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Littérature scientifique sur le sujet « Statistical visualisation »

Auteur : Grafiati

Publié le 9 mars 2023

Mis à jour le 31 juillet 2025

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Articles de revues sur le sujet "Statistical visualisation"

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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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Thèses sur le sujet "Statistical visualisation"

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Albazzaz, Hamza. "Multivariate statistical batch process control and data visualisation based on independent component analysis." Thesis, University of Leeds, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.432293.

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TORTI, FRANCESCA. "Advances in the forward search: methodological and applied contributions." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2010. http://hdl.handle.net/10281/7791.

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The thesis is about the Forward Search, an approach to robust data analysis proposed and developed in the last 15 years mainly by Atkinson, Riani and Cerioli. It is a general method for detecting unidentified subsets and masked outliers in complex data and for determining their effect on models fitted to the data. This thesis approaches the Forward Search in the regression context under different perspectives, motivated by issues encountered in concrete application contexts related to the analysis of international trade data. The main contributions of the thesis can be summarised as

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Kobakian, Stephanie Rose. "New algorithms for effectively visualising Australian spatio-temporal disease data." Thesis, Queensland University of Technology, 2020. https://eprints.qut.edu.au/203908/1/Stephanie_Kobakian_Thesis.pdf.

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This thesis contributes to improvements in effectively communicating population related cancer distributions and the associated burden of cancer on Australian communities. This thesis presents a new algorithm for creating an alternative map displays of tessellating hexagons. Alternative map displays can emphasise statistics in countries that contain densely populated cities. It is accompanied by a software implementation that automates the choice of one hexagon to represent each geographic unit, ensuring the statistic for each is equitably presented. The case study comparing a traditional chor

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Alfadda, Dalal Abdulaziz. "How Does a ‘Model of Graphics’ Approach and Peer Tutoring Lead to Deep Understanding of Data Visualisation?" Thesis, The University of Sydney, 2021. https://hdl.handle.net/2123/27203.

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This thesis describes how students with no knowledge of descriptive statistics and no experience with data visualisation software learned to produce such visualisations. It proposes a model of graphics approach that enables students to compose a description of a graph and move beyond standard chart types. Two quasi-experimental studies using a one-group pretest–posttest design were conducted with 62 third-year education students from two Australian universities. Intervention involved learning from exposition through an online module, including instructional videos, worked-out examples, proble

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Laurent, Anabelle. "The analysis of data from on-farm research network : Statistical approaches to test the efficacy of management practices and data visualization." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASB022.

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L’expérimentation en réseau d’agriculteurs permet de conduire des essais agronomiques dans des conditions réelles de production. L’intérêt est grandissant car cela représente une opportunité pour mettre en place des essais testant de nouveaux produits et de nouvelles pratiques agricoles dans les champs des agriculteurs. Généralement, les résultats sont présentés sous la forme de rapports individuels (i.e., un rapport résumant les résultats d’un essai en parcelle agricole), mais les informations fournies sont limitées, difficile à généraliser, et cela ne permet pas de synthétiser les résultats

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Phaweni, Thembani. "Classification and visualisation of text documents using networks." Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29534.

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In both the areas of text classification and text visualisation graph/network theoretic methods can be applied effectively. For text classification we assessed the effectiveness of graph/network summary statistics to develop weighting schemes and features to improve test accuracy. For text visualisation we developed a framework using established visual cues from the graph visualisation literature to communicate information intuitively. The final output of the visualisation component of the dissertation was a tool that would allow members of the public to produce a visualisation from a text doc

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Byström, Gustaf. "User centred prototyping iPhone visualisation of XMS Penvision statistics." Thesis, Linköpings universitet, Institutionen för teknik och naturvetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-94736.

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XMS Penvision provides a platform to its customers for the creation of paper forms with the special technique this demands and management of their digital pens. The platform spans multiple operating systems but has not yet taken the step over to the iPhone. The ambition of XMS Penvision is to implement this and want to begin by showing statistical administrative information regarding their platform. The purpose of this thesis is to highlight the needs and wishes of XMS Penvision customers with the help of user‐centered methods and to create a prototype of an administrative interface for the iP

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Burke, Tommy. "Evaluation of visualisations of geographically weighted regression, with perceptual stability." Thesis, University of St Andrews, 2016. http://hdl.handle.net/10023/15680.

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Given the large volume of data that is regularly accumulated, the need to properly manage, efficiently display and correctly interpret, becomes more important. Complex analysis of data is best performed using statistical models and in particular those with a geographical element are best analysed using Spatial Statistical Methods, including local regression. Spatial Statistical Methods are employed in a wide range of disciplines to analyse and interpret data where it is necessary to detect significant spatial patterns or relationships. The topic of the research presented in this thesis is an e

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Good, Norman Markus. "Methods for estimating the component biomass of a single tree and a stand of trees using variable probability sampling techniques." Thesis, Queensland University of Technology, 2001. https://eprints.qut.edu.au/37097/1/37097_Good_2001.pdf.

