nonlinear Processes in Geophysics 22, no 5 (23 septembre 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-referenced network exploration are often either not known to the analyst or their potential is not fully exploited. To fill this gap, we illustrate how interactive visual analytics methods in combination with geovisualisation can be tailored for visual climate network investigation. Therefore, the paper provides a problem analysis relating the multiple visualisation challenges to a survey undertaken with network analysts from the research fields of climate and complex systems science. Then, as an overview for the interested practitioner, we review the state-of-the-art in climate network visualisation and provide an overview of existing tools. As a further contribution, we introduce the visual network analytics tools CGV and GTX, providing tailored solutions for climate network analysis, including alternative geographic projections, edge bundling, and 3-D network support. Using these tools, the paper illustrates the application potentials of visual analytics for climate networks based on several use cases including examples from global, regional, and multi-layered climate networks.
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Nocke, T., S. Buschmann, J. F. Donges, N. Marwan, H. J. Schulz et C. Tominski. « Review : visual analytics of climate networks ». Nonlinear Processes in Geophysics Discussions 2, no 2 (30 avril 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-referenced network exploration are often either not known to the analyst or their potential is not fully exploited. To fill this gap, we illustrate how interactive visual analytics methods in combination with geovisualisation can be tailored for visual climate network investigation. Therefore, the paper provides a problem analysis, relating the multiple visualisation challenges with a survey undertaken with network analysts from the research fields of climate and complex systems science. Then, as an overview for the interested practitioner, we review the state-of-the-art in climate network visualisation and provide an overview of existing tools. As a further contribution, we introduce the visual network analytics tools CGV and GTX, providing tailored solutions for climate network analysis, including alternative geographic projections, edge bundling, and 3-D network support. Using these tools, the paper illustrates the application potentials of visual analytics for climate networks based on several use cases including examples from global, regional, and multi-layered climate networks.
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Nair, Venugopal Achuthan, Brahmanandan Radhika Devi, Jagathnath Krishna Kumarapillai Mohanan Nair, Cherian Koshy Rachel et 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 (15 juin 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 difficult tracheal intubation. A total of 140 patients undergoing elective surgery under general anaesthesia with Modified Mallampati Class 3 and 4 found during the preoperative airway assessment were equally recruited to either of the groups. We compared the duration of tracheal intubation, visualisation of the laryngeal inlet, additional optimising manoeuvres required, and number of attempts at intubation and incidence of oral trauma assessed at extubation between the two groups.: Analysis done using Statistical Packages for the Social Sciences (SPSS) software; Windows version 11.0 (SPSS Inc., Chicago, IL, USA). Intubation time was significantly longer in patients with VL than DL (P 0.0001) whereas visualisation of laryngeal inlet was significantly better with VL (P 0.001). Additional optimising manoeuvres (P 0.001) and incidence of oral trauma (P 0.012) were significantly less with VL whereas intubation attempts were found comparable (P 0.586).: Though VL provided significantly better laryngeal view with less need for optimising manoeuvres and less oral trauma compared to DL, the duration of intubation was significantly more with the former.
