Skip to main content
SimilarExport ZIP
100%

Tree graph

✓ Published0🌍 Public
Rrobertotienonyaranga@gmail.com
Last edited Apr 2, 2024
Created on Apr 2, 2024
Forked from ICE8-Tree graph

A tree graph visualizes a hierarchy of COVID-19 data, displaying cumulative confirmed cases, deceased, and recoveries for countries grouped by continent, with each leaf node labeling the specific metric and its value. The static SVG rendering relies on the d3.tree() and d3.hierarchy() APIs to compute the tree layout based on the provided data structure, using node circles, text labels, and connecting links styled via CSS.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Tree graph

This example shows a hierarchical tree visualization of COVID-19 data, with a global root branching into continents, countries, and leaf nodes for cumulative confirmed cases, deaths, and recoveries. It uses the D3.js library, specifically the `d3.hierarchy` constructor and `d3.tree` layout, to compute node positions and render an SVG with styled circles and links. The data is embedded directly in the JavaScript, with each country node carrying a numeric value and color attributes that are not visualized further in the displayed output.

Cchamarthisreenivasvarma@gmail.com
92% match
Loading thumbnail…

Tree graph

This tree visualization displays COVID-19 statistics by region, from the global root down to individual countries and their cumulative confirmed cases, deaths, and recoveries. The example uses D3 v7’s `d3.tree()` layout and `d3.hierarchy()` to position nodes in a hierarchical structure within an SVG. Leaf nodes carry named values such as “Cumulative Confirmed Cases - 150000,” while branch nodes group continents and countries. The code assigns data-driven properties like `type` and `level` to each node, though the visible rendering draws nodes as white circles with steelblue strokes and gray linking paths.

Cchamarthisreenivasvarma@gmail.com
91% match
Loading thumbnail…

Fork of ICE8-Tree graph

This example visualizes COVID-19 statistics as an interactive tree graph, showing cumulative confirmed cases, deaths, and recoveries for several countries organized by continent. The hierarchy is computed using `d3.hierarchy` and laid out with `d3.tree`, a treemap layout algorithm that positions nodes based on their hierarchical relationships. Nodes are rendered as filled circles with descriptive text labels, while curved paths connect parent and child nodes. The data is embedded directly in the JavaScript source rather than loaded from an external file.

Vvinodreddysagam929@gmail.com
87% match
Loading thumbnail…

Fork of ICE8-Tree graph

This example shows a hierarchical tree visualization of COVID-19 data, with branches for continents, countries, and leaf nodes displaying cumulative confirmed cases, deaths, and recoveries. The graph uses a standard d3.tree layout with SVG rendering, where nodes are circles connected by curved links and labeled with country names. The code defines the data structure manually, applies d3.hierarchy to nest the data, and uses d3.tree().size() to compute node positions. Styling is applied through CSS classes for nodes and links, with the visualization rendered inside an SVG container.

AAnkit Kaushal
85% match
Loading thumbnail…

ICE8-Tree graph

This tree visualization displays hierarchical COVID-19 data, starting from a global root and branching into regions like Europe, North America, and Africa, then into individual countries, and finally into cumulative confirmed cases, deaths, and recoveries for each. The structural layout is generated using D3’s `d3.tree` and `d3.hierarchy` APIs, which compute node positions based on the nested data. Each node is rendered as a circle with a label, and parent-child connections are drawn as simple links. The visualization is built using SVG within a static HTML page, as defined in the provided `index.html` and `index.js` files.

Ppilliprathimarani@my.unt.edu
84% match
Loading thumbnail…

Fork of ICE8-Tree graph

This example shows a hierarchical tree visualization of COVID-19 data, organizing global regions (Europe, North America, Africa) into countries and their respective cumulative case, death, and recovery statistics. Each node is represented as a circle with text labels, connected by gray links, and rendered as scalable vector graphics (SVG) using the D3.js v7 library. The code constructs the tree layout using the `d3.tree()` and `d3.hierarchy()` functions, and applies custom CSS for node styling. Data is hardcoded within the JavaScript, and the visualization is created by declaring an SVG element when one does not already exist.

Cchamarthisreenivasvarma@gmail.com
84% match
Loading thumbnail…

Untitled

This example visualizes a hierarchical tree of COVID-19 data, showing confirmed cases, deaths, and recoveries across continents and countries. The tree layout uses d3.tree to position nodes, with SVG circles and text labels for each location. Hovering over a node triggers a tooltip displaying the specific statistics. The visualization uses d3.v5 and React, with an animated tree structure that renders the data in a clear, drill-down format.

Pphemmati
84% match
Loading thumbnail…

Tree Graph

A hierarchical tree graph visualizes relationships among three countries, their health categories, and specific diseases. It uses a static, hand-coded dataset with India, France, and Brazil, each branching into two categories like Infectious or Respiratory, which further split into two diseases each. The code uses the d3.hierarchy and d3.tree layouts to compute node positions, and d3.linkVertical for curved link paths. Rendered as an SVG, circles and labels are color-coded by depth—orange for country, light blue for category, and light green for disease—with a legend clarifying the mappings.

Aamalli7433@gmail.com
83% match