It is easily accessible for students at any level and will be an incredible teaching resource for courses on research methods, statistics, and data visualization. The book is broadly relevant, beautifully rendered, and engagingly written.
#Visualize data how to#
“Data Visualization is a brilliant book that not only teaches the reader how to visualize data but also carefully considers why data visualization is essential for good social science. “Healy’s fun and readable book is unusual in covering the ‘why do’ as well as the ‘how to’ of data visualization, demonstrating how dataviz is a key step in all stages of social science-from theory construction to measurement to modeling and interpretation of analyses-and giving readers the tools to integrate visualization into their own work.” - Andrew Gelman, Columbia University A must-read for anyone who works with data.” - Elizabeth Bruch, University of Michigan Data Visualization is brimming with insights into how quantitative analysts can use visualization as a tool for understanding and communication. Healy combines the beauty and insight of Tufte with the concrete helpfulness of Stack Exchange. “Finally! A data visualization guide that is simultaneously practical and elegant.
4.2 Grouped data and the “group” aesthetic.4.1 Colorless green data sleeps furiously.
3.3 Mappings link data to things you see.2.4 Be patient with R, and with yourself.2.1 Work in plain text, using RMarkdown.1.6 Problems of honesty and good judgment.
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