KoreaMap

100%

✓ Published0🌍 Public

Last edited Mar 9, 2023

Created on Mar 9, 2023

This example displays a choropleth map of South Korea’s provinces, rendered as SVG paths. The visualization uses d3.geoMercator and d3.geoPath to project and draw the geographic features, while React manages the component structure. Data is loaded from a TopoJSON file via d3.json and processed with topojson.feature. Static styling defines the map’s stroke and fill colors. The visualization waits for data to load, showing a loading message until the map is ready.

AI-generated description

A scatter plot of Data Canvas Sense Your City Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

country map

This choropleth-style map displays the regions of South Korea, with each province filled in coral and separated by black boundary lines. The visualization uses a React front end with D3’s geoNaturalEarth1 projection and geoPath to render the geographic shapes from a TopoJSON file. Data is fetched via d3.json and processed with topojson.feature and topojson.mesh, and the map is drawn as inline SVG elements.

JJasvitha Allamsetty

90% match

Loading thumbnail…

world map

This example visualizes the country of South Korea as a shaded map on a blank SVG canvas. It loads geographic data from the world-atlas TopoJSON dataset and uses the `topojson.feature` method to extract the country’s geometry. A `d3.geoMercator` projection fits the map to a 960×500 viewport via `fitSize`, and `d3.geoPath` renders the resulting polygon as a single dark path. The code demonstrates both external library imports via script tags and the basic D3 data-join pattern for drawing SVG shapes.

SSwapna1915

81% match

Loading thumbnail…

Worldmap

This example displays a map of South Korea using a Mercator projection fitted to the country’s geographic bounds. It loads world country boundaries from a TopoJSON file via `d3.json`, extracts the South Korea feature with `topojson.feature`, and renders it as an SVG path using `d3.geoPath`. The visualization also demonstrates VizHub’s ES6 module imports and D3 loading through UNPKG.

SSwapna1915

81% match

Loading thumbnail…

Activity 8 Country

This example displays a map of South Korea rendered as an SVG using D3 v5 and TopoJSON data from the world-atlas package. It extracts the country’s geometry with `topojson.feature`, fits a `d3.geoMercator` projection to the shape with `fitSize`, and draws the path via `d3.geoPath`. The code loads D3 from a CDN script tag and appends the map to the page body.

Hharipriyaa07

79% match

Loading thumbnail…

Swedish map

This example displays a choropleth map of Swedish counties using SVG paths generated from TopoJSON data. The visualization loads geojson features from a UK counties dataset and renders them with D3’s geoMercator projection and geoPath. Built with React, the map uses a custom `useData` hook to fetch and transform the topology, while the `Map` component iterates over features to draw each region. The code demonstrates ES6 module imports, D3 integration via UNPKG, and React state management for asynchronous data loading.

AAshrith Kudidhi

79% match

Loading thumbnail…

Activity 5_task 6(1)

This visualization displays a map of South Korea using a Mercator projection. The code loads world country geometries from a TopoJSON file, extracts the South Korea feature, and renders it as an SVG path. It uses `d3.geoMercator` and `d3.geoPath` to project and draw the map, with the data sourced from the `world-atlas` package. The resulting visualization shows just the country outline, fitted to the 960x500 pixel canvas.

KKeerthiAnnem

79% match

Loading thumbnail…

Map with React & D3

This example renders a choropleth map of India using React and D3. It displays state boundaries as SVG paths, filled with a teal color, against the full browser viewport. The map is projected using `d3.geoMercator` and drawn with `d3.geoPath`, while TopoJSON data is fetched from a remote gist and converted to GeoJSON via the `feature` function. React components manage the data loading lifecycle and render the SVG elements, with D3 handling the geographic calculations.

AAnimesh Nautiyal

78% match

Loading thumbnail…

map

This example displays a choropleth map of Swedish counties (laen) using geographic data from a TopoJSON source. The visualization renders province boundaries as filled shapes in a blue-teal color, with interior borders highlighted in green, all drawn through SVG paths generated by `d3.geoPath` and the `geoMercator` projection. Built with React and d3.v5, the code applies the projection’s `fitExtent` method to scale and position the map within the viewport. The map is populated using `topojson.feature` and `topojson.mesh` to extract geometries and internal boundaries from the fetched dataset.

Ppreethamkesa

78% match