ICE -8- Tree

ICE8 - TREE

The ICE8 - TREE example shows a tree diagram of LinkedIn job postings, organized hierarchically by industry, location, and employment type. It uses the d3.js library (version 6) to render the structure. The code constructs a dataset with branches for tech and health, then applies `d3.tree()` layout to position nodes. Links are drawn with `d3.linkHorizontal()`, while node shapes vary by depth: diamonds for the root, circles for industries, rectangles for locations, and stars for job types. Labels are added via SVG `<text>` elements. Styling uses CSS for pink background, purple headings, and gray links.

95% match

ICE - 8 - TREE

This example presents a hierarchical tree visualization of LinkedIn job postings, organizing data by company, location, and employment type. Using D3.js v7, it renders an SVG tree layout with distinct node shapes—diamonds for the root, circles for companies, squares for locations, and smaller circles for job types—each color-coded for clarity. The visualization employs `d3.hierarchy()` and `d3.tree()` to compute the layout, with `d3.linkHorizontal()` generating curved connecting paths. A legend explains the shape-color mapping, while the pink background and purple heading give the chart a distinctive style. The data is hardcoded and static.

ICE - 8 - TREE

This example visualizes a hierarchical tree of LinkedIn job postings, showing the structure of companies, locations, and employment types. The D3 v3 layout creates a collapsible tree diagram with pink and purple node circles and curved link paths. The code uses `d3.layout.tree()` for positioning, `d3.svg.diagonal()` for curved links, and click handlers on nodes to expand or collapse child branches. The data is hard-coded as a JavaScript array with company names, locations, and four job types per location.

ICE8 - Tree Structure

This tree visualization displays a four-level hierarchy of LinkedIn job postings, organized from the root node down to companies, locations, and job types. The D3.js v7 code builds the structure using `d3.tree` and `d3.hierarchy`, with SVG links drawn via `d3.linkHorizontal` and custom node shapes selected by depth—diamond, circle, square, and star—through `d3.symbol`. Data appears hardcoded in the HTML file, showing fictional postings for Crocs and Stealth across multiple cities.

ICE8-1

This tree diagram visualizes LinkedIn job postings, organized hierarchically by job sector, location, and employment type. The visualization uses D3.js v7 to render an SVG with a custom layout, where nodes are styled by depth level: black diamonds for the root, purple circles for sectors, orange squares for locations, and blue stars for job types. The code applies d3.hierarchy and d3.tree to structure the dataset, with horizontal links drawn using d3.linkHorizontal.

ICE8-1

The visualization depicts a tree of LinkedIn job postings, organized by company, city, and employment type. It uses a hierarchical layout from D3.js v7 to position nodes, with `d3.hierarchy()` and `d3.tree()` computing the structure. Links are drawn as horizontal paths via `d3.linkHorizontal()`, while node markers vary by depth—diamonds, circles, rectangles, and stars—using `d3.symbol()`. Labels are placed adjacent to each node, with text-anchor adjusted for leaf versus parent nodes. Data is hardcoded in JavaScript, and the SVG renders on a pink background with purple accents.

93% match

ICE8-1

A hierarchical tree chart visualizes LinkedIn job postings by location and employment type. The data groups postings under Tech and Health sectors, branching into cities like New York and Los Angeles, then into full-time, part-time, internship, and contract roles. Using d3.hierarchy and d3.tree, the code renders an SVG with horizontal links via d3.linkHorizontal. Node shapes vary by depth using d3.symbol for diamonds and stars, plus circles and rectangles, colored distinctly. Labels display each node's name, with the root presented as a black diamond and city nodes as orange squares.

92% match

ICE8- Tree

This visualization shows a hierarchical tree of LinkedIn job postings, organized by companies (Crocs and Stealth), then by location (New York, Los Angeles, Austin, Chicago), and finally by employment type (full-time, part-time, internship, contract). The root node appears as a purple circle, company nodes as orange rectangles, location nodes as blue circles, and job types as green diamonds. The code uses d3.hierarchy and d3.tree() to compute the layout, then draws curved links with d3.linkHorizontal() and renders SVG shapes with appended text labels.