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Word Cloud Example

This example displays a word cloud of physics-related terms, with font size encoding each word's frequency from the provided dataset. It uses the `d3.layout.cloud` plugin to compute the layout and renders the result as SVG text elements with D3 v3. The cloud rotates words at zero degrees and applies a grayscale color scale based on frequency. An animation gradually places each word into position as the layout algorithm runs.

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Word Cloud-3

This example displays a word cloud visualization using the d3.layout.cloud plugin, which arranges words from a TSV data file based on their frequency values. The code filters the dataset, maps each entry to a text-size pair, and uses the cloud layout with custom rotation, padding, and the Impact font. Words are rendered as SVG text elements with colors from a category20c scale, appearing animated as the layout algorithm places them across a 500×500 canvas area.

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Word Cloud

This word cloud visualization displays the frequency of terms related to physics, with larger words like "physics," "matter," and "energy" appearing more prominently. The visualization uses D3.js v4 with the d3.layout.cloud library to position words in a dense, rotated layout. Data from a JavaScript array supplies the text and size values, which are rendered as SVG text elements. The layout algorithm calculates word positions to fill the 560x400 canvas without overlapping.

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Word Cloud Example

This example demonstrates a word cloud visualization, where words from a CSV file (datas.csv) are displayed with varying font sizes proportional to their frequency counts. The visualization is built using D3.js v3 and the custom `d3.layout.cloud.js` library, which implements the word layout algorithm. The code uses D3's linear scale for color mapping and renders the words as SVG text elements. Animated placement occurs through the library's internal timer steps, positioning each word using a spiral placement algorithm.

Word Cloud

This word cloud uses D3’s `d3.layout.cloud` to position words by frequency, with font size scaled by each term’s count. The layout runs inside a force simulation, and the rendering draws the words onto an SVG canvas using `d3.select` and `text` elements. The visualization reads a local JSON dataset of words and counts, then animates the cloud’s appearance with a smooth rotation and fade-in transition. Colors are applied from a categorical palette to differentiate word groups, while the overall layout adapts to the container’s size.

SSree Likhith

Word Cloud Example

This example presents a word cloud visualization that arranges text tags by frequency, with larger words representing higher values in the input data. The layout algorithm, based on Jason Davies’s implementation, places words using an Archimedean spiral to avoid collisions. The code uses the `d3.layout.cloud` API with `.size()`, `.padding()`, `.rotate()`, and `.font()` configurations. After layout, the `d3.select("body").append("svg")` chain renders the results, applying font size and family via inline styles, with animated placement driven by the `setInterval` timer in the cloud layout process.

Word Cloud-3

This visualization displays a word cloud built from frequency data in a TSV file, using font size to encode the magnitude of each term. The words are rendered as SVG text elements with random rotations and a categorical color scale. The layout is computed with the `d3.layout.cloud` plugin, which uses a collision detection algorithm to place words without overlapping. Data is loaded via `d3.tsv` and processed with array methods before the cloud is drawn and animated by the plugin’s step function.

Word cloud

This example displays a word cloud of 17 English words, such as "Hello," "Everybody," and "Coding," using the `d3.layout.cloud` API to position the words within a 450x450 SVG canvas. The implementation uses `d3.select`, `svg.append`, and `text` elements to render each word, with font size, rotation, and position determined by the cloud layout algorithm. The data consists of a static JavaScript array of words, and the visualization demonstrates how the `d3.layout.cloud` library integrates with the D3.js v4 framework within a React project.