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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 (15 juillet 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 &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 diagrams. The techniques of visual display of statistical information were still in their infancy in statistical offices at this time, but this remarkable atlas already shows an expertise and judicious use of these techniques borrowed from the then reference book of Dr Georg von Mayr. The foreword of the original atlas gives a clue of what the authors intended with this visual collection: their main objective was to democratise interest in public statistics and their results using visualisations. In an educational effort, also an explanatory preamble on the methods of graphical representation in general was offered.</p><p>The data used were relatively recent at the time of publication and the datasets even contain first long-time series, ranging from 1850 to 1898. The themes addressed testify to the development of public statistics at the time and the historical context. We find the traditional demographic themes (birth rate, mortality, marriage, population structure, emigration and health), territorial aspects (surfaces and occupation and land use), political life (elected representatives and voting result), trade aspects (imports and exports) and the development of means of communications (railways, telegraph and telephone). The data visualisation techniques that were used already reflect a certain diversity: choropleth and proportional symbol maps, bar charts, pie charts, line charts and population pyramids, displayed as simple figures or as small multiples.</p><p>Following a similar first publication of a retro-atlas (The “Graphical-statistical Atlas 1914&ndash;2014”), published in 2015, he this latest atlas edition combines the 22 plates from the 1897 atlas as well as 7 older visualisations from the 1891&ndash;1899 yearbooks, and enriches this “retro” selection with their counterpart visualisations produced with recent data and modern tools around the year 2017. As the original atlas, the new atlas is fully bilingual and was printed in 2000 copies.</p><p>It is thus possible for the reader to compare different themes and developments in a broad historical perspective, as well as to appreciate the statistics bureau’s early know-how in visual communication. This anniversary edition is therefore an opportunity to bring the first statistical atlas back to the public's attention, and to show the early interest of official statistics in this excellent “<i>intuitive means of teaching, particularly suitable for popularising the interest in the work of statistics</i>”.</p>
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MCDONNELL, CIARAN, HUGH MCATAMNEY, CATHAL KEEGAN et CATHERINE MCMAHON. « ASPECTS OF VIRTUAL REALITY AND VISUALISATION ». International Journal of Modern Physics C 12, no 04 (mai 2001) : 581–87. http://dx.doi.org/10.1142/s0129183101002590.
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Athawale, Tushar M., Kara A. Johnson, Christopher R. Butson et 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 (9 octobre 2018) : 438–49. http://dx.doi.org/10.1080/21681163.2018.1523750.
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Albazzaz, Hamza, Xue Z. Wang et Fatma Marhoon. « Multidimensional visualisation for process historical data analysis : a comparative study with multivariate statistical process control ». Journal of Process Control 15, no 3 (avril 2005) : 285–94. http://dx.doi.org/10.1016/j.jprocont.2004.06.007.
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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 (31 mai 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 publicly available datasets. Statistical techniques for rainfall forecasting cannot predict well for long-term rainfall forecasting due to the constant change of climate phenomena every year. This paper delivers a precise classification of rainfall forecasting models and discusses potential future research methods in this area. Index Terms: Data Visualisation, Weather Prediction, Machine Learning Techniques, Data Analytics, Rainfall Pattern
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Chang, Victor, David De Roure, Gary Wills et Robert John Walters. « Case Studies and Organisational Sustainability Modelling Presented by Cloud Computing Business Framework ». International Journal of Web Services Research 8, no 3 (juillet 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 visualisation simplifies the review process and is a method for Return of Investment (ROI) valuation. Two detailed case studies with SAP and Vodafone are presented, where OSM has analysed the business performance and explained how CCBF offers insights, which are helpful for WS and Grid businesses. Comparisons and discussions between CCBF and other approaches related to WS are presented, where lessons learned are useful for Web Services, Cloud and Grid communities.
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Nuyen Ti Tu, Hong, H. Valentová, J. Velíšek, J. Čepička, J. Pokorný et F. Pudil. « Evaluation of beer quality by sensory analysis ». Czech Journal of Food Sciences 18, No. 4 (1 janvier 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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Princee, Akanksha, Sudhir Sachdev, Ashish Jain, Kalpana Verma et Durga Jethava. « To compare the efficacy of USG guided central venous catheterisation at internal jugular vein (IJV) and at the Pirogoff’s confluence ». Indian Journal of Clinical Anaesthesia 9, no 4 (15 novembre 2022) : 433–38. http://dx.doi.org/10.18231/j.ijca.2022.088.
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: To compare the efficacy of USG guided central venous catheterisation at internal jugular vein (IJV) and at the Pirogoff’s confluence [IJV, subclavian vein (SCV), Brachiocephalic Vein (BCV)].: A prospective, comparative, randomized, hospital based study was conducted on 100 patients requiring central venous access. After explaining the study to the selected patients, they were randomized into two groups with the use of sealed envelope method i.e. group A (Central venous cannulation of IJV) and group B (central venous cannulation of Pirogoff’s confluence of IJV, SCV, BCV). Data was collected with respect to the efficacy of USG guided cannulation on the basis of time for visualisation, access time, number of attempts, time to CVC, total time of procedure, length of catheter inserted. Any complications encountered were recorded.: There was no difference between number of attempts in either of groups, mean visualization, access time and time to CVC was longer in group B with statistically significant difference. Mean length of catheter inserted was shorter in group B with statistical significant difference. Procedure time required was comparatively more in group B. : The results indicated that Ultrasound guided cannulation of group A is efficacious than group B in terms of time required to culminate the procedure as well as complications but cannulation of Pirogoff’s confluence is a novel approach giving easier access, better visualisation and length of catheter inserted is lesser than IJV.
