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Insightful Data Visualization with SAS Viya

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Insightful Data Visualization with SAS Viya SCHULZ
Libristo kod: 33376606
Nakladnici SAS Institute, listopad 2020
Elevate your storytelling with SAS Visual AnalyticsData visualization is the gateway to artificial i... Cijeli opis
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Elevate your storytelling with SAS Visual Analytics


Data visualization is the gateway to artificial intelligence (AI) and big data. Insightful Data Visualization with SAS Viya shows how the latest SAS Viya tools can be used to create data visualizations in an easier, smarter, and more engaging way than ever before. SAS Visual Analytics combined with human creativity can produce endless possibilities. In this book, you will learn tips and techniques for getting the most from your SAS Visual Analytics investment. From beginners to advanced SAS users, this book has something for everyone. Use AI wizards to create data visualization automatically, learn to use advanced analytics in your dashboards to surface smarter insights, and learn to extend SAS Visual Analytics with advanced integrations and options.


Topics covered in this book include:


  • SAS Visual Analytics
  • Data visualization with SAS
  • Reports and dashboards
  • SAS code examples
  • Self-service analytics
  • SAS data access
  • Extending SAS beyond drag and drop
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Informacije o knjizi

Puni naziv Insightful Data Visualization with SAS Viya
Autor SCHULZ, FALKO
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2020
Broj stranica 202
EAN 9781951684341
ISBN 1951684346
Libristo kod 33376606
Nakladnici SAS Institute
Težina 354
Dimenzije 191 x 235 x 11

Kategorija

Computing & Information Technology > Computer science > Artificial intelligence > Machine learning
Computing & Information Technology > Computer science > Human–computer interaction > Information visualization
Reference, Information & Interdisciplinary subjects > Research & information: general > Data analysis: general
Computing & Information Technology > Databases > Data capture & analysis
Computing & Information Technology > Databases > Data mining
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