The Most Beautiful Graph: A Ranking of Visual Excellence

Choose the graph you think is the most beautiful!

Author: Gregor Krambs
Updated on Feb 19, 2024 05:23
Welcome to the ultimate face-off of the most visually stunning and captivating graphs on StrawPoll! As connoisseurs of charts, we've scoured the world of data visualization to curate a dazzling collection of the most beautiful graphs ever created. Now, it's your turn to vote for the graph that leaves you awestruck and breathless. Is it the mesmerizing swirl of a vortex chart or the hypnotic dance of a chord diagram? Perhaps it's the intricate beauty of a scatterplot matrix or the soothing harmony of a streamgraph? Don't see your favorite masterpiece listed? Don't worry! You can suggest a missing option, and together we'll create the definitive ranking of the most beautiful graphs in existence. So, dive into the world of breathtaking data art and let your vote make a mark on the canvas of data visualization history!

What Is the Most Beautiful Graph?

  1. 1

    The Mandelbrot Set

    Benoît Mandelbrot
    This graph is a beautiful representation of the complex numbers and chaos theory. Its intricate details and self-similarity make it a stunning example of mathematical art.
    The Mandelbrot Set is a famous mathematical set that exhibits intricate and beautiful fractal patterns. It is named after the French-American mathematician Benoît Mandelbrot, who discovered and popularized it in the late 1970s.
    • Type: Mathematical set
    • Fractal Dimension: 2
    • Equation: z = z^2 + c
    • Visualization: 2D plot of complex numbers showing escape-time fractals
    • Escape Criteria: If the magnitude of z becomes greater than 2
    The Mandelbrot Set in other rankings
  2. 2

    The Lorenz Attractor

    Edward Lorenz
    This graph represents the behavior of a dynamic system known as the Lorenz system, which describes the movements of a fluid in a simplified way. Its elegant curves and chaotic nature make it a mesmerizing visual representation of chaos theory.
    The Lorenz Attractor is a three-dimensional mathematical model that depicts the behavior of a simplified chaotic system. It is named after Edward Lorenz, an American mathematician, meteorologist, and pioneer of chaos theory.
    • Equations: ẋ = σ(y − x), ẏ = x(ρ − z) − y, ż = xy − βz
    • Dimension: 3D
    • Type: Chaotic system
    • Behavior: Sensitive dependence on initial conditions, complex trajectories
    • Parameters: σ, ρ, and β as control variables
  3. 3

    The Fibonacci Spiral

    Leonardo Fibonacci
    This graph is a beautiful representation of the Fibonacci sequence, a mathematical sequence found in nature and art. The spiral is a visually pleasing and harmonious representation of this sequence, making it a favorite among mathematicians and artists alike.
    The Fibonacci Spiral is a logarithmic spiral that is created using Fibonacci numbers. It is a self-replicating pattern found in nature and is often considered one of the most beautiful mathematical patterns.
    • Shape: Logarithmic spiral
    • Construction: Based on Fibonacci numbers
    • Growth factor: Phi (Golden Ratio) = 1.618
    • Starting point: Two squares with sides of length 1, adjacent to each other
    • How it is formed: By adding the lengths of the two previous squares to form the side length of the next square
  4. 4
    The Sierpinski Triangle
    Medvedev · Public domain

    The Sierpinski Triangle

    Waclaw Sierpinski
    This graph is a fractal pattern that can be generated by a simple recursive algorithm. Its geometric beauty and self-similarity make it a popular example of fractal art.
    The Sierpinski Triangle is a fractal pattern formed by dividing an equilateral triangle into smaller equilateral triangles recursively. Each iteration removes the central triangle of the previous iteration, resulting in a self-similar pattern. The Sierpinski Triangle is named after the Polish mathematician Waclaw Sierpinski who studied it in 1915.
    • Type: Fractal pattern
    • Geometric Shape: Equilateral triangle
    • Dimensions: 2D
    • Self-similarity: Each smaller iteration resembles the original
    • Recursive structure: Divides triangles into smaller triangles
  5. 5
    This graph is a logarithmic spiral that appears in many natural and man-made objects. Its harmonious proportions and aesthetic appeal make it a popular choice in design and art.
    The Golden Spiral is a logarithmic spiral that grows outward by a factor of the golden ratio for every quarter turn it makes. It is derived from the Fibonacci sequence, where each number is the sum of the two preceding ones, and closely related to the Golden Ratio, approximately 1.6180339887. The spiral is considered one of the most aesthetically pleasing geometric forms due to its balanced and harmonious proportions.
    • Shape: Logarithmic Spiral
    • Growth Factor: Golden Ratio (approximately 1.6180339887)
    • Relationship: Derived from the Fibonacci sequence
    • Proportions: Balanced and harmonious
    • Appearance: Similar to a spiral found in seashells, hurricanes, galaxies, and natural forms
  6. 6
    This graph is a mathematical equation that produces a heart-shaped curve. Its romantic and playful nature make it a popular choice for Valentine's Day cards and decorations.
    The Heart Curve is a mathematical graph that takes the shape of a heart. It is also known as the cardioid curve or the shape of a Valentine's heart. This curve is created by plotting the points on a coordinate plane using a specific mathematical equation.
    • Shape: Heart
    • Equation: r = 1 - sin(theta)
    • Type: Parametric curve
    • Symmetry: Symmetric about the y-axis
    • Bounds: 0 <= theta <= 2pi
  7. 7

