Test44

BBismark Kofi Owusu Sarfo

Circles with D3 and React

The visualization displays fourteen circles of varying radii and colors positioned across a 960-by-500 SVG canvas, with each circle’s center, size, and fill defined by a static array of objects. Built with React 19 and D3 v7, the app uses a `useRef` hook to select the SVG element and applies a D3 `select` and `.join` operation to bind the data array to circle elements. The code sets each circle’s `cx`, `cy`, `r`, and `fill` attributes directly from the data source, showing a straightforward declarative mapping of data to SVG shapes.

86% match

HAW test 5.12

Five circles, positioned proportionally from a CSV file, are plotted on a responsive SVG canvas. Clicking a circle changes its fill to white with a black stroke while others remain solid black. Built with React and d3.v7, the visualization uses `scaleLinear` to map x and y coordinates from data space to the container's pixel dimensions, dynamically resizing via a `ResizeObserver`. The `join` API efficiently updates circle attributes and click handlers.

Wwdn616@haw-hamburg.de

85% match

Circles with D3 and React

This example renders a scatterplot of 14 colored circles on an SVG canvas using React and D3. Each circle’s position, radius, and color come from static data defined in a separate JavaScript module. The visualization integrates React’s `useRef` and `useEffect` hooks with D3’s `select` method to bind data and create circle elements via `join`. The D3 v7 code applies `attr` setters for cx, cy, r, and fill properties.

83% match

Circles with D3 and React

This example shows a collection of pastel-colored circles positioned across a white SVG canvas. It demonstrates how to integrate D3's data-join pattern with a React component. The code uses a `useRef` hook to access the SVG element, then calls a D3 `viz` function in a `useEffect` to bind data from a static array via `selection.data()` and `.join('circle')`, setting each circle's `cx`, `cy`, `r`, and `fill` attributes directly. The data is hardcoded in a separate `data.js` module, and rendering is done through React's `createRoot` with plain `React.createElement`.

223100098@lums.edu.pk

83% match

Circles with D3 Cleaned Up

Fourteen colored circles, each with a unique position, radius, and color, are rendered on a 960×500 SVG canvas. The visualization demonstrates a clean, data-driven approach to drawing circles using D3 v7. The code binds an array of circle data to SVG circle elements using `selectAll`, `data`, and `join`, setting the `cx`, `cy`, `r`, and `fill` attributes directly from each data object. The data is defined in a separate module and the visualization logic is contained in a reusable `viz` function, making the example modular and easy to extend.

Clickable Circles with D3 and React

Clickable circles rendered in an SVG canvas demonstrate a React and D3 integration. The visualization shows 14 circles with varied positions, sizes, and colors from a static array. Clicking a circle selects it, highlighting its outline with a black stroke. The App component manages selection state and re-renders the D3 visualization via `select()` and `.join()` for efficient DOM updates. The `viz` function uses D3’s SVG selection API to set attributes and attach click handlers, while React’s `useState` and `useEffect` control the interactive response.

Test

An interactive visualization of circles rendered with D3.js, demonstrating the general update pattern and method chaining to bind data to SVG elements. The code uses `select`, `data`, and `join` to create and update circles, with attributes like `cx`, `cy`, `r`, and `fill` set from a hardcoded data array. The SVG element is sized dynamically based on the container dimensions, and circles are drawn with varying positions, radii, colors, and opacity.

JJohn Liu

CV: Pseudo Scatter Plot

This visualization shows how a set of five data points can be drawn as circles on a scatter plot using predefined x and y coordinates and a fixed radius of 30 pixels. The React component App uses a ref to access its container’s dimensions, which are passed to a viz function that sets the SVG’s width and height. The core rendering is handled by D3’s selection API via select and the join method, where each circle’s cx and cy attributes are bound to the data values. The data source is a static JavaScript array, and the chart uses no scales or axes; instead, the coordinates are used directly.