MARC details
| 000 -LEADER |
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| fixed length control field |
03301nam a22003617a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
IIITD |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240813020005.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
240401b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9789355429827 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
IIITD |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
004 |
| Item number |
WIC-R |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Wickham, Hadley |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
R for data science : |
| Remainder of title |
import, tidy, transform, visualize, and model data |
| Statement of responsibility, etc |
by Hadley Wickham, Mine Cetinkaya-Rundel and Garrett Grolemund. |
| 250 ## - EDITION STATEMENT |
|---|
| Edition statement |
2nd ed. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
Beijing : |
| Name of publisher, distributor, etc |
O'Reilly, |
| Date of publication, distribution, etc |
©2023 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xxiii, 548 p. : |
| Other physical details |
col. ill. ; |
| Dimensions |
24 cm |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Title |
Part I. Whole Game |
| -- |
Part II. Visualize |
| -- |
Part III. Transform |
| -- |
Part IV. Import |
| -- |
Part V. Program |
| -- |
Part VI. Communicate |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle —transform your datasets into a form convenient for analysis Program —learn powerful R tools for solving data problems with greater clarity and ease Explore —examine your data, generate hypotheses, and quickly test them Model —provide a low-dimensional summary that captures true "signals" in your dataset Communicate —learn R Markdown for integrating prose, code, and results. "Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible.Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way"--Publisher's summary.<br/>Collapse summary |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
R (Computer program language) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Data mining |
| General subdivision |
Computer programs. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Information visualization |
| General subdivision |
Computer programs. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Big data. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Databases. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Big data. |
| Source of heading or term |
fast |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Databases. |
| Source of heading or term |
fast |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Electronic data processing. |
| Source of heading or term |
fast |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
R (Computer program language) |
| Source of heading or term |
fast |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Statistics. |
| Source of heading or term |
fast |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Cetinkaya-Rundel, Mine |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Grolemund, Garrett |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
| Koha issues (borrowed), all copies |
4 |
