02732cam a2200373 i 4500 846 MYCC 20260826104128.0 200613s2021 nyuab b 001 0 eng 2020017814 9780231193108 hardback 9780231193115 trade paperback 9780231550154 ebook 21594143 LBSOR/DLC eng rda DLC DLC MYCC pcc QA76.9.I52 S393 2021 001.4/226 23 Schwabish, Jonathan A., author. Better Data Visualizations : A Guide for Scholars, Researchers, and Wonks / Jonathan Schwabish. New York : Columbia University Press, [2021] ©2021 xi, 449 pages : illustrations (chiefly color), maps (chiefly color) ; 24 cm text txt rdacontent unmediated n rdamedia volume nc rdacarrier Includes bibliographical references (pages 413-429) and index. Introduction -- Visual processing and perceptual rankings -- Five guidelines for better data visualization -- Form and function -- Comparing categories -- Time -- Distribution -- Geospatial -- Relationship -- Part-to-whole -- Qualitative -- Tables -- Developing a data visualization style guide -- Redesigns. "Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually. This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts. Through more than five hundred examples, he demonstrates the do's and don'ts of data visualization, the principles of visual perception, and how to make subjective style decisions around a chart's design. Schwabish surveys more than eighty visualization types, from histograms to horizon charts, ridgeline plots to choropleth maps, and explains how each has its place in the visual toolkit. It might seem intimidating, but everyone can learn how to create compelling, effective data visualizations. This book will guide you as you define your audience and goals, choose the graph that best fits for your data, and clearly communicate your message"-- Provided by publisher. Information visualization. Visual analytics. 7 cbc orignew 1 ecip 20 y-gencatlg ddc BK 0 0 ddc 0 0 MYCCLIB MYCCLIB GEN 2026-08-26 0 001.4226 SCH 2021 11375 2026-08-26 10:40:10 2026-08-26 BK 0 0 ddc 0 0 MYCCLIB MYCCLIB REF 2026-08-26 0 001.4226 SCH 2021 REF 11374 2026-08-26 10:40:10 2026-08-26 REF 846 846