    The Koch Snowflake

    Helge von Koch
    This graph is a fractal pattern that can be generated by a simple iterative process. Its intricate details and geometric beauty make it a popular example of fractal art.
    The Koch Snowflake is a fractal curve that can be considered as an elaboration of the line segment. It is one of the earliest known examples of a fractal, discovered in 1904 by the Swedish mathematician Helge von Koch.
    • Type: Fractal curve
    • Geometry: Self-replicating
    • Shape: Infinite line with self-similar triangular patterns
    • Iterations: Infinite, but commonly shown up to a finite number
    • Self-similarity: Each iteration adds four sides of a triangle to each existing side
  8. 8

    The Penrose Tiling

    Sir Roger Penrose
    This graph is a non-periodic tiling pattern that can be used to cover a surface without gaps or overlaps. Its intricate details and mathematical complexity make it a popular example of mathematical art.
    The Penrose Tiling is a non-periodic, aperiodic tiling of the plane discovered by Sir Roger Penrose in the 1970s. It is named after him and is known for its intricate and intricate patterns.
    • Non-periodic: The pattern does not repeat itself
    • Aperiodic: The pattern does not have translational symmetry
    • Tiling of the plane: It covers the entire plane with shapes that can be assembled in many different ways
    • Intricate patterns: The tiling exhibits a mesmerizing level of detail and complexity
    • Two types of tiles: The Penrose Tiling consists of two types of shapes: rhombi and kites
  9. 9

    The Voronoi Diagram

    Georgy Voronoy
    This graph is a way of dividing space into regions based on proximity to a set of points. Its geometric beauty and practical applications make it a popular topic in computer science and mathematics.
    The Voronoi diagram is a mathematical concept that organizes a plane into regions based on the distance to a specified set of points. Each region represents the area closest to one of the points, and the boundaries between the regions are formed by the lines equidistant to the neighboring points.
    • 2D Space: The Voronoi diagram is defined in a two-dimensional space.
    • Points/Seeds: It requires a set of input points, also known as seeds, to create the diagram.
    • Regions: The diagram divides the space into polygonal regions, where each region corresponds to one seed point.
    • Boundary Lines: The lines separating the regions are called the Voronoi edges, and they represent the equidistant boundaries.
    • Cell/Area: Each region in the diagram is called a Voronoi cell or Voronoi polygon. They contain all the locations that are closer to their seed point than any other.
  10. 10
    This graph is a fractal pattern that can be generated by a simple recursive algorithm. Its natural beauty and complexity make it a popular example of fractal art.
    The Fractal Tree is a data structure used for storing and retrieving data efficiently. It is known for its self-balancing capabilities and robust performance in various applications.
    • Self-Balancing: The Fractal Tree automatically reorganizes itself to maintain a balanced structure, ensuring efficient insertion, deletion, and retrieval operations.
    • Scalability: It can handle large amounts of data by splitting into multiple nodes and distributing the workload across the tree.
    • High Performance: The Fractal Tree offers excellent performance for both read and write operations, making it suitable for high-throughput applications.
    • Cache Efficiency: It optimizes memory access patterns, reducing cache misses and improving overall data access times.
    • Concurrency Support: The Fractal Tree allows concurrent operations, enabling concurrent reads and writes to different parts of the tree without blocking.

Missing your favorite graph?


Ranking factors for beautiful graph

  1. Clarity
    A beautiful graph should be able to convey complex information in a simple and easily understandable manner. This includes the use of appropriate axes, labels, and legends.
  2. Aesthetics
    The visual appearance of the graph should be appealing and attractive. This can be achieved through the use of appropriate colors, shapes, and line styles, as well as by maintaining a proper balance between various elements.
  3. Accuracy
    The data represented in the graph should be accurate and precise. Any misrepresentation or distortion of data can negatively affect the graph's beauty.
  4. Relevance
    The graph should be relevant to the topic being discussed and should help support the overall argument by highlighting important trends or relationships.
  5. Scaling
    The scale of the graph should be chosen appropriately, so the data can be easily interpreted and compared, without unnecessary exaggeration or minimization of differences.
  6. Consistency
    The design elements of the graph should be consistent throughout, contributing to a cohesive visual presentation.
  7. Use of visual cues
    A beautiful graph makes effective use of visual cues like gridlines, highlights, or markers to draw attention to important data points or trends.
  8. Readability
    The graph should be easily readable, with appropriate font sizes and styles for all text elements and a clear distinction between different data series.
  9. Interactivity (if applicable)
    In some cases, interactive graphs can enhance the beauty of a graph by allowing users to explore the data in more detail or from different angles.
  10. Innovation
    A graph that presents unique and creative ways of visualizing complex data can be considered especially beautiful, as long as it remains clear and informative.

About this ranking

This is a community-based ranking of the most beautiful graph. We do our best to provide fair voting, but it is not intended to be exhaustive. So if you notice something or graph is missing, feel free to help improve the ranking!


  • 215 votes
  • 10 ranked items

Voting Rules

A participant may cast an up or down vote for each graph once every 24 hours. The rank of each graph is then calculated from the weighted sum of all up and down votes.

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More information on most beautiful graph

Graphs are powerful tools for displaying data in a clear and concise way. From pie charts to bar graphs, they allow us to understand complex information at a glance. But beyond their functionality, graphs can also be aesthetically pleasing. The most beautiful graphs combine form and function, presenting data in a visually stunning way. Whether it's a minimalist line graph or a colorful scatter plot, a beautiful graph can make even the most mundane data appear fascinating. In this article, we explore some of the most striking and visually appealing graphs out there, and what makes them so captivating.

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