Hashing Points

Hexagonal Binning (Area)

Two thousand normally distributed random points are aggregated into hexagonal bins, where the area of each hexagon encodes the number of points it contains. The visualization uses the `d3-hexbin` plugin’s `d3.hexbin()` to bin the data and `hexbin.hexagon()` to generate the SVG path for each bin, with `d3.scaleSqrt` mapping bin counts to radius. Axes are drawn with `d3.axisLeft` and `d3.axisBottom`, and the rendering is clipped to the plotting area via an SVG `clipPath`.

68% match

Hexagonal Binning (Color)

This visualization uses hexagonal binning to show the distribution of 2,000 randomly generated points with a normal distribution. The d3-hexbin plugin aggregates points into hexagons, and a sequential color scale from white to steelblue encodes the number of points within each bin, with denser areas appearing darker. The SVG rendering includes clipped hexagon shapes and axes generated with d3.axisLeft and d3.axisBottom. The code draws on d3.randomNormal for data generation and d3.scaleSequential for color mapping.

68% match

Hexagonal Binning

This example demonstrates hexagonal binning, aggregating 10,000 randomly generated points from `d3.randomNormal` into a grid of hexagons using the `d3-hexbin` plugin for D3 4.0. Each hexagon’s fill color reflects the local point density via a sequential `d3.scaleSequential` with the `d3.interpolateMagma` color scheme. The SVG rendering includes white hexagon strokes for visual separation, plus top and left axes built with `d3.axisTop` and `d3.axisLeft` on identity scales.

68% match

U.S. Counties TopoJSON Mesh

This example renders a minimalist map of U.S. counties using a TopoJSON mesh from the U.S. Census Bureau’s shapefile, served via the `us-10m.v1.json` file. The SVG visualization displays county boundaries as thin black lines with rounded joins, and overlays small circles at each arc’s starting point, revealing the topological structure of the data. The code uses `d3.geoPath` to project the mesh and `topojson.mesh` to extract boundaries, while `topojson.transform` positions the circles. Rendering is entirely SVG-based with D3 v4, and the map uses no fill, focusing purely on geometric outlines.

Fuzzy Counties

The example draws a diagonal line across the bounding box of every U.S. county, creating a dense, cross-hatched pattern over the nation. Using `d3.geo.bounds`, it computes each county’s geographic extent and maps those bounds to projected coordinates via `d3.geo.path` with an Albers USA projection. The results are rendered as a single `MultiLineString` in SVG, built from TopoJSON county data. The visualization highlights the irregular shapes and varying sizes of county boundaries through the intersecting diagonals.

U.S. Counties TopoJSON Mesh

This example displays a mesh of U.S. county boundaries derived from a TopoJSON shapefile, rendered as a black outline with small circles marking each polygon’s coordinate origin. It uses d3.json to load the TopoJSON data, then topojson.mesh and topojson.transform to build the mesh and map coordinates. The outline is drawn with d3.geoPath, while circles are positioned using the transform function, showing the raw geometry structure rather than a filled choropleth. The data comes from the U.S. Census Bureau via the us-10m.v1.json file, and the visualization renders entirely in SVG.

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Paint by Numbers II

This interactive map of U.S. counties lets users paint each county with one of nine colors, with selections shared via a URL hash. Dragging across the map assigns colors, while clicking the legend or pressing number keys switches the active color. Built with D3 v3 and TopoJSON, the visualization uses `d3.geo.albersUsa` for projection, `d3.behavior.drag` for painting, and merges colored counties into SVG paths via `d3.geo.path`. County boundaries are rendered as a mesh, with a background stroke and interactive foreground paths.

Merging Counties III

This stress test visualizes a random subset of US counties, merged and colored via TopoJSON’s `topojson.merge` API. It shows a constantly cycling animation where new merged polygon groups fade in, highlight with distinct category colors, and fade out. The example uses D3.v3, `d3.select`, `d3.json`, and an AlbersUSA projection to render SVG paths. The underlying data source is a raw JSON file of US geometries from a gist.