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Janová, Jitka, et 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 graphical information is interpreted and the marketing impacts of the results obtained by the cluster analysis and presented by the visualization are discussed. Range of possible applications of the procedure constructed encompasses also other spheres of primary and secondary marketing research and generally is useful for the effective analyses of various statistical surveys.
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Abd Razak, Muhammad Zaki, Shukor Sanim Mohd Fauzi, Ray Adderley JM Gining et 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 (1 juin 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 large amount of data is a deterrent in analysing vehicle crash datasets, and the process costs a lot of time. Data visualisation is a technique that allows people to display data in a more infographic form via data visualisation models. Therefore, this study aims to promote and elaborate more on data visualisation techniques using the interactive map and data dashboard to display vehicle crash data. Interactive map and data dashboard can help the government and transportation experts to describe vehicle crash data for them to make right decision to lessen car accident issues. The interactive map focuses on displaying vehicle crash data in map presentation while the data dashboard shows some charts and graph that describe the vehicle crash data in the statistical form. This study can be a reference model of creating interactive map and data dashboard or enhancing the capabilities in managing vehicle crash.
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Traub, L. W., R. Waghela et E. M. Botero. « Effects of surface flow visualisation on aerodynamic loads at low Reynolds number ». Aeronautical Journal 119, no 1215 (mai 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 the flow as the wind tunnel ramps up may alter the steady-state flow field in the presence of a SFV mixture.
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Šmajdek, Anamarija, et Jurij Selan. « The Impact of Active Visualisation of High School Students on the Ability to Memorise Verbal Definitions ». Center for Educational Policy Studies Journal 6, no 4 (31 décembre 2016) : 163–86. http://dx.doi.org/10.26529/cepsj.58.
Texte intégralRésumé :
The era of visual communication influences the cognitive strategies of the individual. Education, too, must adjust to these changes, which raises questions regarding the use of visualisation in teaching. In the present study, we examine the impact of visualisation on the ability of high school students to memorise text. In the theoretical part of the research, we first clarify the concept of visualisation. We define the concept of active visualisation and visualisation as a means of acquiring and conveying knowledge, and we describe the different kinds of visualisation (appearance-based analogies and form-based analogies), specifically defining appearance-based schemata visualisations (where imagery is articulated in a typical culturally trained manner). In the empirical part of the research, we perform an experiment in which we evaluate the effects of visualisation on students’ ability to memorise a difficult written definition. According to the theoretical findings, we establish two hypotheses. In the first, we assume that the majority of the visualisations that students form will be appearance-based schemata visualisations. This hypothesis is based on the assumption that, in visualisation, people spontaneously use analogies based on imagery and schemas that are typical of their society. In the second hypothesis, we assume that active visualisation will contribute to the students’ ability to memorise text in a statistically significant way. This hypothesis is based on the assumption that the combination of verbal and visual experiences enhances cognitive learning. Both hypotheses were confirmed in the research. As our study only dealt with the impact of the most spontaneous type of appearancebased schemata visualisations, we see further possibilities in researching the influence of visualisations that are more complex formally.
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Dhont, Michiel, Elena Tsiporkova et Veselka Boeva. « Advanced Discretisation and Visualisation Methods for Performance Profiling of Wind Turbines ». Energies 14, no 19 (29 septembre 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 insights into the turbine’s operations and behaviour. In this paper, we exploit the outcome of two inherently different discretisation approaches by statistical and visual analytics. As the first discretisation method, a complex layered integration approach is used. The DNA-like outcome allows us to apply advanced visual analytics, facilitating insightful operating mode monitoring. The second discretisation approach is applying a novel circular binning approach, capitalising on the circular nature of the angular variables. The resulting bins are then used to construct circular power maps and extract prototypical profiles via non-negative matrix factorisation, enabling us to detect anomalies and perform production forecasts.
