Information visualization.

A course on the Web graph / by: (Language materials, printed)

Introduction to information visualization by: (Language materials, printed)

Semiology of graphics : = diagrams, networks, maps / by: (Language materials, printed)

Computational social networks = mining and visualization / by: (Electronic resources)

Data points : = visualization that means something / by: (Language materials, printed)

Metaphor and the historical = evolution of conceptual mapping / by: (Electronic resources)

Visualization and processing of tensors and higher order descriptors for multi-valued data by: (Electronic resources)

High impact data visualization with Power View, Power Map, and Power BI by: (Electronic resources)

Scientific visualization = uncertainty, multifield, biomedical, and scalable visualization / by: (Electronic resources)

Visual data mining = the VisMiner approach / by: (Electronic resources)

Visualization and processing of higher order descriptors for multi-valued data by: (Electronic resources)

Visualization and verbalization of data / by: (Language materials, printed)

Graphical data analysis with R / by: (Language materials, printed)

Practical D3.js by: (Electronic resources)

High impact data visualization in Excel with Power View, 3D Maps, Get & Transform and Power BI by: (Electronic resources)

Learn business analytics in six steps using SAS and R = a practical, step-by-step guide to learning business analytics / by: (Electronic resources)

Learn ggplot2 using shiny app by: (Electronic resources)

Data visualisation with R = 100 examples / by: (Electronic resources)

Visual journalism : = infographics from the world's best newsrooms and designers / by: (Language materials, printed)

Data visualization toolkit : = using JavaScript, Rails, and Postgres to present data and geospatial information / by: (Language materials, printed)

Audio visualization using ThMAD = realtime graphics rendering for Ubuntu Linux / by: (Electronic resources)

Technologies of vision : = the war between data and images / by: (Language materials, printed)

Prepare your data for tableau = a practical guide to the tableau data prep tool / by: (Electronic resources)

PolyBase revealed = data virtualization with SQL server, Hadoop, Apache Spark, and beyond / by: (Electronic resources)

Knowledge graphs = methodology, tools and selected use cases / by: (Electronic resources)

Cultural analytics / by: (Language materials, printed)

Practical Python data visualization = a fast track approach to learning data visualization with Python / by: (Electronic resources)

Google Data Studio for beginners = start making your data actionable / by: (Electronic resources)

MDATA = a new knowledge representation model : theory, methods and applications / by: (Electronic resources)

Machine learning concepts with Python and the Jupyter Notebook environment = using Tensorflow 2.0 / by: (Electronic resources)

Integrating D3.js with React = learn to bring data visualization to life / by: (Electronic resources)

Visual analytics for data scientists by: (Electronic resources)

Visual question answering = from theory to application / by: (Electronic resources)

Integrating artificial intelligence and visualization for visual knowledge discovery by: (Electronic resources)

Test data engineering = latent rank analysis, biclustering, and Bayesian network / by: (Electronic resources)

Getting started with Grafana = real-time dashboards for IT and business operations / by: (Electronic resources)

Visual data insights using SAS ODS graphics = a guide to communication-effective data visualization / by: (Electronic resources)

Prototyping Python dashboards for scientists and engineers = build and deploy a complete dashboard with Python / by: (Electronic resources)

Enhancing biomedical education = integrating digital visualization and 3D technologies / by: (Electronic resources)

Visualization of time-oriented data by: (Electronic resources)

Data visualization and analysis in second language research by: (Electronic resources)

Visualization for Information Retrieval by: (Language materials, printed)

Concept mapping for planning and evaluation / by: (Language materials, printed)

Graph data management = techniques and applications / by: (Language materials, printed)

Introduction to text visualization by: (Electronic resources)

Foundations of data science for engineering problem solving by: (Electronic resources)

Hands-on Matplotlib = learn plotting and visualizations with Python 3 / by: (Electronic resources)

Figure = concept and method / by: (Electronic resources)

Visual approaches to instructional design, development, and deployment / by: (Electronic resources)

Biomedical visualisation.. Volume 15,. Visualisation in teaching of biomedical and clinical subjects : anatomy, advanced microscopy and radiology by: (Electronic resources)

Visualizing marketing = from abstract to intuitive / by: (Electronic resources)

Visual analytics for dashboards = a step-by-step guide to principles and practical techniques / by: (Electronic resources)

An introduction to knowledge graphs by: (Electronic resources)

Two-dimensional information theory and coding : = with application to graphics and high-density storage media / by: (Language materials, printed)

Visualizing time = designing graphical representations for statistical data / by: (Electronic resources)

Expanding the frontiers of visual analytics and visualization by: (Electronic resources)

Metaphor and the historical evolution of conceptual mapping / by: (Language materials, printed)

Information visualization = perception for design / by: (Electronic resources)

Computer and machine vision = theory, algorithms, practicalities / by: (Electronic resources)

Data insights = new ways to visualize and make sense of data / by: (Electronic resources)

Packaging digital information for enhanced learning and analysis : = data visualization, spatialization, and multidimensionality / by: (Language materials, printed)

Innovative approaches of data visualization and visual analytics / by: (Electronic resources)

Packaging digital information for enhanced learning and analysis : = data visualization, spatialization, and multidimensionality / by: (Electronic resources)

