May 4 in class

May 6

A choropleth map of Maryland census tracts colors each area by population density using a red-orange sequential scale, with white county boundary lines overlaid. A yellow draggable circle marks Rockville, and moving it updates a tooltip displaying its current location. Built with D3 v4, it uses `d3.geoConicConformal` projection, `d3.geoPath`, `d3.scaleThreshold`, `d3.schemeOrRd`, and `d3.drag` for interaction. Population and tract data are loaded as JSON files, and the SVG rendering uses a steel-blue background.

May 6

May 8 test

This choropleth map of Maryland census tracts visualizes population density using a color scale based on D3’s `d3.scaleThreshold` and `d3.schemeOrRd`. Tract boundaries are drawn with `d3.geoPath` and a conic conformal projection, while county outlines are generated via `topojson.merge`. A yellow draggable circle, positioned over Rockville, uses D3’s drag behavior to update a tooltip that displays the county name under the cursor. Population data comes from a JSON file joined to tract features by FIPS codes.

May 5

This visualization displays population density across Maryland census tracts using a choropleth map, with color thresholds from d3.scaleThreshold and d3.schemeOrRd. It renders SVG paths via d3.geoPath with a geoConicConformal projection, loading TopoJSON census tract boundaries and a population dataset through d3.queue. County outlines are drawn from merged geometries. A draggable yellow circle marks Rockville, repositioning via d3.drag, while hovering shows the county name in a tooltip using d3.geoContains to test point-in-polygon.

county names May 5

This example displays a choropleth map of Maryland census tracts colored by population density using a threshold scale with the d3.schemeOrRd color scheme. It uses d3.geoConicConformal projection, d3.geoPath, and topojson to render tract and county boundaries. A yellow draggable circle initially positioned at Rockville, MD, uses d3.drag to update its position and reveal the containing county name in a tooltip via d3.geoContains and projection.invert. The population data is loaded from external JSON files.

92% match

Final Project Map

This choropleth map displays population density for Maryland census tracts, with counties outlined in white and Rockville marked by a yellow circle. Built with D3 v4, it uses `d3.geoConicConformal` projection, `d3.geoPath`, and TopoJSON to render tract boundaries and county merges. A `d3.scaleThreshold` with the `d3.schemeOrRd` color ramp encodes density, while a tooltip shows county names and an interactive circle supports dragging. Population data comes from a JSON file, with tract areas calculated from `ALAND` in square miles.

91% match

Final Project Map

This map visualizes population density across Maryland’s census tracts and counties, using a color scale from d3-scale-chromatic to show density values. The map also includes a draggable yellow circle marking Rockville, MD, whose position can be moved via d3.drag. The visualization loads TopoJSON tract boundaries and a separate population JSON, merges tracts into county outlines with topojson.merge, and projects the geometry using d3.geoConicConformal with fitSize. A tooltip shows coordinates on mousemove, while the SVG rendering relies on d3.geoPath and d3.queue.

91% match

May 11 Maryland

This interactive map of Maryland highlights population density by census tract, with a draggable marker for Rockville and a small pie chart overlay. The map uses a conic conformal projection and color-coded tracts via a threshold scale, transitioning from light to dark oranges. Census tract boundaries are drawn, while county outlines are merged from tract geometries. The visualization is built with D3 v4, TopoJSON, and d3-scale-chromatic, and displays tooltip and pop-up information on demand.