Synopsis
An accessible primer on how to create effective graphics from data
This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data Visualization builds the reader's expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective "small multiple" plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible. Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings.- Provides hands-on instruction using R and ggplot2
- Shows how the "tidyverse" of data analysis tools makes working with R easier and more consistent
- Includes a library of data sets, code, and functions
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
Kieran Healy is associate professor of sociology at Duke University. He is the author of Last Best Gifts: Altruism and the Market for Human Blood and Organs.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Data Visualization: A Practical Introduction
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Princeton University Press, 2018
ISBN 10 : 0691181616
ISBN 13 : 9780691181615
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Data Visualization: A Practical Introduction
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ISBN 10 : 0691181616
ISBN 13 : 9780691181615
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Data Visualization: A Practical Introduction
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Princeton University Press, 2018
ISBN 10 : 0691181616
ISBN 13 : 9780691181615
Ancien ou d'occasion
Couverture rigide
Vendeur : Books From California, Simi Valley, CA, Etats-Unis
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Data Visualization: A Practical Introduction
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Princeton University Press, 2018
ISBN 10 : 0691181616
ISBN 13 : 9780691181615
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Data Visualization: A Practical Introduction
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ISBN 13 : 9780691181615
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Data Visualization
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ISBN 10 : 0691181616
ISBN 13 : 9780691181615
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Hardback. Etat : New. An accessible primer on how to create effective graphics from dataThis book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way.Data Visualization builds the reader's expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective "small multiple" plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible.Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings.Provides hands-on instruction using R and ggplot2Shows how the "tidyverse" of data analysis tools makes working with R easier and more consistentIncludes a library of data sets, code, and functions. N° de réf. du vendeur LU-9780691181615
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Data Visualization A Practical Introduction
Edité par
Princeton Univ Pr, 2018
ISBN 10 : 0691181616
ISBN 13 : 9780691181615
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Data Visualization
Edité par
Princeton University Press, US, 2018
ISBN 10 : 0691181616
ISBN 13 : 9780691181615
Neuf
Couverture rigide
Vendeur : Rarewaves USA United, OSWEGO, IL, Etats-Unis
Évaluation du vendeur 5 sur 5 étoiles
Hardback. Etat : New. An accessible primer on how to create effective graphics from dataThis book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way.Data Visualization builds the reader's expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective "small multiple" plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible.Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings.Provides hands-on instruction using R and ggplot2Shows how the "tidyverse" of data analysis tools makes working with R easier and more consistentIncludes a library of data sets, code, and functions. N° de réf. du vendeur LU-9780691181615
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