Fork of Fork for plotting tree

100%

Fork of Fork for plotting tree

✓ Published0🌍 Public

Last edited Apr 3, 2024

Created on Apr 3, 2024

This example displays a hierarchical tree visualization of hospital emergency room data, organized by department referral and showing individual patient details. Using D3.js v7, it fetches CSV data from a GitHub repository, transforms the flat records into a nested structure, and renders the result as an SVG tree layout. The visualization employs `d3.csv`, `d3.hierarchy`, and `d3.tree` to position nodes, with `d3.linkHorizontal` generating curved links between parent and child elements. Each patient node branches into leaf nodes for attributes like gender, age, date, and wait time.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Fork of ICE-8 Tree graph

A hierarchical tree visualizes hospital emergency room records, grouping patients by department referral and displaying each patient’s date, gender, and age as leaf nodes. The code loads CSV data via `d3.csv`, transforms it into a nested structure, and renders an SVG using `d3.tree`, `d3.hierarchy`, and `d3.linkHorizontal` for curved links.

BBavya Vemulapalli

90% match

Loading thumbnail…

Fork of ICE-8 Tree graph

This example visualizes hospital emergency room patient data as a hierarchical tree graph, grouping patients by department referral and showing attributes like date, gender, and age for each individual. The visualization uses D3.js version 7 with the `d3.tree()` layout and `d3.hierarchy()` to structure the data loaded from an external CSV file. Nodes are rendered as white circles with steelblue strokes, connected by gray curved paths generated using `d3.linkHorizontal()`, with text labels positioned based on whether each node has children. The SVG rendering includes custom CSS styling for the nodes and links.

BBALAJI MANDAVA

88% match

Loading thumbnail…

Fork of ICE-8 Tree graph

This example shows a hierarchical tree graph of hospital emergency room data, organized by category and hospital, with nested nodes for location and bed count. The visualization uses D3.js v7 with an SVG renderer, applying a tree layout with horizontal links and distinct node shapes—ellipses, rectangles, and circles—based on depth. Data is loaded from an external CSV file via d3.csv, and the tree structure is built and rendered using d3.hierarchy and d3.tree().

BBALAJI MANDAVA

87% match

Loading thumbnail…

Fork of ICE8-Tree graph

This tree graph shows the hierarchical structure of hospital ER data, grouping patients by date, patient ID, gender, age, satisfaction score, name initials, race, admin flag, and wait time. It loads CSV data from a GitHub repository and uses `d3.csv` to parse it, then `d3.hierarchy` and `d3.tree` to lay out the nodes. Links are drawn with `d3.linkHorizontal`, while SVG circles and text labels render each node. The data is transformed into a multi-level nested structure before rendering, displaying the full branching relationship across all categories.

BBALAJI MANDAVA

85% match

Loading thumbnail…

Fork of ICE-8 Tree graph

This visualization shows a hierarchical tree of hospital job data, including job categories, job titles, salaries, and locations. It is rendered using D3.js v7 and displays nodes as ellipses, rectangles, and circles based on their depth in the hierarchy. The code fetches data from a remote CSV file, transforms it into a tree structure, and uses D3's `d3.tree()`, `d3.hierarchy()`, and `d3.linkHorizontal()` APIs to create the graph.

BBALAJI MANDAVA

83% match

Loading thumbnail…

Fork of Example

A collapsible D3 tree diagram visualizes the hierarchical relationships within a dataset on hip replacement rankings, organized by country, city, institution, and expert. The visualization uses a tidy tree layout calculated with `d3.tree()` and rendered with SVG paths. Data is loaded asynchronously from a CSV file via `d3.csv`, then processed into a nested tree structure. The hierarchy is built with `d3.hierarchy()`, and nodes use `d3.linkHorizontal()` for curved connecting links, with animations for collapsing and expanding branches.

AAkramjon1995

83% match

Loading thumbnail…

Fork of Example

This example shows a hierarchical tree visualization of hip replacement experts, organized by country, city, and institution, based on data loaded from a remote CSV file. The tree uses a collapsible layout where nodes represent each level of the hierarchy, with the root labeled "Hip Replacement" and branches extending to countries, cities, institutes, and individual experts. Built with D3 v7, it uses `d3.csv` for data loading, `d3.hierarchy` and `d3.tree` for layout, and `d3.linkHorizontal` for rendering the curved links in SVG. The code processes the data by filtering unique values for each category and sorting by rankings before constructing the nested tree structure. The visualization is animated, with a dark blue background styling applied to the page body.

Vvivaciousbharath

82% match

Loading thumbnail…

Fork of Fork of Fork of Tree

A single patient record from the cardio_train.csv dataset forms a small hierarchical tree, with the cardio status as the root and eleven other attributes—age, gender, height, weight, blood pressures, cholesterol, glucose, and lifestyle flags—as leaf nodes. The visualization uses D3.js v6 with a tree layout, rendering nodes as colored circles and connecting them with horizontal links. The code reads the semicolon-delimited file via `d3.dsv`, converts coded values to readable text, and maps the data into a hierarchy using `d3.hierarchy` and `d3.tree`.

Ffreyatran124@gmail.com

82% match