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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 (janvier 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 design phases and into the whole lifecycle, construction and operations. Moreover, descriptive and inferential statistical analysis provides evidence of relationships between the physical and virtual perception differences in dimension, discussing possible factors contributing to perception discrepancies affecting the individual viewer, in 2 main areas 1) 3D authoring software 2) psychophysical factors. Possible solutions are also proposed to accommodate for the discrepancy between physical and virtual spaces.
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Specht, Sebastian, et Bernd Kramer. « Detail or Disclosure – Towards a Visualisation of Confidentiality Related Spatial Damage to Demographic Grids ». Abstracts of the ICA 2 (8 octobre 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 statistical offices.This presentation describes a use case of demographic grids implemented in a context of inter-municipal cooperation in the region of Bremen. As the calculation of population forecasts was an objective, small-scale data on migration was required. Similar to the approach in the census, demographic data and data on migration are recorded in the residents' registration offices (EMA) of the cooperating municipalities. However, since outside the census other legal frameworks apply, the process cannot be adopted as is. In the EMAs, individual-related micro-data are available, serving as a base file. Under the respective legal framework, the data is anonymised, geo coded and converted into an aggregated tabular form on site.Aggregated data may still contain individual cases worthy of protection. The higher the number of queried characteristics (region, gender, age, nationality etc.) and their differentiation (100m grid or 1km grid, age years or age groups, etc.), the higher the probability to encounter such cases. A number of procedures for statistical disclosure control are available, of which the SAFE procedure (Höhne 2015) (used in the 2011 census) is currently implemented in the project. As other methods or strategies are up for consideration, how can they be evaluated in a specific regional context? From the perspective of confidentiality, space is at first just one feature dimension among others, although there are approaches that explicitly take spatial interrelation into account (Young, Martin, and Skinner 2009).From a geographical point of view, however, high resolution data, especially in sparsely populated areas, can generally be expected to show high before-and-after deviations as a result of confidentiality procedures. Depending on the subject matter, these spatial errors can have different degrees of relevance and thus be ultimately relevant for the selection of the confidentiality strategy. To support a decidedly spatial comparison of the effects of different classification, aggregation and confidentiality strategies, a set of indicators together with an interactive visualization for the project area under consideration is presented for discussion.
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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 (25 décembre 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 the development of mathematical methods and fast computational algorithms to analyze them. Finally, the aforementioned collaboration can be improved by working closely with private sector, civil society and the data science community to generate new approaches to emerging issues including climate change and sustainable development.
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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 (22 mars 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 both blades. Percentage of glottis opening (POGO), insertion attempts, intubation attempts, and ease of intubation were also assessed. RESULTS The time for glottis visualisation was 8.5 ± 3 seconds for group C and 7 ± 2 seconds for group NC. Intubation time was 24 ± 8.5 seconds for group C and 44 ± 5 seconds for NC. There was no statistical difference in POGO, insertion attempts, intubation attempts and ease of intubation between the two groups. CONCLUSIONS We concluded that the time for glottis recognition is longer but intubation time is shorter when using King Vision video laryngoscope channelled blade as compared to non-channelled blade. KEYWORDS Video Laryngoscope, King Vision, Channelled, Non-Channelled
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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 behaviour and interrelationships between various operating parameters. The paper further provides insight into the interpretation of statistical measures and how to draw conclusions that explain the failure mechanism. The outcomes of the analysis presented in this paper then provided insights into establishing operating envelopes, proposed instrumentation upgrades to be provided in future and helped establish an operation and maintenance regime that should assist in preventing such failures in future.
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Indarto, Indarto, et Entin Hidayah. « Preliminary Assessment of Morphometric and Hydrological Properties of Six Watersheds in the Eastern Part of East Java ». Forum Geografi 33, no 1 (2 août 2019) : 114–29. http://dx.doi.org/10.23917/forgeo.v33i1.7858.