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This thesis developed multistage sampling methods for estimating the aggregate biomass of selected tree components, such as leaves, branches, trunk and total, in woodlands in central and western Queensland. To estimate the component biomass of a single tree randomised branch sampling (RBS) and importance sampling (IS) were trialed. RBS and IS were found to reduce the amount of time and effort to sample tree components in comparison with other standard destructive sampling methods such as ratio sampling, especially when sampling small components such as leaves and small twigs. However, RBS did

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Krusche, Stefan. "Visualisierung und Analyse multivariater Daten in der gartenbaulichen Beratung -Methodik, Einsatz und Vergleich datenanalytischer Verfahren." Doctoral thesis, Humboldt-Universität zu Berlin, Landwirtschaftlich-Gärtnerische Fakultät, 1999. http://dx.doi.org/10.18452/14463.

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Ausgangspunkt der vorliegenden Arbeit ist die Suche der gartenbaulichen Beratung nach Visualisierungsmöglichkeiten umfangreicher gartenbaulicher Datensätze, die einerseits zu einer graphischen Zusammenfassung der in den Daten enthaltenen Informationen dienen und die andererseits auf interaktivem Weg Möglichkeiten der graphischen Analyse von Erhebungsdaten liefern. Die weitgehende Freiheit von Modellannahmen, der überwiegend deskriptive Charakter der Untersuchungen, das interaktive, schrittweise Vorgehen in der Auswertung, und die Betonung graphischer Elemente kennzeichnet die Arbeit als Be

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Livres sur le sujet "Statistical visualisation"

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author, Zuur Alain F., ed. A beginner's guide to data exploration and visualisation with R. Highland Statistics Ltd., 2015.

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Mohrenweiser, Jens. Learn Data Visualisations of Descriptive Statistics in Excel for the Gender Pay Report. SAGE Publications Ltd, 2023. http://dx.doi.org/10.4135/9781529668155.

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Farebrother, R. W. Visualizing statistical models and concepts. Marcel Dekker, 2002.

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O'Donoghue, Peter, Ambikesh Jayal, Allistair McRobert, and Giles Oatley. Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance. Taylor & Francis Group, 2018.

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O'Donoghue, Peter, Ambikesh Jayal, Allistair McRobert, and Giles Oatley. Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance. Taylor & Francis Group, 2018.

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O'Donoghue, Peter, Ambikesh Jayal, Allistair McRobert, and Giles Oatley. Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance. Taylor & Francis Group, 2018.

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Data Analytics for business Edition. Data Analytics : for Statisticians Biologists Scientific Research Surveys : Collect Data with Statistical Tables to Fill for Data /analysis *Average Variance Standard Deviation*: Data Visualisation and Statistical Inference Time Series Data Analysis Tracker. Independently Published, 2020.

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Data Analytics for Business : Collect Data Tool with Statistical Tables to Fill for Data Analytics / Analysis *Average Variance Standard Deviation*: Data Visualisation and Statistical Inference Time Series Data Analysis Tracker a Manual for Polls Surveys. Independently Published, 2020.

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Data Analytics for Business : Collect Data Tool with Statistical Tables to Fill for Data Analytics / Analysis *Average Variance Standard Deviation*: Data Visualisation and Statistical Inference Time Series Data Analysis Tracker a Manual for Polls Surveys. Independently Published, 2020.

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Data Analytics for Business : Collect Data Tool with Statistical Tables to Fill for Data Analytics / Analysis *Average Variance Standard Deviation*: Data Visualisation and Statistical Inference, Time Series Data Analysis Tracker, a Manual for Polls Surveys. Independently Published, 2020.

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Chapitres de livres sur le sujet "Statistical visualisation"

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Aitkin, Murray. "Data visualisation." In Introduction to Statistical Modelling and Inference. Chapman and Hall/CRC, 2022. http://dx.doi.org/10.1201/9781003216025-9.

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Shardt, Yuri A. W. "Data Visualisation." In Using Excel to Solve Statistical Problems: A Practical Guide to the Book “Statistics for Chemical and Process Engineers”. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-65449-7_2.

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Rogel-Salazar, Jesús. "Alluring Arguments and Ugly Facts – Statistical Modelling and Hypothesis Testing." In Statistics and Data Visualisation with Python. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003160359-6.

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Vidmar, Gaj. "Pixelisation-Based Statistical Visualisation for Categorical Datasets with Spreadsheet Software." In Pixelization Paradigm. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-71027-1_5.

