Deborah Nolan, Duncan Temple Lang
Chapman and Hall/CRC
Published
April 21, 2015
Reference
- 539 Pages
- 79 B/W Illustrations
ISBN 9781482234817 - CAT# K23014
Series: Chapman & Hall/CRC The R Series
For Instructors Request Inspection Copy
For Librarians Available on Taylor & Francis eBooks >>
was $92.95
USD$79.01
SAVE ~$13.94
Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and Computation
Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving illustrates the details involved in solving real computational problems encountered in data analysis. It reveals the dynamic and iterative process by which data analysts approach a problem and reason about different ways of implementing solutions.
The book’s collection of projects, comprehensive sample solutions, and follow-up exercises encompass practical topics pertaining to data processing, including:
Suitable for self-study or as supplementary reading in a statistical computing course, the book enables instructors to incorporate interesting problems into their courses so that students gain valuable experience and data science skills. Students learn how to acquire and work with unstructured or semistructured data as well as how to narrow down and carefully frame the questions of interest about the data.
Blending computational details with statistical and data analysis concepts, this book provides readers with an understanding of how professional data scientists think about daily computational tasks. It will improve readers’ computational reasoning of real-world data analyses.
We provide complimentary e-inspection copies of primary textbooks to instructors considering our books for course adoption.