“It is common to think of statistical graphics and data visualization as relatively modern developments in statistics. In fact, the graphic representation of quantitative information has deep roots. These roots reach into the histories of the earliest map-making and visual depiction, and later into thematic cartography, statistics and statistical graphics, medicine, and other fields. Along the way, developments in technologies (printing, reproduction) mathematical theory and practice, and empirical observation and recording, enabled the wider use of graphics and new advances in form and content.”

— Michael Friendly

Michael Friendly. " A brief history of data visualization http://www.datavis.ca/papers/hbook.pdf at datavis.ca, March 21, 2006.

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Michael Friendly3

American psychologist 1945

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“The graphic portrayal of quantitative information has deep roots. These roots reach into histories of thematic cartography, statistical graphics, and data visualization, which are intertwined with each other. They also connect with the rise of statistical thinking up through the 19th century, and developments in technology into the 20th century. From above ground, we can see the current fruit; we must look below to see its pedigree and germination. There certainly have been many new things in the world of visualization; but unless you know its history, everything might seem novel.”

Michael Friendly (1945) American psychologist

Michael Friendly. " Milestones in the history of thematic cartography, statistical graphics, and data visualization http://www.math.yorku.ca/SCS/Gallery/milestone/milestone.pdf, at math.yorku.ca, 2008.

“To analyse graphic representation precisely, it is helpful to distinguish it from musical, verbal and mathematical notations, all of which are perceived in a linear or temporal sequence. The graphic image also differs from figurative representation essentially polysemic, and from the animated image, governed by the laws of cinematographic time. Within the boundaries of graphics fall the fields of networks, diagrams and maps. The domain of graphic imagery ranges from the depiction of atomic structures to the representation of galaxies and extends into the spheres of topography and cartography.”

Jacques Bertin (1918–2010) French geographer and cartographer

Source: Semiology of graphics (1967/83), p. 2

“Data is transformed into graphics to understand. A map, a diagram are documents to be interrogated. But understanding means integrating all of the data. In order to do this it’s necessary to reduce it to a small number of elementary data. This is the objective of the “data treatment” be it graphic or mathematic.”

Jacques Bertin (1918–2010) French geographer and cartographer

About the true value of graphics
Interview with Jacques Bertin (2003)

“And now, at the end of the twentieth century, with the pressure of modern information and the advances of data processing, graphics is passing through a new and fundamental stage. The great difference between the graphic representation of yesterday, which was poorly dissociated from the figurative image, and the graphics of tomorrow, is the disappearance of the congential fixity of the image.
When one can superimpose, juxtapose, transpose, and permute graphic images in ways that lead to groupings and classings, the graphic image passes from the dead image, the 'illustration,' to the living image, the widely accessible research instrument it is now becoming. The graphic is no longer only the 'representation' of a final simplification, it is a point of departure for the discovery of these simplifications and the means for their justification. The graphic has become, by its manageability, an instrument for information processing.”

Jacques Bertin (1918–2010) French geographer and cartographer

Source: Semiology of graphics (1967/83), p. 4

“Statistics began as the systematic study of quantitative facts about the state.”

Ian Hacking (1936) Canadian philosopher

Source: The Emergence Of Probability, 1975, Chapter 12, Political Arithmetic, p. 102.

“Graphic representation constitutes one of the basic sign-systems conceived by the human mind for the purposes of storing, understanding, and communicating essential information. As a "language" for the eye, graphics benefits from the ubiquitous properties of visual perception. As a monosemic system, it forms the rational part of the world of images.”

Jacques Bertin (1918–2010) French geographer and cartographer

Source: Semiology of graphics (1967/83), p. 2

“Two important features in the modern development of economics are the application of mathematics to abstract economic reasoning… and the attempt at placing economics on a numerical and experimental basis by an intensive study of economic statistics.
Both these developments have a common characteristic: they emphasize the quantitative character of economics. This quantitative movement in our estimation is one of the most promising developments in modern economics. We also consider it important that the two aspects of the quantitative method referred to should be furthered, developed, and studied jointly as two integrating parts of economics.
We therefore venture to propose the establishment of an international periodical devoted to the advancement of the quantitative study of economic phenomena, and especially to the development of a closer relation between pure economics and economic statistics.
We believe that the scope of the new journal would be happily suggested if it is called "Oekonometrika."”

Ragnar Frisch (1895–1973) Norwegian economist

Accordingly, the quantitative study of economic phenomena here considered may be termed econometrics. <br class="br">Frisch (1927) as quoted in Divisia 1953, pp.24-25; Cited in: Bjerkholt, Olav. " Ragnar Frisch and the foundation of the Econometric Society and Econometrica http://www.ssb.no/a/histstat/doc/doc_199509.pdf." ECONOMETRIC SOCIETY MONOGRAPHS 31 (1998): 26-57. <br class="br">Lead paragraph of a memorandum on the importance of establishing the journal "Oekonometrika" <br class="br">1920

“As the natural sciences have developed to encompass increasingly complex systems, scientific rationality has become ever more statistical, or probabilistic. The deterministic classical mechanics of the enlightenment was revolutionized by the near-equilibrium statistical mechanics of late 19th century atomists, by quantum mechanics in the early 20th century, and by the far-from-equilibrium complexity theorists of the later 20th century. Mathematical neo-Darwinism, information theory, and quantitative social sciences compounded the trend. Forces, objects, and natural types were progressively dissolved into statistical distributions: heterogeneous clouds, entropy deviations, wave functions, gene frequencies, noise-signal ratios and redundancies, dissipative structures, and complex systems at the edge of chaos.”

Nick Land (1962) British philosopher

"Statistical Mentality" https://web.archive.org/web/20110718052233/http://www.thatsmags.com/shanghai/index.php/article/detail/522/statistical-mentality (2011)

“Statistics are the triumph of the quantitative method, and the quantitative method is the victory of sterility and death.”

Hilaire Belloc (1870–1953) writer

"On Statistics"
The Silence of the Sea (1940)

“The need for a fundamentally different approach to the study of physical processes at the molecular level motivated the development of relevant statistical methods, which turned out to be applicable not only to the study of molecular processes (statistical mechanics), but to a host of other areas such as the actuarial profession, design of large telephone exchanges, and the like. In statistical methods, specific manifestations of microscopic entities (molecules, individual telephone sites, etc.) are replaced with their statistical averages, which are connected with appropriate macroscopic variables. The role played in Newtonian mechanics by the calculus, which involves no uncertainty, is replaced in statistical mechanics by probability theory, a theory whose very purpose is to capture uncertainty of a certain type.”

George Klir (1932–2016) American computer scientist

Source: Fuzzy sets and fuzzy logic (1995), p. 1-2.

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Michael Friendly3

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