Learn R for applied statistics : With data visualizations, regressions, and statistics (Record no. 661959)

MARC details
000 -LEADER
fixed length control field 01180nam a22001817a 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781484246344
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 1
Classification number 519.502 855 362
Item number GOH-L
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Goh Ming Hui, Eric
245 ## - TITLE STATEMENT
Title Learn R for applied statistics : With data visualizations, regressions, and statistics
Statement of responsibility, etc By Eric Goh Ming Hui
250 ## - EDITION STATEMENT
Edition statement 1
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Singapore, New York:
Name of publisher Apress,
Year of publication c2019.
300 ## - PHYSICAL DESCRIPTION
Number of Pages i-xv+243P.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Introduction<br/>Getting started<br/>Basic syntax<br/>Descriptive statistics<br/>Data Visualizations<br/>Inferential statistics and regressions
520 ## - SUMMARY, ETC.
Summary, etc Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and data mining. This book covers topics ranging from R syntax basics, descriptive statistics, and data visualizations to inferential statistics and regressions. After learning R's syntax,
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Apprentissage automatique Data mining Electronic books Exploration de données (Informatique) MATHEMATICS / Applied MATHEMATICS / Probability & Statistics / General Machine learning R (Computer program language)
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.worldcat.org/title/1077292141
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Home Library Current Location Date acquired Full call number Accession Number Price effective from Koha item type
        Dept. of Computational Biology and Bioinformatics Dept. of Computational Biology and Bioinformatics 31/10/2022 519.502 855 362 GOH-L DCB4161 31/10/2022 Book