Badr Abardazzou

The Museum

Where making data legible was invented.

The plates that built information design: the first data graphic, the first bar chart, the first pie, the first contour map, the first choropleth, the diagrams that turned numbers into arguments. 19 works, walking from the first data graphic in 1644 to 1900, each one next to the idea it gave us. Every piece is in the public domain.

The 1600s: the first data graphics

La Verdadera Longitud por Mar y Tierra, Michael Florent van Langren, 1644
1644 Earliest known statistical graph

La Verdadera Longitud por Mar y Tierra

Michael Florent van Langren

Twelve competing estimates of the longitude distance between Toledo and Rome, each plotted as a point along a single line.

Why it mattersOne axis, honest spread. Van Langren could have tabulated the numbers; instead he placed them on a line so the sheer disagreement between authorities became the argument. Position on a scale, nothing more.

Public domain, via Wikimedia Commons · source

The 1700s: the chart is invented

A Chart of Biography, Joseph Priestley, 1765
1765 First large-scale timeline

A Chart of Biography

Joseph Priestley

About two thousand notable lives from 1200 BC to 1750, each drawn as a horizontal bar spanning birth to death along a common time axis.

Why it mattersA shared scale makes thousands of things comparable at a glance. Length encodes a lifespan; a dot marks uncertainty about a date. The direct ancestor of every Gantt chart and timeline.

Public domain, via Wikimedia Commons · source

A New Chart of History, Joseph Priestley, 1769
1769

A New Chart of History

Joseph Priestley

Three thousand years of empires and states drawn as coloured bands across a single time axis, so the rise, fall, and overlap of civilisations can be read left to right. Dedicated to Benjamin Franklin.

Why it mattersTurn history into a picture of duration. The band shows not just when a power existed but how long and how far it spread, all on one shared scale.

Public domain, via Wikimedia Commons · source

Exports and Imports of Scotland, William Playfair, 1786
1786 First bar chart

Exports and Imports of Scotland

William Playfair

Scotland's trade with seventeen partners for a single year, from The Commercial and Political Atlas. Playfair had no time-series data for Scotland, so he invented the bar.

Why it mattersLength as quantity, bars for comparing categories. Born from a data limitation, it became the most-used chart on earth. The Atlas in the same year also launched the time-series line and area chart.

Public domain, via Wikimedia Commons · source

Exports and Imports to and from Denmark and Norway, William Playfair, 1786
1786 First time-series line chart

Exports and Imports to and from Denmark and Norway

William Playfair

Britain's imports from and exports to Denmark and Norway across the eighteenth century, drawn as two lines with the space between them shaded to show the balance of trade at a glance. From The Commercial and Political Atlas.

Why it mattersTime on the horizontal, quantity on the vertical, and the gap between two curves made to carry a third idea. Playfair invented the statistical line graph here, and that shaded difference is the ancestor of every area chart.

Public domain, via Wikimedia Commons · source

1800 to 1850: data becomes a picture

The Statistical Breviary, William Playfair, 1801
1801 First pie chart

The Statistical Breviary

William Playfair

The areas, populations, and revenues of European nations, with the first known pie chart used to break a whole into proportional slices.

Why it mattersAngle and area as a share of a whole. Playfair reached for the circle when he needed part-to-whole rather than comparison, the same judgment OVP asks a chart-maker to make deliberately.

Public domain, via Wikimedia Commons · source

Naturgemälde (Tableau physique des Andes), Alexander von Humboldt, 1807
1807

Naturgemälde (Tableau physique des Andes)

Alexander von Humboldt

A cross-section of Chimborazo from the Essay on the Geography of Plants: where each species grows by altitude, flanked by columns of temperature, pressure, and humidity.

Why it mattersEncode data onto the real physical frame it belongs to, then stack context beside it. An early argument that many variables can share one legible picture.

Zentralbibliothek Zürich, public domain via Wikimedia Commons · source

The Price of Wheat and the Wages of Labour, William Playfair, 1821
1821

The Price of Wheat and the Wages of Labour

William Playfair

Three centuries at one glance: the price of a quarter of wheat as bars, a weekly labourer's wages as a line, and the reigns of English monarchs along the top, so wages can be weighed against the cost of bread across history.

Why it mattersLayer several series on one shared time axis so the eye can compare them directly. Playfair's argument, that labour had rarely bought so little wheat, is built into the shape rather than the text.

Public domain, via Wikimedia Commons · source

Carte figurative de l'instruction populaire, Charles Dupin, 1826
1826 First choropleth map

Carte figurative de l'instruction populaire

Charles Dupin

The départements of France shaded from black to white by how many children were in school, dark for the least educated south, light for the north.

Why it mattersShade a region by its statistic. The choropleth is now the default map of any rate or density, from election results to case counts, and it starts here.

