Description
Book 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.
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Details
Enhance your data visualization skills with "Data Visualization: A Practical Introduction". This comprehensive book is designed to provide students and researchers with a hands-on introduction to the principles and practice of data visualization. With powerful and reproducible methods, you'll learn how to create high-quality graphics that effectively communicate your findings.
Whether you're a novice or an experienced data analyst, this book will take you on a journey to master ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, you'll learn how to create stunning visuals from data, starting with simple plots and gradually progressing to more complex graphics.
From plotting continuous and categorical variables to layering information on graphics, this book covers it all. You'll also discover how to produce effective "small multiple" plots, group, summarize, and transform data for plotting, create maps, work with the output of statistical models, and refine plots to make them more comprehensible.
Effective graphics are essential for communicating ideas and truly understanding data. Don't miss out on the opportunity to enhance your skills. Grab your copy of "Data Visualization: A Practical Introduction" today and revolutionize the way you visualize quantitative data. Visit our website for more information and to place your order.
Click here to explore the world of data visualization and uncover the true potential of your research findings.
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