Pseudo scatterplot

Pseudo scatter plot

A pseudo scatter plot displays seven black circles on a white background, simulating a basic scatter plot without any underlying dataset or axes. The visualization uses raw SVG elements, explicitly defining a white `<rect>` as the canvas and positioning each `<circle>` at fixed coordinates with a radius of 25. The HTML file includes inline CSS to remove page margins and hide overflow, ensuring the 960 by 500 pixel SVG renders edge-to-edge. The approach relies on hardcoded circle positions rather than a data-driven library like D3 or a layout algorithm.

Aadriana-ss

Pseudo Scatter Plot

This example presents a pseudo scatter plot, using a set of six circles arranged to suggest a data distribution rather than plotting actual data points. Each circle is rendered as a static SVG `<circle>` element with fixed coordinates and a radius of 34.5, positioned on a white 960×500 canvas. The visualization relies purely on raw SVG markup inside an `index.html` file, with no JavaScript libraries or dynamic data processing involved. The sparse, hand-coded placement of circles creates a simple, minimalist view of a hypothetical scatter pattern.

YYangxi Liu

Pseudo Scatter plot

This visualization uses static SVG circles to create a pseudo scatter plot, with each dark gray dot placed at fixed coordinates on a white background. The code directly embeds circle elements in the HTML, specifying cx, cy, and r attributes without any data binding or dynamic computation. While CSS transitions on hover change the ellipse’s fill color, the circles themselves remain static, and no interaction updates their positions. The example demonstrates basic SVG shape rendering and styling through pure HTML and CSS, with no JavaScript libraries involved.

Aandu006@gmail.com

Pseudo scatter

This example presents a hand-coded static scatter plot titled “Pseudo Visualization,” rendered as six equally sized circles positioned across a 960-by-500 SVG canvas on a white background. The visualization is built with plain HTML and CSS, using no JavaScript libraries; each circle’s center and radius are specified directly in the markup. The layout mimics a pseudo-random distribution, though the coordinates are fixed and manually defined rather than generated by an algorithm.

Mmaciekawsq@gmail.com

Pseudo Scatter

A pseudo-scatter plot arranges seven circles in a loose diagonal sweep across a white SVG canvas, suggesting clusters or points of interest without underlying data. Rendered as static SVG circles via plain HTML markup, each circle has a fixed radius of 38 pixels and explicit x/y coordinates, with no axis or grid. The composition evokes a scatterplot’s visual rhythm while omitting any statistical encoding, relying solely on positioned shapes to imply distribution. No JavaScript libraries or dynamic rendering are used; the visualization is purely declarative SVG.

Aalexscott-untitled

Pseudo Scatterplot

An SVG pseudo scatterplot displays seven black circles arranged diagonally across a white canvas, suggesting a rough downward trend from upper left to lower right. Each circle has a uniform radius of 18 pixels, with coordinates explicitly set in the markup. The visualization uses raw SVG elements—`rect` for the background and `circle` for data points—defined directly in an HTML file with inline styles. No JavaScript libraries or data processing are involved; the chart is purely static and hand-coded.

Cchacon1@uic.edu

Pseudo Scatter Plot

A pseudo scatter plot displays seven solid black circles at varied positions on a white canvas, approximating a scatter plot without any underlying data. The circles are rendered directly as SVG `<circle>` elements with a fixed radius of 50, rather than through a data-driven framework. The visualization uses plain SVG markup in an HTML document, with a single drop shadow filter applied to the background rectangle to create a subtle elevation effect. No axis, labels, or interaction are present, making it a purely visual approximation.

PPrince Kumar

Pseudo scatter plot

A pseudo scatter plot displays five fixed circles at arbitrary positions on a blank SVG canvas, with no data mapping or interaction. Each circle has a radius of 30 pixels, and their coordinates vary along the x- and y-axes, creating a sparse arrangement. The code uses plain SVG elements (circle, svg) within an HTML page, with no JavaScript libraries or frameworks. It demonstrates a minimal, static visualization of manually placed points, representing a conceptual precursor to a data-driven scatter plot without any computed scales or axes.

Yyankesswang