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A hydrological process on the watersheds is driven by rainfall as the input. Physical properties also affect the magnitude response of the watershed to produce run-off. This paper presents the identification, assessment and visualisation of morphometric and hydrological properties of the watersheds. Six watersheds in the eastern part of East Java were used for the analysis. Physical characteristics obtained by cropping the GIS layer with a watershed. Topographic and morphometric properties of the watersheds derived from the ASTER G-DEM2. Furthermore, hydrological properties are derived statistically by analysing available rainfall and discharge data. Hydrological data (rainfall and discharge) are available from 1996 – 2014. Finally, simple statistical analysis by plotting obtained values are used to interpret the relation between morphometric and hydrological properties of the watersheds. The results show the quantitative number (unit) to describe the morphometric and hydrological properties of the six watersheds that can be used for watershed classification.
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Sadowski, Adam, Karolina Lewandowska-Gwarda, Renata Pisarek-Bartoszewska et Per Engelseth. « A longitudinal study of e-commerce diversity in Europe ». Electronic Commerce Research 21, no 1 (mars 2021) : 169–94. http://dx.doi.org/10.1007/s10660-021-09466-z.
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AbstractOwing to increased access to the Internet and the development of electronic commerce, e-commerce has become a common method of shopping in all countries. The purpose of this study is more precisely to research e-commerce diversity in Europe at the regional level and develop the conception of “E-commerce Supply Chain Management”. Statistical data derived from the European Statistical Office were applied to analyse the spatial diversity of e-retailing. Assessments of the regional diversity of e-retailing applied geographic information systems and exploratory spatial data analysis methods such us global and local spatial autocorrelation statistics. Clusters of regions with similar household preferences related to online shopping were identified. A spatial visualisation of the e-retailing diversity phenomenon may be utilised for the reconfiguration of supply chains and to adapt them to actual household preferences related to shopping methods.
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Lemenkova, Polina. « Mapping Submarine Geomorphology of the Philippine and Mariana Trenches By an Automated Approach Using GMT Scripts ». Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact, and Applied Sciences. 76, no 2 (1 avril 2022) : 258–66. http://dx.doi.org/10.2478/prolas-2022-0039.
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Abstract This paper presents a geospatial analysis of two oceanic trenches using a GMT (Generic Mapping Tools) cartographic method that exploits the scripting approach to visualisation of their geometric shapes. To this end, the research applies the high-resolution datasets GEBCO and ETOPO1 and ETOPO5 for modelling of the submarine relief. This allows taking into account the 2D and 3D shape deviations in the geomorphology of the two selected segments of the trenches by transecting a series of the cross-section profiles. A scripting algorithm of spatial data processing based on the GMT techniques visualised the topography of the submarine objects in 2D and 3D forms and extracted the topographic data from raster grids for statistical analysis of depth using the cross-section transect profiles of both trenches. The bathymetry of the Mariana Trench was evaluated in the southern segment located near the Challenger Deep area, southwest of Guam Island, in comparison with the segment of the Philippine Trench, which was transected in the surroundings of Mindanao Island. The study presented a comparative submarine geomorphic modelling and spatial analysis of the Philippine Sea basin area. The bathymetric analysis of the relief in the Mariana and Philippine trenches showed effective performance of the GMT scripting toolset in advanced cartographic data analysis and visualisation.
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Das, R., et J. Kurian. « Supersonic flow over three dimensional cavities ». Aeronautical Journal 117, no 1188 (février 2013) : 175–92. http://dx.doi.org/10.1017/s0001924000007934.
