The Permanent Collection · Always on view

The Permanent Collection

Seventy-three thousand years of seeing numbers

Seven rooms trace the long human habit of turning quantity into picture — from notches on a baboon fibula to graphics drawn by machines. Walk them in order; the argument builds.

Scroll to walk · 7 rooms · 26 works

Room I · Prehistory–1800s

The Origins of Data Visualization

In this room, the oldest marks we know of. Long before charts had names, people cut tallies into bone and traced grids into ochre — the first attempts to hold a quantity still long enough to look at it.

Line chart from Playfair's Commercial and Political Atlas showing England's trade balance

The Commercial and Political Atlas

William Playfair, 1786

Archival reproduction

Here's a story that will change how you look at every chart you've ever seen.

William Playfair, Public Domain

Also in this room — awaiting installation

Room II · 1800s–1900s

The Pioneers of Modern Graphics

In this room, the nineteenth century learns to argue with pictures. A cholera map closes a pump; a rose diagram reforms an army; a single flowing line carries four hundred thousand men into Russia and brings ten thousand home.

John Snow's 1854 dot map of cholera deaths in Soho, London, clustered around the Broad Street pump

John Snow's Cholera Map

John Snow, 1854

Archival reproduction

In the late summer of 1854, a devastating cholera outbreak tore through London's Soho district, killing hundreds in a matter of days.

John Snow, 1854 — Public Domain

Nightingale's polar area diagram showing causes of mortality in the Crimean War

Florence Nightingale's Rose Diagram

Florence Nightingale, 1858

Archival reproduction

Florence Nightingale is famous as the founder of modern nursing, but she was also a pioneering statistician who understood something crucial: data doesn't change minds unless people can actually see it.

Florence Nightingale, 1858 — Public Domain

Minard's 1869 flow map showing the devastating losses of Napoleon's army during the 1812 Russian campaign

Minard's Map of Napoleon's Russian Campaign

Charles Joseph Minard, 1869

Archival reproduction

In 1869, a retired French civil engineer named Charles Joseph Minard — then 80 years old — sat down and created what many consider the greatest statistical graphic ever drawn.

Charles Joseph Minard, 1869 — Public Domain

Francis Galton's 1875 weather map published in The Times showing pressure and wind patterns across Europe

Galton's Weather Map

Francis Galton, 1875

Archival reproduction

Before Francis Galton came along, there was no such thing as a weather map in a newspaper.

Francis Galton / The Times, 1875 — Public Domain

Hand-drawn data visualization by W.E.B. Du Bois showing Black American economic progress, created for the 1900 Paris Exposition

W.E.B. Du Bois's Data Portraits

W.E.B. Du Bois and students at Atlanta University, 1900

Archival reproduction

In 1900, sociologist W.E.B.

W.E.B. Du Bois / Library of Congress — Public Domain

Room III · 1900s–1960s

The Science of Visualization

In this room, visualization becomes a discipline. Designers and statisticians stop decorating numbers and start asking, with rigour, what the eye can actually read.

Harry Beck's 1933 London Underground map using topological diagram design

Harry Beck's Tube Map

Harry Beck, 1933

Archival reproduction

In 1933, a 29-year-old engineering draftsman named Harry Beck quietly revolutionized how cities see themselves — by throwing geography out the window.

Harry Beck / Transport for London — Public Domain

Isotype pictorial statistics chart showing rows of identical icons representing quantities

Isotype Picture Language

Otto Neurath and Gerd Arntz, 1936

Archival reproduction

Before there were emoji, before there were app icons, before there were international airport pictograms — there was Isotype.

Otto Neurath and Gerd Arntz — Isotype Institute

Diagram of Bertin's seven visual variables: position, size, shape, value, color, orientation, texture

Bertin's Semiology of Graphics

Jacques Bertin, 1967

Study after the original

If there is one book that gave data visualization its theoretical backbone, it is Jacques Bertin's "Sémiologie Graphique," published in Paris in 1967.

