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Research draft

data visualization

vr.tr.data-visualization · XCT.QLT

Let an agent explain data visualisation, relay chart types, principles, history, tools and accessibility from statistics and design sources, describe the named forms, relay how to spot misleading charts, and distinguish data visualisation from infographics as editorial design, dashboards, statistical analysis and art.

Thing Registry Cross-cutting context

Research draft, second pass

A second pass drafted this model: the structure a model of this thing needs, and what is known about it in the world. The line under this one says how the second half was obtained - researched against sources, or recalled without web access, in which case nothing here was read anywhere and every claim is a lead to verify. Unreviewed either way.

written by Claude from model knowledge without web access - no source was read, every claim is a lead to verify

Researched by: Claude

Purpose and description

Let an agent explain data visualisation, relay chart types, principles, history, tools and accessibility from statistics and design sources, describe the named forms, relay how to spot misleading charts, and distinguish data visualisation from infographics as editorial design, dashboards, statistical analysis and art.

The practice of representing data graphically to support exploration, analysis and communication, using charts, maps, diagrams and interactive displays, with forms the registry aliases name including interactive data visualisation, scientific visualisation of simulations and measurements, cinematic scientific visualisation for public audiences, immersive analytics in virtual and augmented reality, mosaic plots for categorical data and proportional symbol maps; influential figures include William Playfair, Florence Nightingale, Jacques Bertin and Edward Tufte, and principles such as appropriate encoding, honest axes and accessible colour help avoid misleading graphics. Visualisations can mislead through truncated axes or cherry-picked data, so evaluation matters.

What it is for: Understanding and communicating data.

It can be explain chart types and principles; relay history; describe named forms; relay accessibility and misleading chart checks.

Distinguishing features

Visual encoding

Exploration and communication

Design principles

Risk of misleading

What it looks like

Charts, graphs, maps and interactive displays.

Physical character

Playfair s bar and line charts: 1786 year - The Commercial and Political Atlas

Nightingale rose diagram: 1858 year

Bertin Semiologie graphique: 1967 year

How it is recognised

Graphical representation of data

Immersive analytics, interactive data visualisation, scientific visualisation, cinematic scientific visualisation, mosaic plot, proportional symbol map

Infographics combine text and images editorially; dashboards monitor metrics; statistical analysis computes results; data art prioritises aesthetics

Related models

is a kind of - in registry terms

visualization

includes -

mosaic plot

includes -

proportional symbol map

is contrasted with -

infographic

In practice

Families and kinds

statistical charts

thematic maps

network and hierarchical diagrams

scientific visualisation

interactive and immersive visualisation

Standards and regulation

WCAG accessibility guidance for non-text content

Official statistics presentation guidelines

Failure modes and hazards

Misleading axes and scales

Inaccessible colour choices

Overplotting and clutter

Also called

immersive analyticsInteractive data visualizationscientific visualizationCinematic scientific visualizationmosaic plotproportional symbol mapChernoff faceElectropherogramVisualization of RNA sequencing datamap visualizationslice and dicepaper-and-pencil gamebiological data visualizationedge bundlingneighborhood graph

Where this came from

wikidata · CC0 1.0

Drafted structure

Bundle to layer to finding to question, as the second pass will find it: 4 bundles · 8 layers · 8 findings · 16 questions.

Understand What data visualisation is.

Definition.

Definition

Definition.

Definition

Definition.

  1. What is data visualisation, and how does it differ from infographics, dashboards, statistical analysis and data art? definition
  2. Is the question about making charts, reading them critically, tools or history? boundary

Forms

Named forms.

Forms

Forms.

  1. What are immersive analytics, interactive, scientific and cinematic visualisation, mosaic plots and proportional symbol maps? definition
  2. Which entry fits the specific form? action
Principles Principles.

Sources.

Encoding

Visual encoding.

Encoding

Encoding.

  1. How do position, length, colour and area encode data, and which are perceived most accurately? provenance
  2. Which references are standard? provenance

Misleading charts

Misleading charts.

Misleading charts

Misleading charts.

  1. How can truncated axes and cherry-picking mislead, and how can readers check? provenance
  2. Which sources are cited? provenance
History History.

Sources.

Playfair

Early charts.

Playfair

Playfair.

  1. How did Playfair and Nightingale pioneer statistical graphics? provenance
  2. Which entry fits William Playfair? action

Tufte

Modern theory.

Tufte

Tufte.

  1. What did Bertin and Tufte contribute, and what critiques exist of chartjunk ideas, with views attributed? provenance
  2. Is the presentation neutral and attributed? boundary
Context Access and tools.

Regulation.

Accessibility

Accessible charts.

Accessibility

Accessibility.

  1. How can charts be made accessible for colour-blind and screen reader users? provenance
  2. Which entry fits colour blindness? action

Tools

Tools.

Tools

Tools.

  1. Which tools and libraries are commonly used, checked against current sources? provenance
  2. Is the information current? boundary

What the second pass must settle

  • Should immersive analytics be a separate entry?
  • How should design guidelines be linked?
  • Should cinematic scientific visualisation be linked separately?