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  <titleInfo>
    <title>Fundamentals of data visualization</title>
    <subTitle>a primer on making informative and compelling figures</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Wilke, Claus O.</namePart>
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  <genre authority="fast">Handbooks and manuals.</genre>
  <genre authority="lcgft">Handbooks and manuals.</genre>
  <originInfo>
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    <dateIssued encoding="marc">2019</dateIssued>
    <copyrightDate encoding="marc">2019</copyrightDate>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xvi, 370 p.</extent>
  </physicalDescription>
  <abstract>"Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences.  But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options.  This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures.  What visualization type is best for the story you want to tell?  How do you make informative figures that are visually pleasing?  Author Claus O. Wilke teaches you the elements most critical to successful data visualization."--Provided by publisher</abstract>
  <note type="statement of responsibility">Claus O. Wilke.</note>
  <subject authority="lcsh">
    <topic>Information visualization</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Visual analytics</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Visualization</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="mesh">
    <topic>Data Visualization</topic>
  </subject>
  <subject authority="fast">
    <topic>Information visualization</topic>
  </subject>
  <subject authority="fast">
    <topic>Visual analytics</topic>
  </subject>
  <subject authority="fast">
    <topic>Visualization</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="gnd">
    <topic>Datenverarbeitung</topic>
  </subject>
  <subject authority="gnd">
    <topic>Visualisierung</topic>
  </subject>
  <subject authority="gnd">
    <topic>Informationsgrafik</topic>
  </subject>
  <classification authority="lcc">QA76.9.I52 W55 2019</classification>
  <identifier type="isbn">1492031089</identifier>
  <identifier type="lccn">2018277335</identifier>
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    <recordCreationDate encoding="marc">190812</recordCreationDate>
    <recordChangeDate encoding="iso8601">20240710104354.0</recordChangeDate>
    <recordIdentifier source="OSt">21128709</recordIdentifier>
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