Description

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

Data Visualization: A Practical Introduction

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£38.00

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Paperback / softback by Kieran Healy

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Short Description:

An accessible primer on how to create effective graphics from dataThis book provides students and researchers a hands-on introduction to... Read more

    Publisher: Princeton University Press
    Publication Date: 18/12/2018
    ISBN13: 9780691181622, 978-0691181622
    ISBN10: 0691181624

    Number of Pages: 296

    Non Fiction , Politics, Philosophy & Society

    Description

    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

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