Information visualization.
Overview
Works: | 130 works in 82 publications in 82 languages |
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Titles
Visual statistics :seeing data with dynamic interactive graphics /
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From Integrated Publication and Information Systems to Information and Knowledge EnvironmentsEssays Dedicated to Erich J. Neuhold on the Occasion of His 65th Birthday /
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Visualization for Computer Security5th International Workshop, VizSec 2008, Cambridge, MA, USA, September 15, 2008. Proceedings /
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Multimedia explorations in urban policy and planningbeyond the flatlands /
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The craft of information visualization :readings and reflections /
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Visualizing timedesigning graphical representations for statistical data /
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The visual organization :data visualization, big data, and the quest for better decisions /
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Scripting reading motions :the codex and the computer as self-reflexive machines /
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Pentaho Analytics for MongoDB :combine Pentaho Analytics and MongoDB to create powerful analysis and reporting solutions /
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Visualization and processing of tensors and higher order descriptors for multi-valued data
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Packaging digital information for enhanced learning and analysis :data visualization, spatialization, and multidimensionality /
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Perceptions of knowledge visualization :explaining concepts through meaningful images /
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Scientific visualizationuncertainty, multifield, biomedical, and scalable visualization /
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Making sense of data II :a practical guide to data visualization, advanced data mining methods, and applications /
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Making sense of data III :a practical guide to designing interactive data visualizations /
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Impact of visual simulations in statisticsthe role of interactive visualizations in improving statistical knowledge /
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Handbook of research on maximizing cognitive learning through knowledge visualization /
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Visualization and processing of higher order descriptors for multi-valued data
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A 3D visualization teaching-learning trajectory for elementary grades children
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Data fluencyempowering your organization with effective data communication /
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Storytelling with dataa data visualization guide for business professionals /
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High impact data visualization in Excel with Power View, 3D Maps, Get & Transform and Power BI
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Learn business analytics in six steps using SAS and Ra practical, step-by-step guide to learning business analytics /
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Topological methods in data analysis and visualization IVtheory, algorithms, and applications /
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Audio visualization using ThMADrealtime graphics rendering for Ubuntu Linux /
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Visual design of GraphQL dataa practical introduction with legacy data and Neo4j /
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Information visualization techniques in the social sciences and humanities
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Introduction to data science :data analysis and prediction algorithms with R /
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Leaders and innovators :how data-driven organizations are winning with analytics /
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Data visualization and statistical literacy for open and big data /
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Prepare your data for tableaua practical guide to the tableau data prep tool /
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PolyBase revealeddata virtualization with SQL server, Hadoop, Apache Spark, and beyond /
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Data visualization and knowledge engineeringspotting data points with artificial intelligence /
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Machine learning concepts with Python and the Jupyter Notebook environmentusing Tensorflow 2.0 /
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Advanced analytics in power BI with R and Pythoningesting, transforming, visualizing /
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Data visualizationtrends and challenges toward multidisciplinary perception /
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Hands on with Google Data Studio :a data citizen's survival guide /
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Practical Python data visualizationa fast track approach to learning data visualization with Python /
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Visualizing data in R 4graphics using the base, graphics, stats, and ggplot2 packages /
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MDATAa new knowledge representation model : theory, methods and applications /
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Graphical thinking for science and technology through knowledge visualization
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Knowledge Graphs for eXplainable Artificial IntelligenceFoundations, Applications and Challenges / edited by Ilaria Tiddi, Freddy Lecue and Pascal Hitzler.
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Pro data visualization using R and Javascriptanalyze and visualize key data on the web /
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A concise introduction to scientific visualizationpast, present, and future /
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Integrating artificial intelligence and visualization for visual knowledge discovery
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Multilayer networksanalysis and visualization : introduction to muxViz with R /
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Data visualization for social and policy researcha step-by-step approach using R and Python /
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Test data engineeringlatent rank analysis, biclustering, and Bayesian network /
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Getting started with Grafanareal-time dashboards for IT and business operations /
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Practical data science with Jupyterexplore data cleaning, pre-processing, data wrangling, feature engineering and machine learning using Python and Jupyter /
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Python data visualization essentials guidebecome a data visualization expert by building strong proficiency in Pandas, Matplotlib, Seaborn, Plotly, Numpy, and Bokeh /
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Biomedical visualisation.Volume 15,Visualisation in teaching of biomedical and clinical subjects : anatomy, advanced microscopy and radiology
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Biomedical visualisation.Volume 13,The art, philosophy and science of observation and imaging
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Biomedical visualisation.Volume 14,COVID-19 technology and visualisation adaptations for biomedical teaching
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Visual data insights using SAS ODS graphicsa guide to communication-effective data visualization /
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Biomedical visualisation.Volume 16,Digital visualisation in biomedical education
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