Better Data Visualizations

Better Data Visualizations, published in early 2021 and featuring a great diversity of visualizations (over 500 examples), it's one of the best books on data visualization because reads like a fun and instructional encyclopedia of graphs.


This book explains how to produce more effective data visualizations using key methods. There are three portions to the book. It starts with a quick rundown of the best practices for data visualization. The core of the book is in Part 2: chart kinds. Schwabish delves into a variety of graphs that go well beyond the traditional lines and bars. In several instances, he provides an intelligent assessment of why and when each works - and when it doesn't. The last section delves into design and offers advice on how to create and use a data visualization style guide.


Jonathan Schwabish takes readers through the processes of making better graphs, including how to go beyond the basic line, bar, and pie charts. He illustrates the dos and don'ts of data visualization, the foundations of visual perception, and how to make subjective style judgments surrounding a chart's design through over 500 examples. From histograms to horizon charts, ridgeline plots to choropleth maps, Schwabish examines more than eighty visualization patterns and explains how they fit within the visual toolkit. Although it may appear difficult, anybody can learn to produce engaging and effective data visualizations. This book will help you establish your audience and goals, select the appropriate graph for your data, and explain your message properly.


"This is a really useful tutorial on using data visualization to communicate more effectively. This book will be an important and easy read for everyone who wants to transform data into knowledge, from basic concepts to a comprehensive taxonomy of visualization kinds to building a style guide." -- Mara Averick, RStudio.


Author: Jonathan Schwabish

Language: English

Link buy: https://www.amazon.com/Better-Data-Visualizations-Scholars-Researchers/dp/0231193114

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