Please excuse my naive question, but what kind of rôle does the visualization of (especially high-dimensional) data play in mathematical research?

I know, that it plays an important rôle in the analysis and interpretation of data and utilizes advanced mathematics, but, apart from being a servant to mathematical research, are there also examples, where mathematical research is solely dedicated to data-visualisation or, where data-visualisation brought up questions, that initiated important mathematical research?

A prominent example of mathematical research that has been initiated by data visualisation is Guthries observation, that apparently four colors suffice to color every map; hat observation had very fruitful consequences for mathematics.


  • what are further examples of problems that originated in data-visualization and became the subject of mathematical research?

  • are there examples of mathematical research, that is dedicated to improving the visualization of data, i.e. to make features of interest, that are "burried" in the data, more "prominent"?

closed as too broad by YCor, j.c., Andy Putman, Ben McKay, RP_ Jan 14 at 9:44

Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. Avoid asking multiple distinct questions at once. See the How to Ask page for help clarifying this question. If this question can be reworded to fit the rules in the help center, please edit the question.

  • If somebody has an idea to add one or several broader tag it would be useful (being confused by the claim that the 4-color conjecture was based on "data visualization", I have little idea of the scope of the question) – YCor Jan 13 at 17:09
  • The 4 color conjecture came from the task to make countries with common border visually distinguishable; the naive solution would be to assign a different color to each country. If also economical considerations come into play, then one might strive for using as few colors as possible and a natural question is then for the minimal number of colors necessary. As it turned out, that question could not be answered with then existing mathematical theorems and dedicated research was necessary. – Manfred Weis Jan 13 at 18:33
  • 2
    I understand that it comes from visualization. I'm rather puzzled by the use of the word "data". Data means something already encoded in some way. If you're asking whether visualization plays a role mathematical research the answer is obviously yes and if you're asking how, this sounds way too broad. – YCor Jan 13 at 18:58
  • @YCor: I concur with your last comment. I also struggled with the scope of the question, but could not resist the temptation to post a constructive response, however imperfect. – Victor Protsak Jan 13 at 19:27
  • @YCor: let me explain, why I consider drawing a political map as visualizing data: a political territory is defined via its boundaries, that are documented in field survey, which yields the original data, that can be interpreted and visualized in various way, depending what kind of information one is interested in. Even if coloring a map doesn't resemble mining or filtering of data, it is still the problem of emphasizing that adjacent territories are e.g. controlled by different political authorities. – Manfred Weis Jan 13 at 20:34

This is a rather open-ended question, so let me respond by offering some observations in the same spirit, focusing primarily on posets, graphs and simplicial complexes.

In a very general way, graphs and digraphs are used throughout mathematics to represent relations and other structures with metric, topological and enumerative-combinatorial properties, such as the diameter, connectedness and the number of subgraphs with prescribed properties reflecting some of the deeper or less obvious features of the represented structure. (These relations may originate from a mathematical model or be innate to a mathematical theory.) Advanced examples along these lines are provided by the order complexes of posets and Stanley-Reisner complexes of square-free ideals, where the complex both visualizes the underlying structure and brings forth its important features. In a different direction, diagrams in category theory and quivers in algebra, including advanced constructions such as the Auslander-Reiten quiver, are types of visualizations.

Here is a specific illustration already firmly within mathematical setting. The notion of Hasse diagram of a partially ordered set provides an important visualization of this structure that has been used to study its properties. For example, it is easy to see that the diamond lattice $M_3$ and the pentagon lattice $N_5$ are not distributive. In fact, a lattice is distributive if and only if it does not contain a sublattice isomorphic to $M_3$ or $N_5$. On a more rudimentary level, the fundamental concepts such as maximal and minimal elements, chains and maximal chains of a poset can be thought of as visualizations. Some research directions in group and module theory deal with the structure of groups/modules based on their properties of their subgroup/submodule lattice and one can argue that, for example, uniserial modules (where all submodules form a single chain) first became objects of interest because of this visualization aspect. Later, the success of this theory motivated investigating more complicated cases.

Finally, going beyond combinatorial and algebgraic structures, configuration spaces and moduli spaces of all kinds fit into a visualization paradigm: they "visualize" the totality of objects or "states of a system" and can be used to study generic or typical properties, statistics and often dynamics (when the configuration or moduli space arises from geometry).

  • 1
    I did not touch upon topological data analysis, which is a thing in itself and provides perhaps the most direct instance of visualization of data. – Victor Protsak Jan 13 at 19:18

Not the answer you're looking for? Browse other questions tagged or ask your own question.