Creating SVG Scatter Plot

100%

Creating SVG Scatter Plot

✓ Published1🌍 Public

Last edited Apr 19, 2021

Created on Apr 18, 2021

This example demonstrates a dynamic SVG scatter plot built with D3 version 6, displaying randomly generated (x, y) data points as tan circles with varying radii and labeled coordinates. The visualization uses `d3.scaleLinear` for the x- and y-axes, `d3.scaleSqrt` for circle sizing, and `d3.axisBottom` and `d3.axisLeft` for the axes, all rendered through SVG elements appended to the body. The data array is created with a JavaScript loop and `Math.random`, with 20 points plotted across a full-window canvas, and each point includes a text label showing its coordinates.

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

D3: Drawing a Scatter Plot

This example displays a basic scatter plot of ten data points, each represented by a circle and a red text label showing its coordinates. The visualization uses D3.js v7 to append SVG circles and text elements to the document body. Circle radii are calculated as the square root of the difference between the plot height and the y-coordinate, creating a size variation tied to vertical position. The chart is drawn with a 500 by 100 pixel viewport, using the data array directly as the source for positioning.

MMarisa Tania

82% match

Loading thumbnail…

Scatterplot

A scatterplot displays 50 randomly generated data points, mapping each point’s x- and y-coordinates against linear scales with axis tick marks. The SVG rendering, created with D3.js, uses a linear scale for both axes and a third linear scale to map y-values to circle radius (ranging from 2 to 5 pixels). The visualization is animated, as the dataset is regenerated with new random values each time the page loads, and the circles are drawn without transitions between states. The code explicitly uses D3’s `d3.scale.linear` and `d3.svg.axis` APIs to construct the plot.

MMrajyalakshmi

82% match

Loading thumbnail…

Scatter Plot

This scatter plot displays ten randomly generated data points distributed across a two-dimensional plane, with each circle’s position determined by linear scales mapping the data range to pixel coordinates and its radius scaled proportionally. The visualization uses D3 v4 to create an SVG, with axes generated via `d3.axisBottom` and `d3.axisLeft`. The code applies `d3.scaleLinear` for both x and y positioning, `d3.scaleOrdinal` with `d3.schemeCategory20` for coloring each circle, and a separate radius scale. The data originates from `d3.range(10).map(Math.random)`, producing a simple, uncluttered chart that highlights basic scatter plot construction without external data files.

BBerengerCunillera

82% match

Loading thumbnail…

D3 tutorial

This example shows a scatterplot of 50 randomly generated data points, with each point’s position and radius mapped using linear scales. The visualization demonstrates how D3.js 3.5.5 creates axes and scales for dynamic data, drawing circles as SVG elements. The x- and y-axes are rendered using `d3.svg.axis`, with tick formatting applied as percentages on the x-axis. The code uses `d3.scale.linear` for positioning and radius, and the data is generated on the fly with `Math.random`. The tutorial source is from alignedleft.com, and the SVG rendering approach is explicit in the markup.

CChristosT

82% match

Loading thumbnail…

D3: A simple scatterplot with SVG

This example shows a simple scatterplot of ten data points, each rendered as an SVG circle and labeled with its coordinates. The chart uses the D3.js library (version 3) to programmatically build the visualization: first, the code creates an SVG canvas via `d3.select` and `.append("svg")`, then uses `.selectAll("circle").data(dataset).enter()` to map the 2D array of `[x, y]` values to circle positions and radius sizes. Red text labels are added in a similar declarative manner, with font styling applied through attribute setters. The raw coordinate pairs come from a hardcoded dataset, and the circle radius is computed from the data point’s height, creating a visual encoding of magnitude.

Nnikomc

82% match

Loading thumbnail…

ScatterPlot

This scatterplot uses D3 to display a set of points on an SVG canvas, with axes drawn via a linear scale. The code defines explicit margins and dimensions, then appends an SVG group to position the plot area. Each data point is rendered as a circle, though the dataset itself is not included in the visible code. The visualization focuses on showing the distribution of values across the x and y coordinates, with no additional encoding beyond position. The implementation relies on D3’s selection and scale APIs, following a standard margin-based layout pattern.

BBerengerCunillera

81% match

Loading thumbnail…

Scatter Plot

A scatter plot displays individual data points positioned by two numeric variables, with each point rendered as a small circle. The visualization uses D3.js v6 and is built with a simple SVG container. The code applies the `d3.scaleLinear` function to map x- and y-values to pixel coordinates, then appends `circle` elements to the chart area. Axes are generated with `d3.axisBottom` and `d3.axisLeft`. The data is loaded from an external CSV file using `d3.csv`, and the plot updates dynamically once the data is parsed.

JJames Huang

80% match

Loading thumbnail…

Making a Scatter Plot

This example shows a minimal scatter plot built with D3 v6 in a React framework, rendering to SVG. It demonstrates how to create a basic chart from scratch using the D3 library, with data points positioned via the `d3.scalePoint` or `d3.scaleLinear` scale. The code includes a simple `index.html` page that loads D3 and a bundled JavaScript file, which uses D3 selections to append circles to the SVG element. The visualization is intentionally bare-bones, focusing on the core mechanics of setting up scales and shapes, with styling provided by an external CSS file.

Eegrebing

80% match