Data Science in R
A Case Studies Approach to Computational Reasoning and Problem Solving
1st Edition
Published on 21. April 2015
539 pages
978-1-4987-5987-8 (ISBN)
Description
Effectively Access, Transform, Manipulate, Visualize, and Reason about Data and ComputationData 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
More details
Series
Edition
1. Auflage
Language
English
Place of publication
Philadelphia, PA
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Product notice
Reflowable
File size
5,78 MB
ISBN-13
978-1-4987-5987-8 (9781498759878)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Deborah Nolan | Duncan Temple Lang
Data Science in R
A Case Studies Approach to Computational Reasoning and Problem Solving
Book
11/2017
1st Edition
CRC Press
€282.26
Shipment within 10-20 days
Deborah Nolan | Duncan Temple Lang
Data Science in R
A Case Studies Approach to Computational Reasoning and Problem Solving
Book
04/2015
1st Edition
Chapman & Hall/CRC
€171.60
Article not available for order
Persons
Deborah Nolan holds the Zaffaroni Family Chair in Undergraduate Education at the University of California, Berkeley. She is a fellow of the American Statistical Association and the Institute of Mathematical Statistics. Her research has involved the empirical process, high-dimensional modeling, and, more recently, technology in education and reproducible research.
Duncan Temple Lang is the director of the Data Science Initiative at the University of California, Davis. He has been involved in the development of R and S for 20 years and has developed over 100 R packages. His research focuses on statistical computing, data technologies, meta-computing, reproducibility, and visualization.
Duncan Temple Lang is the director of the Data Science Initiative at the University of California, Davis. He has been involved in the development of R and S for 20 years and has developed over 100 R packages. His research focuses on statistical computing, data technologies, meta-computing, reproducibility, and visualization.
Content
Data Manipulation and Modeling. Simulation Studies. Data- and Web-Technologies. Index.
