Skip to main content
SimilarExport ZIP
100%

Accidents on the Road - Choropleth

✓ Published0🌍 Public
KKrishu
Last edited Aug 25, 2020
Created on Aug 25, 2020

This visualization presents a choropleth map of road accident deaths across Russian regions, with color-coded polygons indicating mortality rates and city markers overlaid on major population centers. Hovering over a region reveals its name and death count via a tooltip. The map is rendered using D3 v3’s `d3.geo.albers` projection and `d3.geo.path` on topojson data, while a `d3.scale.threshold` maps death values to a green-to-red color scale. Accident statistics come from a CSV file, and city coordinates are loaded from a TSV file.

AI-generated description

A bare minimum HTML page.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

Accidents on the Road - Choropleth

This choropleth maps road accident deaths across Russian regions, using a threshold color scale from light green to dark red, and includes interactivity where hovering highlights a region and displays its name and fatality count on a tooltip. It also plots major cities as points and includes a vertical legend. Built with D3.js v3, it uses the `d3.geo.albers` projection and `d3.geo.path` to render the map geometries from TopoJSON, while `d3.csv` and `d3.tsv` load the accident and city data, and SVG shapes, transitions, and the `d3.select` API handle the visualization and mouseover effects.

TTaustus
96% match
Loading thumbnail…

Accidents on the Road - Choropleth

This choropleth map visualizes road accident deaths across Russian regions for 2012, using a threshold color scale to differentiate mortality rates per region. It shows a hover tooltip displaying the region name and death count, alongside labeled city markers. The visualization is built with D3 v3, using `d3.geo.albers` projection, `d3.geo.path`, and `d3.scale.threshold` for coloring, with SVG rendering and animated transitions for hover effects. Data comes from a CSV file and a TopoJSON map, with city coordinates from a TSV file.

KKoGor
96% match
Loading thumbnail…

Accidents on the Road - Choropleth

This choropleth map visualizes road accident data across Russian regions, coloring each region according to a normalized value using a per-region threshold scale with custom color domains. The visualization includes city markers and a legend, with tooltips showing regional names and values on hover. Built with D3 v3, it uses `d3.geo.albers` projection, `d3.geo.path`, and TopoJSON to render geographic boundaries, while data from a CSV file drives the color assignments via `d3.scale.threshold`. The map also handles missing region data by mapping certain administrative codes to equivalent values.

HHui Zhang
95% match
Loading thumbnail…

Accidents on the Road - Choropleth

A choropleth map of Russia colors each federal region according to the rate of car accidents per capita, using a threshold scale with ranges like low, medium, and high. Hovering over a region highlights it and reveals a tooltip with the region’s name and value. The visualization also labels major cities with circles. Built with D3 v3, it uses `d3.geo.path`, `d3.geo.albers`, and TopoJSON for map rendering, while reading data from CSV and TSV files.

TTaustus
93% match
Loading thumbnail…

Accidents on the Road - Choropleth

This choropleth visualizes road accident data as a map of regions, colored by the number of incidents. The map shows geographic patterns of accident frequency, with darker shading indicating higher counts. Built with React and D3 v5, it uses `d3.csvParse` to load the input data and `topojson` to render the geographic boundaries. The `d3.geoPath` generator draws the region shapes, while a color scale encodes the accident values. A legend and tooltip provide context, with the tooltip appearing on hover to display the region’s specific accident count. The rendering uses SVG paths with styling defined in CSS.

TTaustus
88% match
Loading thumbnail…

Untitled

This interactive bar chart displays road accident statistics across police stations, with a dropdown menu to switch between different data columns such as fatalities, injury severity, collision types, and day of the week. Built with D3 v3 and React, the visualization uses `d3.scale.ordinal` for the x-axis, `d3.scale.linear` for the y-axis, and SVG rectangles that smoothly animate via `transition().ease()` when the selected metric changes. Data is loaded from a CSV file, and hover tooltips reveal exact values per station.

Aachintyatripathi
74% match
Loading thumbnail…

Untitled

This interactive bar chart displays road accident statistics across eight police stations in the Ropar district, using data from a CSV file. A dropdown menu lets the user select different variables, such as fatalities by severity, day of the week, vehicle type, or collision type, and the bars update with smooth transitions. The visualization uses D3 v3 with an ordinal x-scale and linear y-scale to map police stations and case counts, while hovering over a rectangle highlights it and shows a tooltip with the station name and value.

Aachintyatripathi
73% match
Loading thumbnail…

D3: GeoEarth

A choropleth world map visualizes 2019 death rates from brain and central nervous system cancer by country, using an orange-to-red sequential color scale. The map is rendered with `d3.geoPath` and `d3.geoNaturalEarth1` projection, with country boundaries from World Atlas TopoJSON. React manages state for data loading via `d3.csv` and a custom hook, while hover interactions append tooltip text. A legend built with SVG rectangles shows the color scale’s domain, and the code uses `d3.scaleSequential` with `interpolateYlOrRd` for color encoding.

Ssowmyanagula@my.unt.edu
72% match