Information visualization

When you picture human-data interactions (HDI), what comes to mind?

A practical guide to getting the most out of Excel, using it for data preparation, applying machine learning models (including cloud services) and understanding the outcome of the data analysis.

Leverage the power of Tableau 2019.

Microsoft Power BI is a data analytics and visualization tool powerful enough for the most demanding data scientists, but accessible enough for everyday use for anyone who needs to get more from data.

There is ample evidence in the visualization community that individual differences matter.

Visualization research aims to provide insight into large, complicated data sets and the phenomena behind them.

Build powerful data analytics applications with this business intelligence tool and overcome all your business challengesKey FeaturesMaster time-saving techniques and make your QlikView development more efficientPerform geographical analysis and sentiment analysis in your QlikView applicationsExplore advanced QlikView techniques, tips, and tricks to deliver complex business requirementsBook DescriptionQlikView is one of the most flexible and powerful business intelligence platforms around, and if you want to transform data into insights, it is one of the best options you have at hand.

This book explores the role of embedded AI in revolutionizing industries such as healthcare, transportation, manufacturing, and retail.

Preface to the First Edition This textbook is an introduction to Scienti?

Learn how to quickly generate business intelligence, insights and create interactive dashboards for digital storytelling through various data sources with RedashKey FeaturesLearn the best use of visualizations to build powerful interactive dashboardsCreate and share visualizations and data in your organizationWork with different complexities of data from different data sourcesBook DescriptionData exploration and visualization is vital to Business Intelligence, the backbone of almost every enterprise or organization.

Recent years have seen dramatic progress in shape recognition algorithms applied to ever-growing image databases.

Writing Virtual Environments for Software Visualization book describes the software for a networked, 3D multi-user virtual environment that allows users to create and share remotely visualizations of program behavior.

Turbocharge your marketing plans by making the leap from simple descriptive statistics in Excel to sophisticated predictive analytics with the Python programming languageKey FeaturesUse data analytics and machine learning in a sales and marketing contextGain insights from data to make better business decisionsBuild your experience and confidence with realistic hands-on practiceBook DescriptionUnleash the power of data to reach your marketing goals with this practical guide to data science for business.

This book focuses on the application of virtual reality (VR) technology in mining machinery.

Create dynamic dashboards to perform interactive analytics for business intelligence operationsKey FeaturesExplore newly added features in Qlik SenseDiscover best practices to work with data using Qlik SenseLearn to implement advanced functions for better data insightBook DescriptionQlik Sense allows you to explore simple and complex data to reveal hidden insight and data relationships that help you make quality decisions for overall productivity.

Discover the use of graph networks to develop a new approach to data science using theoretical and practical methods with this expert guide using Python, printed in colorKey FeaturesCreate networks using data points and informationLearn to visualize and analyze networks to better understand communitiesExplore the use of network data in both - supervised and unsupervised machine learning projectsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionNetwork analysis is often taught with tiny or toy data sets, leaving you with a limited scope of learning and practical usage.

Distance metrics and distances have become an essential tool in many areas of pure and applied Mathematics, and this encyclopedia is the first one to treat the subject in full.

Clifford algebra for dual quaternions has emerged recently as an alternative to standard matrix algebra as a computational framework for computer graphics.

Dieser Buchtitel ist Teil des Digitalisierungsprojekts Springer Book Archives mit Publikationen, die seit den Anfängen des Verlags von 1842 erschienen sind.

Personalized and adaptive systems employ user models to adapt content, services, interaction or navigation to individual users' needs.

Learn advanced techniques and improve your audio visualization skills with Thinking Machine Audio Dreams (ThMAD).

This book presents a comprehensive overview of Structural Equation Modeling and how it can be applied to address research issues in different disciplines.

Customized Production Through 3D Printing in Cloud Manufacturing explains how to combine the latest cloud manufacturing and additive manufacturing technology to find innovative solutions to important problems in research and industry.

This book provides a practical and comprehensive introduction to computational problem solving from the viewpoints of practitioners in both academic and industrial worlds.

This book discusses semantic interaction, a user interaction methodology for visual analytic applications that more closely couples the visual reasoning processes of people with the computation.

Applying Color Theory to Digital Media and Visualization provides an overview of the application of color theory concepts to digital media and visualization.

Interactive visualization and visual analytics tools have been designed and developed in the past and will be developed in the future as well.

Virtual Reality is not real life.

This application-oriented work concerns the design of efficient, robust and reliable algorithms for the numerical simulation of multiscale phenomena.

This book explores visualization and imputation techniques for missing values and presents practical applications using the statistical software R.

This edited book explores the breadth of approaches undertaken by scientists, artists and communicators in their crucial role making science accessible, engaging and impactful.

Build and backtest your algorithmic trading strategies to gain a true advantage in the marketKey FeaturesGet quality insights from market data, stock analysis, and create your own data visualisationsLearn how to navigate the different features in Python's data analysis librariesStart systematically approaching quantitative research and strategy generation/backtesting in algorithmic tradingBook DescriptionCreating an effective system to automate your trading can help you achieve two of every trader's key goals; saving time and making money.

The authors present tools and concepts of multivariate data analysis by means of exercises and their solutions.

Create and publish your own interactive data visualization projects on the web?

What happens when a researcher and a practitioner spend hours crammed in a Fiat discussing data visualization?

This book introduces fundamental concepts and principles of 2D and 3D graphics and is written for undergraduate and postgraduate students of computer science, graphics, multimedia, and data science.

First place winner in Educational Products at the 2021 International Cartographic Conference Maps are ubiquitous, yet maps are not made equally, nor are they read equally.

Modelling and Precision Control of Systems with Hysteresis covers the piezoelectric and other smart materials that are increasingly employed as actuators in precision engineering, from scanning probe microscopes (SPMs) in life science and nano-manufacturing, to precision active optics in astronomy, including space laser communication, space imaging cameras, and the micro-electro-mechanical systems (MEMS).

This book is entirely about triangulations.

This book is a result of a workshop, the 8th of the successful TopoInVis workshop series, held in 2019 in Nykoping, Sweden.

A key element of any modern video codec is the efficient exploitation of temporal redundancy via motion-compensated prediction.

Methods of dimensionality reduction provide a way to understand and visualize the structure of complex data sets.

Dieser Buchtitel ist Teil des Digitalisierungsprojekts Springer Book Archives mit Publikationen, die seit den Anfängen des Verlags von 1842 erschienen sind.

As the first book of a three-part series, this book is offered as a tribute to pioneers in vision, such as Bela Julesz, David Marr, King-Sun Fu, Ulf Grenander, and David Mumford.

Designed with beginners in mind, this workshop helps you make the most of Python libraries and the Jupyter Notebook's functionality to understand how data science can be applied to solve real-world data problems.

Prevalent types of data in scientific visualization are volumetric data, vector field data, and particle-based data.

A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial IntelligenceKey FeaturesLearn to build and run a big data application with sample codeExplore examples to implement activities that a big data architect performsUse Machine Learning and AI for structured and unstructured dataBook DescriptionThe big data architects are the "e;masters"e; of data, and hold high value in today's market.