MARC details
| 000 -LEADER |
|---|
| fixed length control field |
04723cam a22004458i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
22277933 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
UPMIN |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20250326113801.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
211019t20222022nju b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2021042430 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781119598077 |
| Qualifying information |
(Hardback) |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Transcribing agency |
DLC |
| Description conventions |
rda |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 050 00 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
GV706.8 |
| Item number |
.K85 2022 |
| 082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
796.02/1 |
| Edition number |
23/eng/20211020 |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) |
|---|
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) |
GV706.8 |
| Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) |
.K85 2022 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kwartler, Ted, |
| Dates associated with a name |
1978- |
| Relator term |
author. |
| 9 (RLIN) |
27371 |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Sports analytics in practice with R / |
| Statement of responsibility, etc. |
Ted Kwartler, Maynard, MA, Robert Baker, Haymarket, VA. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
First Edition. |
| 263 ## - PROJECTED PUBLICATION DATE |
|---|
| Projected publication date |
2112 |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Hoboken, NJ : |
| Name of producer, publisher, distributor, manufacturer |
John Wiley & Sons, Inc., |
| Date of production, publication, distribution, manufacture, or copyright notice |
2022. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
volumes cm |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 500 ## - GENERAL NOTE |
|---|
| General note |
CA CAMIA (Recommending faculty) AY2022-2023 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Introduction to R -- Data Vizualization & Dashboards: Best practices -- Geospatial Data: Understanding changing baseball player behavior -- Machine Learning Basics: Modeling football draft patterns, pick number & clusters among athletes -- Logistic Regression: Explaining basketball wins & losses with coefficients -- Natual Language Processing: Understanding cricket fan topics & sentiment -- Linear Optimization: Programmatically seleting an optimal fantasy football lineup. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"R is an open-source, freely available programming language used throughout this book. R is a powerful and longstanding programming language developed more than 20 years ago. It is a derivative of the "S" programming language for statistics originating in the mid-nineties developed by AT&T and Lucent Technologies. Unlike other programming languages R is optimized specifically for statistics including but not limited to simulation, machine learning, visualizations and traditional statistical modeling (linear regression) as well as tests. Due to the open-source nature of R, many developers, academics, and enthusiasts have contributed to its development for their specific needs. As a result, the language is extensible meaning it can be easily used for various purposes. For example, through R markdown simple websites and presentations can be created. In another use case, R can be used for traditional linear modeling or machine learning and can draw upon various data types for analysis including audio files, digital images, text, numeric and various other data files and types. Thus, it is widely used and non-specialized other than to say R is an analysis language. This differs from other languages which specialize in web development like Ruby, or python which has extended its functionality to building applications not just analysis. In this textbook, the R language is applied specifically to sports contexts. Of course, the code in this book can be used to extend your understanding of sports analytics. It may give you insights to a particular sport or analytical aspect within the sport itself such as what statistics should be focused on to win a basketball game. However, learning the code in this book can also help open up a world of analytical capabilities beyond sports. One of the benefits of learning statistics, programming and various analysis methods with sports data is that the data is widely available, and outcomes are known. This means that your analysis, models and visualizations can be applied, and you can review the outcomes as you expand upon what is covered in this book. This differs from other programming and statistical examples which may resort to boring, synthetic data to illustrate an analytical result. Using sports data is realistic and can be future oriented, making the learning more challenging yet engaging. Modeling the survivors of the Titanic pales in comparison since you cannot change the historical outcome or save future cruise ship mates. Thus, modeling which team will win a match or which player is a good draft pick is a superior learning experience"-- |
| Assigning source |
Provided by publisher. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Sports |
| General subdivision |
Statistics. |
| 9 (RLIN) |
27372 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Mathematical statistics |
| General subdivision |
Computer programs. |
| 9 (RLIN) |
27373 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
R (Computer program language) |
| 9 (RLIN) |
27374 |
| 658 ## - INDEX TERM--CURRICULUM OBJECTIVE |
|---|
| Main curriculum objective |
Biomechanics I |
| Curriculum code |
SS151 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Baker, Robert E., |
| Dates associated with a name |
1957- |
| Relator term |
author. |
| 9 (RLIN) |
27375 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
|---|
| Relationship information |
Online version: |
| Main entry heading |
Kwartler, Ted, 1978- |
| Title |
Sports analytics in practice with R |
| Edition |
First Edition. |
| Place, publisher, and date of publication |
Hoboken, NJ : John Wiley & Sons, Inc., 2022 |
| International Standard Book Number |
9781119598060 |
| Record control number |
(DLC) 2021042431 |
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
|---|
| a |
Fo |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Book |
| Suppress in OPAC |
No |