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Gower, John C. "Visualisation." In Geometry Driven Statistics. John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118866641.ch14.

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Asche, Hartmut, Carolin Kucharczyk, and Marion Simon. "Geodata Discovery Assistant: A Software Module for Rule-Based Cartographic Visualisation and Analysis of Statistical Mass Data." In Computational Science and Its Applications -- ICCSA 2015. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21470-2_41.

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Brezina, Vaclav, and Aina Casaponsa. "Statistics and data visualisation." In Introducing Linguistics. Routledge, 2022. http://dx.doi.org/10.4324/9781003045571-28.

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Young, Joanna, and Jan Wessnitzer. "Descriptive Statistics, Graphs, and Visualisation." In Human–Computer Interaction Series. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-26633-6_3.

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Guo, Michael Xin. "Descriptive Statistics and Data Visualisation." In Data Analysis for Business Students. Routledge, 2025. https://doi.org/10.4324/9781003493396-6.

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Rogel-Salazar, Jesús. "The Measure of All Things – Statistics." In Statistics and Data Visualisation with Python. Chapman and Hall/CRC, 2023. http://dx.doi.org/10.1201/9781003160359-4.

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Actes de conférences sur le sujet "Statistical visualisation"

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Cotta, Romulo, and Robert Cottis. "Methods for the Visualisation of Electrochemical Noise Data." In CORROSION 2007. NACE International, 2007. https://doi.org/10.5006/c2007-07363.

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Abstract The use of electrochemical noise (EN) measurements for the study of corrosion processes is now well established, but it remains somewhat unclear as to the best methods to use the extract useful information from the measured time records. Many of the simpler methods are based on the calculation of statistical parameters, such as the standard deviation of current, σI, or potential, σE, and the electrochemical noise resistance, Rn. A problem with many parameters derived from EN measurements is they are inherently noisy, which can make interpretation difficult. This paper explores an alte

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Vadakkoot, Raveendran, and Achuth Raghavendra. "Improved image visualisation through statistical techniques." In 2009 4th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2009. http://dx.doi.org/10.1109/iciea.2009.5138631.

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Kapelner, Adam, Peter P. Lee, and Susan Holmes. "An Interactive Statistical Image Segmentation and Visualization System." In International Conference on Medical Information Visualisation - BioMedical Visualisation (MediVis 2007). IEEE, 2007. http://dx.doi.org/10.1109/medivis.2007.5.

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Ridgway, Jim, James Nicholson, Pedro Campos, and Sónia Teixeira. "Tools for visualizing data: a review." In Teaching Statistics in a Data Rich World. International Association for Statistical Education, 2018. http://dx.doi.org/10.52041/srap.17201.

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There has been an explosion in the range of tools available for presenting data, many of which are available to support statistics teaching. These include tools that allow users to ‘drag and drop’ data sets (e.g. RAW), tools designed to display particular data sets (e.g. eXplorer) and software libraries (e.g. D3.js). We report on a review of visualisation tools, where we have described the sorts of visualisations facilitated by each tool, along with features such as ease of use and cost. Data visualisations can give new insights into complex data sets, and can be used directly to reshape teach

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Rusu, Adrian, Doru Stoica, Edward Burns, Benjamin Hample, Kevin McGarry, and Robert Russell. "Dynamic Visualizations for Soccer Statistical Analysis." In 2010 14th International Conference Information Visualisation (IV). IEEE, 2010. http://dx.doi.org/10.1109/iv.2010.39.

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Patel, Vijay, Henri Brouquet, Bryan Shaughnessy, and Julian Thomas. "An Investigation of Statistical Visualisation Techniques for Thermal Applications." In 40th International Conference on Environmental Systems. American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-6086.

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Butters, T. D., T. J. Sharpe, S. Guttel, and J. L. Shapiro. "Statistical cluster analysis and visualisation for alarm management configuration." In Asset Management Conference 2014. Institution of Engineering and Technology, 2014. http://dx.doi.org/10.1049/cp.2014.1027.

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Brebric, Marina, Mihaela Vranic, and Damir Pintar. "Streamlining visualisation of geographical data through statistical programming tools." In 2018 First International Colloquium on Smart Grid Metrology (SmaGriMet). IEEE, 2018. http://dx.doi.org/10.23919/smagrimet.2018.8369853.

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Unger, Andrea, Phillip Muigg, Helmut Doleisch, and Heidrun Schumann. "Visualizing Statistical Properties of Smoothly Brushed Data Subsets." In 2008 12th International Conference Information Visualisation (IV). IEEE, 2008. http://dx.doi.org/10.1109/iv.2008.29.

