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Analyzing Baseball Data with R, Second Edition (Paperback, 2nd edition)
Loot Price: R1,752
Discovery Miles 17 520
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Analyzing Baseball Data with R, Second Edition (Paperback, 2nd edition)
Series: Chapman & Hall/CRC The R Series
Expected to ship within 12 - 17 working days
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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. Much of the
book illustrates the use of R through popular sabermetrics topics,
including the Pythagorean formula, runs expectancy, catcher
framing, career trajectories, simulation of games and seasons,
patterns of streaky behavior of players, and launch angles and exit
velocities. All the datasets and R code used in the text are
available online. New to the second edition are a systematic
adoption of the tidyverse and incorporation of Statcast player
tracking data (made available by Baseball Savant). All code from
the first edition has been revised according to the principles of
the tidyverse. Tidyverse packages, including dplyr, ggplot2, tidyr,
purrr, and broom are emphasized throughout the book. Two entirely
new chapters are made possible by the availability of Statcast
data: one explores the notion of catcher framing ability, and the
other uses launch angle and exit velocity to estimate the
probability of a home run. Through the book's various examples, you
will learn about modern sabermetrics and how to conduct your own
baseball analyses. Max Marchi is a Baseball Analytics Analyst for
the Cleveland Indians. He was a regular contributor to The Hardball
Times and Baseball Prospectus websites and previously consulted for
other MLB clubs. Jim Albert is a Distinguished University Professor
of statistics at Bowling Green State University. He has authored or
coauthored several books including Curve Ball and Visualizing
Baseball and was the editor of the Journal of Quantitative Analysis
of Sports. Ben Baumer is an assistant professor of statistical
& data sciences at Smith College. Previously a statistical
analyst for the New York Mets, he is a co-author of The Sabermetric
Revolution and Modern Data Science with R.
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