The History of Data Vizualization

We’ve been doing this for a long long time…

Dr. Greg Chism

U of A College of Information Science

Data Visualizion

Data Visualization

“The simple graph has brought more information to the data analyst’s mind than any other device.” — John Tukey

  • Data visualization is the creation and study of the visual representation of data

  • Many tools for visualizing data - R, Python, Tableau, etc.

  • Many approaches/systems within each tool for making data visualizations – e.g., {ggplot2} is one in R.

Why it matters

Data visualization helps us make sense of large amounts of information quickly.

Field Percentage
Business 19.2%
Health professions and related programs 11.4%
Social sciences and history 8.8%
Psychology 6.2%
Biological and biomedical sciences 5.8%
Engineering 5.2%
Visual and performing arts 5.1%
Education 4.8%
Communication, journalism, and related programs 4.8%
Homeland security, law enforcement, and firefighting 3.3%
Computer and information sciences 3.1%
Parks, recreation, leisure, and fitness studies 2.6%
Multi/interdisciplinary studies 2.5%
English language and literature/letters 2.4%
Liberal arts and sciences, general studies, and humanities 2.3%
Agriculture and natural resources 1.9%
Public administration and social services 1.8%
Physical sciences and science technologies 1.6%
Family and consumer sciences/human sciences 1.3%
Mathematics and statistics 1.2%
Foreign languages, literatures, and linguistics 1.0%
Engineering technologies 0.9%
Philosophy and religious studies 0.6%
Theology and religious vocations 0.5%
Architecture and related services 0.5%
Area, ethnic, cultural, gender, and group studies 0.4%
Communications technologies 0.3%
Transportation and materials moving 0.2%
Legal professions and studies 0.2%
Military technologies and applied sciences 0.0%
Library science 0.0%
Precision production 0.0%
Not classified by field of study 0.0%

When was the first time humans visualized data?

(Very) Early Visualizations

Cave paintings

Lascaux (~40,000 years ago)

  • Astronomical illustrations of constellations

  • This painting could represent a record of a comet strike that visited earth some 15,200 years ago.

  • Humans love stories 🙂

Star Charts

Dunhuang map (Tang dynasty, 618 - 907 CE)

  • First known graphical representations of stars from ancient Chinese astronomy

  • The world’s oldest complete preserved star atlas

Tracking History

Khipu Code (1400 - 1532 CE)

  • Inka history in knots.

  • Knotted string devices communicated complex mathematics and narrative info.

  • Contain tens of thousands of knots tied by different people, for various purposes and in various regions of the empire.

Early Maps

Maps (5000 BCE - 16th Century)

Ancient Maps (5000 BCE - 200 CE)

Babylonian world map (600 BCE)

Ptolemy’s world map (150 CE)

Medieval & Renaissance (1200s-1600s)

Ibn al-Wardi’s atlas of the world
(14th century)

Joan Blaeu’s world map
(c1665)

1665

Modern

Birth of Modern Data Visualization

(17th-19th Century)

Origins of Statistical Graphics (1600s)

Christoph Scheiner (1613)

Used drawings to show sunspots

Origins of Statistical Graphics (1600s)

René Descartes (1637)

Developed the Cartesian coordinate system

Origins of Statistical Graphics (1600s)

John Graunt (1662)


First statistical analysis of mortality (early epidemiology)

First Graphs and Charts (1700s-1800s)

Joseph Priestley (1765)

Created the first timeline charts


Priestley’s timelines proved a commercial success and a popular sensation

First Graphs and Charts (1700s-1800s)


William Playfair (1780s-1800s)


His graphs showed economic data, making information more accessible

19th Century: Famous Infographics

Florence Nightingale (1858)


Rose Diagram showed how poor sanitation killed more soldiers than battle

19th Century: Famous Infographics

Charles Minard (1869)


Napoleon’s March to Moscow → combined geography, temperature, and casualties in one powerful chart

The Rise of Modern Data Visualization

(20th Century - Today)

Statistical Foundations (1800s-1900s)

Karl Pearson (1895)

Gave us histograms, correlation, and statistics in the 1900s

Statistical Foundations (1800s-1900s)

W.E.B. Du Bois (1900 Paris Exposition)

Used data visualizations to showcase the progress of Black Americans post-slavery

Computers and New Techniques

Mary Eleanor Spear (1969)

Taught Graphic Representation of Statistics and created first boxplot.

Computers and New Techniques

John Tukey (1960s)

Created exploratory data analysis (EDA) techniques, typically credited for the boxplot 😤

Computers and New Techniques

Edward Tufte (1980s)

Prioritize high Data-to-Ink Ratios

Advocated for clear, truthful data visualizations

Computers and New Techniques

Edward Tufte (1980s)

Innovated comparison and time-series plots

Computers and New Techniques

IBM and early computing (1960s-80s)

Computers brought on the rise of digital visualizations!

Conclusion & Discussion

Conclusion

Ancient visuals

Playfair’s charts

Florence Nightingale

Modern visuals

Discussion Questions

  1. What makes a data visualization effective?

  2. What are some misleading visualizations you’ve seen?

  3. How do you think data visualization will evolve in the future?

Thank you!!!
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