Skip to main content
SimilarExport ZIP
100%

Tree 1

✓ Published3🌍 Public
Ppriyapravallika44@gmail.com
Last edited Apr 8, 2025
Created on Apr 8, 2025
Forked from graph

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.

AI-generated description
MIT Licensed

Similar vizzes

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
93% 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
86% match
Loading thumbnail…

Fork of tree

This fork of tree visualizes a job hierarchy using a horizontal tree layout, organizing positions by work type (HOURLY or YEARLY) and location, with leaf nodes representing specific job titles. The rendering uses D3 v7’s `d3.hierarchy` and `d3.tree` layouts, drawing SVG links via `d3.linkHorizontal` and nodes as distinct shapes—circles, rectangles, and diamonds—colored by depth. Node labels are positioned based on whether each node has children, and a legend clarifies the shape-color mapping.

Bbharathavulapati@gmail.com
84% match
Loading thumbnail…

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.

Mmamathareddy1321@gmail.com
82% match
Loading thumbnail…

ICE -8- Tree

This example displays a LinkedIn job posting hierarchy as a tree diagram, with root, category, location, and job-type levels. It uses D3.js v7 with a hierarchical tree layout and horizontal links. Nodes are rendered as distinct SVG shapes—diamonds, circles, rectangles, and stars—based on depth, with labels positioned relative to child presence. The code uses `d3.hierarchy`, `d3.tree`, and `d3.linkHorizontal`, with hardcoded data for cities and employment types.

Mmamathareddy1321@gmail.com
81% match
Loading thumbnail…

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.

Mmamathareddy1321@gmail.com
81% match
Loading thumbnail…

Fork of tree

This tree graph visualizes job roles from a CSV dataset, grouping entries by job category and showing each role’s title, salary, and location as leaf nodes. The layout uses d3.tree with vertical links, while node shapes vary by depth—ellipse for the root, rectangles for categories, and circles for details. The code fetches data via d3.csv and renders the hierarchy as an SVG using d3.hierarchy and d3.linkVertical.

Nnagasai.mandalapu@gmail.com
80% 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
80% match