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Modern data science with R

Modern data science with R (1회 대출)

자료유형
단행본
개인저자
Baumer, Benjamin. Kaplan, Daniel. Horton, Nicholas J.
서명 / 저자사항
Modern data science with R / Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton.
발행사항
Boca Raton :   CRC Press,Taylor & Francis Group, CRC Press is an imprint of the Taylor & Francis Group, an informa business,   c2017.  
형태사항
xxvi, 551 p. : ill. (soem col.). ; 26 cm.
총서사항
Texts in statistical science
ISBN
9781498724487 (acid-free paper)
서지주기
Includes bibliographical references (p. 499-512) and indexes.
일반주제명
Data mining. Big data. Mathematical statistics --Data processing. R (Computer program language).
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008 200420s2017 flua b 001 0 eng
010 ▼a 2016042514
020 ▼a 9781498724487 (acid-free paper)
035 ▼a (KERIS)REF000018184406
040 ▼a DLC ▼b eng ▼c DLC ▼e rda ▼d DLC ▼d 211009
050 0 0 ▼a QA76.9.D343 ▼b B38 2017
082 0 0 ▼a 006.3/12 ▼2 23
084 ▼a 006.312 ▼2 DDCK
090 ▼a 006.312 ▼b B347m
100 1 ▼a Baumer, Benjamin.
245 1 0 ▼a Modern data science with R / ▼c Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton.
260 ▼a Boca Raton : ▼b CRC Press,Taylor & Francis Group, CRC Press is an imprint of the Taylor & Francis Group, an informa business, ▼c c2017.
300 ▼a xxvi, 551 p. : ▼b ill. (soem col.). ; ▼c 26 cm.
490 1 ▼a Texts in statistical science
504 ▼a Includes bibliographical references (p. 499-512) and indexes.
650 0 ▼a Data mining.
650 0 ▼a Big data.
650 0 ▼a Mathematical statistics ▼x Data processing.
650 0 ▼a R (Computer program language).
700 1 ▼a Kaplan, Daniel.
700 1 ▼a Horton, Nicholas J.
830 0 ▼a Texts in statistical science.
945 ▼a KLPA

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 중앙도서관/서고6층/ 청구기호 006.312 B347m 등록번호 111827730 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

목차

This site includes additional resources:
http://mdsr-book.github.io/


Introduction to Data Science


Prologue: Why data science?


Data visualization


A grammar for graphics


Data wrangling


Tidy data and iteration


Professional Ethics


Statistics and Modeling


Statistical foundations


Statistical learning and predictive analytics


Unsupervised learning


Simulation


Topics in Data Science


Interactive data graphics


Database querying using SQL


Database administration


Working with spatial data


Text as data


Network science


Epilogue: Towards \big data"


Appendices


Packages used in this book


Introduction to R and RStudio


Algorithmic thinking


Reproducible analysis and workflow


Regression modeling


Setting up a database server

관련분야 신착자료

Baumer, Benjamin (2021)