000 02356nam a2200385 i 4500
001 CR9781108625425
003 UkCbUP
005 20240906165519.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 190128s2022||||enk o ||1 0|eng|d
020 _a9781108625425 (ebook)
020 _z9781108494335 (hardback)
020 _z9781108714389 (paperback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 4 _aH62
_b.M34 2022
082 0 4 _a300.72
_223
100 1 _aMagallanes Reyes, Jose Manuel,
_eauthor.
245 1 0 _aData visualization for social and policy research :
_ba step-by-step approach using R and Python /
_cJose Manuel Magallanes Reyes.
264 1 _aCambridge :
_bCambridge University Press,
_c2022.
300 _a1 online resource (vi, 285 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 16 Mar 2022).
520 _aAll 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 _aSocial sciences
_xResearch.
650 0 _aPolicy sciences
_xResearch.
650 0 _aInformation visualization.
650 0 _aR (Computer program language)
650 0 _aPython (Computer program language)
776 0 8 _iPrint version:
_z9781108494335
856 4 0 _uhttps://doi.org/10.1017/9781108625425
942 _2ddc
_cEB
999 _c9420
_d9420