CSV to JSON

Tree diagram from csv using v6

This tree diagram visualizes hierarchical data loaded from a CSV file, with nodes representing names and links showing parent-child relationships. The example uses d3.csv to load the flat data, d3.stratify to convert it into a hierarchy, and d3.tree to compute the layout. Nodes are rendered as circles with labels, while curved paths drawn via SVG path elements connect parents to children. The code also assigns CSS classes based on whether a node is internal or a leaf, adjusting text placement and styling accordingly.

74% match

csv fetching csv file and reading columns

This example demonstrates how to fetch a CSV file and read its columns using D3 v6. The visualization shows the structure of hierarchical data by applying the `d3.csv` method to load `data.csv`, which contains child–parent relationships. The code uses `d3.stratify()` to convert the tabular data into a hierarchical root node, with column names dynamically retrieved via the `d.columns` array. The resulting hierarchy is logged to the console but not rendered visually, focusing purely on data preparation and parsing.

NNita

73% match

Tree diagram from csv using v4

This tree diagram visualizes hierarchical data from a CSV file, showing parent-child relationships with labeled nodes connected by curved links. It uses D3.js v4’s `d3.tree()` layout and `d3.stratify()` to convert flat CSV data into a hierarchy, while `d3.hierarchy()` and `d3.selectAll()` render the SVG nodes and paths. The diagram highlights internal nodes with white circles and steelblue strokes, and positions text labels beside each node. The source data (`treeCsv.csv`) includes names, parents, and ages, though ages are not displayed. The code explicitly handles null parents and uses cubic Bézier curves for link paths.

CCBasis

Tree diagram from csv using v4

This tree diagram visualizes hierarchical data loaded from a CSV file, displaying nodes as white circles with steel-blue outlines connected by curved gray links. The visualization uses d3.v4's `d3.tree` layout, `d3.stratify` to convert flat parent-child records into a hierarchy, and `d3.hierarchy` to map the structure. Text labels appear beside each node, positioned differently for internal versus leaf nodes. The SVG rendering includes CSS styling for node circles, text shadows, and link strokes, following the D3 Tips and Tricks book example.

Tree diagram from csv using v5

A horizontal tree diagram visualizes a parent-child hierarchy loaded from a CSV file, showing five nodes across three levels from a single root. The D3.js v5 code uses `d3.csv` for data ingestion, `d3.stratify()` to convert the flat table into a hierarchy, and `d3.tree()` for layout. Nodes are rendered as SVG circles with text labels, while curved paths connect parent and child nodes using the `d3.hierarchy` API. The example demonstrates an update to D3 v5 with a simple, readable structure.

Tree diagram from csv using v7

This example shows a hierarchical tree diagram built from a CSV dataset, using D3.js v7. The diagram visualizes parent-child relationships, with nodes representing items like "Top Level" and "Level 2: A," connected by curved links. It uses the `d3.tree` layout, `d3.stratify` to convert flat CSV data into a hierarchy, and `d3.hierarchy` to map the structure. The SVG output positions nodes and draws the tree with circles and text labels, styled via CSS.

Tree Layout from CSV

A tree layout visualization reads hierarchical relationships from a CSV file with source-target pairs, such as A1 to A2 and A2 to A3. Using d3.v3, it dynamically builds nodes and links from the data, rendering a tidy tree where parent and child relationships are clearly shown through straight lines and small circles. The example specifically uses d3.layout.tree for node positioning and d3.svg.diagonal for link paths, with a white-stroked node style and black link lines. The SVG output displays a simple three-node chain, illustrating how a flat two-column CSV can be transformed into a structured tree diagram.

Mmbostock

71% match