Scatter

100%

✓ Published0🌍 Public

Last edited Aug 31, 2018

Created on Aug 31, 2018

This example shows a scatterplot of 50 randomly generated data points, with each point’s position determined by its x and y values and its size scaled by the y value using a square-root scale. The visualization uses D3 v4 with an SVG rendering approach, employing `d3.scaleLinear` for the axes, `d3.scaleSqrt` for the point radii, and `d3.axisBottom` and `d3.axisLeft` to draw the axes. The dataset is created on the fly with `Math.random`, so the plot changes each time the page loads.

AI-generated description

Built with blockbuilder.org

mit Licensed

Similar vizzes

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

88% 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

88% 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

85% 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

85% 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

84% match

Loading thumbnail…

ScatterRecentBackground

A scatterplot displays 50 randomly generated data points on an SVG canvas overlaid on a soccer field background image. D3 v4 creates linear scales for the x- and y-axes, which render with tick marks. Clicking the text above the chart regenerates the dataset and animates the circles to their new positions using a 1-second transition. The visualization uses d3.scaleLinear, d3.axisBottom, d3.axisLeft, and the transition method to update the chart dynamically.

TTollyCoburn

84% match

Loading thumbnail…

D3: Scatterplot!

This interactive scatterplot displays 50 random data points on Cartesian axes, with each circle colored blue or red depending on whether its x-coordinate falls in the left or right half of the plot. Clicking the “Randomize” button generates a fresh dataset and smoothly animates the points, axes, and color updates over two seconds. The visualization is built with D3 3.5.5, using the `d3.scale.linear`, `d3.svg.axis`, and `transition().duration(2000)` APIs, and renders entirely as SVG. The code derives from Scott Murray’s examples, forked from earlier gists by anonymous and jalapic.

MMissHanJ

84% match

Loading thumbnail…

D3: ScatterPlot

This interactive scatter plot displays 50 randomly generated data points on a chart with labeled x and y axes. Clicking the visible "Click!" text triggers a one-second animated transition where the points enlarge and turn red before shrinking back to their original size and color, while the axes rescale to fit new random data. The visualization uses D3 v5's `scaleLinear` for coordinate mapping, `axisBottom` and `axisLeft` for axes, and `transition` with `duration` and `on("start")`/`on("end")` callbacks to animate the point changes.

PPragyagarg

83% match