UFO Sightings

Group Project Bioinformatics

This interactive parallel coordinates chart visualizes UFO sighting data from a CSV file. The visualization employs gray background lines for context and blue foreground lines for focus, with draggable axes that users can rearrange by sorting dimensions. Brush controls on each axis filter the displayed UFO records, dynamically hiding non-matching foreground lines. The code uses d3.svg.line() for path generation, d3.behavior.drag() for axis manipulation, and d3.svg.brush() for interactive filtering, all rendered as SVG elements with smooth transitions during drag operations.

72% match

Group Project Bioinformatics1

This visualization combines a choropleth map of UFO sightings with select demographic data. The map, rendered using D3's geo projection and path generators, colors states based on the logarithmic count of reported sightings from the loaded dataset. Clicking a state triggers a zoom-in animation and displays the state's name and sighting count. The page also includes scaffolding for a parallel coordinates plot using D3 scales and axes, though it remains non-functional.

72% match

Group Project Bioinformatics FINAL!!

This visualization presents a choropleth map of the United States where darker colors indicate higher UFO sighting counts per state, using a logarithmic color scale. Users can click on any state to view its specific signature count. The map is rendered with D3 v3, utilizing `d3.geoPath` and `d3.csv` to load the state geometries and data, with an animated transition on selection. The project also includes parallel coordinates charts for exploring multi-dimensional data like income and mental health metrics.

66% match

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.

0007ebey

63% match

Group Project Bioinformatics Final Copy!1

An interactive United States choropleth map and parallel coordinates plot explore state-level relationships between UFO sightings, median income, poverty, mental health, and substance use indicators from 2013–2014. Users can click a state to highlight its multi-dimensional data path, with map color intensity logarithmically scaled to sighting counts. The visualization is built with D3 v3, using `d3.geoPath` for the map, `d3.csv` for data loading, and SVG rendering with drag-and-drop axes for exploring the parallel coordinates.

Word Cloud-3

This word cloud visualizes the frequency of terms from a CSV/TSV dataset, with word size proportional to their numerical `frequency` values. It uses the Jason Davies `d3.layout.cloud.js` library to calculate word placements within a 800x500 space, applying random rotations and the "Impact" font. The visualization renders words as SVG `<text>` elements, with colors assigned from the `d3.scale.category20c()` palette and triggered via `d3.tsv()` data loading.

Kkaviya-ds

D3 in Action Chapter 5 - Example 13

This example visualizes word frequency data as a word cloud using the d3.layout.cloud() plugin, with word size mapped to frequency and rotation depending on text length. Words are colored red if they match a set of keywords, otherwise black, with 75% opacity. The visualization uses both SVG for the rendered words and canvas for collision detection behind the scenes, with animation as words are placed iteratively. The layout centers the cloud in a 500x500 SVG and uses a spiral placement algorithm to prevent overlaps.

663anp3ca

Network Graph

This network graph visualizes relationships among individuals and locations, with nodes labeled by names like "UNT" and connections indicating links between them. The interactive force-directed layout, built with d3.forceSimulation, incorporates link, many-body, collision, and center forces to position the nodes. The SVG renderingshowcases teal circles with direction arrows, while mouseover highlights a node using a CSS class. Data is loaded from a JSON file defining nodes and links, with colors assigned via a simple color scale.

SSravani93-creater