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Data Visualization
A Practical Introduction
Taschenbuch von Kieran Healy
Sprache: Englisch

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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 readerâ¿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 âsmall multipleâ? 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 âtidyverseâ? of data analysis tools makes working with R easier and more consistentIncludes a library of data sets, code, and functions
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 readerâ¿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 âsmall multipleâ? 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 âtidyverseâ? of data analysis tools makes working with R easier and more consistentIncludes a library of data sets, code, and functions
Über den Autor
Kieran Healy
Details
Erscheinungsjahr: 2018
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 296
Inhalt: Kartoniert / Broschiert
ISBN-13: 9780691181622
ISBN-10: 0691181624
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Healy, Kieran
Besonderheit: Unsere Aufsteiger
Hersteller: Princeton University Press
Maße: 254 x 204 x 22 mm
Von/Mit: Kieran Healy
Erscheinungsdatum: 18.12.2018
Gewicht: 0,715 kg
preigu-id: 121053279
Über den Autor
Kieran Healy
Details
Erscheinungsjahr: 2018
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Seiten: 296
Inhalt: Kartoniert / Broschiert
ISBN-13: 9780691181622
ISBN-10: 0691181624
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Healy, Kieran
Besonderheit: Unsere Aufsteiger
Hersteller: Princeton University Press
Maße: 254 x 204 x 22 mm
Von/Mit: Kieran Healy
Erscheinungsdatum: 18.12.2018
Gewicht: 0,715 kg
preigu-id: 121053279
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