Data science fundamentals with R, Python, and open data / (Record no. 91945)

000 -LEADER
fixed length control field 04699cam a2200493 i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250820082520.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS--GENERAL INFORMATION
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250820s2024 njum o u001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781394213269
Qualifying information (epub)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1394213263
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781394213252
Qualifying information (adobe pdf)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1394213255
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781394213276
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 1394213271
Qualifying information electronic book
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9781394213245
Qualifying information (hardback)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 1394213247
Qualifying information hardcover
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1002/9781394213276
Source of number or code doi
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1428132588
037 ## - SOURCE OF ACQUISITION
Stock number 9781394213245
Source of stock number/acquisition O'Reilly Media
037 ## - SOURCE OF ACQUISITION
Stock number 10501959
Source of stock number/acquisition IEEE
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.D343
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3/12
Edition number 23/eng/20240412
100 1# - MAIN ENTRY--PERSONAL NAME
Preferred name for the person Cremonini, Marco,
Authority record control number https://id.loc.gov/authorities/names/no2024037382
Relator term author.
245 10 - TITLE STATEMENT
Title Data science fundamentals with R, Python, and open data /
Statement of responsibility, etc Marco Cremonini.
264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Hoboken, New Jersey :
Name of publisher, distributor, etc Wiley,
Date of publication, distribution, etc [2024]
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent.
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia.
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier.
500 ## - GENERAL NOTE
General note Includes index.
505 0# - CONTENTS
Formatted contents note Table of Contents<br/>Preface xiii<br/><br/>About the Companion Website xvii<br/><br/>Introduction xix<br/><br/>1 Open-Source Tools for Data Science 1<br/><br/>1.1 R Language and RStudio 1<br/><br/>1.2 Python Language and Tools 5<br/><br/>1.3 Advanced Plain Text Editor 8<br/><br/>1.4 CSV Format for Datasets 8<br/><br/>2 Simple Exploratory Data Analysis 13<br/><br/>2.1 Missing Values Analysis 13<br/><br/>2.2 R: Descriptive Statistics and Utility Functions 15<br/><br/>2.3 Python: Descriptive Statistics and Utility Functions 17<br/><br/>3 Data Organization and First Data Frame Operations 23<br/><br/>3.1 R: Read CSV Datasets and Column Selection 24<br/><br/>3.2 R: Rename and Relocate Columns 36<br/><br/>3.3 R: Slicing, Column Creation, and Deletion 38<br/><br/>3.4 R: Separate and Unite Columns 45<br/><br/>3.5 R: Sorting Data Frames 49<br/><br/>3.6 R: Pipe 55<br/><br/>3.7 Python: Column Selection 59<br/><br/>3.8 Python: Rename and Relocate Columns 67<br/><br/>3.9 Python: NumPy Slicing, Selection with Index, Column Creation and Deletion 69<br/><br/>3.10 Python: Separate and Unite Columns 81<br/><br/>3.11 Python: Sorting Data Frame 85<br/><br/>4 Subsetting with Logical Conditions 99<br/><br/>4.1 Logical Operators 99<br/><br/>4.2 R: Row Selection 101<br/><br/>5 Operations on Dates, Strings, and Missing Values 127<br/><br/>5.1 R: Operations on Dates and Strings 129<br/><br/>5.2 R: Handling Missing Values and Data Type Transformations 141<br/><br/>5.3 R: Example with Dates, Strings, and Missing Values 154<br/><br/>5.4 Pyhton: Operations on Dates and Strings 165<br/><br/>5.5 Python: Handling Missing Values and Data Type Transformations 173<br/><br/>5.6 Python: Examples with Dates, Strings, and Missing Values 182<br/><br/>6 Pivoting and Wide-long Transformations 195<br/><br/>6.1 R: Pivoting 197<br/><br/>6.2 Python: Pivoting 202<br/><br/>7 Groups and Operations on Groups 221<br/><br/>7.1 R: Groups 222<br/><br/>7.2 Python: Groups 244<br/><br/>8 Conditions and Iterations 271<br/><br/>8.1 R: Conditions and Iterations 272<br/><br/>8.2 Python: Conditions and Iterations 284<br/><br/>9 Functions and Multicolumn Operations 307<br/><br/>9.1 R: User-defined Functions 308<br/><br/>9.2 R: Multicolumn Operations 316<br/><br/>9.3 Python: User-defined and Lambda Functions 330<br/><br/>10 Join Data Frames 347<br/><br/>10.1 Basic Concepts 348<br/><br/>10.2 Python: Join Operations 369<br/><br/>11 List/Dictionary Data Format 393<br/><br/>11.1 R: List Data Format 395<br/><br/>11.2 R: JSON Data Format and Use Cases 410<br/><br/>11.3 Python: Dictionary Data Format 422<br/><br/>Questions 443<br/><br/>Index 447
520 ## - SUMMARY, ETC.
Summary, etc "Data science is an interdisciplinary academic field that uses statistics, scientific computing, scientific methods, processes, algorithms and systems to extract or extrapolate knowledge and insights from noisy, structured, and unstructured data."--
Assigning source Provided by publisher.
545 0# - BIOGRAPHICAL OR HISTORICAL DATA
Biographical or historical note About the Author<br/>Marco Cremonini is Assistant Professor with the Department of Social and Political Sciences at the University of Milan, Italy. He is Academic Editor and Board Member of PLOS ONE and his current research interests are focused on computational network and agent-based models of propagation and behavior.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
Authority record control number https://id.loc.gov/authorities/subjects/sh97002073.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element R (Computer program language)
Authority record control number https://id.loc.gov/authorities/subjects/sh2002004407.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Python (Computer program language)
Authority record control number https://id.loc.gov/authorities/subjects/sh96008834.
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://onlinelibrary.wiley.com/doi/book/10.1002/9781394213276
Link text Full text is available at Wiley Online Library Click here to view
942 ## - ADDED ENTRY ELEMENTS
Source of classification or shelving scheme
Item type EBOOK
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Date acquired Source of acquisition Full call number Date last seen Price effective from Item type
          COLLEGE LIBRARY COLLEGE LIBRARY 2025-08-20 ALBASA Consortium 006.3/12 2025-08-20 2025-08-20 EBOOK