Information visualization.
Overview
Works: | 128 works in 74 publications in 74 languages |
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Titles
Think globally, act regionally : = GIS and data visualization for social science and public policy research /
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(Language materials, printed)
Visual statistics : = seeing data with dynamic interactive graphics /
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(Language materials, printed)
Think globally, act regionally : = GIS and data visualization for social science and public policy research /
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(Language materials, printed)
From Integrated Publication and Information Systems to Information and Knowledge Environments = Essays Dedicated to Erich J. Neuhold on the Occasion of His 65th Birthday/
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Multimedia explorations in urban policy and planning = beyond the flatlands /
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Visualizing time = designing graphical representations for statistical data /
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(Electronic resources)
Visualization and processing of tensors and higher order descriptors for multi-valued data
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Perceptions of knowledge visualization : = explaining concepts through meaningful images /
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(Electronic resources)
Scientific visualization = uncertainty, multifield, biomedical, and scalable 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 fluency = empowering your organization with effective data communication /
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Storytelling with data = a 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 R = a practical, step-by-step guide to learning business analytics /
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Data visualization toolkit : = using JavaScript, Rails, and Postgres to present data and geospatial information /
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Information visualization in data mining and knowledge discovery /
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Practical Python data visualization = a fast track approach to learning data visualization with Python /
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MDATA = a new knowledge representation model : theory, methods and applications /
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Visualizing data in R 4 = graphics using the base, graphics, stats, and ggplot2 packages /
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Integrating D3.js with React = learn to bring data visualization to life /
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Graphical thinking for science and technology through knowledge visualization
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Advanced analytics in power BI with R and Python = ingesting, transforming, visualizing /
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Multilayer networks = analysis and visualization : introduction to muxViz with R /
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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 graphics = a guide to communication-effective data visualization /
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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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Python data visualization essentials guide = become a data visualization expert by building strong proficiency in Pandas, Matplotlib, Seaborn, Plotly, Numpy, and Bokeh /
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Visualization for Computer Security = 5th International Workshop, VizSec 2008, Cambridge, MA, USA, September 15, 2008. Proceedings /
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Multimedia explorations in urban policy and planning : = beyond the flatlands /
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(Language materials, printed)
Two-dimensional information theory and coding : = with application to graphics and high-density storage media /
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Packaging digital information for enhanced learning and analysis : = data visualization, spatialization, and multidimensionality /
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(Language materials, printed)
Packaging digital information for enhanced learning and analysis : = data visualization, spatialization, and multidimensionality /
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(Electronic resources)
Impact of visual simulations in statistics = the 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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SAS programming and data visualization techniques = a power user's guide /
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Visual journalism : = infographics from the world's best newsrooms and designers /
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Audio visualization using ThMAD = realtime graphics rendering for Ubuntu Linux /
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Learning Tableau 2019 : = tools for business intelligence, data prep, and visual analytics /
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(Language materials, printed)
Information visualization techniques in the social sciences and humanities
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Data visualization and knowledge engineering = spotting data points with artificial intelligence /
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Prepare your data for tableau = a practical guide to the tableau data prep tool /
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PolyBase revealed = data virtualization with SQL server, Hadoop, Apache Spark, and beyond /
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Machine learning concepts with Python and the Jupyter Notebook environment = using Tensorflow 2.0 /
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Knowledge Graphs for eXplainable Artificial Intelligence = Foundations, Applications and Challenges / edited by Ilaria Tiddi, Freddy Lecue and Pascal Hitzler.
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Data visualization = trends and challenges toward multidisciplinary perception /
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Pro data visualization using R and Javascript = analyze and visualize key data on the web /
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A concise introduction to scientific visualization = past, present, and future /
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Integrating artificial intelligence and visualization for visual knowledge discovery
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Test data engineering = latent rank analysis, biclustering, and Bayesian network /
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Getting started with Grafana = real-time dashboards for IT and business operations /
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Biomedical visualisation.. Volume 13,. The art, philosophy and science of observation and imaging
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Data visualization for social and policy research = a step-by-step approach using R and Python /
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Biomedical visualisation.. Volume 16,. Digital visualisation in biomedical education
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