D3 Quadrant

D3 Ternary Plot

A D3 ternary plot displays compositional data with three variables summing to 100%, using an interactive animation. The visualization renders an equilateral triangle grid with major and minor tick lines along the A, B, and C axes, plus labeled tick marks. SVG circles represent data points, which change when a "Data change" button is clicked. The code builds the plot using the D3.js library (version 3.1.6) with raw SVG attributes and transformations, computing point coordinates from the three-part ratios and using `selectAll` and `append` to construct the axes and labels dynamically.

KKelvinZCH

39. D3 Scale Plot Big

A scatterplot maps a small dataset of eleven coordinate pairs onto an SVG canvas, with circle positions scaled by d3.scaleLinear functions for the x- and y-axes, and circle radii scaled by another linear scale based on the y-value. Each point is labeled with its original coordinates in red sans-serif text. The chart demonstrates basic scaling and data-binding patterns within D3 version 4.5.0, using standard selection and enter-append methods to generate SVG elements from the array. No axes, tooltips, or interactivity are included.

Untitled

A parallel coordinates plot displays two data records across five categorical axes—Style, Intelligence, Focus, Magic, and Gender—with values scaled linearly from 1 to 10. Solid and dashed polylines represent each row, distinguishing the two series. Built with D3 v4, it uses `d3.scaleLinear` for y-axes, `d3.scalePoint` for x-axis positioning, and `d3.axisLeft` for rendering. SVG paths are generated via `d3.line`, with a custom legend annotating “Achieved Performance” and “Requirement.” Data loads from a CSV file containing two numeric rows.

JJoker-tr

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

47. D3 Axes No Labels

A scatterplot displays 50 randomly generated data points as circles, with their horizontal position mapped from a linear scale and their vertical position from a second linear scale. Circle area encodes the y-value through a square-root scale. The chart includes x and y axes with ticks, created via `d3.axisBottom` and `d3.axisLeft`, but all text labels are removed. The SVG is built dynamically with random data generated in JavaScript, using `d3.scaleLinear` and `d3.scaleSqrt` for coordinate and size mappings.

73% match

D3: A simple, unstyled axis

This example demonstrates a basic scatterplot rendered as an SVG, with red data-point labels and axes that adopt a default, unstyled appearance. Using D3 v4, the code loads a hardcoded array of coordinate pairs and applies linear scales to map the data to a 500-by-300-pixel drawing area. The `d3.axisBottom` and `d3.axisLeft` functions generate the x- and y-axes, while circles are placed and labeled via D3’s `selectAll` and `append` chain. Data is presented without any custom styling rules, highlighting raw axis output.

深深度碎片

73% match

70. D3 Axes Dynamic

Clicking the text updates a scatterplot of 50 circles with new randomized data values. D3 version 4.5.0 is used to render the SVG, with d3.scaleLinear domains recomputed on each click and axes redrawn. The circles and axis lines transition over one second via d3.transition, showing how scales and axes rescale dynamically.

72% match

73. D3 Clip Path

This example demonstrates a dynamic scatterplot of 50 randomly generated data points, where each point is represented as a circle. The visualization updates its scales and redraws the circles and axes when the user clicks on the text prompt, with each update using a transition that briefly highlights the circles in magenta before returning them to black. The code uses D3.js version 4.5.0 to define linear scales for the x and y axes, an SVG clipping path to contain the plot area, and transition methods to animate the data updates.