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AbstractThis work presents a study of acoustic oscillations generated and the wave structure associated with supersonic flow past wall mounted 3D open cavities of varying length-to-width (L/W) ratio. Experiments were conducted to investigate the acoustic signature generated by the cavities at freestream Mach number of 1·7. The effect ofL/Wratio of the cavity on the dominant modes of the acoustic signature registered on different walls of the cavities is investigated for anL/Wrange of 0·83-4. Shift in the dominant acoustic mode is observed asL/Wratio changes from 3 to 4. Statistical analysis of pressure data showed existence of acoustic waves and spreading of acoustic energy over different modes with change in cavity width. Time averaged schlieren visualisation indicated variation of shock and shear layer structure in the mainstream for the different cavities. Acoustic waves generated by the presence of the cavity and the dynamic behaviour of the shear layer were observed during instantaneous shadowgraph visualisation. Numerical simulation was done to make a prior assessment of the flow structure and the results are in good agreement with those from experiments. Ratio of mass exchange between cavity and mainflow and the cavity volume was observed to have profound effect on the magnitude of pressure oscillations generated by the cavities.
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Lung, Mădălin-Sebastian, et Gabriela-Alina Muresan. « Spatial Visualisation of Ethnic Structure Changes in the Apuseni Mountains (Romania) 1880–2011 ». Migracijske i etničke teme / Migration and Ethnic Themes 36, no 1 (2020) : 7–28. http://dx.doi.org/10.11567/met.36.1.1.
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This study aims to present a comparative analysis of the ethnic structure of the population in the Apuseni Mountains (in Romania) during three censuses: in 1880, 1930, and 2011. It emphasises ethnicity continuities and discontinuities, as well as the historical moments that left their mark on that evolution. Statistical data were processed, resulting in the tables showing the ethnic structure of the Apuseni, with absolute as well as relative (percentage) values for each ethnic group. Data were also processed with the aid of ArcGIS 10.3, generating maps of the territorial distribution of the ethnic groups for each administrative-territorial unit. The results show that Romanians maintained their continuity in the mountain area, while other ethnicities changed significantly in terms of numbers and percentages of the total population. The Jewish community was persecuted during the Second World War, finding themselves on the brink of disappearance at the 2011 census. German communities suffered from the socialist policies of deportation to the Soviet Union and other states. Slovaks, deeply affected by industrial restructuring, began to emigrate after the fall of communism in 1989. The most dynamic ethnic group are the Roma, who, according to the censuses, continuously increased in number and percentage.
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Leow, Yao Guang, Caroline CY Lee, Jereme Y. Gan et Lilleen M. Huang. « Comparison of Outcomes of Intra-operative Neuromonitoring of Recurrent Laryngeal Nerve Versus Visualisation Alone during Thyroidectomies : A Singapore Experience ». Annals of the Academy of Medicine, Singapore 49, no 11 (30 novembre 2020) : 870–75. http://dx.doi.org/10.47102/annals-acadmedsg.2020132.
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Introduction: Although intra-operative neuromonitoring (IONM) has become commonly used to identify the recurrent laryngeal nerve (RLN) during thyroid surgeries, its value is still debatable. This study aimed to evaluate the outcomes of thyroid surgery using IONM versus visualisation alone (VA). Methods: We conducted a retrospective analysis of all the open thyroidectomies performed by the otolaryngology department in a tertiary institution in Singapore (Khoo Teck Puat Hospital) from 1 January 2014 to 31 December 2018. There were 301 nerves-at-risk (NAR), 139 in the IONM group and 162 in the VA group. The primary outcome measure was the incidence of RLN injury and the secondary outcome measure was operative duration. Results: There were 33 NAR with immediate post-operative RLN injury, of which 7 had permanent (>6 months) injury. There were minor improvements in the respective rates of immediate and permanent injury in the IONM group (7.9%, 0.7%) compared to the VA group (13.6%, 3.8%), but these were not statistically significant (P=0.14, 0.13). The average operative duration of total thyroidectomies in the IONM group was 37 minutes shorter than in the VA group, but the difference was not statistically significant (P=0.40). Conclusion: The current study shows that the use of intra-operative neuromonitoring shows a tendency towards better RLN outcome and operative duration for total thyroidectomies, but the study may be too small to demonstrate a statistical difference. Keywords: Nerve monitoring, otorhinolaryngology, surgery, thyroid, vocal cord paralysis
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Tuchina, D. K., I. G. Meerovich, O. A. Sindeeva, V. V. Zherdeva, N. I. Kazachkina, I. D. Solov’ev, A. P. Savitsky, A. A. Bogdanov et V. V. Tuchin. « Prospects for multimodal visualisation of biological tissues using fluorescence imaging ». Quantum Electronics 51, no 2 (1 février 2021) : 104–17. http://dx.doi.org/10.1070/qel17512.
