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Item #:
235024335
Visual Analytics for Data Scientists, (Hardcover)
Item #:
235024335
OMR 47
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Product Details
| Book format | Hardcover |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | August, 2020 |
| Pages | 440 |
| Subgenre | Data Science |
| Series title | No Series |
| Edition | 2020 Edition |
| Publisher | Springer International Publishing |
| Original languages | English |
| Language | English |
| Edu focus | General |
| Educational level | College |
| Awards won | test of time award at IEEE VAST 2018, best paper awards at AGILE 2006, IEEE VAST 2011 and 2012, and EuroVis 2015 conferences and EuroVA 2018 and 2019 workshops, honorable mention awards at IEEE VAST 2010 and EuroVis 2017 conferences, VAST challenge awards 2008 and 2014, and best posterawards at AGILE 2007 and 2018, ACM GIS 2011 and IEEE VAST 2016 conferences |
| Is collectible | N |
| Binding type | Case Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.14 x 1.00 x 9.21 in (15.6 x 2.5 x 23.4 cm) |
| Assembled product weight | 1.81 lb (820 grams) |
| Bisac subject heading | Computers |
Product Description
Visual Analytics for Data Scientists, (Hardcover)
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Natalia Andrienko All Books Editorial Review
Visual Analytics for Data Scientists, a hardcover book published by Springer International Publishing in August 2020, provides a thorough exploration of data science through its 440 pages. This non-fiction work focuses on computing and internet topics and is particularly useful for college students interested in data science. The book is recognized for its significant contributions to the field, having received numerous awards, including the test of time award at IEEE VAST 2018. Its structured approach facilitates readers in understanding complex data through visual techniques, which is a vital skill in today’s data-driven environment.
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Pros
- Hardcover format provides durability
- Comprehensive exploration of data science
- Award-winning contributions to the field
- Suitable for college-level education
- Focuses on visual analytics techniques
Cons
- Some readers may find it highly technical
Product Price History
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Features & Benefits
- Comprehensive introduction to visual analytics principles and methods.
- Focus on practical applications with real-world examples for clarity.
- Covers various data types including multidimensional, spatial, and temporal data.
- Emphasizes the importance of data quality and potential pitfalls.
- Includes sample datasets and exercises for hands-on practice.
- Ideal for students and practitioners in data science and analysis.
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