Multidimensional Data Visualization

A good visualization can communicate the nature and potential impact of ideas more powerfully than any other form of communication.For a long time, "dataviz" was left to specialists--data scientists a

Digital methodologies, new forms of data visualization and computer-based learning and assessment are creating new challenges as well as opportunities for scholars in educational research. The World Y

Data Visualization Made Simple is a practical guide to the fundamentals, strategies, and real-world cases for data visualization, an essential skill required in today’s information-rich world. With fo

This comprehensive textbook teaches the fundamentals of database design, modeling, systems, data storage, and the evolving world of data warehousing, governance and more. Written by experienced educators and experts in big data, analytics, data quality, and data integration, it provides an up-to-date approach to database management. This full-color, illustrated text has a balanced theory-practice focus, covering essential topics, from established database technologies to recent trends, like Big Data, NoSQL, and more. Fundamental concepts are supported by real-world examples, query and code walkthroughs, and figures, making it perfect for introductory courses for advanced undergraduates and graduate students in information systems or computer science. These examples are further supported by an online playground with multiple learning environments, including MySQL, MongoDB, Neo4j Cypher, and tree structure visualization. This combined learning approach connects key concepts throughout th

Create compelling business infographics with SAS® and familiar office productivity tools.A picture is worth a thousand words, but what if there are a billion words? When analyzing big data, you need a

This book examines how computer-based programs can be used to acquire ‘big’ digital cultural heritage data, curate, and disseminate it over the Internet and in 3D visualization platforms with the ulti

D3 allows developers to create scalable graphs for any modern browser. They start with a structure, dataset, or algorithm and programmatically generate static, interactive, or animated images that res

Social media is an invaluable source of time-critical information during a crisis. However, emergency response and humanitarian relief organizations that would like to use this information struggle with an avalanche of social media messages that exceeds the human capacity to process. Emergency managers, decision makers, and affected communities can make sense of social media through a combination of machine computation and human compassion - expressed by thousands of digital volunteers who publish, process, and summarize potentially life-saving information. This book brings together computational methods from many disciplines: natural language processing, semantic technologies, data mining, machine learning, network analysis, human-computer interaction, and information visualization, focusing on methods that are commonly used for processing social media messages under time-critical constraints, and offering more than 500 references to in-depth information.

Incorporating an innovative focus on data visualization and time series forecasting,Data Mining for Business Intelligence supplies insightful, detailed guidance on fundamental data mining techniques.

A good visualization can communicate the nature and potential impact of ideas more powerfully than any other form of communication.For a long time, dataviz” was left to specialistsdata scientists and

This successful book provides in its second edition an interactive and illustrative guide from two-dimensional curve fitting to multidimensional clustering and machine learning with neural networks or

Information visualization is a language. Like any language, it can be used for multiple purposes. A poem, a novel, and an essay all share the same language, but each one has its own set of rules. The

Big Data is about the collection, storage, search, distribution, statistical analysis and visualization of large amounts of data. This is especially relevant in healthcare management, as the amount of

Big Data Application Architecture Pattern Recipes provides an insight into heterogeneous infrastructures, databases, and visualization and analytics tools used for realizing the architectures of big d

Tableau Your Data! is a comprehensive guide to the effective use of the Tableau Software toolset for data visualization. It covers the core feature set for data analytics, illustrating best practic

So much data is being generated these days that scientists spend a lot of time on such matters as where to store it, how to access it, or how to move it to visualization or computer resources for furt

This volume presents theories, models, algorithms, and applications in clustering, classification, and visualization. It also includes applications of clustering, classification, and visualization in

Marketing analysts use data mining techniques to gain a reliable understanding of customer buying habits and then use that information to develop new marketing campaigns and products. Visual mining to

Business Statistics: Communicating with Numbers takes a comprehensive and contemporary approach that aims to bridge the gap between how statistics is taught and applied in the business world. This title not only prepares students in basic statistics but also gets them excited about further exploration of data analytics. The authors emphasize communicating with numbers rather than number crunching, through relatable case studies with relevant statistical methods and takeaways. This title incorporates timely examples from various fields, reinforces core features from previous editions, uses Excel and R to analyze data and solve problems, and includes new improvements, such as a revised chapter on data visualization, an exclusive chapter on logistic regression, and digital enhancements such as a big data capstone project with algorithmic exercises that span across multiple chapters.

This volume covers the latest techniques used to study single nucleotide polymorphisms (SNP) genotyping, such as Sanger sequencing, qPCR, Nanopore sequencing, and PACE. The chapters in this book cover topics such as SNP nomenclature, databases, and significance of SNPs in various fields; PCR-based techniques like HRM and CD-PCR; isothermal amplification methodologies; high-throughput methods like FCS-based SNP genotyping; and guidance of data analysis, emphasizing the importance of quality control, statistical analysis, and visualization. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Genotyping: Methods and Protocols is a valuable resource for both new and experienced researchers who want to gain a deeper underst

