Multidimensional Data Visualization

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

Measuring the performance of public agencies and programmes is essential to ensure that citizens enjoy quality services and that governments can be sure that taxpayers receive value for money. As such, good performance measurement is a crucial component of improvement and planning, monitoring and control, comparison and benchmarking and also ensures democratic accountability. This book shows how the principles, uses and practice of performance measurement for public services differ from those in for-profit organisations, being based on the need to add public value rather than profit. It describes methods and approaches for measuring performance through time, for constructing and using scorecards, composite indicators, the use of league tables and rankings and argues that data-envelopment analysis is a useful tool when thinking about performance. This demonstrates the importance of allowing for the multidimensional nature of performance, as well as the need to base measurement on a soun

數據可視化(Data Visualization)是借助於圖形化手段，清晰有效地傳達與溝通信息的重要技術，是數據加工和處理的基本方法之一，也是大數據開發與應用的最終環節和最重要的環節之一。它通過圖形、圖像、表格等技術更為直觀地表達數據，從而為發現數據的隱含規律提供技術手段，並輔助用戶分析數據，提供決策支撐服務。 本書共8章，第一章介紹數據可視化的基本概念、特徵、目標、作用，可視化的流程以及數據可

Fundamentals of Engineering Programming with C and Fortran, first published in 1998, is a beginner's guide to problem solving with computers which shows how to quickly prototype a program for a particular engineering application. The book's side by side coverage of C and Fortran, the predominant computer languages in engineering, is unique. It emphasizes the importance of developing programming skills in C while carefully presenting the importance of maintaining a good reading knowledge of Fortran. Beginning with a brief description of computer architecture, the book then covers the fundamentals of computer programming for problem solving. It devotes separate chapters to data types and operators, control flow, type conversion, arrays, and file operations. The final chapter contains case studies that illustrate particular elements of modeling and visualization. Also included are a number of appendices covering C and Fortran language summaries and other useful topics. This concise and ac

Fundamentals of Engineering Programming with C and Fortran, first published in 1998, is a beginner's guide to problem solving with computers which shows how to quickly prototype a program for a particular engineering application. The book's side by side coverage of C and Fortran, the predominant computer languages in engineering, is unique. It emphasizes the importance of developing programming skills in C while carefully presenting the importance of maintaining a good reading knowledge of Fortran. Beginning with a brief description of computer architecture, the book then covers the fundamentals of computer programming for problem solving. It devotes separate chapters to data types and operators, control flow, type conversion, arrays, and file operations. The final chapter contains case studies that illustrate particular elements of modeling and visualization. Also included are a number of appendices covering C and Fortran language summaries and other useful topics. This concise and ac

Technology entrepreneurship has been receiving growing importance as an effective instrument to promote national economic growth, both from empirical researchers and policymakers. India has emerged as the third largest base for high-tech start-ups in the world. Although there is a surge in start-up creation rates in India, little is known about factors required for these start-ups to survive, sustain and grow into large enterprises, particularly in the context of emerging economies like India. This book reviews the entrepreneurial, firm-specific and external environment-specific aspects that influence the key lifecycle stages of high-tech start-ups and identifies the key factors that influence each milestone. Existing literature in this subject has limited studies on the structure of the high-tech start-up sector and processes and strategies adapted by them. This book aims to address this gap, analyzing case studies and empirical data, and provides a multidimensional framework to under

The outbreak of organised, violent peasant protests across the Chinese countryside from the late 1990s to the early 2000s has attracted much scholarly interest. In this study, An Chen endeavours to understand from these protests the question of the Chinese government's control in the countryside and the impact of this violent resistance on China's rural governance in the context of market liberalisation. Utilising extensive field research and data collected from surveys across rural China, the book provides an in-depth exploration of how rural governance in China has been transformed following two major tax reforms: the tax-for-fee reform of 2002–4, and the abolition of agricultural taxes (AAT) in 2005–6. In a multidimensional analysis which combines approaches from political science, economics, finance and sociology, Chen argues that private economic power has merged with political power in a way that has reshaped village governance in China, threatening to fundamentally change its po

Variation within the English language is a vast research area, of which dialectology, the study of geographic variation, is a significant part. This book explores grammatical differences between British English dialects, drawing on authentic speech data collected in over thirty counties. In doing so it presents a new approach known as 'corpus-based dialectometry', which focuses on the joint quantitative measurement of dozens of grammatical features to gauge regional differences. These features include, for example, multiple negation (e.g. don't you make no damn mistake), non-standard verbal-s (e.g. so I says, What have you to do?), or non-standard weak past tense and past participle forms (e.g. they knowed all about these things). Utilizing state-of-the-art dialectometrical analysis and visualization techniques, the book is original both in terms of its fundamental research question ('What are the large-scale patterns of grammatical variability in British English dialects?') and in ter

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。

Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for th

The proceedings of DOSFIAC 2017 consist of papers on topics such as artificial intelligence, machine learning, big data, cloud computing, IOT, smart reservoir, visualization, GIS and SCADA systems. Th

When it comes to business intelligence and analytical capabilities, SAS ® Visual Analytics is the premier solution for data discovery, visualization, and reporting. An Introduction to SAS ® Visual Ana

The newest volume—fresh and visually arresting—in the acclaimed Best American series, showcasing the finest examples of data visualization from the past year

資料分析技術叢書 Tableau數據視覺化實戰 Tableau Data Visualization Cookbook （美）Ashutosh Nandeshwar著 任萬鳳　刁鈺　譯

A fresh and visually arresting addition to the acclaimed Best American series, showcasing the finest examples of data visualization from the past year, guest edited by Nate Silver.

A gleeful and exhilarating tale of global conspiracy, complex code-breaking, high-tech data visualization, young love, rollicking adventure, and the secret to eternal life—mostly set in a hole-in-the-

《數據可視化與領域應用案例》針對不同領域的多種數據集，通過分析數據中的分析需求，設計適用有效的可視化方法，包括仿真領域數據集、影視領域數據集、服務器管理數據集、空氣質量數據集、農藥殘留檢測數據集等，並通過可視化方法和技術手段對數據進行分析，得出相應的分析結論，所提出的可視化方法包括過程可視化、時序可視化、空間可視化、實時可視化、對比可視化、傾向性可視化和多關係可視化等。

This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossles

Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data visualization, machine learning, genomics, image processing, pattern re

Digital images are an integral part of all media, including television, film, photography, animation, video games, data visualization, and the Internet. In the digital world, spectators become navigat

With large-scale scholarly projects dedicated to digitizing print-based magazines and a concurrent turn towards digital mapping and data visualization, periodicals that were once accessible only in th

This book is perfect for R programmers who are interested in learning to use ggplot2 for data visualization, from the basics up to using more advanced applications, such as faceting and grouping. Sinc