Data visualization for social and policy research:

By:

Reyes, Jose Manuel Magallanes

Material type: Text

TextPublication details: New Delhi: Cambridge University Press, 2022Description: 285pISBN:

9781108714389

Subject(s):

DDC classification:

300.72 REY

Summary: 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.

Item type:

Book

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Book	IIM Kashipur	300.72 REY (Browse shelf(Opens below))	Available		11094

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Previous	300.72 LEW Using software in quality research: a step by step guide/	300.72 MAY Social research: issues, methods and process/	300.72 MAY Beginning qualitative research: a philosophic and practical guide/	300.72 REY Data visualization for social and policy research: a step-by-step approach using R and Python/	300.72 SAG Sage handbook of mixed methods in social and behavioral research/	300.72 SAG Sage handbook of action research: participative inquiry and practice/	300.72 SAL Coding manual for qualitative researchers/	Next

Includes bibliographical references and index.

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.

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