D3: Drawing a Scatter Plot

100%

D3: Drawing a Scatter Plot

✓ Published1🌍 Public

Last edited Sep 26, 2022

Created on Sep 26, 2022

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.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

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

90% match

Loading thumbnail…

Scatter Plot

This example renders a scatter plot of data points within an SVG using React. It leverages D3.js v5 to manage the visualization logic, while the rendering is handled through SVG elements defined in the JSX. The plot displays individual circles positioned on a 960 by 500 canvas, with a simple, uncluttered design. The code integrates D3 scales and axes to map data values to screen coordinates, though the specific dataset is not defined in the visible files.

Ppillliarun79

86% 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

84% 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

84% match

Loading thumbnail…

Scatter Plot Example

This scatter plot visualizes a dataset of x and y coordinates as colored points on a linear scale. The code uses D3.js v6 to create an SVG rendering with x and y axes, and colors each circle based on its index. The visualization demonstrates basic scatter plot construction with d3.scaleLinear for mapping data values to screen coordinates, and d3.axisBottom and d3.axisLeft for displaying the axes. Labels are added to both axes to indicate the plotted dimensions.

BBhavanaGIrni

84% 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

83% match

Loading thumbnail…

Creating SVG Scatter Plot

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.

DDasbach.EJ

82% match

Loading thumbnail…

Learning Scatter Plot on D3

This example demonstrates a minimal scatter plot setup using D3 within a React framework. The page displays a simple HTML message with large centered text, along with a basic CSS styling. The code initializes an SVG-less visualization, focusing on the foundational structure for future D3 scatter plot development. It does not yet render actual data points, instead serving as a starting template that references the D3 v3 library and React integration patterns. The implementation uses plain HTML and CSS, with the message element serving as a placeholder for the forthcoming chart.

UUzoemeka Okechukwu Innocent

82% match