The Visual Display of Quantitative Information¶
Tufte, E. R. (1983). The Visual Display of Quantitative Information. Graphics Press.
Cited by¶
10 citations across 10 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Contrast
- Tufte's (1983) "data-ink ratio" principle recommends maximizing contrast between data-relevant marks and the visual field background, eliminating gratuitous decoration that competes for perceptual bandwidth.
This sourceCodifies the data-ink ratio — maximize the ink devoted to data-relevant marks and minimize non-data ink — supporting the claim that high contrast on task-relevant dimensions and low contrast elsewhere is a core design discipline.
- Tufte's (1983) "data-ink ratio" principle recommends maximizing contrast between data-relevant marks and the visual field background, eliminating gratuitous decoration that competes for perceptual bandwidth.
- Gestalt Principles
- The cross-domain transfer of gestalt principles into design — particularly into data visualization — was made operational by Tufte (1983) in The Visual Display of Quantitative Information, where principles of small multiples, proximity-based clustering, and similarity-encoded categories drive his data-ink and chartjunk analyses.
This sourceCodifies the data-ink ratio, chartjunk, and small multiples — proximity-based clustering and similarity-encoded categories driving the analyses.
Supported in partVerified against the work's full text
The source description confirms small multiples and the data-ink ratio, but says nothing of gestalt principles, proximity clustering, or similarity encoding.
“Design of the high-resolution displays, small multiples. Editing and improving graphics. The data-ink ratio.”
- The cross-domain transfer of gestalt principles into design — particularly into data visualization — was made operational by Tufte (1983) in The Visual Display of Quantitative Information, where principles of small multiples, proximity-based clustering, and similarity-encoded categories drive his data-ink and chartjunk analyses.
- Minimalism
- The clarity produced by the absence of distraction, surplus, or decorative excess
This sourceCodifies the data-ink ratio and related principles for maximizing the contrast between data-relevant marks and background, establishing high contrast on task-relevant dimensions and low contrast elsewhere as a core design discipline.
- The clarity produced by the absence of distraction, surplus, or decorative excess
Domain-specific¶
Mechanisms¶
- Background Load Sweep
- Tufte's data-ink ratio and his coinage chartjunk name exactly the target — non-informative marks that compete with the signal.
This sourceIntroduces the data-ink ratio and chartjunk as ways to distinguish informative marks from distracting non-data ink.
- Tufte's data-ink ratio and his coinage chartjunk name exactly the target — non-informative marks that compete with the signal.
- Data-Quality Texture Overlay
- Pushed too dense, or asked to carry three quality dimensions at once, it becomes exactly the chartjunk
This sourceClassifies dense cross-hatching and moiré patterns as chartjunk that introduces eye-straining ambiguity instead of clarifying the data.
- Pushed too dense, or asked to carry three quality dimensions at once, it becomes exactly the chartjunk
- Literal Data Mark Encoding
- Its strength is that it holds attention on the measured value — maximizing the data-ink ratio
This sourceTufte advocates maximizing data-ink and removing non-data ornament or chartjunk so the marks communicate measured information clearly.
- Its strength is that it holds attention on the measured value — maximizing the data-ink ratio
- Slide Composition
- Its signature failure mode is aesthetic drift into chartjunk — decorative embellishment
This sourceDefines chartjunk as decorative graphical material that distracts from a display's information.
- Its signature failure mode is aesthetic drift into chartjunk — decorative embellishment
- Vast Data Visualization
- Guarding the lie factor — the ratio of the effect shown to the effect in the data
This sourceDefines the lie factor as the size of an effect shown in a graphic divided by the size of the effect in the underlying data, with a value of one indicating proportional representation.
- Guarding the lie factor — the ratio of the effect shown to the effect in the data
Verification¶
Does it exist? Confirmed. This work's ISBN resolves to a registered record, which fixes its identity. That is all it fixes.
Does it back the claim? Read against the text for 1 of 10 citations: 1 supported in part. Each verdict is shown under its citation below, with what in the work backs the sentence.
Support is checked per citation rather than per work — the same source can be cited soundly in one article and wrongly in another. Per-citation recording began recently, so a citation with no recorded check is a gap in the record rather than evidence it went unchecked.
See how references were verified.
Links previously used in the corpus¶
Before the registry existed this work was also linked 2 other ways.
- https://books.google.com/books/about/The_Visual_Display_of_Quantitative_Infor.html?id=MFJfwwEACAAJ ×1
- https://search.worldcat.org/title/9480885 ×1
Registry ID ref:10cbacbfffbf · see in the full table