SANKEY Experiment

SANKEY Experiment

This Sankey diagram visualizes global greenhouse gas emissions from 2005 using data sourced from the World Resources Institute, showing the flow of emissions from energy, industrial processes, and land use change through intermediate sectors to specific gases. The diagram uses d3.v5 with a custom `d3.sankey` layout, rendering nodes as draggable SVG rectangles and links as curved paths with stroke widths proportional to flow values. Node positions update interactively through `d3.drag` and `sankey.relayout()`.

92% match

SANKEY Experiment

This sankey diagram visualizes greenhouse gas emissions, showing flows from energy and industrial sources to various sectors and ultimately to specific gases like carbon dioxide and methane. The interactive visualization is built with D3.js v3, using the custom `d3.sankey` layout to position nodes and compute link paths. Users can drag nodes to rearrange the diagram, with the `sankey.relayout` method updating link curves in real time. The data comes from a JSON file describing emission sources, intermediate sectors, and final greenhouse gas outputs.

BBhavyatulasi

91% match

SANKEY Experiment

This interactive Sankey diagram visualizes global greenhouse gas emissions for 2005, sourced from the World Resources Institute, by showing the flow of emissions from energy, industrial processes, agriculture, and land-use change to specific gases like carbon dioxide, methane, and nitrous oxide. Built with the `d3.sankey()` plugin, it uses draggable, colored nodes and curved, semi-transparent links with hover titles to display quantities. The code customizes node width, padding, and layout iterations, and implements custom drag behavior via `d3.behavior.drag()` to reposition nodes and trigger `relayout()` for dynamic link updates.

SANKEY Experiment

This Sankey diagram visualizes world greenhouse gas emissions from 2005, using data from the World Resources Institute. It displays energy sources, end-use sectors, and resulting gases as nodes, with link widths representing emission quantities. Unlike typical Sankey diagrams, users can drag nodes both horizontally and vertically, with `d3.behavior.drag` triggering `sankey.relayout()` to recompute link paths in real time. The visualization is rendered as SVG using D3.js 3.5.17 and a custom `d3.sankey` plugin, with node colors assigned via `d3.scale.category20()`.

SANKEY Experiment

This Sankey diagram visualizes global CO2 emissions flows from energy sources like coal, oil, and gas to continents and then to specific countries, with link widths proportional to emission values in Mt CO2. The colored nodes group geographic regions and highlight country-level detail. After d3.sankey computes the initial layout, a custom manualLayout function overrides the y-position of selected nodes using a predefined array. The visualization uses D3 v3 with SVG rendering, reading data from an external emissions.json file, and implements drag-and-drop node interaction.

KKatiRG

SANKEY Experiment

This example presents a Sankey diagram visualizing greenhouse gas flows, with nodes representing sectors like Energy and Agriculture, and links showing the distribution of gases such as Carbon Dioxide and Methane. Built with React and rendered as SVG, it uses the D3.js library’s custom `d3.sankey` module to handle layout and the `d3.behavior.drag` functionality for node interactivity. The chart’s unit is "Widgets," and the data is pulled from a JSON file.

Mmynameiskris

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

86% 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.