在全球致力實踐永續發展教育的此時，臺灣社會與環境的真實運作能否落實聯合國SDGs的17項目標？各永續目標之間的交互作用現況又是如何？適逢108課綱推行高中加深加廣課程的契機，本書教師團隊研發應用空間資訊科技進行社會環境議題探究與實作的整合型教案，帶領高中學生投身真實世界的永續發展議題，經歷目標與現實的可能衝突情境，對重要而錯綜複雜的社會環境議題進行深度學習與理解，並學會善用免費的地理資訊開源軟體QGIS，取用各類透明公開的「政府開放資料」（Open Data）或自願性地理資訊（Volunteered Geographic Information, VGI）處理分析，提出具科學性及可視化（Visualization）的有力論據，適切表達空間觀點和主張。

在全球致力實踐永續發展教育的此時，臺灣社會與環境的真實運作能否落實聯合國SDGs的17項目標？各永續目標之間的交互作用現況又是如何？適逢108課綱推行高中加深加廣課程的契機，本書教師團隊研發應用空間資訊科技進行社會環境議題探究與實作的整合型教案，帶領高中學生投身真實世界的永續發展議題，經歷目標與現實的可能衝突情境，對重要而錯綜複雜的社會環境議題進行深度學習與理解，並學會善用免費的地理資訊開源軟體QGIS，取用各類透明公開的「政府開放資料」（Open Data）或自願性地理資訊（Volunteered Geographic Information, VGI）處理分析，提出具科學性及可視化（Visualization）的有力論據，適切表達空間觀點和主張。

Develop the analytical skills that are in high demand in businesses today with Camm/Cochran/Fry/Ohlmann's best-selling BUSINESS ANALYTICS, 5E. You master the full range of analytics as you strengthen descriptive, predictive and prescriptive analytic skills. Real examples and memorable visuals clearly illustrate data and results. Step-by-step instructions guide you through using Excel, Tableau, R or the Python-based Orange data mining software to perform advanced analytics. Practical, relevant problems at all levels of difficulty let you apply what you've learned. Updates throughout this edition address topics beyond traditional quantitative concepts, such as data wrangling, data visualization and data mining, which are increasingly important in today's business environment. MindTap and WebAssign online learning platforms are also available with an interactive eBook, algorithmic practice problems and Exploring Analytics visualizations to strengthen your understanding of key concepts.

Discourse Syntax is the study of syntax that requires an understanding of the surrounding text and the overall discourse situation, including considerations of genre and modality. Using corpus data and insights from current research, this book is a comprehensive guide to this fast-developing field. It takes the reader 'beyond the sentence' to study grammatical phenomena, like word order variation, connectives, ellipsis, and complexity. It introduces core concepts of Discourse Syntax, integrating insights from corpus-based research and inviting the reader to reflect on research design decisions. Each chapter begins with a definition of learning outcomes, provides results from empirical articles, and enables readers to critically assess data visualization. Complete with helpful further reading recommendations as well as a range of exercises, it is geared towards intermediate to advanced students of English linguistics and it is also essential reading for anyone interested in this excitin

Discourse Syntax is the study of syntax that requires an understanding of the surrounding text and the overall discourse situation, including considerations of genre and modality. Using corpus data and insights from current research, this book is a comprehensive guide to this fast-developing field. It takes the reader 'beyond the sentence' to study grammatical phenomena, like word order variation, connectives, ellipsis, and complexity. It introduces core concepts of Discourse Syntax, integrating insights from corpus-based research and inviting the reader to reflect on research design decisions. Each chapter begins with a definition of learning outcomes, provides results from empirical articles, and enables readers to critically assess data visualization. Complete with helpful further reading recommendations as well as a range of exercises, it is geared towards intermediate to advanced students of English linguistics and it is also essential reading for anyone interested in this excitin

The Varieties of Democracy project (V-Dem) pioneered new ways to conceptualize and measure democracy, producing a multidimensional and disaggregated data set on democracy around the world that is now widely used by researchers, activists, and governments. Why Democracies Develop and Decline draws on this data to present a comprehensive overview and rigorous empirical tests of the factors that contribute to democratization and democratic decline, looking at economic, social, institutional, geographic, and international factors. It is the most authoritative and encompassing empirical analysis of the causes of democratization and reversals. The volume also proposes a comprehensive theoretical framework and presents an up-to-date description of global democratic developments from the French Revolution to the present. Each chapter leverages the specialized expertise of its authors, yet their sustained collaboration lends the book an unusually unified approach and a coherent theory and narra

The volume has as primary focus multidimensional gas chromatography (heart-cutting systems, comprehensive 2D-GC systems and hybrid solutions) and its characteristic features for in depth investigation of complex fractions of odor-active volatiles. Contributions, from outstanding researchers in the field from Academia and industry, cover fundamentals aspects on the physiology of olfaction, the strategies to identify key-odorants from the bulk of detectable volatiles (sensomics), the principles of operation of multidimensional analytical platforms (i.e., comprehensive two-dimensional gas chromatography - GC脙C; heart-cut 2D-GC, hybrid systems), and the fundamental role of mass spectrometry in providing reliable and informative data. Insights on new systems design and configurations are also provided, including sample preparation and data processing strategies, as important steps of the whole analytical process. Real-world examples cover food volatiles, complex aroma mixtures, odors emitte