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Duch, W. « Visualisation of many-particle model spaces with application to the shell-model calculations ». Journal of Physics A : Mathematical and General 20, no 7 (11 mai 1987) : 1633–43. http://dx.doi.org/10.1088/0305-4470/20/7/010.
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Fish, Andrew, et John Taylor. « Equivalences in Euler-based diagram systems through normal forms ». LMS Journal of Computation and Mathematics 17, no 1 (2014) : 431–84. http://dx.doi.org/10.1112/s1461157014000114.
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AbstractThe form of information presented can influence its utility for the conveying of knowledge by affecting an interpreter’s ability to reason with the information. There are distinct types of representational systems (for example, symbolic versus diagrammatic logics), various sub-systems (for example, propositional versus predicate logics), and even within a single representational system there may be different means of expressing the same piece of information content. Thus, to display information, choices must be made between its different representations, depending upon many factors such as: the context, the reasoning tasks to be considered, user preferences or desires (for example, for short symbolic sentences or minimal clutter within diagrammatic systems). The identification of all equivalent representations with the same information content is a sensible precursor to attempts to minimise a metric over this class. We posit that defining notions of semantic redundancy and identifying the syntactic properties that encapsulate redundancy can help in achieving the goal of completely identifying equivalences within a single notational system or across multiple systems, but that care must be taken when extending systems, since refinements of redundancy conditions may be necessary even for conservative system extensions. We demonstrate this theory within two diagrammatic systems, which are Euler-diagram-based notations. Such notations can be used to represent logical information and have applications including visualisation of database queries, social network visualisation, statistical data visualisation, and as the basis of more expressive diagrammatic logics such as constraint languages used in software specification and reasoning. The development of the new associated machinery and concepts required is important in its own right since it increases the growing body of knowledge on diagrammatic logics. In particular, we consider Euler diagrams with shading, and then we conservatively extend the system to include projections, which allow for a much greater degree of flexibility of representation. We give syntactic properties that encapsulate semantic equivalence in both systems, whilst observing that the same semantic concept of redundancy is significantly more difficult to realise as syntactic properties in the extended system with projections.
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Hetenyi, Gabor, Attila Dr. Lengyel et Magdolna Dr. Szilasi. « Quantitative analysis of qualitative data : Using voyant tools to investigate the sales-marketing interface ». Journal of Industrial Engineering and Management 12, no 3 (18 novembre 2019) : 393. http://dx.doi.org/10.3926/jiem.2929.
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Purpose: The present study aims to give a short introduction into the possibilities offered by Voyant Tools to quantitatively explore qualitative data on the Sales-Marketing Interface (SMI).Design/methodology/approach: The study is exploratory in nature. The sample consists of sales and marketing employees of six manufacturing companies. Answers to three open-ended questions were analysed quantitatively and visualised in various ways using the online toolset of Voyant Tools. We experimented with four different tools out of the twenty four offered by Voyant Tools. These tools were: Cyrrus tool, Correlation tool, Topics tool and Scatter plot tool. All four tools that were tested on the data have scalable parameters. Various settings were tested to demonstrate how input conditions influence modelling of the textual data.Findings: It was demonstrated that the four selected text analysis tools can yield valuable information depicted in the form of attractive visualisation formats. It is also highlighted how rushed conclusions can be arrived at by falsely interpreting the visualised data. It is shown how setting different input parameters can affect results. Out of the four examined tools the Scatter plot tool offering an analysis and modelling method based on t-SNE (t-Distributed Stochastic Neighbour Embedding) proved to yield the most complex information about the text. Research limitations/implications: As the study aimed to be exploratory a sample of convenience was used to collect qualitative data. Although quantitative methods can be invaluable tools of preliminary analysis and hypothesis adjustment in the processing of qualitative data, their results should always be checked against the traditional content analysis techniques which are more sensitive to the complex structure of semantic units. These quantitative techniques are to help early exploration of textual data.Practical implications: Managerial implications might be connected to the fact that in a fast changing global business environment managers and corporate decision makers in general might find the attractive visualisation outputs of Voyant Tool easy to analyse and interprete various aspects of business. As Voyant Tools is an open source, free online sofware not even requiring regsitration and at the same time has an impressive array of sophisticated statistical tools, it might be a cost-effective way of analysing qualitative data. Originality/value: As there is virtually no earlier literature on how quantitative data visualisation techniques can be used in marketing research, especially in the analysis of the SMI, utilisation possibilities of Voyant Tools and other quantitative data analysis and visualisation software for handling qualitative data is definitely a worthwhile area for further research.
