D3 Scatterplot

100%

D3 Scatterplot

✓ Published0🌍 Public

Last edited Mar 14, 2019

Created on Mar 14, 2019

This example visualizes a scatterplot of eight x-y coordinate pairs, with each point labeled by its numeric coordinates. It demonstrates how to map data values to screen positions using linear scales. The visualization is built with D3.js v3 and renders to SVG. It uses `d3.scale.linear` to create the x and y scales, `d3.svg.axis` to add axes, and binds data to circles and text elements for points and labels. The code defines axes with a bottom orientation and left orientation, and applies CSS styling for the axis lines and text.

AI-generated description

forked from <a href='http://bl.ocks.org/WilliamQLiu/'>WilliamQLiu</a>'s block: <a href='http://bl.ocks.org/WilliamQLiu/803b712a4d6efbf7bdb4'>D3 Scatterplot</a>

mit Licensed

Similar vizzes

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

83% match

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

80% 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

80% 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

80% 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…

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

79% match

Loading thumbnail…

simple scatterplot

A simple scatterplot displays seven data points from a small hard-coded array, each with x and y coordinates. The visualization is created using D3 v4, rendering to an SVG element that is appended to the page body. The code begins selecting the body and appending an SVG canvas of 960 by 500 pixels, then attempts to map the data array to circle elements, though the example only shows the initial setup without completing the circle rendering.

DDJURK

79% 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

79% match