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  <titleInfo>
    <title>R for data science</title>
    <subTitle>import, tidy, transform, visualize, and model data</subTitle>
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  <titleInfo type="alternative">
    <title>R for data science</title>
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  <name type="personal">
    <namePart>Wickham, Hadley</namePart>
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    <role>
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    <namePart>Grolemund, Garrett</namePart>
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    <place>
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    <place>
      <placeTerm type="text">Sebastopol, CA</placeTerm>
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    <publisher>O'Reilly</publisher>
    <dateIssued>c2017</dateIssued>
    <dateIssued encoding="marc">2017</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
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    <extent>xxv, 492 pages : illustrations (some color) ; 23 cm</extent>
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  <abstract>"This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience"--</abstract>
  <tableOfContents>Part I. Explore. Data visualization with ggplot2 -- Workflow: basics -- Data transformation with dplyr -- Workflow: scripts -- Exploratory data analysis -- Workflow: projects -- Part II. Wrangle. Tibbles with tibble -- Data import with readr --Tidy data with tidyr -- Relational data with dplyr -- Strings with stringr -- Factors with forcats -- Dates and times with lubridate -- Part III. Program. Pipes with magrittr -- Functions -- Vectors -- Iteration with purrr -- Part IV. Model. Model basics with modelr -- Model building -- Many models with purrr and broom -- Part V. Communicate. R Markdown -- Graphics for communication with ggplot2 -- R Markdown formats -- R Markdown workflow.</tableOfContents>
  <note type="statement of responsibility">Hadley Wickham, Garrett Grolemund.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>R (Computer program language)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Data mining</topic>
    <topic>Computer programs</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Information visualization</topic>
    <topic>Computer programs</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Big data</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Databases</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Computer science</topic>
  </subject>
  <classification authority="lcc">QA276.45.R3 W53 2016</classification>
  <classification authority="ddc" edition="23">006.312</classification>
  <classification authority="udc">519.2</classification>
  <identifier type="isbn">9781491910399</identifier>
  <identifier type="isbn">1491910364</identifier>
  <identifier type="lccn">2017300238</identifier>
  <location>
    <physicalLocation>Ayesha Abed Library</physicalLocation>
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