MARC details
| 020 ## - ISBN (INTERNATIONAL STANDARD BOOK NUMBER) |
| ISBN |
9781032134772 |
| Qualifying information |
(hbk) |
| 082 00 - DDC NUMBER |
| Classification number |
001.4/226 |
| Edition number |
23/eng/20230127 |
| Book number |
A-33 |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
| Author |
Alexander, Rohan, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
| Title |
Telling stories with data : |
| Remainder of title |
with applications in R / |
| Statement of responsibility, etc. |
Rohan Alexander. |
| 250 ## - EDITION STATEMENT |
| Edition statement |
First edition. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
| Place of publication, distribution |
Boca Raton : |
| Name of publisher, distributor |
CRC Press, |
| Date of publication, distribution |
[2023] |
| 300 ## - PHYSICAL DESCRIPTION |
| Pages |
pages cm. |
| 490 0# - SERIES STATEMENT |
| Series statement |
Chapman & Hall/CRC data science series |
| 520 ## - SUMMARY, ETC. |
| Summary, etc. |
"The book equips students with the end-to-end skills needed to do data science. That means gathering, cleaning, preparing, and sharing data, then using statistical models to analyse data, writing about the results of those models, drawing conclusions from them, and finally, using the cloud to put a model into production, all done in a reproducible way. At the moment, there are a lot of books that teach data science, but most of them assume that you already have the data. This book fills that gap by detailing how to go about gathering datasets, cleaning and preparing them, before analysing them. There are also a lot of books that teach statistical modelling, but few of them teach how to communicate the results of the models and how they help us learn about the world. Very few data science textbooks cover ethics, and most of those that do, have a token ethics chapter. Finally, reproducibility is not often emphasised in data science books. This book is based around a straight-forward workflow conducted in an ethical and reproducible way: gather data, prepare data, analyse data, and communicate those findings. This book will achieve the goals by working through extensive case studies in terms of gathering and preparing data, and integrating ethics throughout. It is specifically designed around teaching how to write about the data and models, so aspects such as writing are explicitly covered. And finally, the use of GitHub and the open-source statistical language R are built in throughout the book"-- |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term |
Information visualization. |
|
| Topical term |
Big data. |
|
| Topical term |
R (Computer program language) |
|
| Topical term |
Mathematical statistics. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Cassification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Textbook |
| 000 -LEADER |
| fixed length control field |
02653cam a22003498i 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
221215s2023 flu b 001 0 eng |
| 263 ## - PROJECTED PUBLICATION DATE |
| Projected publication date |
2306 |
| 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 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc. note |
Includes bibliographical references and index. |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
| a |
7 |
| b |
cbc |
| c |
orignew |
| d |
1 |
| e |
ecip |
| f |
20 |
| g |
y-gencatlg |