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    Data Visualization: A Practical Introduction - 图书

    导演:Kieran Healy
    An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in ...(展开全部)
    Data Visualization: A Practical Introduction
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    Data Visualization: A Practical Introduction - 图书

    导演:Kieran Healy
    Kieran Healy is associate professor of sociology at Duke University. He is the author of Last Best Gifts: Altruism and the Market for Human Blood and Organs.
    Data Visualization: A Practical Introduction
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    Metaphor: A Practical Introduction - 图书

    2002
    导演:Zoltan Kovecses
    This clear and lucid primer fills an important need by providing a comprehensive account of the many new developments in the study of metaphor over the last twenty years and their impact on our understanding of language, culture, and the mind. Beginning with Lakoff and Johnson's seminal work in Metaphors We Live By, Kovecses outlines the development of "the cognitive linguisti...(展开全部)
    Metaphor: A Practical Introduction
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    Data Visualization:a successful design process - 图书

    2012科学技术·自然科学
    导演:Andy Kirk
    A comprehensive yet quick guide to the best approaches to designing data visualizations, with real examples and illustrative diagrams. Whatever the desired outcome ensure success by following this expert design process. This book is for anyone who has responsibility for, or is interested in trying to find innovative and effective ways to visually analyze and communicate data. There is no skill, no knowledge and no role-based pre-requisites or expectations of anyone reading this book.
    Data Visualization:a successful design process
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    Big Data Visualization - 图书

    2017经济理财·财经
    导演:James D. Miller
    This book is for data analysts or those with a basic knowledge of big data analysis who want to learn big data visualization in order to make their analysis more useful. You need sufficient knowledge of big data platform tools such as Hadoop and also some experience with programming languages such as R. This book will be great for those who are familiar with conventional data visualizations and now want to widen their horizon by exploring big data visualizations.
    Big Data Visualization
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    Mathematica Data Visualization - 图书

    2014计算机·编程设计
    导演:Nazmus Saquib
    If you are planning to create data analysis and visualization tools in the context of science, engineering, economics, or social science, then this book is for you. With this book, you will become a visualization expert, in a short time, using Mathematica.
    Mathematica Data Visualization
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    Statistics for Linguistics with R: A Practical Introduction :A Practical Introduction:140 - 图书

    导演:Stefan Th Gries
    Statistics for Linguistics with R: A Practical Introduction :A Practical Introduction:140
    搜索《Statistics for Linguistics with R: A Practical Introduction :A Practical Introduction:140》
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    A Practical Introduction to Phonetics - 图书

    2002
    导演:J·C·Catford
    An understanding of phonetics - of the mechanisms of speech, of how the sounds of language are produced, and of how they can be analysed and classified - is an essential acquirement for all those who have to deal with language and languages either theoretically or practically. This book is an introduction to general phonetics which explores the entire range of human sounds, sys...(展开全部)
    A Practical Introduction to Phonetics
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    Compact Data Structures: A Practical Approach - 图书

    导演:Gonzalo Navarro
    Compact Data Structures: A Practical Approach
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    R Data Visualization Recipes - 图书

    2017科学技术·工业技术
    导演:Vitor Bianchi Lanzetta
    If you are looking to create custom data visualization solutions using the R programming language and are stuck somewhere in the process, this book will come to your rescue. Prior exposure to packages such as ggplot2 would be useful but not necessary. However, some R programming knowledge is required.
    R Data Visualization Recipes
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