Jacques Bertin — Sémiologie Graphique, 1967

Box-and-whisker plot and stem-and-leaf display from Tukey's Exploratory Data Analysis

Tukey's Exploratory Data Analysis

John Tukey, 1977

Study after the original

John Tukey was one of those rare scientists who could reshape an entire field with a single idea — and he did it more than once.

John Tukey — Exploratory Data Analysis, 1977

Room IV · 1970s–2000s

The Digital Turn

In this room, the chart meets the computer. Interaction arrives — rotation, brushing, drill-down — and with it the first formal grammars for describing any graphic at all.

PRIM-9 interactive computer graphics system showing multivariate data projection at SLAC

PRIM-9

Mary Anne Fishkeller, Jerome H. Friedman, and John W. Tukey, 1973

Study after the original

In 1973, a team of three researchers at Stanford Linear Accelerator Center (SLAC) — Mary Anne Fishkeller, Jerome Friedman, and the legendary John Tukey — created PRIM-9, the first-ever interactive computer graphics system designed specifically for exploring multivariate statistical data.

Fishkeller, Friedman, and Tukey / SLAC, 1973

Scatter plot of O-ring damage versus temperature showing clear relationship missed before Challenger launch

Challenger O-Ring Analysis

Edward Tufte (analysis); Morton Thiokol engineers (original data), 1986

Study after the original

On January 28, 1986, the Space Shuttle Challenger broke apart 73 seconds after launch, killing all seven crew members.

Edward Tufte, Visual Explanations, 1997

Shneiderman's treemap visualization showing hierarchical data as nested rectangles

Shneiderman's Treemap and Visual Information-Seeking Mantra

Ben Shneiderman, 1996

Study after the original

Ben Shneiderman, a computer scientist at the University of Maryland, made two contributions to data visualization that are so widely used today that most people encounter them without knowing where they came from.

Ben Shneiderman / University of Maryland, 1990–1996

Diagram showing the layered components of Wilkinson's Grammar of Graphics: data, aesthetics, geometry, statistics, coordinates, facets

The Grammar of Graphics

Leland Wilkinson, 1999

Study after the original

In 1999, statistician Leland Wilkinson published 'The Grammar of Graphics,' a book that did for data visualization what Noam Chomsky's generative grammar did for linguistics — it decomposed the seemingly infinite variety of statistical charts into a finite set of composable, formal components.

Leland Wilkinson — The Grammar of Graphics, 1999

Also in this room — awaiting installation

Room V · 2000s–Present

The Visualization Explosion

In this room, visualization goes public. Browsers, libraries, and newsrooms put charts in front of millions, and a TED stage makes a scatterplot famous.

Interactive data visualization built with D3.js showing data-driven bindings to SVG elements

From Prefuse to D3.js

Jeff Heer and Mike Bostock, 2005–2011

Study after the original

The most important visualization library on the web has a family tree that starts in a Stanford research lab.

Mike Bostock / D3.js — BSD License

Animated bubble chart from Gapminder showing global health and wealth trends over 200 years

Hans Rosling's TED Talk and Gapminder

Hans Rosling, 2006

Study after the original

In February 2006, a 57-year-old Swedish professor of global health named Hans Rosling walked onto the TED stage and delivered what would become one of the most-watched TED talks of all time — 'The best stats you've ever seen.' Armed with animated bubble charts that plotted every country in the world across axes of income and life expectancy, Rosling narrated 200 years of global development in four breathless minutes, his pointer chasing China and India as they leapfrogged across the screen.

Gapminder Foundation / Hans Rosling

The New York Times election needle showing real-time probability of winning during a presidential election

The New York Times Election Needle

Mike Bostock and The New York Times Graphics Team, 2012

Study after the original

On the night of November 6, 2012, millions of Americans refreshed the same webpage over and over, watching a thin needle swing back and forth on The New York Times' election forecast page.

The New York Times

Observable notebook interface showing reactive cells with live data visualization code and output

Observable: Notebook-Based Visualization

Mike Bostock and Jeff Heer, 2017

Study after the original

After D3.js conquered the web visualization world, its creator Mike Bostock turned his attention to a harder problem: making data visualization not just powerful, but accessible and collaborative.

