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Telling stories with data :with applications in R /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Telling stories with data :Rohan Alexander.
Reminder of title:	with applications in R /
Author:	Alexander, Rohan,
Description:	1 online resource (xxiii, 508 pages) :illustrations (some color), maps (some color).
Subject:	Information visualization.
Online resource:	https://www.taylorfrancis.com/books/9781003229407
ISBN:	9781000895797$qelectronic book

Telling stories with data :with applications in R /
Alexander, Rohan,

Telling stories with data :with applications in R /Rohan Alexander. - First edition. - 1 online resource (xxiii, 508 pages) :illustrations (some color), maps (some color). - Chapman & Hall/CRC data science series. - Chapman & Hall/CRC data science series..

Includes bibliographical references and index.

"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"--

ISBN: 9781000895797$qelectronic book

Standard No.: 10.1201/9781003229407doi

Source: 9781003229407Taylor & Francis

LCCN: 2022058453Subjects--Topical Terms:

248886
Information visualization.

LC Class. No.: QA76.9.I52 / A44 2023

Dewey Class. No.: 001.4/226

Telling stories with data :with applications in R /
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245 1 0 $a Telling stories with data : $b with applications in R / $c Rohan Alexander.
250 $a First edition.
264 1 $a Boca Raton, FL : $b CRC Press, $c 2023.
264 4 $c ©2023
300 $a 1 online resource (xxiii, 508 pages) : $b illustrations (some color), maps (some color).
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
490 1 $a Chapman & Hall/CRC data science series
504 $a Includes bibliographical references and index.
520 $a "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"-- $c Provided by publisher.
588 $a Description based on online resource; title from digital title page (viewed on September 19, 2023).
650 0 $a Information visualization. $3 248886
650 0 $a Big data. $3 609582
650 0 $a R (Computer program language) $3 210846
650 0 $a Mathematical statistics. $3 181877
650 6 $a Visualisation de l'information. $3 586442
650 6 $a Données volumineuses. $3 966387
650 6 $a R (Langage de programmation) $3 943796
650 7 $a BUSINESS & ECONOMICS / Statistics $2 bisacsh $3 584048
650 7 $a COMPUTERS / Database Management / Data Mining $2 bisacsh $3 966313
650 7 $a MATHEMATICS / Probability & Statistics / General $2 bisacsh $3 966309
650 7 $a Big data $v Congresses. $3 592065
650 7 $a Information visualization $v Congresses. $3 384487
650 7 $a Mathematical statistics $3 182294
776 0 8 $i Print version: $a Alexander, Rohan. $t Telling stories with data $b First edition. $d Boca Raton : CRC Press, [2023] $z 9781032134772 $w (DLC) 2022058452
830 0 $a Chapman & Hall/CRC data science series. $3 913818
856 4 0 $3 Taylor & Francis $u https://www.taylorfrancis.com/books/9781003229407
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