Challenge

Fork of Circles with D3

This example shows a collection of overlapping circles arranged on a light green background, each with distinct positions, radii, and vivid fill colors. It demonstrates how D3’s data join and method chaining bind an array of circle objects to SVG elements, setting their center coordinates, radius, and fill via attribute accessors. The visualization uses the `select`, `selectAll`, `data`, and `join` methods to manage the DOM, with a fixed dataset defined in code rather than loaded from an external source.

HHagar E

94% match

Fork of Circles with D3

This example demonstrates how to create and arrange multiple colored circles on an SVG canvas using D3.js. It shows a data-driven approach where each circle’s position, size, and color are defined in a JavaScript array. The code uses D3’s `select`, `selectAll`, and `join` methods to bind data to circle elements, then sets attributes like `cx`, `cy`, `r`, and `fill` via method chaining. The visualization highlights D3’s general update pattern and hot-reloading workflow, with a light green background and semi-transparent circles for overlap effects.

93% match

Fork of Circles with D3

This example demonstrates how to draw a set of circles with D3.js, positioning them using explicit x and y coordinates and styling each with a distinct fill color and opacity. It shows the core data-join pattern by binding an array of circle objects to SVG elements, then using method chaining to set attributes like center position, radius, and color. The visualization uses the D3 `select` function and the `join` method to manage the SVG container and its children. The approach emphasizes a clean separation between data and rendering logic, making it easy to swap in different datasets or apply thematic modifications.

Fork of Circles with D3

This example demonstrates how D3.js creates and positions multiple circles within an SVG, each with distinct coordinates, radii, and fill colors. The visualization shows a data-driven approach where circle properties are defined in an array of objects and bound to SVG elements using D3’s `selectAll`, `data`, and `join` methods. The code sets the SVG’s dimensions based on the container’s size, then styles the background with a light green tint. Each circle’s position, size, and color come directly from the data, with an opacity value applied to all elements. The implementation relies on method chaining and the general update pattern to handle rendering efficiently.

Fork of Circles with D3

Fork of Circles with D3

This visualization displays a collection of colored circles scattered across a light background, each positioned with distinct coordinates and radii. The code uses D3.js version 7.8.5 to bind an array of data objects to SVG circle elements, setting their `cx`, `cy`, `r`, and `fill` attributes while applying a 70.8% opacity. The example demonstrates basic data joins with `selectAll` and `join`, showcasing how static positional and stylistic properties map directly from data. The rendering approach relies on SVG within a responsive container, with no animation or interaction, highlighting a simple, static scatter-like composition.

Vvishal R

Fork of Circles with D3

This example showcases five static, semi-transparent circles scattered across an SVG canvas, each with a distinct size, position, and color. The code uses D3 v3’s `select` and data joins to bind an array of circle objects to SVG elements. Rendering is driven by setting attributes like `cx`, `cy`, `r`, and `fill` directly from the data, with a fixed opacity value of 0.5. The visualization is a minimal demonstration of D3’s declarative approach to creating simple geometric shapes from a hardcoded dataset.

DDonald Bagwell

Fork of Circles with D3

This example is a fork of the "Circles with D3" visualization. It displays seven semi-transparent circles, each with a unique color and position, rendered on a light green background. The code uses the D3.js library, specifically the `select` and `join` functions, to create and update SVG elements. The circles' properties—center coordinates, radius, and fill color—are defined in a static data array and applied via chained attribute methods, resulting in a static, colorful composition.

AAustin Tanksley