Bibliothèque nationale de France, public domain · source

Essai sur la statistique morale de la France, André-Michel Guerry, 1833
1833 Birth of social data mapping

Essai sur la statistique morale de la France

André-Michel Guerry

One of a set of shaded maps of France comparing crime, suicide, literacy, and more, region by region, built from the first national criminal statistics.

Why it mattersPut social data on the map to hunt for its causes. Guerry founded moral statistics, the ancestor of modern social science, by letting maps ask why.

David Rumsey Map Collection, public domain via Wikimedia Commons · source

The Temple of Time, Emma Willard, 1846
1846

The Temple of Time

Emma Willard

World history drawn as a temple in perspective: the floor is a timeline of centuries, the columns are the great nations rising toward the present, the ceiling a sky of famous names.

Why it mattersA spatial metaphor built for memory. Willard designed chronology as architecture so a student could walk through time and remember where things sat.

Public domain, via Wikimedia Commons · source

The First Six Books of the Elements of Euclid, Oliver Byrne, 1847
1847 Colour as a functional variable

The First Six Books of the Elements of Euclid

Oliver Byrne

Euclid's geometry reworked so the proofs use coloured shapes instead of letters, letting the eye follow an argument that used to require cross-referencing symbols.

Why it mattersReplace symbolic reference with direct visual encoding. Byrne's bold primary blocks, decades before Mondrian, use colour as information rather than decoration.

Public domain, via Wikimedia Commons · source

1850 to 1900: the golden age

Cholera map of Broad Street, John Snow, 1854
1854

Cholera map of Broad Street

John Snow

Every cholera death in Soho drawn as a stacked mark at its address. The cluster around the Broad Street water pump made the source of the outbreak impossible to miss.

Why it mattersPut the data back in its real geography and the cause reveals itself. The founding example of using a visual to find an answer, not just to report one.

Public domain, via Wikimedia Commons · source

The Emigrants of the Globe, Charles Joseph Minard, 1858
1858 Global flow map

The Emigrants of the Globe

Charles Joseph Minard

World migration in 1858 drawn as coloured bands sweeping between continents, each band's width proportional to the number of people moving along it.

Why it mattersFlow mapping at world scale: width equals magnitude, so the great currents of people read at a glance. A Sankey diagram wrapped around the planet.

Public domain, via Wikimedia Commons · source

Diagram of the Causes of Mortality in the Army in the East, Florence Nightingale, 1859
1859

Diagram of the Causes of Mortality in the Army in the East

Florence Nightingale

A polar-area 'rose' diagram showing that far more soldiers in the Crimea died of preventable disease (blue) than of wounds (red).

Why it mattersDesign for the reader you must convince. Nightingale built this to move Members of Parliament who would never read a table, and it worked. Persuasion as a design goal.

Public domain, via Wikimedia Commons · source

Napoleon's March on Moscow, Charles Joseph Minard, 1869
1869 Six variables, one image

Napoleon's March on Moscow

Charles Joseph Minard

The 1812 Russian campaign: the width of the band is the size of the army, from 422,000 men down to 10,000, with direction, geography, dates, and a temperature line for the freezing retreat.

Why it mattersLayered encodings that all serve a single narrative. Often called the best statistical graphic ever drawn.

Public domain, via Wikimedia Commons · source

Stereogram of the Swedish population, Luigi Perozzo, 1880
1880 First 3D data surface

Stereogram of the Swedish population

Luigi Perozzo

Sweden's population from 1750 to 1875 built as a three-dimensional coloured surface: age along one axis, year along another, and the number of people as height.

Why it mattersAdd a third dimension to watch a distribution change over time. A bold early answer to a hard question, how do you show a surface of data on paper.

Public domain, via Wikimedia Commons · source

Descriptive Map of London Poverty, Charles Booth, 1889
1889 Street-level social mapping

Descriptive Map of London Poverty

Charles Booth

Central London coloured street by street according to the wealth of its residents, from black for the poorest to gold for the wealthy, built from a vast door-to-door survey.

Why it mattersRender a social survey at the grain of the street. Data-driven cartography aimed squarely at reform, and a direct ancestor of every modern demographic map.

Public domain, via Wikimedia Commons · source

1900: the bridge to the modern

The Georgia Negro: a data portrait, W. E. B. Du Bois, 1900
1900

The Georgia Negro: a data portrait

W. E. B. Du Bois

One of the hand-drawn charts Du Bois and his students made for the 1900 Paris Exposition, documenting the lives of Black Americans in Georgia with a bold, modern visual language decades ahead of its time.

Why it mattersData as an argument for justice. Du Bois bent the forms, spirals, sharp diagonals, flat colour, to make the numbers land with force. Proof that rigor and radical design belong together.

Library of Congress, public domain · source

This wing is historical and public domain for now. A contemporary room, modern charts redrawn in OVP, comes later. Suggestions for pieces the museum should hold are welcome.