MARC details
000 -LEADER |
fixed length control field |
02332nam a22002537a 4500 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20250319151035.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
250311b |||||||| |||| 00| 0 hin d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9780367571566 |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
NISER LIBRARY |
Language of cataloging |
eng |
Transcribing agency |
NISER LIBRARY |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
004.42 |
Item number |
PEA-E |
100 ## - MAIN ENTRY--PERSONAL NAME |
Personal name |
Pearson, Ronald K. |
245 ## - TITLE STATEMENT |
Title |
Exploratory data analysis using R |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
Place of publication, distribution, etc. |
Boca Raton : |
Name of publisher, distributor, etc. |
CRC Press/Taylor & Francis Group, |
Date of publication, distribution, etc. |
2020. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
xiii, 547 pages : |
Other physical details |
illustrations ; |
Dimensions |
24 cm |
490 ## - SERIES STATEMENT |
Series statement |
Chapman & Hall/CRC data mining and knowledge discovery series |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc |
Includes bibliographical references and index. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" – good, bad, and ugly – features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R to explore and explain data. The book begins with a detailed overview of data, exploratory analysis, and R, as well as graphics in R. It then explores working with external data, linear regression models, and crafting data stories. The second part of the book focuses on developing R programs, including good programming practices and examples, working with text data, and general predictive models. The book ends with a chapter on "keeping it all together" that includes managing the R installation, managing files, documenting, and an introduction to reproducible computing. The book is designed for both advanced undergraduate, entry-level graduate students, and working professionals with little to no prior exposure to data analysis, modeling, statistics, or programming. it keeps the treatment relatively non-mathematical, even though data analysis is an inherently mathematical subject. Exercises are included at the end of most chapters, and an instructor's solution manual is available. |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Data mining |
General subdivision |
Computer programs |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
R (Computer program language) |
856 ## - ELECTRONIC LOCATION AND ACCESS |
Materials specified |
Table of content |
Uniform Resource Identifier |
<a href="https://www.routledge.com/Exploratory-Data-Analysis-Using-R/Pearson/p/book/9780367571566#googlePreviewContainer">https://www.routledge.com/Exploratory-Data-Analysis-Using-R/Pearson/p/book/9780367571566#googlePreviewContainer</a> |
856 ## - ELECTRONIC LOCATION AND ACCESS |
Materials specified |
Reviews |
Uniform Resource Identifier |
<a href="https://www.goodreads.com/book/show/53907362-exploratory-data-analysis-using-r?ref=nav_sb_ss_1_13#CommunityReviews">https://www.goodreads.com/book/show/53907362-exploratory-data-analysis-using-r?ref=nav_sb_ss_1_13#CommunityReviews</a> |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
Universal Decimal Classification |
Koha item type |
Book |