Perceptions of knowledge visualization : = explaining concepts through meaningful images / by: (Electronic resources)

Information visualization = an introduction / by: (Electronic resources)

Impact of visual simulations in statistics = the role of interactive visualizations in improving statistical knowledge / by: (Electronic resources)

New challenges for data design by: (Electronic resources)

Enhancing qualitative and mixed methods research with technology / by: (Electronic resources)

Handbook of research on maximizing cognitive learning through knowledge visualization / by: (Electronic resources)

SAS programming and data visualization techniques = a power user's guide / by: (Electronic resources)

Numeric computation and statistical data analysis on the Java platform by: (Electronic resources)

A 3D visualization teaching-learning trajectory for elementary grades children by: (Electronic resources)

Adaptive semantics visualization by: (Electronic resources)

Building responsive data visualization for the Web by: (Electronic resources)

Data fluency = empowering your organization with effective data communication / by: (Electronic resources)

JavaScript and jQuery for data analysis and visualization by: (Electronic resources)

Storytelling with data = a data visualization guide for business professionals / by: (Electronic resources)

Data visualisation with R : = 100 examples / by: (Language materials, printed)

Pro Tableau = a step-by-step guide / by: (Electronic resources)

Visualizing financial data / by: (Electronic resources)

Interactive GPU-based Visualization of Large Dynamic Particle Data by: (Electronic resources)

Data visualization and statistical literacy for open and big data by: (Electronic resources)

Learning Tableau 2019 : = tools for business intelligence, data prep, and visual analytics / by: (Language materials, printed)

Computer vision : = principles, algorithms, applications, learning / by: (Electronic resources)

Information visualization techniques in the social sciences and humanities by: (Electronic resources)

Data visualization and knowledge engineering = spotting data points with artificial intelligence / by: (Electronic resources)

Information design = research and practice / by: (Electronic resources)

Information visualization in data mining and knowledge discovery / by: (Language materials, printed)

Visualizing data in R 4 = graphics using the base, graphics, stats, and ggplot2 packages / by: (Electronic resources)

Advanced prognostic predictive modelling in healthcare data analytics by: (Electronic resources)

Making images with mathematics by: (Electronic resources)

Information visualization = perception for design / by: (Electronic resources)

Graphical thinking for science and technology through knowledge visualization by: (Electronic resources)

Describing nature through visual data by: (Electronic resources)

Knowledge Graphs for eXplainable Artificial Intelligence = Foundations, Applications and Challenges / edited by Ilaria Tiddi, Freddy Lecue and Pascal Hitzler. by: (Electronic resources)

Adaptive and personalized visualization by: (Electronic resources)

Linked data visualization = techniques, tools, and big data / by: (Electronic resources)

Data visualization = charts, maps and interactive graphics / by: (Electronic resources)

Foundations of data visualization by: (Electronic resources)

Advanced analytics in power BI with R and Python = ingesting, transforming, visualizing / by: (Electronic resources)

Python for marketing research and analytics by: (Electronic resources)

Data visualization = trends and challenges toward multidisciplinary perception / by: (Electronic resources)

Multilayer networks = analysis and visualization : introduction to muxViz with R / by: (Electronic resources)

Data visualization with category theory and geometry = with a critical analysis and refinement of UMAP / by: (Electronic resources)

Information graphics / by: (Language materials, printed)

Handbook of Data Visualization by: (Language materials, printed)

Visualization for Computer Security = 5th International Workshop, VizSec 2008, Cambridge, MA, USA, September 15, 2008. Proceedings / by: (Language materials, printed)

Trends in interactive visualization = state-of-the-art survey / by: (Language materials, printed)

Multimedia explorations in urban policy and planning : = beyond the flatlands / by: (Language materials, printed)

Multimedia explorations in urban policy and planning = beyond the flatlands / by: (Language materials, printed)

The craft of information visualization = readings and reflections / by: (Electronic resources)

Graphesis : = visual forms of knowledge production / by: (Language materials, printed)

Pro data visualization using R and Javascript = analyze and visualize key data on the web / by: (Electronic resources)

A concise introduction to scientific visualization = past, present, and future / by: (Electronic resources)

Visual thinking for information design by: (Electronic resources)

Data visualization with Excel dashboards and reports by: (Electronic resources)

Biomedical visualisation.. Volume 13,. The art, philosophy and science of observation and imaging by: (Electronic resources)

Biomedical visualisation.. Volume 14,. COVID-19 technology and visualisation adaptations for biomedical teaching by: (Electronic resources)

Data visualization for social and policy research = a step-by-step approach using R and Python / by: (Electronic resources)

Biomedical visualisation.. Volume 16,. Digital visualisation in biomedical education by: (Electronic resources)

In situ visualization for computational science by: (Electronic resources)

Applying AI-based IoT systems to simulation-based information retrieval by: (Electronic resources)

Practical data science with Jupyter = explore data cleaning, pre-processing, data wrangling, feature engineering and machine learning using Python and Jupyter / by: (Electronic resources)

Python data visualization essentials guide = become a data visualization expert by building strong proficiency in Pandas, Matplotlib, Seaborn, Plotly, Numpy, and Bokeh / by: (Electronic resources)