county names May 5

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.

93% match

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 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 4 in class

This choropleth map of Maryland census tracts displays population density using a threshold scale with the sequential color scheme d3.schemeOrRd, with county boundaries outlined in red. It includes a draggable yellow circle representing Rockville, MD, whose movement is handled by d3.drag, and an HTML tooltip div is appended to the body. The map is rendered as SVG using d3.geoPath with a conic conformal projection, while population data comes from a separate JSON file joined to TopoJSON tracts. A color legend is built with d3.axisBottom and a power scale.

name counties May 6

This map of Maryland shows population density per census tract using a color scale from light to dark red, overlaid with white county boundaries and a draggable yellow circle representing Rockville. Users can drag the circle, which reveals a tooltip displaying the county name beneath the pointer. The visualization uses d3.geoPath with a conic conformal projection, d3.scaleThreshold and d3.schemeOrRd for coloring, topojson for tract boundaries, and d3.drag for the interactive circle. Population data comes from a JSON file, and county FIPS codes from a CSV.

90% match

Make a map with MD Counties

This map of Maryland shows census tracts colored by population density using a threshold scale and the d3.schemeOrRd color scheme, with the boundary of Allegany County outlined. A draggable yellow circle, positioned initially at Rockville, displays a tooltip naming the tract under the cursor. Built with D3 v4, it uses d3.geoConicConformal projection, d3.geoPath for rendering, and d3.drag for interaction, loading TopoJSON tract boundaries and population data from a gist.

89% match

MD Counties

A choropleth map of Maryland counties colors each county by population density using a threshold scale and the d3.schemeOrRd color scheme, with county boundaries derived from a TopoJSON file. Hovering over a county highlights it with a thicker stroke, displays its name, population, land area, and density in an info box, and renders a small pie chart using d3.pie and d3.arc showing the county's population, land area, and density. The map uses a d3.geoConicConformal projection, along with topojson-client to parse geographic data and d3-scale-chromatic for colors.