Exploratory data analysis using R (Record no. 211915)

000 -LEADER
fixed length control field aam a22 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190501b 2018 ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781498730235
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312
Item number P3E9
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Pearson, Ronald K.
9 (RLIN) 379341
245 ## - TITLE STATEMENT
Title Exploratory data analysis using R
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc CRC Press
Date of publication, distribution, etc 2018
Place of publication, distribution, etc Florida
300 ## - PHYSICAL DESCRIPTION
Extent xv, 547p.
Other physical details With index
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Chapman and Hall/CRC data mining and knowledge discovery series
9 (RLIN) 379342
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Table of Contents

I Analyzing Data Interactively with R
1 Data, Exploratory Analysis, and R
2 Graphics in R
3 Exploratory Data Analysis: A First Look
4 Working with External Data
5 Linear Regression Models
6 Crafting Data Stories

II Developing R Programs
7 Programming in R
8 Working with Text Data
9 Exploratory Data Analysis: A Second Look
10 More General Predictive Models
11 Keeping It All Together
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.

https://www.crcpress.com/Exploratory-Data-Analysis-Using-R/Pearson/p/book/9781138480605
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematical statistics--data processing
9 (RLIN) 379343
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining
9 (RLIN) 379344
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Electronic data processing--data preparation
9 (RLIN) 379345
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R--computer program language
9 (RLIN) 379346
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent location Current location Shelving location Date acquired Source of acquisition Cost, normal purchase price Item location Total Checkouts Full call number Barcode Date last seen Date last borrowed Cost, replacement price Koha item type
          Non-fiction Vikram Sarabhai Library Vikram Sarabhai Library General Stacks 2019-05-01 19 4.00 Slot 105 (0 Floor, West Wing) 1 006.312 P3E9 199271 2019-08-06 2019-06-24 5161.44 Books

Powered by Koha