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 |
fixed length control field |
m o d |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr ||||||||||| |
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 |