uber2 rules

100%

✓ Published0🌍 Public

Last edited Sep 23, 2019

Created on Sep 23, 2019

This visualization displays the complete set of linting rules from the prototool linter as an interactive network graph. The data source is a command-line output listing over 50 rule names, which are rendered as nodes connected by categorical grouping. The code uses d3.forceSimulation to position the nodes and d3.drag for user interaction, with each rule’s name shown as a label. The graph applies a force-directed layout with collision detection, and the rendering relies on SVG elements updated through d3’s data join pattern, making the rule hierarchy visually explorable.

AI-generated description

Similar vizzes

Loading thumbnail…

uberplot

This interactive scatterplot visualizes diamond characteristics, with circles positioned by x and y coordinates and colored by categorical color grade. Using the d3.js library, the visualization supports animated transitions when hovering over or clicking data points, temporarily highlighting circles and then reverting them to their original colors. Built with the uberplot helper library, the code defines layers, scales, and mark sets to map data dimensions to visual properties, and uses d3.scaleLinear, d3.scaleOrdinal, and d3.scaleQuantize for encoding.

SSladav

65% match

Loading thumbnail…

my eslint rules

This visualization displays the ESLint configuration rules from a Vue.js project as a structured overview. It shows the custom rule settings, including severity levels, options, and exceptions, alongside parser settings, environment definitions, and plugin usage. The code references ESLint’s configuration API, including `parserOptions`, `env`, `extends`, `plugins`, and `rules`, with specific rules like `import/extensions`, `max-len`, and `no-console`. The data originates from a gist file containing the module.exports object, rendered using Vue’s framework capabilities. The visualization presents the configuration hierarchy and rule parameters in a readable, organized format.

Aamortka

64% match

Loading thumbnail…

test

This force-directed graph shows the connections between 410 automobile records from the UCI Auto MPG dataset, with nodes colored by their group assignment. The visualization combines a reorderable adjacency matrix with a draggable network view, allowing users to sort nodes by name, group, or computed leaf order. The matrix uses `d3.scaleBand` and `opacityScale`, while the interactive network relies on `d3.forceSimulation` with link and charge forces. Node grouping is derived from link counts, and the leaf-order calculation uses the reorder.js library with Manhattan distance.

CChenLeah

63% match

Loading thumbnail…

Gist 6f78386109f6234266f343adb7484c0a

This visualization displays a network of nodes connected by curved links, with each node positioned using a physics-based force layout. It uses `d3.forceSimulation` to compute node positions and `d3.line` with a curve generator to draw the links as smooth paths. The rendering occurs on an SVG canvas, where node colors and sizes reflect data values, and a tooltip appears on hover. The code loads external JSON data from a gist and dynamically updates the visualization based on the parsed dataset.

Aamazingandyyy

62% match

Loading thumbnail…

Untitled

This visualization presents a car report as an interactive network of nodes and links. The code implements a force-directed graph using `d3.forceSimulation` and `d3.forceLink` to position elements, with drag and zoom interactions via `d3.drag` and `d3.zoom`. Nodes are rendered as circles with custom styling, and links are drawn using SVG paths. The data appears to be loaded from an external JSON or CSV source, though the exact input format is not shown in the visible script. The interface includes a header and status indicator, but no additional chart types or maps are used beyond the network layout.

Ddepane12

62% match

Loading thumbnail…

Gist a7d5ced57721ac3f7075bbbbaee32a49

This interactive visualization uses a force-directed simulation to animate a network of nodes and links, showing how connected elements cluster and repel. The code relies on D3’s `d3.forceSimulation` with custom forces for charge, centering, and collision, while link positions update via the simulation’s tick handler. Node rendering uses SVG circles, and the visualization reads its data from an embedded array of node and link objects, with no external data source. The interaction includes drag-and-drop support via D3’s drag behavior, letting viewers move nodes while the simulation continuously recalculates positions.

11wheel

62% match

Loading thumbnail…

Projet_test

This visualization shows music recommendation rules as an interactive force-directed graph. Nodes represent artists, while links connect an antecedent artist to a recommended consequence, with link thickness or proximity reflecting the support value from the recommendation data. The graph also displays artist tags and counts from a CSV file. It uses d3.forceSimulation to position nodes and SVG elements for rendering, with hover highlighting and tooltips displaying artist details.

RRomyRatolojanahary

62% match

Loading thumbnail…

Gist 6db8115f185f7e57cb4395da0474fbf6

This example presents an interactive visualization of a network graph, where nodes are connected by curved links and can be dragged by the user. The code builds the layout using `d3.forceSimulation` for physics-based positioning and renders the scene with `d3.select` and SVG elements, including `transition.attrTween` for smooth link animations. It reads a JSON dataset of node and edge data from an external file, and uses `d3.zoom` for panning and scaling the view. The visualization shows how force-directed algorithms distribute connected nodes while user input adjusts the simulation in real time.

11wheel

61% match