1st Edition

Data Science in R A Case Studies Approach to Computational Reasoning and Problem Solving

By Deborah Nolan, Duncan Temple Lang Copyright 2015
540 Pages 79 B/W Illustrations
by Chapman & Hall

540 Pages
by Chapman & Hall

540 Pages
by Chapman & Hall

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... Read more

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

Simulation Studies
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

Index

Exercises appear at the end of most chapters.

Biography

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.