© 2015 – Chapman and Hall/CRC
539 pages | 79 B/W Illus.
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.
Data Manipulation and Modeling
Predicting Location via Indoor Positioning Systems Deborah Nolan and Duncan Temple Lang
Modeling Runners’ Times in the Cherry Blossom Race Daniel Kaplan and Deborah Nolan
Using Statistics to Identify Spam Deborah Nolan and Duncan Temple Lang
Processing Robot and Sensor Log Files: Seeking a Circular Target Samuel E. Buttrey, Timothy H. Chung, James N. Eagle, and Duncan W. Temple Lang
Strategies for Analyzing a 12 Gigabyte Data Set: Airline Flight Delays Michael Kane
Pairs Trading Cari Kaufman and Duncan Temple Lang
Simulation Study of a Branching Process Deborah Nolan and Duncan Temple Lang
A Self-Organizing Dynamic System with a Phase Transition Deborah Nolan and Duncan Temple Lang
Simulating Blackjack Hadley Wickham
Data- and Web-Technologies
Baseball: Exploring Data in a Relational Database Deborah Nolan and Duncan Temple Lang
CIA Factbook Mashup Deborah Nolan and Duncan Temple Lang
Exploring Data Science Jobs with Web Scraping and Text Mining Deborah Nolan and Duncan Temple Lang
Exercises appear at the end of most chapters.