國立高雄大學圖資館 |

Language: English

Back

Data visualization for social and policy researcha step-by-step approach using R and Python /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data visualization for social and policy researchJose Manuel Magallanes Reyes.
Reminder of title:	a step-by-step approach using R and Python /
Author:	Magallanes Reyes, Jose Manuel.
Published:	Cambridge :Cambridge University Press,2022.
Description:	vi, 285 p. :ill., digital ;23 cm.
Notes:	Title from publisher's bibliographic system (viewed on 16 Mar 2022).
Subject:	Social sciencesResearch.
Online resource:	https://doi.org/10.1017/9781108625425
ISBN:	9781108625425

Data visualization for social and policy researcha step-by-step approach using R and Python /
Magallanes Reyes, Jose Manuel.

Data visualization for social and policy researcha step-by-step approach using R and Python /[electronic resource] :Jose Manuel Magallanes Reyes. - Cambridge :Cambridge University Press,2022. - vi, 285 p. :ill., digital ;23 cm.

Title from publisher's bibliographic system (viewed on 16 Mar 2022).

All social and policy researchers need to synthesize data into a visual representation. Producing good visualizations combines creativity and technique. This book teaches the techniques and basics to produce a variety of visualizations, allowing readers to communicate data and analyses in a creative and effective way. Visuals for tables, time series, maps, text, and networks are carefully explained and organized, showing how to choose the right plot for the type of data being analysed and displayed. Examples are drawn from public policy, public safety, education, political tweets, and public health. The presentation proceeds step by step, starting from the basics, in the programming languages R and Python so that readers learn the coding skills while simultaneously becoming familiar with the advantages and disadvantages of each visualization. No prior knowledge of either Python or R is required. Code for all the visualizations are available from the book's website.

ISBN: 9781108625425Subjects--Topical Terms:

178448
Social sciences
--Research.

LC Class. No.: H62.D38 / M34 2022

Dewey Class. No.: 300.72

Data visualization for social and policy researcha step-by-step approach using R and Python /
LDR:01878nmm a2200253 a 4500 001 626583
003 UkCbUP
005 20220410092304.0
006 m d
007 cr nn 008maaau
008 230118s2022 enk o 1 0 eng d
020 $a 9781108625425 $q (electronic bk.)
020 $a 9781108494335 $q (hardback)
020 $a 9781108714389 $q (paperback)
035 $a CR9781108625425
040 $a UkCbUP $b eng $c UkCbUP $d GP
050 4 $a H62.D38 $b M34 2022
082 0 4 $a 300.72 $2 23
090 $a H62.D38 $b M188 2022
100 1 $a Magallanes Reyes, Jose Manuel. $3 930076
245 1 0 $a Data visualization for social and policy research $h [electronic resource] : $b a step-by-step approach using R and Python / $c Jose Manuel Magallanes Reyes.
260 $a Cambridge : $b Cambridge University Press, $c 2022.
300 $a vi, 285 p. : $b ill., digital ; $c 23 cm.
500 $a Title from publisher's bibliographic system (viewed on 16 Mar 2022).
520 $a All social and policy researchers need to synthesize data into a visual representation. Producing good visualizations combines creativity and technique. This book teaches the techniques and basics to produce a variety of visualizations, allowing readers to communicate data and analyses in a creative and effective way. Visuals for tables, time series, maps, text, and networks are carefully explained and organized, showing how to choose the right plot for the type of data being analysed and displayed. Examples are drawn from public policy, public safety, education, political tweets, and public health. The presentation proceeds step by step, starting from the basics, in the programming languages R and Python so that readers learn the coding skills while simultaneously becoming familiar with the advantages and disadvantages of each visualization. No prior knowledge of either Python or R is required. Code for all the visualizations are available from the book's website.
650 0 $a Social sciences $x Research. $3 178448
650 0 $a Policy sciences $x Research. $3 201444
650 0 $a Information visualization. $3 248886
650 0 $a R (Computer program language) $3 210846
650 0 $a Python (Computer program language) $3 215247
856 4 0 $u https://doi.org/10.1017/9781108625425