Information visualization.

Readings in information visualization :using vision to think / by: (Language materials, printed)

Data visualization :principles and practice / by: (Language materials, printed)

The visualization handbook / by: (Language materials, printed)

Multimedia explorations in urban policy and planningbeyond the flatlands / by: (Electronic resources)

The craft of information visualization :readings and reflections / by: (Language materials, printed)

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

Visualizing timedesigning graphical representations for statistical data / by: (Electronic resources)

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

A visual guide to Stata graphics / by: (Language materials, printed)

Computational social networksmining and visualization / by: (Electronic resources)

Graph data managementtechniques and applications / by: (Electronic resources)

The craft of information visualizationreadings and reflections / by: (Electronic resources)

Metaphor and the historicalevolution of conceptual mapping / by: (Electronic resources)

Information visualizationperception for design / by: (Electronic resources)

Computer and machine visiontheory, algorithms, practicalities / by: (Electronic resources)

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

The visual organization :data visualization, big data, and the quest for better decisions / by: (Language materials, printed)

Scripting reading motions :the codex and the computer as self-reflexive machines / by: (Language materials, printed)

Pentaho Analytics for MongoDB :combine Pentaho Analytics and MongoDB to create powerful analysis and reporting solutions / by: (Language materials, printed)

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

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

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)

Scientific visualizationuncertainty, multifield, biomedical, and scalable visualization / by: (Language materials, printed)

Information visualizationan introduction / by: (Electronic resources)

Visual data mining :the VisMiner approach / by: (Language materials, printed)

Making sense of data II :a practical guide to data visualization, advanced data mining methods, and applications / by: (Language materials, printed)

Making sense of data III :a practical guide to designing interactive data visualizations / by: (Language materials, printed)

Impact of visual simulations in statisticsthe 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)

Visual data miningthe VisMiner approach / by: (Electronic resources)

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

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

Multidimensional data visualization :methods and applications / by: (Language materials, printed)

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)

Practical D3.js by: (Electronic resources)

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

Data fluencyempowering your organization with effective data communication / by: (Electronic resources)

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

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

Introduction to text visualization 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 Ra practical, step-by-step guide to learning business analytics / by: (Electronic resources)

Learn ggplot2 using shiny app by: (Electronic resources)

Pro Tableaua step-by-step guide / by: (Electronic resources)

Data visualisation with R100 examples / by: (Electronic resources)

Visualizing financial data by: (Electronic resources)

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

Topological methods in data analysis and visualization IVtheory, algorithms, and applications / by: (Electronic resources)

Audio visualization using ThMADrealtime graphics rendering for Ubuntu Linux / by: (Electronic resources)

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

Visual design of GraphQL dataa practical introduction with legacy data and Neo4j / by: (Electronic resources)

Graph data managementfundamental issues and recent developments / by: (Electronic resources)

Immersive analytics by: (Electronic resources)

Data visualization :charts, maps, and interactive graphics / 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 visualisation with R111 examples / by: (Electronic resources)

Visualization analysis & design / by: (Language materials, printed)

Introduction to data science :data analysis and prediction algorithms with R / by: (Language materials, printed)

Leaders and innovators :how data-driven organizations are winning with analytics / by: (Language materials, printed)

Data visualization and statistical literacy for open and big data / by: (Language materials, printed)

Knowledge graphsmethodology, tools and selected use cases / by: (Electronic resources)

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

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

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

Information designresearch and practice / by: (Electronic resources)

Foundations of data visualization by: (Electronic resources)

Visual analytics for data scientists by: (Electronic resources)

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

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

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

Data visualizationtrends and challenges toward multidisciplinary perception / by: (Electronic resources)

Hands on with Google Data Studio :a data citizen's survival guide / by: (Language materials, printed)

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

Google Data Studio for beginnersstart making your data actionable / by: (Electronic resources)

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

Making images with mathematics by: (Electronic resources)

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

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

Information visualizationperception for design / by: (Electronic resources)

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

Adaptive and personalized visualization by: (Electronic resources)

Linked data visualizationtechniques, tools, and big data / 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 IntelligenceFoundations, Applications and Challenges / edited by Ilaria Tiddi, Freddy Lecue and Pascal Hitzler. by: (Electronic resources)

Data visualizationcharts, maps and interactive graphics / by: (Electronic resources)

The practitioner's guide to graph data / by: (Language materials, printed)

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

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

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

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

Visual question answeringfrom theory to application / by: (Electronic resources)

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

Multilayer networksanalysis and visualization : introduction to muxViz with R / by: (Electronic resources)

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

Visual thinking for information design by: (Electronic resources)

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

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

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

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

Figureconcept and method / by: (Electronic resources)

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

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

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

Visualizing marketingfrom abstract to intuitive / by: (Electronic resources)

Applying AI-based IoT systems to simulation-based information retrieval 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)

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

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

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

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

Telling stories with data :with applications in R / by: (Language materials, printed)

An introduction to knowledge graphs by: (Electronic resources)

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

Getting (more out of) graphics :practice and principles of data visualisation / by: (Language materials, printed)

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

Enhancing biomedical educationintegrating digital visualization and 3D technologies / by: (Electronic resources)

Foundations of data science with Python / by: (Language materials, printed)

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

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