IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-56146-8_5.html
   My bibliography  Save this book chapter

Visual Analytics for Investigating and Processing Data

In: Visual Analytics for Data Scientists

Author

Listed:
  • Natalia Andrienko

    (Fraunhofer Institute Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven
    City, University of London, Northampton Square, Department of Computer Science)

  • Gennady Andrienko

    (Fraunhofer Institute Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven
    City, University of London, Northampton Square, Department of Computer Science)

  • Georg Fuchs

    (Fraunhofer Institute Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven)

  • Aidan Slingsby

    (City, University of London, Northampton Square, Department of Computer Science)

  • Cagatay Turkay

    (University of Warwick, Centre for Interdisciplinary Methodologies)

  • Stefan Wrobel

    (Fraunhofer Institute Intelligent Analysis and Information Systems IAIS, Schloss Birlinghoven
    University of Bonn)

Abstract

In this chapter, we discuss how visual analytics techniques can support you in investigating and understanding the properties of your data and in conducting common data processing tasks. We consider several examples of possible problems in data and how they may manifest in visual representations, discuss where and why data quality issues can appear, and introduce a number of elementary data processing operations and computational techniques that help, in combination with visualisation, understand data characteristics and detect abnormalities.

Suggested Citation

  • Natalia Andrienko & Gennady Andrienko & Georg Fuchs & Aidan Slingsby & Cagatay Turkay & Stefan Wrobel, 2020. "Visual Analytics for Investigating and Processing Data," Springer Books, in: Visual Analytics for Data Scientists, chapter 0, pages 151-180, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-56146-8_5
    DOI: 10.1007/978-3-030-56146-8_5
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-030-56146-8_5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.