Skip to main content
SimilarExport ZIP
100%

Assignment-2

✓ Published2🌍 Public
Vvaishnavi6gan@gmail.com
Last edited Apr 11, 2024
Created on Apr 11, 2024
Forked from Assignment-2

This visualization shows the results of Assignment-2, displaying data points as an animated scatterplot. It uses `d3.forceSimulation` to position and move circles, with labels rendered for each point, and includes a refresh button to reset the animation. The example relies on D3’s event handling for mouse interactions and transitions to update positions smoothly. The data appears to be generated randomly, and the rendering approach uses SVG elements managed through D3’s selection and data-join methods. The author is VaishnaviGunnaReddy, and the source is labeled v3.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Assignment-2

This D3.js example renders a colorful scatter of circles over a pale green SVG canvas, with each circle’s position, size, and color defined by a static JavaScript array. The code demonstrates the D3 *general update pattern* and method chaining via the `select` function, the `join` operation, and chained `.attr` setters to bind data and style the shapes. The visualization uses a hardcoded dataset, with an opacity of 0.708 applied to all circles for a layered effect.

Vvaishnavi6gan@gmail.com
82% match
Loading thumbnail…

Fork of Assignment-2

This example visualizes a force-directed network graph built with d3.forceSimulation, displaying circular nodes connected by lines. The graph uses an SVG renderer, with node positions updated each tick. The data is loaded from an external CSV file (source v3), and the code includes a legend and controls for restarting the simulation. Node drag behavior is implemented via d3.drag, and the visualization applies a color scale to differentiate nodes based on categorical data.

Vvaishnavi6gan@gmail.com
79% match
Loading thumbnail…

Fork of Assignment-2

This example visualizes a force-directed network graph built with d3.forceSimulation, displaying circular nodes connected by lines. The graph uses an SVG renderer, with node positions updated each tick. The data is loaded from an external CSV file (source v3), and the code includes a legend and controls for restarting the simulation. Node drag behavior is implemented via d3.drag, and the visualization applies a color scale to differentiate nodes based on categorical data.

Vvaishnavi6gan@gmail.com
79% match
Loading thumbnail…

Assignment 2 task1

This interactive visualization displays the Iris dataset through a dynamic scatter plot, cycling through different feature pairs on the x-axis every few seconds. The code uses D3’s `scaleLinear`, `axisBottom`, and `axisLeft` to construct the plot, while circles are colored by species (setosa, versicolor, virginica) via a custom marker function. The animation leverages `setInterval` to update the x-axis mapping, with axes, labels, and a legend re-rendered through `selection.call`. Data loads from a CSV URL using D3’s `csv` parser, and the SVG graphic updates in place.

BBhavana Sharma
77% match
Loading thumbnail…

DataViz Sec1

This example renders an interactive scatterplot of simulated data points, arranged to gradually form a smiley face as the visualization progresses. It uses a force-directed layout via `d3.forceSimulation` to position nodes, with each point’s color and size mapped from its initial random coordinates. The underlying data is generated procedurally, and the canvas drawing leverages D3’s selection and transition methods to update node positions in real time. The piece demonstrates how a simple dataset can be transformed into a playful, recognizable shape through iterative physics-based adjustments.

Mmichael.rehnberg@noaa.gov
76% match
Loading thumbnail…

project 2

This example visualizes a force-directed graph of interconnected nodes using D3.js, with the simulation driven by `d3.forceSimulation` and `d3.forceLink` to position the elements. Node positions update in real time as the forces settle, while links are rendered as SVG lines and nodes as circles with fill colors based on their cluster membership. The code also includes zoom and drag interactions via `d3.zoom` and `d3.drag`, and it loads data from an external JSON file to define the network structure. The rendering approach uses standard SVG elements, with the simulation’s tick event updating the visual attributes dynamically.

Nnitishsurneni@gmail.com
75% match
Loading thumbnail…

D3 Selection Exploration - Exercise

This example demonstrates D3's data-join and selection methods through an animated scatterplot of circles and vertical lines. The visualization continuously updates as `d3.range` generates new data points, with circles and lines re-rendered every frame. The code uses `selection.data().join()` for enter, update, and exit handling, alongside `selection.call()` for reusable visualization logic. Randomly colored circles refresh twice per second, while the underlying sine-wave pattern animates smoothly via `setInterval`. The SVG canvas spans the full window, with black-stroked circles connected to green lines.

WWolfgang
75% match
Loading thumbnail…

Untitled

This example presents a dynamic scatterplot that visualizes a dataset from the v3 source, mapping points that shift between states based on interactive forces. The visualization uses the HTML5 Canvas API’s `getImageData` method to sample pixel colors and enable readback of the rendered scene, while `d3.forceSimulation` drives the physics-based layout and motion of the nodes. A bare-bones `index.html` hosts the code, which draws the points as they relax into clusters and respond to real-time user drag interactions. The graph updates its edges and positions through iterative simulation steps.

JJared McCarver
75% match