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Titlebook: Humanities Data in R; Exploring Networks, Taylor Arnold,Lauren Tilton Textbook 20151st edition Springer International Publishing Switzerla

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書目名稱Humanities Data in R
副標(biāo)題Exploring Networks,
編輯Taylor Arnold,Lauren Tilton
視頻videohttp://file.papertrans.cn/430/429854/429854.mp4
概述Provides a user-friendly beginners guide to the key concepts in the digital humanities by focusing on four major types of humanities data structures: networks, text corpora, geospatial data, and image
叢書名稱Quantitative Methods in the Humanities and Social Sciences
圖書封面Titlebook: Humanities Data in R; Exploring Networks,  Taylor Arnold,Lauren Tilton Textbook 20151st edition Springer International Publishing Switzerla
描述?This pioneering book teaches readers to use R within four core analytical areas applicable to the Humanities: networks, text, geospatial data, and?images. This book is also designed to be a bridge: between quantitative and qualitative methods, individual and collaborative work, and the humanities and social sciences. .Humanities Data with R. does not presuppose background?programming experience. Early chapters take readers from R set-up to exploratory data analysis (continuous and categorical data, multivariate analysis, and advanced graphics with emphasis on aesthetics and facility). Following this, networks, geospatial data, image data, natural language processing and text analysis each have a dedicated chapter. Each chapter is grounded in examples to move readers beyond the intimidation of adding new tools to their research. Everything is hands-on: networks are explained using U.S. Supreme Court opinions, and low-level NLP methods are applied to short stories by Sir Arthur Conan Doyle. After working through these examples with the provided data, code and book website, readers are prepared to apply new methods to their own work. The open source R programming language, with its m
出版日期Textbook 20151st edition
關(guān)鍵詞Exploratory Data Analysis in the Humanities; Geospatial Data R; Humanities Data with R; Image Data R; Na
版次1
doihttps://doi.org/10.1007/978-3-319-20702-5
isbn_softcover978-3-319-36671-5
isbn_ebook978-3-319-20702-5Series ISSN 2199-0956 Series E-ISSN 2199-0964
issn_series 2199-0956
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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EDA II: Multivariate AnalysisIn this chapter, techniques for exploring the relationship between multiple continuous variables are shown, using scatter plots as basic building blocks.
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EDA III: Advanced GraphicsIn this chapter, we show several methods for increasing the usability and aesthetic quality of graphics in R. Random number generators and color spaces are also introduced as tools for creating quality graphics.
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Geospatial DataIn this chapter, we will look at how to work with raster and vector spatial data in R. Particular attention is placed on the process of merging various data types to create enriched datasets for further analysis.
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