reusable scatter data

100%

reusable scatter data

✓ Published0🌍 Public

Last edited Oct 25, 2025

Created on Oct 25, 2025

This example demonstrates a scatter plot built with D3, using spherical projections to render the data points as textured discs that appear to ripple and pulse. The visualization leverages D3’s `forceSimulation` for layout and `svg` paths with custom `d3.geoPath` projections to map the data onto a globe-like appearance. Rendering is done through SVG paths and canvas layers, where the code applies a custom texture and animation loop. The data points are generated procedurally, and the effect is achieved through a combination of CSS filters and JavaScript timing functions, providing a playful, interactive feel without external data sources.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Reusable scatter plot

This reusable scatter plot displays 200 randomly generated data points using D3.js v4, with interactive buttons that trigger animated transitions. The visualization initially renders normally distributed points as semi-transparent blue circles, while the "Change Data" button regenerates the dataset and smoothly transitions the circles to new positions with updated axes. The "Change Color" button toggles the circle fill between blue and red using D3's transition and ease functions. The example demonstrates reusable chart patterns with SVG rendering, including linear scales, axis generators, and data-binding techniques.

EEfratVil

81% match

Loading thumbnail…

Reusable Scatter Plot with d3.js

This example demonstrates a reusable scatter plot function built with D3 v6, rendered as SVG. It maps quantitative x and y values to positions using `d3.scaleLinear` and draws circles as data points, with axes generated by `d3.axisBottom` and `d3.axisLeft`. The code uses the D3 selection and enter-append pattern to bind sample data, and includes labels for both axes. The plot is encapsulated within a `createScatterPlot` function, allowing it to be called with custom data and dimensions. Loading D3 via UNPKG, the example also shows an ES6 module import in `myMessage.js`.

Aakshayvenishetty1437

81% match

Loading thumbnail…

Reusable Scatter Plot in

This reusable scatter plot displays sample data points as steelblue circles, with x and y positions mapped through linear D3 scales. The visualization constructs axes using d3.axisBottom and d3.axisLeft, applied to an SVG container with configured margins. The d3.v7 code encapsulates the chart creation in a `createScatterPlot` function, which binds data via `selectAll().data().enter().append()` and renders the SVG output with hardcoded example values.

Ssaipaidipalli

81% match

Loading thumbnail…

Reusability_Scatter_Plot

This example demonstrates a reusable scatter plot built with D3.js, showing how the same chart structure can be applied to different datasets through a configurable function. The visualization renders circles positioned along x and y axes based on numeric values, with gridlines and a clean white background. It uses D3’s selection and scale APIs, including `d3.scaleLinear` for mapping data to pixel coordinates and `d3.axisBottom`/`d3.axisLeft` for ticks, while CSS transitions smooth hover effects on the rectangles. The code is structured as a reusable module, making the scatter plot adaptable for various input data.

Sshabanasyed2266@gmail.com

79% match

Loading thumbnail…

Reusable D3 scatter plot

This example presents an interactive scatter plot of the classic Iris flower dataset, using SVG circles to visualize relationships between different measurements like petal length and sepal length. Built with React and D3 v3, the visualization cycles through four data columns every two seconds, smoothly animating the transition of points across axes via D3’s `transition.attr` method. The reusable `scatterPlot` function leverages D3 scales (`scaleLinear`), axes (`axisLeft`, `axisBottom`), and data joins to dynamically update the visualization. The code loads data from a remote CSV using `d3.csv` and adapts to the browser viewport dimensions.

Bbjfmbeck

79% match

Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This example shows a row of twenty circles evenly spaced across the screen, all centered vertically. The visualization uses D3.js version 6.7.0 to bind an array of data points to SVG circle elements, setting each circle’s x-coordinate, y-coordinate, and radius based on the data. The code pulls data from a simple generated array via `d3.range`, and positions the circles using the `select`, `selectAll`, and `join` methods. The page is styled with a hidden overflow and a custom Google font, though the dataset referenced in the README is not actually loaded in the running code.

Kkhalil-ryu

78% 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

78% match

Loading thumbnail…

Reusable_D3_Scatter_Plot.

This example demonstrates an animated scatter plot of the Iris dataset, cycling through different feature pairs on the x-axis while keeping sepal length on the y-axis. Points are colored by species using hard-coded color mapping. The visualization uses D3.js (v6) with a reusable `scatterPlot` module that handles scales, axes, and circle rendering via SVG. A `setInterval` triggers updates to the x-value accessor, and the plot re-renders with new axes and titles, including a legend and axis labels.

Yyamunaunt

78% match