Visual Analytics for Data Scientists
Author
Abstract
Individual chapters are listed in the "Chapters" tab
Suggested Citation
DOI: 10.1007/978-3-030-56146-8
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.
Book Chapters
The following chapters of this book are listed in IDEAS- Natalia Andrienko & Gennady Andrienko & Georg Fuchs & Aidan Slingsby & Cagatay Turkay & Stefan Wrobel, 2020. "Introduction to Visual Analytics by an Example," Springer Books, in: Visual Analytics for Data Scientists, chapter 0, pages 3-25, Springer.
- Natalia Andrienko & Gennady Andrienko & Georg Fuchs & Aidan Slingsby & Cagatay Turkay & Stefan Wrobel, 2020. "General Concepts," Springer Books, in: Visual Analytics for Data Scientists, chapter 0, pages 27-49, Springer.
- Natalia Andrienko & Gennady Andrienko & Georg Fuchs & Aidan Slingsby & Cagatay Turkay & Stefan Wrobel, 2020. "Principles of Interactive Visualisation," Springer Books, in: Visual Analytics for Data Scientists, chapter 0, pages 51-88, Springer.
- Natalia Andrienko & Gennady Andrienko & Georg Fuchs & Aidan Slingsby & Cagatay Turkay & Stefan Wrobel, 2020. "Computational Techniques in Visual Analytics," Springer Books, in: Visual Analytics for Data Scientists, chapter 0, pages 89-147, Springer.
- 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.
- Natalia Andrienko & Gennady Andrienko & Georg Fuchs & Aidan Slingsby & Cagatay Turkay & Stefan Wrobel, 2020. "Visual Analytics for Understanding Multiple Attributes," Springer Books, in: Visual Analytics for Data Scientists, chapter 0, pages 181-200, Springer.
- Natalia Andrienko & Gennady Andrienko & Georg Fuchs & Aidan Slingsby & Cagatay Turkay & Stefan Wrobel, 2020. "Visual Analytics for Understanding Relationships between Entities," Springer Books, in: Visual Analytics for Data Scientists, chapter 0, pages 201-228, Springer.
- Natalia Andrienko & Gennady Andrienko & Georg Fuchs & Aidan Slingsby & Cagatay Turkay & Stefan Wrobel, 2020. "Visual Analytics for Understanding Temporal Distributions and Variations," Springer Books, in: Visual Analytics for Data Scientists, chapter 0, pages 229-260, Springer.
- Natalia Andrienko & Gennady Andrienko & Georg Fuchs & Aidan Slingsby & Cagatay Turkay & Stefan Wrobel, 2020. "Visual Analytics for Understanding Spatial Distributions and Spatial Variation," Springer Books, in: Visual Analytics for Data Scientists, chapter 0, pages 261-295, Springer.
- Natalia Andrienko & Gennady Andrienko & Georg Fuchs & Aidan Slingsby & Cagatay Turkay & Stefan Wrobel, 2020. "Visual Analytics for Understanding Phenomena in Space and Time," Springer Books, in: Visual Analytics for Data Scientists, chapter 0, pages 297-340, Springer.
- Natalia Andrienko & Gennady Andrienko & Georg Fuchs & Aidan Slingsby & Cagatay Turkay & Stefan Wrobel, 2020. "Visual Analytics for Understanding Texts," Springer Books, in: Visual Analytics for Data Scientists, chapter 0, pages 341-359, Springer.
- Natalia Andrienko & Gennady Andrienko & Georg Fuchs & Aidan Slingsby & Cagatay Turkay & Stefan Wrobel, 2020. "Visual Analytics for Understanding Images and Video," Springer Books, in: Visual Analytics for Data Scientists, chapter 0, pages 361-374, Springer.
- Natalia Andrienko & Gennady Andrienko & Georg Fuchs & Aidan Slingsby & Cagatay Turkay & Stefan Wrobel, 2020. "Computational Modelling with Visual Analytics," Springer Books, in: Visual Analytics for Data Scientists, chapter 0, pages 375-407, Springer.
- Natalia Andrienko & Gennady Andrienko & Georg Fuchs & Aidan Slingsby & Cagatay Turkay & Stefan Wrobel, 2020. "Conclusion," Springer Books, in: Visual Analytics for Data Scientists, chapter 0, pages 409-422, Springer.
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:sprbok:978-3-030-56146-8. 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.
Printed from https://ideas.repec.org/b/spr/sprbok/978-3-030-56146-8.html