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Henderson, Hatold. "Visualizing data with dynamic graphics in excel." In Statistics Education and the Communication of Statistics. International Association for Statistical Education, 2005. http://dx.doi.org/10.52041/srap.05204.

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Data Visualisation tools provide deep insight into the structure of data. Dynamic statistical graphics are now widely available in many statistical packages, and even in Excel. I will give examples of the use of dynamic statistical graphics in statistical practice using Excel. Using such techniques, the internally assessed components of NCEA statistics can be presented by students in ways which are relevant, up-to-date and easy to understand.

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Rapports d'organisations sur le sujet "Statistical visualisation"

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Gruber, Peter. Using ChatGPT for Advanced Data Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/pmgm4wmm7ffer469.

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This workshop teaches researchers, from PhD students to professors, how to use ChatGPT and its Advanced Data Analytics tool for statistical analysis without writing a line of code or even knowing how to use a statistics program. The seminar covers a range of topics from data preparation and descriptive statistics to regression analysis, advanced statistical tests and visualisation. Special emphasis is placed on understanding the workings and limits of AI models such as ChatGPT and reflecting on its implications for data analysis.

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Zhan, Peng. Statistical Analysis and Data Visualization in R. Instats Inc., 2022. http://dx.doi.org/10.61700/dizyg5iq1mqj5469.

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This seminar provides a gentle introduction to R for those looking to use it for applied statistics and visualisation, covering a range of essential topics on basic data manipulation, regression analysis, and visualizing data and results. Examples from multiple fields are used to demonstrate the applications. An official Instats certificate of completion is provided at the conclusion of the seminar.

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Gruber, Peter H. Using ChatGPT for Advanced Data Analysis. Instats Inc., 2023. http://dx.doi.org/10.61700/zqir2dzchct5b469.

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This 2-day workshop teaches researchers, from PhD students to professors, how to use ChatGPT and its Advanced Data Analytics tool for statistical analysis without writing a line of code or even knowing how to use a statistics program. The seminar covers a range of topics from data preparation and descriptive statistics to regression analysis, advanced statistical tests and visualisation. Special emphasis is placed on understanding the workings and limits of AI models such as ChatGPT and reflecting on its implications for data analysis.

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Gruber, Peter. Using ChatGPT for Advanced Data Analysis 2.0. Instats Inc., 2023. http://dx.doi.org/10.61700/txvjolg6id2hj469.

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This 2-day workshop (specifically tailored for the Australian/Asian and US West coast time zones) is aimed at non-statisticians who have to perform data analysis in their work or research. It teaches how to use ChatGPT for statistical analysis without having to know a statistics program or writing a single line of code. The seminar covers a range of topics from data preparation and descriptive statistics to regression analysis, advanced statistical tests and visualisation. Special emphasis is placed on understanding the workings and limits of AI models such as ChatGPT and reflecting on its imp

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Pălici, Bogdan, Alin Savu, Maria Trifon, et al. Mapping - Interactive Tool for Exploring Statistical Data about Cultural Infrastructure in Romania. National Institute for Cultural Research and Training, 2021. http://dx.doi.org/10.61789/mod.cdi.crtg.en.21.

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The Cartographic Module is an instrument for data selection, structuring, visualisation and analysis. It provides for multiple selection functionalities both at geographical area level (county, locality) and at data level (category of indicators and indicators). Three types of dynamic graphs are available on the indicator pages: comparison/evolution, ranking and frequency.

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Meloncelli, Daniel. Preparing and Exploring Data in SPSS (Free Seminar). Instats Inc., 2025. https://doi.org/10.61700/s4pwgrz7xuv2h1479.

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This seminar provides hands-on training in SPSS, with a focus on essential data analysis techniques. You will learn to import and define data, recode and group variables, generate descriptive statistics, create visualisations, and conduct assumption tests. Through guided exercises and practical examples, this session will help you to apply SPSS tools effectively, ensuring your data is analysis-ready and your results are robust.

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McCarthy, Noel, Eileen Taylor, Martin Maiden, et al. Enhanced molecular-based (MLST/whole genome) surveillance and source attribution of Campylobacter infections in the UK. Food Standards Agency, 2021. http://dx.doi.org/10.46756/sci.fsa.ksj135.

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This human campylobacteriosis sentinel surveillance project was based at two sites in Oxfordshire and North East England chosen (i) to be representative of the English population on the Office for National Statistics urban-rural classification and (ii) to provide continuity with genetic surveillance started in Oxfordshire in October 2003. Between October 2015 and September 2018 epidemiological questionnaires and genome sequencing of isolates from human cases was accompanied by sampling and genome sequencing of isolates from possible food animal sources. The principal aim was to estimate the co

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