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Modern Data Science with R
From a review of the first edition: "Modern Data Science with R... is rich with examples and is guided by a strong narrative voice. What’s more, it presents an organizing framework that makes a convincing argument that data science is a course distinct from applied statistics" (The American Statistician). Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world data problems. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing environment can be leveraged to extract meaningfu...
The Sabermetric Revolution
From the front office to the family room, sabermetrics has dramatically changed the way baseball players are assessed and valued by fans and managers alike. Rocketed to popularity by the 2003 bestseller Moneyball and the film of the same name, the use of sabermetrics to analyze player performance has appeared to be a David to the Goliath of systemically advantaged richer teams that could be toppled only by creative statistical analysis. The story has been so compelling that, over the past decade, team after team has integrated statistical analysis into its front office. But how accurately can crunching numbers quantify a player's ability? Do sabermetrics truly level the playing field for fin...
Analyzing Baseball Data with R, Second Edition
Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to transforming them into an appropriate format to visualizing the data via graphs to performing a statistical analysis. The authors first present an overview of publicly available baseball datasets and a gentle introduction to the type of data structures and exploratory and data management capabilities of R. They also cover the ggplot2 graphics functions and employ a tidyverse-friendly workflow throughout. Mu...
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling. After equipping readers with just enough of these data science tools to perform effective exploratory data analyses, the book covers traditional introductory statistics topics like confidence intervals, hypothesis testing, and multiple regression modeling, while focusing on visualization throughout. Features: ● Assumes minimal prerequisi...
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Basketball Data Science
Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball. Whether assessing the spatial performance of an NBA player's shots or doing an analysis of the impact of high pressure game situations on the probability of scoring, this book discusses a variety of case studies and hands-on examples using a custom R package. The codes are supplied so readers can reproduce the analyses themselves or create their own. Assuming a basic statistical knowledge, Basketball Data Science with R is suitable for students, technicians, coaches, data analysts and applied researchers. Features: One of the first books to provide statistical and data mining methods for the growing field of analytics in basketball Presents tools for modelling graphs and figures to visualize the data Includes real world case studies and examples, such as estimations of scoring probability using the Golden State Warriors as a test case Provides the source code and data so readers can do their own analyses on NBA teams and players
Understanding Crime Trends
Changes over time in the levels and patterns of crime have significant consequences that affect not only the criminal justice system but also other critical policy sectors. Yet compared with such areas as health status, housing, and employment, the nation lacks timely information and comprehensive research on crime trends. Descriptive information and explanatory research on crime trends across the nation that are not only accurate, but also timely, are pressing needs in the nation's crime-control efforts. In April 2007, the National Research Council held a two-day workshop to address key substantive and methodological issues underlying the study of crime trends and to lay the groundwork for a proposed multiyear NRC panel study of these issues. Six papers were commissioned from leading researchers and discussed at the workshop by experts in sociology, criminology, law, economics, and statistics. The authors revised their papers based on the discussants' comments, and the papers were then reviewed again externally. The six final workshop papers are the basis of this volume, which represents some of the most serious thinking and research on crime trends currently available.
Bayes Rules!
Praise for Bayes Rules!: An Introduction to Applied Bayesian Modeling “A thoughtful and entertaining book, and a great way to get started with Bayesian analysis.” Andrew Gelman, Columbia University “The examples are modern, and even many frequentist intro books ignore important topics (like the great p-value debate) that the authors address. The focus on simulation for understanding is excellent.” Amy Herring, Duke University “I sincerely believe that a generation of students will cite this book as inspiration for their use of – and love for – Bayesian statistics. The narrative holds the reader’s attention and flows naturally – almost conversationally. Put simply, this is p...
Politics and Public Policy
Break with convention - An original look at policymaking Policymaking is a messy business. It entails more than the traditional policy cycle discussed in most textbooks. And it involves more than presidents and members of Congress. Judges, bureaucrats, corporate leaders, journalists, and voters all influence and participate in the process, and at all levels of government. Each group practices a different kind of politics, which very often results in different policies and outcomes. By looking at six distinct, yet connected, policy domains, your students will see a more comprehensive and realistic view of policymaking: Boardroom Politics - decisions by professional and business leaders Bureau...
Neil M. Denari
Neil M. Denari / NMDA: The Baumer Lectures contains transcribed conversations that were part of Neil M. Denari's appointment as 2015-16 Baumer Distinguished Professor at the Ohio State University and provide a close look at a few recent projects: the Sotoak Extension, the New Keelung Harbor Services Building, and the Sori Yanagi Museum. Essays by Justin Diles, Courtney Coffman, and Kay Bea Jones augment these conversations and highlight a number of elements in both the projects that are presented as well as those from NMDA's larger body of work. Each project documented here is the result of a practice that has continued to tackle multiple facets of the discipline simultaneously while evolving a trajectory of work that continues to exhibit the aspects that made it original in the first place.