Observable, Inc.

Johns Hopkins COVID-19 dashboard showing global case counts on a dark world map with red circles

The Johns Hopkins COVID-19 Dashboard

Lauren Gardner and Johns Hopkins CSSE, 2020

Study after the original

On January 22, 2020 — weeks before most of the world had heard of COVID-19 — a civil engineering professor named Lauren Gardner and her graduate student Ensheng Dong at Johns Hopkins University's Center for Systems Science and Engineering (CSSE) launched a simple web dashboard tracking a mysterious new respiratory virus emerging from Wuhan, China.

Johns Hopkins University Center for Systems Science and Engineering

Room VI · 1990s–2010s

The Fragment & The Whole

In this room, artists take the tools back. Networks of influence, genomes, the wind itself — drawn not to summarise but to be contemplated.

Animated white particle traces showing real-time wind patterns flowing across a dark map of the United States

Wind Map

Fernanda Viégas & Martin Wattenberg, 2012

Study after the original

In March 2012, visualization researchers Fernanda Viégas and Martin Wattenberg — both then leading Google's 'Big Picture' data visualization group — quietly launched hint.fm/wind, a website that displayed real-time wind patterns across the contiguous United States as thousands of delicate, flowing white particle traces on a dark background.

Fernanda Viégas & Martin Wattenberg / hint.fm

Interactive decision tree showing 512 possible Electoral College outcomes as branching paths of blue and red

512 Paths to the White House

Mike Bostock & Shan Carter / NYT, 2012

Study after the original

On November 2, 2012 — four days before the presidential election between Barack Obama and Mitt Romney — The New York Times published '512 Paths to the White House,' an interactive decision tree created by graphics editors Mike Bostock and Shan Carter.

Mike Bostock & Shan Carter / The New York Times

Also in this room — awaiting installation

Room VII · 2015–Beyond

The Future of Seeing Data

In this final room, the lights go down. Hand-drawn postcards, generative art, and machine-made graphics ask what seeing data will mean next. The collection ends where it began: with a person, making a mark.

Hand-drawn data visualization postcard from the Dear Data project by Giorgia Lupi and Stefanie Posavec

Dear Data

Giorgia Lupi & Stefanie Posavec, 2015

Study after the original

In 2015, two information designers who had never met in person — Giorgia Lupi in New York and Stefanie Posavec in London — embarked on one of the most beautifully human data projects ever conceived.

Giorgia Lupi & Stefanie Posavec — Dear Data

Artistic data visualization from the Data Sketches project showing intricate, colorful D3.js-generated artwork

Data Sketches & Artistic Dataviz

Nadieh Bremer & Shirley Wu, 2016–2017

Study after the original

In 2016, two freelance data visualization designers — Nadieh Bremer in the Netherlands and Shirley Wu in San Francisco — launched Data Sketches, a monthly collaborative project that would help redefine what data visualization could look like.

Nadieh Bremer & Shirley Wu — Data Sketches

User wearing a VR headset interacting with a 3D immersive data visualization environment

Immersive Data Environments

Various (MIT Media Lab, Kineviz, et al.), 2018

Study after the original

By 2018, a critical mass of researchers and startups were exploring a tantalizing question: what happens when you don't just look at data on a screen, but step inside it?

Kineviz / GraphXR

Interactive scrollytelling visual essay from The Pudding showing data-driven cultural analysis

The Pudding's Visual Essays

The Pudding (Matt Daniels, Russell Goldenberg, et al.), 2017–present

Study after the original

In 2017, journalist and developer Matt Daniels relaunched a small digital publication called The Pudding with a radical editorial premise: every story would be told primarily through interactive data visualization, not traditional text articles with charts sprinkled in.

The Pudding

A data visualization generated from a natural language prompt by an AI large language model

AI-Generated Visualization

Various (OpenAI, Anthropic, open-source community), 2023–present

Study after the original

In 2023, the data visualization world crossed a threshold that had seemed decades away: people began generating charts, dashboards, and interactive visualizations by simply describing what they wanted in plain English.

Various — AI-generated visualization ecosystem

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