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  • 1
    UID:
    gbv_1005464944
    Format: 1 Online-Ressource (xi, 303 Seiten)
    ISBN: 9781316338599
    Content: Real-world data sets are messy and complicated. Written for students in social science and public management, this authoritative but approachable guide describes all the tools needed to collect data and prepare it for analysis. Offering detailed, step-by-step instructions, it covers collection of many different types of data including web files, APIs, and maps; data cleaning; data formatting; the integration of different sources into a comprehensive data set; and storage using third-party tools to facilitate access and shareability, from Google Docs to GitHub. Assuming no prior knowledge of R and Python, the author introduces programming concepts gradually, using real data sets that provide the reader with practical, functional experience.
    Note: Title from publisher's bibliographic system (viewed on 15 Sep 2017)
    Additional Edition: ISBN 9781107540255
    Additional Edition: ISBN 9781107117419
    Additional Edition: ISBN 9781107540255
    Additional Edition: Erscheint auch als Druck-Ausgabe Magallanes Reyes, José Manuel, 1968 - Introduction to data science for social and policy research Cambridge, United Kingdom : Cambridge University Press, 2017 ISBN 9781107117419
    Additional Edition: ISBN 9781107540255
    Language: English
    Subjects: Sociology
    RVK:
    Keywords: Politische Wissenschaft ; Datenerhebung ; Datenanalyse ; Python ; R ; Politische Wissenschaft ; Datenerhebung ; Datenanalyse ; Python ; R
    URL: Volltext  (lizenzpflichtig)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    almahu_9948234364602882
    Format: 1 online resource (xi, 303 pages) : , digital, PDF file(s).
    ISBN: 9781316338599 (ebook)
    Content: Real-world data sets are messy and complicated. Written for students in social science and public management, this authoritative but approachable guide describes all the tools needed to collect data and prepare it for analysis. Offering detailed, step-by-step instructions, it covers collection of many different types of data including web files, APIs, and maps; data cleaning; data formatting; the integration of different sources into a comprehensive data set; and storage using third-party tools to facilitate access and shareability, from Google Docs to GitHub. Assuming no prior knowledge of R and Python, the author introduces programming concepts gradually, using real data sets that provide the reader with practical, functional experience.
    Note: Title from publisher's bibliographic system (viewed on 15 Sep 2017).
    Additional Edition: Print version: ISBN 9781107117419
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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