大葉大學圖書館 |

Works:	52 works in 37 publications in 37 languages

Titles

Microsoft SQL Server 2008 R2 analytics & data visualization / by: (Language materials, printed)

Visualizing time[electronic resource] :designing graphical representations for statistical data / by: (Language materials, printed)

Expanding the frontiers of visual analytics and visualization[electronic resource] / by: (Language materials, printed)

Graph data management[electronic resource] :techniques and applications / by: (Language materials, printed)

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

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

Information visualization[electronic resource] :perception for design / by: (Language materials, printed)

Computer and machine vision[electronic resource] :theory, algorithms, practicalities / by: (Language materials, printed)

Data insights[electronic resource] :new ways to visualize and make sense of data / by: (Language materials, printed)

Innovative approaches of data visualization and visual analytics / by: (Language materials, printed)

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

Perceptions of knowledge visualization :explaining concepts through meaningful images / by: (Language materials, printed)

High impact data visualization with Power View, Power Map, and Power BI[electronic resource] / by: (Language materials, printed)

Visualization and processing of tensors and higher order descriptors for multi-valued data[electronic resource] / by: (Language materials, printed)

Impact of visual simulations in statistics[electronic resource] :the role of interactive visualizations in improving statistical knowledge / by: (Language materials, printed)

New challenges for data design[electronic resource] / by: (Language materials, printed)

Enhancing qualitative and mixed methods research with technology / by: (Language materials, printed)

Handbook of research on maximizing cognitive learning through knowledge visualization / by: (Language materials, printed)

Visual data mining[electronic resource] :the VisMiner approach / by: (Language materials, printed)

Visualization and processing of higher order descriptors for multi-valued data[electronic resource] / by: (Language materials, printed)

SAS programming and data visualization techniques[electronic resource] :a power user's guide / by: (Language materials, printed)

Numeric computation and statistical data analysis on the Java platform[electronic resource] / by: (Language materials, printed)

A 3D visualization teaching-learning trajectory for elementary grades children[electronic resource] / by: (Language materials, printed)

Adaptive semantics visualization[electronic resource] / by: (Language materials, printed)

Building responsive data visualization for the Web[electronic resource] / by: (Electronic resources)

Data fluency[electronic resource] :empowering your organization with effective data communication / by: (Electronic resources)

JavaScript and jQuery for data analysis and visualization[electronic resource] / by: (Electronic resources)

Storytelling with data[electronic resource] :a data visualization guide for business professionals / by: (Electronic resources)

Practical D3.js[electronic resource] / by: (Electronic resources)

Introduction to text visualization[electronic resource] / by: (Electronic resources)

Graphic recording :live illustrations for meetings, conferences and workshops / by: (Language materials, printed)

Effective data visualization :the right chart for the right data / by: (Language materials, printed)

High impact data visualization in Excel with Power View, 3D Maps, Get & Transform and Power BI[electronic resource] / by: (Language materials, printed)

Learn ggplot2 using shiny app[electronic resource] / by: (Language materials, printed)

Visual storytelling :infographic design in news / by: (Language materials, printed)

Interactive GPU-based Visualization of Large Dynamic Particle Data[electronic resource] / by: (Electronic resources)

Information graphics / by: (Language materials, printed)

Food & drink infographics / by: (Language materials, printed)

Data visualization and statistical literacy for open and big data[electronic resource] / by: (Electronic resources)

Information design[electronic resource] :research and practice / by: (Electronic resources)

Information visualization techniques in the social sciences and humanities[electronic resource] / by: (Electronic resources)

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

Data visualization with Excel dashboards and reports[electronic resource] / by: (Electronic resources)

Graphical thinking for science and technology through knowledge visualization[electronic resource] / by: (Electronic resources)

Describing nature through visual data[electronic resource] / by: (Electronic resources)

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

Data visualization[electronic resource] :charts, maps and interactive graphics / by: (Electronic resources)

Adaptive and personalized visualization[electronic resource] / by: (Electronic resources)

Linked data visualization[electronic resource] :techniques, tools, and big data / by: (Electronic resources)

Applying AI-based IoT systems to simulation-based information retrieval[electronic resource] / by: (Electronic resources)

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

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

Information visualization.