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Paiz, Janini Cristina, Marcio Bigolin, Vania Elisabete Schneider et Nilva Lúcia Rech Stedile. « Applying Nightingale charts to evaluate the heterogeneity of biomedical waste in a Hospital ». Revista Latino-Americana de Enfermagem 22, no 6 (décembre 2014) : 942–49. http://dx.doi.org/10.1590/0104-1169.3309.2499.
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OBJECTIVES: to evaluate the heterogeneity of biomedical waste (BW) using Nightingale charts.METHOD: cross-sectional study consisting of data collection on wastes (direct observation of receptacles, physical characterisation, and gravimetric composition), development of a Management Information System, and creation of statistical charts.RESULTS: the wastes with the greatest degree of heterogeneity are, in order, recyclable, infectious, and organic wastes; chemical waste had the most efficient segregation; Nightingale charts are useful for quick visualisation and systematisation of information on heterogeneity.CONCLUSION: the development of a management information system and the use of Nightingale charts allows for the identification and correction of errors in waste segregation, which increase health risks and contamination by infectious and chemical wastes and reduce the sale and profit from recyclables.
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Booi, Menno, Isabel M. van Waveren et Johanna H. A. van Konijnenburg-van Cittert. « Wood anatomical variability in Early Permian ‘araucarioids’ ». IAWA Journal 35, no 3 (9 septembre 2014) : 307–31. http://dx.doi.org/10.1163/22941932-00000068.
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Although araucarioid wood is poor in diagnostic characters, well in excess of 200 Late Paleozoic species have been described. This study presents a largescale anatomical analysis of this wood type based on the fossil wood collections from the Early Permian Mengkarang Formation of Sumatra, Indonesia. Principal Component Analysis visualisation, in conjunction with uni- and multivariate statistical analyses clearly show the wood from the Mengkarang Formation to be a contiguous micromorphological unit in which no individual species can be distinguished. Pycnoxylic wood species described previously from this collection or other collections from the Mengkarang Formation fall within the larger variability described here. Based on comparison with wood from modern-day Araucariaceae, the Early Permian specimens can be differentiated from extant (but unrelated) “araucarioids” by a few (continuous) characters.
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Grandi, Silvia, et Anna Bernasconi. « Geo-online explanatory data visualization tools as crisis management and communication instruments ». Proceedings of the ICA 4 (3 décembre 2021) : 1–8. http://dx.doi.org/10.5194/ica-proc-4-41-2021.
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Abstract. Communication during emergency and crises times is a critical aspect. When available information contains a spatial dimension, maps and interactive localization features may help conveying strong messages to audiences that are otherwise difficult to reach. The COVID-19 pandemic has prompted the design and implementation of a great number of online tools to communicate data of the disease spread and its dynamics that are helpful to support informed decisions for both people in their everyday life and decision makers. Observing this phenomenon has inspired this conceptualization of the geo-Online Explanatory Data Visualization (geo-OEDV) tools, set in the context of available geospatial information, of statistical visualisation tools and of the solid tradition of Geographical Information Systems. Blending classical statistical tools, digital cartography, and the confluence of many elements into a single screen, has produced the currently most spread geo-OEDV instance, i.e., the geo-dashboard and geo-infographics. In particular this paper conceptualises geo-OEDV as a category of meta-cartography that blends online communication with cartographic representation and management principles.