ABSTRACT

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

part |2 pages

I Data Manipulation and Modeling

chapter 1|42 pages

Predicting Location via Indoor Positioning Systems

ByDeborah Nolan, Duncan Temple Lang

chapter 2|60 pages

Modeling Runners’ Times in the Cherry Blossom Race

ByDaniel Kaplan, Deborah Nolan

chapter 3|66 pages

Using Statistics to Identify Spam

ByDeborah Nolan, Duncan Temple Lang

chapter 4|46 pages

Processing Robot and Sensor Log Files: Seeking a Circular Target

BySamuel E. Buttrey, Timothy H. Chung, James N. Eagle, Duncan Temple Lang

part |2 pages

II Simulation Studies

chapter 6|36 pages

Pairs Trading

ByCari Kaufman, Duncan Temple Lang

chapter 7|32 pages

Simulation Study of a Branching Process

ByDeborah Nolan, Duncan Temple Lang

chapter 8|58 pages

A Self-Organizing Dynamic System with a Phase Transition

ByDeborah Nolan, Duncan Temple Lang

chapter 9|30 pages

Simulating Blackjack

ByHadley Wickham

part |2 pages

III Data and Web Technologies

chapter 10|20 pages

Baseball: Exploring Data in a Relational Database

ByDeborah Nolan, Duncan Temple Lang

chapter 11|38 pages

CIA Factbook Mashup

ByDeborah Nolan, Duncan Temple Lang

chapter 12|50 pages

Exploring Data Science Jobs with Web Scraping and Text Mining

ByDeborah Nolan, Duncan Temple Lang

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