assign 2.8: tree

100%

assign 2.8: tree

✓ Published0🌍 Public

Last edited Jul 18, 2023

Created on Jul 18, 2023

This visualization displays a hierarchical tree of employment sector categories, including government, private sector, and stock market nodes with subcategories like supply-demand and laborer. The code uses d3.tree and d3.hierarchy to compute the layout, then renders the structure as SVG text elements connected by d3.linkHorizontal paths. The dataset comes from data.json, and the visualization includes zoom functionality via d3.zoom. Nodes are de-duplicated and repositioned using underscore.js utilities, with the last root-level branch highlighted in steel blue. Transitions animate node movement using d3 transitions.

AI-generated description

An example showing the capabilities of VizHub:

Loads D3 via UNPKG.
Demonstrates use of import from "d3".
Demonstrates use of import from local ES6 modules.

MIT Licensed

Similar vizzes

Loading thumbnail…

Assign 2.7.1

This visualization displays a hierarchical organizational chart as an animated, collapsible tree. It categorizes the structure into government, non-profit, and private sectors, with color-coded nodes indicating different levels. The code uses D3’s layout tree and SVG rendering, with zoom and drag behavior, plus custom tooltips and link arrows. It also demonstrates ES6 module imports and loading D3 via CDN in a VizHub context.

Ppjdhungana@gmail.com

86% match

Loading thumbnail…

Tree2

This visualization presents a hierarchical tree of job listings grouped by work type (Full Time, Part Time, Contract, Internship), location, and job title. The d3.hierarchy and d3.tree layouts structure the data, which is rendered as an SVG using d3.linkHorizontal for curved links and distinct shapes for nodes at different depths. A legend clarifies the shape-to-category mapping. The data appears to be manually structured LinkedIn job information, with colors and symbols differentiating root, work type, location, and title levels.

Ppriyapravallika44@gmail.com

80% match

Loading thumbnail…

Tree 1

This visualization shows a hierarchical tree of job listings, grouped first by employment type (Full Time, Part Time, Contract, Internship), then by location, and finally by job title. The layout uses a horizontal tree structure where each node is a circle colored by depth, with text labels positioned to the left for parent nodes and right for leaf nodes. The code builds the tree using `d3.hierarchy`, layouts it with `d3.tree`, and renders links with `d3.linkHorizontal`. Node circles and text are appended as SVG elements, with colors assigned based on the node’s depth in the tree.

Ppriyapravallika44@gmail.com

79% match

Loading thumbnail…

Tree Example

This interactive tree diagram displays the hierarchical structure of a dataset, with nodes and links rendered using SVG and animated transitions. The visualization uses D3.js version 3, with the `d3.layout.tree` for layout and `d3.svg.diagonal` for curved links. Clicking nodes expands or collapses their children, with smooth transitions achieved through `transition.attr`. The static data is embedded in the code, and the example also includes a separate CSV file for population data, though it is not referenced in the visualization.

1123ATFake

78% match

Loading thumbnail…

Tree graph

This example shows a hierarchical tree graph of data job listings, grouping job titles by category and displaying salary and location details as leaf nodes. The visualization uses D3.js v7 with an SVG rendering approach, fetching CSV data from a GitHub gist and transforming it into a nested hierarchy. The tree layout (`d3.tree`) positions nodes with curved horizontal links (`d3.linkHorizontal`), while node shapes vary by depth—ellipses for the root, rectangles for category levels, and circles for leaf details. The CSV provides the underlying job data, which is subset to the first ten rows for display.

Ssatishnarne99@gmail.com

78% match

Loading thumbnail…

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.

Mmamathareddy1321@gmail.com

78% match

Loading thumbnail…

Fork of D3 Tree with Multiple Parents

This visualization shows a tree diagram with multiple parent nodes, where the U.S. Government and Stock Market both branch into shared child categories like Supply and demand, Foreign worker, Government, and Laborer. The code uses D3 v5’s `d3.stratify` to convert a flat CSV dataset into a hierarchical structure, then applies `d3.tree` layout and `d3.linkHorizontal` to draw the curved links between nodes. Text labels display each node’s name, with font size decreasing by depth, rendered as SVG inside a zoomable `<g>` group controlled by `d3.zoom`. The data is loaded asynchronously from a remote CSV file.

78% match

Loading thumbnail…

Tree graph

This interactive tree chart, titled “MY Tree ICE-8,” visualizes a hierarchy of tech layoffs categorized by continent, country, and company. The code uses the D3.js library (version 3.5.17) to construct the tree layout and render it as an animated, scalable vector graphic (SVG). D3’s `d3.layout.tree` and diagonal path generator create the node-link diagram, with distinct shapes and colors (circles, rectangles, and squares) for each hierarchy level. The visualization includes a legend explaining the shape mappings, and its interactive cursor styling suggests nodes can be clicked or hovered.

Cchamarthisreenivasvarma@gmail.com

78% match