Visual Explanations

Author: Edward R. Tufte
Publisher:
ISBN:
Size: 34.16 MB
Format: PDF, ePub
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Riveting ideas on presenting better information design. Few would disagree: Life in the information age can be overwhelming. Through computers, the Internet, the media, and even our daily newspapers, we are awash in a seemingly endless stream of charts, maps, infographics, diagrams, and data. "Visual Explanations," the latest book by Edward R. Tufte, a Yale design professor, is a navigational guide through this turbulent sea of information. The book is an essential reference for anyone involved in graphic, Web, or multimedia design, as well as for educators and lecturers who use graphics in presentations or classes.

A Guide To Forensic Testimony

Author: Fred Chris Smith
Publisher: Addison-Wesley Professional
ISBN: 9780201752793
Size: 44.35 MB
Format: PDF, Kindle
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A technical expert and a lawyer provide practical approaches for IT professionals who need to get up to speed on the role of an expert witness and how testimony works. Includes actual transcripts and case studies.

Dhtml And Css For The World Wide Web

Author: Jason Cranford Teague
Publisher: Peachpit Press
ISBN: 9780201730845
Size: 48.31 MB
Format: PDF, Kindle
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Explains how to use Dynamic HTML and Cascading Style Sheets to design and execute dynamic Web sites that include multimedia, special effects, and interactive features.

The Art Of Comics

Author: Aaron Meskin
Publisher: John Wiley & Sons
ISBN: 1444354825
Size: 52.74 MB
Format: PDF, Docs
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The Art of Comics is the first-ever collection of essays published in English devoted to the philosophical topics raised by comics and graphic novels. In an area of growing philosophical interest, this volume constitutes a great leap forward in the development of this fast expanding field, and makes a powerful contribution to the philosophy of art. The first-ever anthology to address the philosophical issues raised by the art of comics Provides an extensive and thorough introduction to the field, and to comics more generally Responds to the increasing philosophical interest in comic art Includes a preface by the renowned comics author Warren Ellis Many of the chapters are illustrated, and the book carries a stunning cover by the rising young comics star David Heatley

Environmental Forensics

Author: Robert D. Morrison
Publisher: CRC Press
ISBN: 9781420050622
Size: 33.80 MB
Format: PDF, Docs
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Offering state-of-the-art techniques for both attorneys and environmental scientists, Environmental Forensics: Principles and Applications discusses non-chemical methods such as corrosion modeling, inventory reconciliation, and aerial photography interpretation. The book also covers chemical fingerprinting used to identify the origin and age of a contaminant release- relevant techniques include the use of radioactive isotope analysis, degradation modeling based on half-lives, and fuel additives such as MTBE. Environmental Forensics provides case study examples of environmental trial exhibits. It covers misused techniques that can bias the scientific validity of a trial exhibit, such as scale exaggeration, use of statistical manipulation, data contouring, and selective presentation. Detailed information is provided for identifying and interpreting those portions of environmental reports that are "target rich" sources of scientific biases. These include the identification of false positive, false negative and the intentional manipulation of environmental data that occurs primarily in the sample collection process.

Microsoft Excel 2010 In Depth

Author: Bill Jelen
Publisher: Pearson Education
ISBN: 9780789744234
Size: 69.87 MB
Format: PDF, ePub, Mobi
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Excel 2010 In Depth is the beyond-the-basics, beneath-the-surface guide for everyone who wants to streamline their work with Excel 2010, and get more done in less time. Legendary Excel expert Bill Jelen provides specific, tested, proven solutions to the problems Excel users run into every day: challenges other books ignore or oversimplify. Jelen thoroughly covers all facets of working with Excel 2010, and adds new chapters on Excel Web App which allows multiple users to edit a spreadsheet simultaneously. New coverage also includes: Slicer, which offers dynamic filtering of PivotTables; Sparklines, which add data visualization to any cell; Calculation engine which improves the speed and accuracy of math, financial, and statistical functions; and the new version of Solver. As with all In Depth books, Excel 2010 In Depth presents comprehensive coverage, breakthrough techniques, exclusive shortcuts, quick access to information, troubleshooting help for tough problems, and real-world examples with nothing glossed over or left out. Step-by-step instructions with icons guide readers through essential tasks such as designing tables, entering data, importing external data, designing and executing queries, and designing data entry forms and printed reports. Additional chapters on advanced form and report design emphasize data entry efficiency and presentation clarity. By Bill Jelen, aka MrExcel, an Excel MVP and the principal behind the leading Excel website, MrExcel.com Covers all aspects of working with Excel 2010, from its updated Ribbon interface to its breakthrough collaboration and improved business intelligence For everyone who wants to get the most out of Excel 2010, from casual users to corporate professionals

