MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03267cam a2200397 i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
20616792 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240802152923.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
180803s2019 maua b 001 0 eng |
| 010 ## - LIBRARY OF CONGRESS CONTROL NUMBER |
|---|
| LC control number |
2018953978 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9780135133101 |
| Qualifying information |
(pbk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
0135133106 |
| Qualifying information |
(pbk.) |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
DLC |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
TUPM |
| 042 ## - AUTHENTICATION CODE |
|---|
| Authentication code |
pcc |
| 050 #0 - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
QA |
| Item number |
276.45.R3 F74 2019 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Freeman, Michael |
| Fuller form of name |
(Michael K.), |
| Relator term |
author. |
| 245 00 - TITLE STATEMENT |
|---|
| Title |
Programming skills for data science : |
| Remainder of title |
start writing code to wrangle, analyze, and visualize data with R / |
| Statement of responsibility, etc. |
Michael Freeman, Joel Ross. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Boston [MA] : |
| Name of producer, publisher, distributor, manufacturer |
Addison-Wesley, |
| Date of production, publication, distribution, manufacture, or copyright notice |
[2019] |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvi, 361 pages : |
| Other physical details |
illustrations (chiefly color) ; |
| Dimensions |
23 cm. |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 490 0# - SERIES STATEMENT |
|---|
| Series statement |
Addison Wesley data & analytics series |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
I. Getting started. Setting up your computer Using the command line II. Managing projects. Version control with GIT and GitHub Using Markdown for documentation III. Foundational R skills. Introduction to R Functions Vectors Lists IV. Data wrangling. Understanding data Data frames Manipulating data with dplyr Reshaping data with tidyr Accessing databases Accessing web APIs V. Data visualization. Designing data visualizations Creating visualizations with ggplot2 Interactive visualization in R VI. Building and sharing application. Dynamic reports with R Markdown Building interactive web applications with Shiny Working collaboratively Moving forward |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
"Using data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. Programming Skills for Data Science brings together all the foundational skills you need to get started, even if you have no programming or data science experience. Leading instructors Michael Freeman and Joel Ross guide you through installing and configuring the tools you need to solve professional-level data science problems, including the widely used R language and Git version-control system. |
| Expansion of summary note |
They explain how to wrangle your data into a form where it can be easily used, analyzed, and visualized so others can see the patterns you've uncovered. Step by step, you'll master powerful R programming techniques and troubleshooting skills for probing data in new ways, and at larger scales. Freeman and Ross teach through practical examples and exercises that can be combined into complete data science projects. Everything's focused on real-world application, so you can quickly start analyzing your own data and getting answers you can act upon."--Publisher's description |
| 650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
R (Computer program language) |
| 650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Application software |
| General subdivision |
Development. |
| 650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Information visualization. |
| 650 10 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Machine learning. |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Ross, Joel |
| Titles and other words associated with a name |
(Lecturer in computer science), |
| Relator term |
author. |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
orignew |
| d |
2 |
| e |
epcn |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Book |