From one of Canada's top baseball writers and radio hosts: a retrospective of the Toronto Blue Jays on the 20th anniversary of Joe Carter's World Series-winning home run--and a look ahead to what promises to be their most successful season since. A must-have for all Blue Jays fans, and a great read for Toronto and Canadian sports fans in general. In Full Count, Jeff Blair takes us back to the days when the Toronto Blue Jays were "the Cadillac of franchises," and shows us exactly what they did right to become baseball's premier club. Then he explores the disappointing aftermath, when the league's fourth-largest market became an also-ran: seemingly destined to languish behind the big-spending Yankees and Red Sox and free-wheeling Rays--until the offseason of 2012. Full Count will appeal not only to casual fans wanting re-live Blue Jays history, but also to the serious baseball fan who wants to know the real details and business decisions that drove the team to the pinnacle, then to mediocrity, and now (hopefully) back to the top once again.

Policy makers, academic administrators, scholars, and members of the public are clamoring for indicators of the value and reach of research. The question of how to quantify the impact and importance of research and scholarly output, from the publication of books and journal articles to the indexing of citations and tweets, is a critical one in predicting innovation, and in deciding what sorts of research is supported and whom is hired to carry it out. There is a wide set of data and tools available for measuring research, but they are often used in crude ways, and each have their own limitations and internal logics. Measuring Research: What Everyone Needs to Know(R) will provide, for the first time, an accessible account of the methods used to gather and analyze data on research output and impact. Following a brief history of scholarly communication and its measurement -- from traditional peer review to crowdsourced review on the social web -- the book will look at the classification of knowledge and academic disciplines, the differences between citations and references, the role of peer review, national research evaluation exercises, the tools used to measure research, the many different types of measurement indicators, and how to measure interdisciplinarity. The book also addresses emerging issues within scholarly communication, including whether or not measurement promotes a "publish or perish" culture, fraud in research, or "citation cartels." It will also look at the stakeholders behind these analytical tools, the adverse effects of these quantifications, and the future of research measurement.

Census data are widely used by practitioners to understand demographic change, allocate resources, address inequalities, and make sound business decisions. Until recently, projects using US Census data have required proficiency with multiple web interfaces and software platforms to prepare, map, and present data products. This book introduces readers to tools in the R programming language for accessing and analyzing Census data, helping analysts manage these types of projects in a single computing environment. Chapters in this book cover the following key topics: • Rapidly acquiring data from the decennial US Census and American Community Survey using R, then analyzing these datasets using tidyverse tools; • Visualizing US Census data with a wide range of methods including charts in ggplot2 as well as both static and interactive maps; • Using R as a geographic information system (GIS) to manage, analyze, and model spatial demographic data from the US Census; • Working with and modeling individual-level microdata from the American Community Survey’s PUMS datasets; • Applying these tools and workflows to the analysis of historical Census data, other US government datasets, and international Census data from countries like Canada, Brazil, Kenya, and Mexico. Kyle Walker is an associate professor of geography at Texas Christian University, director of TCU’s Center for Urban Studies, and a spatial data science consultant. His research focuses on demographic trends in the United States, demographic data visualization, and software tools for open spatial data science. He is the lead author of a number of R packages including tigris, tidycensus, and mapboxapi.

Met and Yankee All-Star pitcher David Cone shares lessons from the World Series and beyond in this essential New York Times bestselling memoir for baseball fans everywhere. "There was a sense about him and an aura about him. Even when he was in trouble, he carried himself like a pitcher who said, 'I'm the man out here.' And he usually was." -- Andy Pettitte on David Cone. To any baseball fan, David Cone was a bold and brilliant pitcher. During his 17-year career, he became a master of the mechanics and mental toughness a pitcher needs to succeed in the major leagues. A five-time All-Star and five-time World Champion now gives his full count -- balls and strikes, errors and outs -- of his colorful life in baseball. From the pitchers he studied to the hitters who infuriated him, Full Count takes readers inside the mind of a thoughtful pitcher, detailing Cone's passion, composure and strategies. The book is also filled with never-before-told stories from the memorable teams Cone played on -- ranging from the infamous late '80s Mets to the Yankee dynasty of the '90s. And, along the way, Full Count offers the lessons baseball taught Cone -- from his mistakes as a young and naive pitcher to outwitting the best hitters in the world -- one pitch at a time.