Modeling Techniques In Predictive Analytics

Author: Thomas W. Miller
Publisher: FT Press
ISBN: 0133886190
Size: 78.60 MB
Format: PDF, Mobi
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To succeed with predictive analytics, you must understand it on three levels: Strategy and management Methods and models Technology and code This up-to-the-minute reference thoroughly covers all three categories. Now fully updated, this uniquely accessible book will help you use predictive analytics to solve real business problems and drive real competitive advantage. If you’re new to the discipline, it will give you the strong foundation you need to get accurate, actionable results. If you’re already a modeler, programmer, or manager, it will teach you crucial skills you don’t yet have. Unlike competitive books, this guide illuminates the discipline through realistic vignettes and intuitive data visualizations–not complex math. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, guides you through defining problems, identifying data, crafting and optimizing models, writing effective R code, interpreting results, and more. Every chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work–and maximize their value. Reflecting extensive student and instructor feedback, this edition adds five classroom-tested case studies, updates all code for new versions of R, explains code behavior more clearly and completely, and covers modern data science methods even more effectively. All data sets, extensive R code, and additional examples available for download at http://www.ftpress.com/miller If you want to make the most of predictive analytics, data science, and big data, this is the book for you. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, appealing to managers, analysts, programmers, and students alike. Miller addresses multiple business cases and challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic R programs that deliver actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Throughout, Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. This edition adds five new case studies, updates all code for the newest versions of R, adds more commenting to clarify how the code works, and offers a more detailed and up-to-date primer on data science methods. Gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more

Modeling Techniques In Predictive Analytics With Python And R

Author: Thomas W. Miller
Publisher: FT Press
ISBN: 013389214X
Size: 74.32 MB
Format: PDF, Kindle
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Master predictive analytics, from start to finish Start with strategy and management Master methods and build models Transform your models into highly-effective code—in both Python and R This one-of-a-kind book will help you use predictive analytics, Python, and R to solve real business problems and drive real competitive advantage. You’ll master predictive analytics through realistic case studies, intuitive data visualizations, and up-to-date code for both Python and R—not complex math. Step by step, you’ll walk through defining problems, identifying data, crafting and optimizing models, writing effective Python and R code, interpreting results, and more. Each chapter focuses on one of today’s key applications for predictive analytics, delivering skills and knowledge to put models to work—and maximize their value. Thomas W. Miller, leader of Northwestern University’s pioneering program in predictive analytics, addresses everything you need to succeed: strategy and management, methods and models, and technology and code. If you’re new to predictive analytics, you’ll gain a strong foundation for achieving accurate, actionable results. If you’re already working in the field, you’ll master powerful new skills. If you’re familiar with either Python or R, you’ll discover how these languages complement each other, enabling you to do even more. All data sets, extensive Python and R code, and additional examples available for download at http://www.ftpress.com/miller/ Python and R offer immense power in predictive analytics, data science, and big data. This book will help you leverage that power to solve real business problems, and drive real competitive advantage. Thomas W. Miller’s unique balanced approach combines business context and quantitative tools, illuminating each technique with carefully explained code for the latest versions of Python and R. If you’re new to predictive analytics, Miller gives you a strong foundation for achieving accurate, actionable results. If you’re already a modeler, programmer, or manager, you’ll learn crucial skills you don’t already have. Using Python and R, Miller addresses multiple business challenges, including segmentation, brand positioning, product choice modeling, pricing research, finance, sports, text analytics, sentiment analysis, and social network analysis. He illuminates the use of cross-sectional data, time series, spatial, and spatio-temporal data. You’ll learn why each problem matters, what data are relevant, and how to explore the data you’ve identified. Miller guides you through conceptually modeling each data set with words and figures; and then modeling it again with realistic code that delivers actionable insights. You’ll walk through model construction, explanatory variable subset selection, and validation, mastering best practices for improving out-of-sample predictive performance. Miller employs data visualization and statistical graphics to help you explore data, present models, and evaluate performance. Appendices include five complete case studies, and a detailed primer on modern data science methods. Use Python and R to gain powerful, actionable, profitable insights about: Advertising and promotion Consumer preference and choice Market baskets and related purchases Economic forecasting Operations management Unstructured text and language Customer sentiment Brand and price Sports team performance And much more

Special Edition Using Microsoft Access 2002

Author: Roger Jennings
Publisher: Que Publishing
ISBN: 9780789725103
Size: 33.39 MB
Format: PDF, Docs
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Explains how to use the database management program to create custom applications, share data between users, and integrate data with other Microsoft Office applications.