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  <titleInfo>
    <title>Collect, combine, and transform data using Power Query in Excel and Power BI</title>
  </titleInfo>
  <name type="personal">
    <namePart>Raviv, Gil</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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    <place>
      <placeTerm type="text">United States</placeTerm>
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    <publisher>published with the authorization of Microsoft Corporation by Pearson Education, Inc.</publisher>
    <dateIssued>©2019</dateIssued>
    <dateIssued encoding="marc">2019</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">und</languageTerm>
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  <physicalDescription>
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    <extent>xxvii, 402 pages:  Illustrations</extent>
    <extent>23 cm</extent>
  </physicalDescription>
  <tableOfContents>Introduction to Power Query -- Basic data preparation challenges -- Combining data from multiple sources -- Combining mismatched tables -- Preserving context -- Unpivoting tables -- Advanced unpivoting and pivoting of tables -- Addressing collaboration challenges -- Introduction to the Power Query M formula language -- From pitfalls to robust queries -- Basic text analytics -- Advanced text analytics: extracting meaning -- Social network analytics -- Final project: combining it all together.</tableOfContents>
  <note type="statement of responsibility">Gil Raviv.</note>
  <note>Includes index</note>
  <note>in English</note>
  <subject>
    <topic>Microsoft Excel (Computer file)</topic>
  </subject>
  <subject>
    <topic>Electronic spreadsheets</topic>
    <topic>Computer programs</topic>
  </subject>
  <subject>
    <topic>Business intelligence</topic>
    <topic>Computer programs</topic>
  </subject>
  <subject>
    <topic>Information visualization</topic>
    <topic>Computer programs</topic>
  </subject>
  <subject>
    <topic>Business</topic>
    <topic>Data processing</topic>
  </subject>
  <subject>
    <topic>Visual analytics</topic>
  </subject>
  <classification authority="lcc">005.54 R19c 2019</classification>
  <identifier type="isbn">9781509307951</identifier>
  <recordInfo>
    <recordCreationDate encoding="marc">251212</recordCreationDate>
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