SANKEY Experiment

Sankey Final

A Sankey diagram maps the nationalities of FIFA 19 players to the football clubs they play for, with link thickness representing the number of players per nationality-club pair. The visualization uses the D3.js library, specifically the d3-sankey plugin for layout, and renders nodes and links as SVG elements. Data is loaded from a local CSV file, colors are assigned via d3.scale.category20, and interactive node dragging is enabled through d3.behavior.drag.

SSitanshu Rupani

91% match

Dashboard - Final Project - FIFA 19 Dataset

This dashboard explores the FIFA 19 dataset, integrating a world map with bubble markers, a Sankey diagram, and a scatterplot to reveal player distributions. The map uses `d3.geoNaturalEarth1` and `d3.geoPath` with topojson data, scaling circle radii by player count. The Sankey chart, built with the `d3.sankey` layout, visualizes flows from nationality to club. The scatterplot displays player overall rating against wage, supporting brush-based selection to highlight individual players.

SSitanshu Rupani

78% match

SANKEY Experiment

This is a Sankey diagram that visualizes the flow of values between named nodes, with the source and target data loaded from an external CSV file. The diagram uses the `d3-sankey` extension library on top of d3.v6, with nodes rendered as colored rectangles and links as semi-transparent black paths with widths proportional to their values. The code explicitly formats numbers and applies a categorical color scheme using `d3.scaleOrdinal`, while interactive hover states on links increase their opacity. Rendered as SVG, the visualization includes node labels and tooltips via `title` elements.

78% match

SANKEY Experiment

This Sankey diagram visualizes flows between named entities using d3.js v4, with data loaded from an external CSV file containing only source, target, and value columns. The chart uses the d3.sankey plugin to compute node positions and link thicknesses, rendering nodes as colored rectangles with labels and links as curved paths whose stroke width encodes flow magnitude. Hovering over a link or node reveals the exact quantity in "Widgets" via a tooltip. Nodes are draggable, and the layout dynamically recalculates link paths on drag. The example, based on D3 Tips and Tricks v4, demonstrates how to transform raw tabular CSV data into a Sankey diagram with minimal preprocessing, using d3.nest to deduplicate nodes and d3.drag for interactivity.

JJoePlant

77% match

SANKEY Experiment

This example uses a Sankey diagram to visualize the flow of values between five nodes, with links showing the quantity transferred from each source to its targets. The diagram is rendered as an SVG using d3.v7 and the d3-sankey plugin v0.12.3, with node rectangles colored using d3.scaleOrdinal and d3.schemeCategory10. Link thickness encodes the flow value, and hovering highlights the links. Data is loaded from a static JSON file (sankey.json) containing the node and link definitions.

SANKEY Experiment

This visualization demonstrates a Sankey diagram using D3.js v5, displaying flows between nodes with width-proportional links. Built with SVG, it renders colored rectangles for nodes and semi-transparent black curves for links, with interactive drag-and-drop repositioning that triggers smooth link updates. The diagram, titled “SANKEY Experiment,” loads its data from an external JSON file and includes hover tooltips showing source, target, and value. The code adapts a D3 v4 block by d3noob and uses the custom sankey.js layout module to compute node positions and link paths, with a units label of "Widgets" and a color scale from d3.schemeCategory10.

GGerardoFurtado

SANKEY Experiment

A Sankey diagram visualizes the flow of quantities between five nodes, with node colors distinguishing categories and link thickness representing value. The diagram supports interactive dragging of nodes in both axes, recalculating link paths during movement. Built with D3 v4, it uses the d3.sankey plugin for layout and d3.drag for interaction. Data comes from a static JSON file, and the SVG rendering includes hover tooltips showing source, target, and formatted values in "Widgets" units.

SANKEY Experiment

This example shows a sankey diagram built with D3 v7 and the d3-sankey module, using SVG rendering. It loads link data from an external CSV file, where each row defines a source, target, and value, then converts text labels into numeric node indices for the layout. The visualization displays named nodes and flowing links with widths proportional to values, using `d3.sankey()` and `d3.sankeyLinkHorizontal()` for positioning. Node colors come from a categorical scale, and hover effects adjust link opacity.