Language: English

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Visual analytics.

Overview

Works:	21 works in 15 publications in 15 languages

Titles

Visual Data Mining = Theory, Techniques and Tools for Visual Analytics / by: (Language materials, printed)

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

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

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

Movie analytics = a Hollywood introduction to big data / by: (Electronic resources)

Beginning power BI = a practical guide to self-service data analytics with Excel 2016 and Power BI desktop / by: (Electronic resources)

Big data and visual analytics by: (Electronic resources)

Beginning Microsoft Power BI = a practical guide to self-service data analytics / by: (Electronic resources)

Contemporary strategies and approaches in 3-D information modeling by: (Electronic resources)

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

Subjects

Information visualization.

Image Processing and Computer Vision.

Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.

Information visualization- Computer programs.

Visualization.

Three-dimensional display systems.

Marketing.

Business Strategy/Leadership.

Data Structures and Information Theory.

Data mining- Computer programs.

Graphic arts.

History of Computing.

Data Analysis and Big Data.

Motion pictures- Philosophy.

Microsoft Excel (Computer file)

Business and Management.

Information Systems and Communication Service.

Careers in Business and Management.

Pattern Recognition.

Decision making.

Data mining.

Visual analytics.

Computer Graphics.

Business intelligence- Computer programs.

Knowledge Management.

Artificial Intelligence (incl. Robotics)

Microsoft Power BI (Computer file)

Professional Computing.

Visual communication.

Information Storage and Retrieval.

User Interfaces and Human Computer Interaction.

Data mining- Graphic methods.

R (Computer program language)

Building information modeling.

Computer graphics.

Data Mining and Knowledge Discovery.

Microsoft PowerPivot (Computer file)

Business- Data processing.

Big Data.

Computational Intelligence.

Microsoft.

Business Analytics.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Big data.

Google.

Google Apps.

Artificial Intelligence.

Machine Learning.

Digital Marketing.

Computer Science.

Statistics.

Microsoft and .NET.

Marketing- Data processing.

Computer Applications.

Big Data/Analytics.

Artificial intelligence.

Dashboards (Management information systems)

Business Strategy and Leadership.