Cover of The Visual Display of Quantitative Information

The Visual Display of Quantitative Information

by Edward R. Tufte · first published 1983

150mentions
100recommended by
138HN commenters
2007–2026first – last mentioned

72% recommend22% neutral5% critical

Why HN recommends it

Gives developers and designers the vocabulary and theory for telling good charts from bad: data-ink ratio, clutter, and typography as structure, with historical examples. Suits anyone doing data visualization.

Summarised by Claude from recommending comments

The classic book on statistical graphics, charts, tables. Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Design of the high-resolution displays, small multiples. Editing and improving graphics. The data-ink ratio. Time-series, relational graphics, data maps, multivariate designs. Detection of graphical deception: design variation vs. data variation. Sources of deception. Aesthetics and data graphical displays. This is the second

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Mentions per year

140 2007: 3 mentions2008: 2 mentions2009: 7 mentions2010: 10 mentions2011: 11 mentions2012: 12 mentions2013: 11 mentions2014: 9 mentions2015: 6 mentions2016: 7 mentions2017: 8 mentions2018: 8 mentions2019: 3 mentions2020: 5 mentions2021: 14 mentions2022: 6 mentions2023: 7 mentions2024: 5 mentions2025: 7 mentions2026: 5 mentions200720172026

What Hacker News says

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