Map of India

India Map

This interactive map of India renders each state as a filled SVG path, with state names overlayed at their geographic centroids. The visualization uses D3's `geoMercator` projection and `geoPath` to generate the map geometry from a GeoJSON file containing `IND_adm1` administrative boundaries. Each state is colored using D3's `scaleOrdinal` with `schemeCategory10` palette, and hovering turns a state white. The vector data is processed through the TopoJSON library's `feature` function, with the map positioned and scaled via explicit projection translations.

AArun Pratap

India Map

This example displays a choropleth map of India’s states, with each state filled by a distinct color from d3’s `scaleOrdinal` and `schemeCategory10`. Using topojson data loaded from a remote GitHub repository, the code projects the geometry with `d3.geoMercator` and renders it as SVG paths via `d3.geoPath`. State names are positioned at each polygon’s centroid, while hover effects and a light pink stroke are defined in the accompanying CSS. The visualization relies on the D3 v5 library and topojson for geographic feature extraction.

NNithish Kumar

Map of India with D3

This example displays a choropleth map of India’s states, with each state filled by a categorical color and labeled with its name at the centroid. It loads TopoJSON data from a GitHub repository and renders it as SVG paths using `d3.geoPath` with a `geoMercator` projection. State names are drawn as SVG text elements positioned via `pathGenerator.centroid`. The code also applies `scaleOrdinal` with `schemeCategory10` for coloring and relies on the `topojson` library to convert the TopoJSON features.

NNita

India Map made ith D3

This choropleth map visualizes India’s states using D3 v5, with each state filled by a categorical color scale based on its name. A Mercator projection, configured with custom translation and scaling, renders the TopoJSON geometry as SVG paths, while state labels are placed at each path’s centroid. The code uses `d3.json`, `d3.geoPath`, `topojson.feature`, and a `scaleOrdinal` with `schemeCategory10`, with data loaded from a remote GitHub TopoJSON file.

TTusar

India Map made with D3

This example shows a choropleth map of India’s states, each filled with a distinct color from a categorical scale and labeled with its name. Built with D3 v5, it loads TopoJSON state boundaries and renders them as SVG paths using a Mercator projection via `d3.geoPath` and `geoMercator`. State names are placed at each path’s centroid, while `d3.scaleOrdinal` and `schemeCategory10` assign colors.

TTusar

Map of India with D3 - chloropleth map

This choropleth map of India colors each state using D3’s `scaleOrdinal` and `schemeCategory10`, with state names placed at the centroid of each polygon via `geoPath.centroid`. It uses the `geoMercator` projection, `topojson.feature` to parse India’s states from a TopoJSON file, and renders SVG paths with black strokes between states. The map loads data from a remote TopoJSON source and appends interactive tooltips using SVG `<title>` elements.

RRavi Teja Bonam

IndiaMap

This example renders a choropleth map of Indian states, with each state filled by a categorical color and labeled with its name. It uses D3 v5’s `geoMercator` projection and `geoPath` to convert TopoJSON geometries into SVG paths, while `scaleOrdinal` and `schemeCategory10` assign colors. State boundaries are emphasized with white strokes, and hovering turns a state white. Data comes from a remote TopoJSON file, and the map is displayed within a fixed-width SVG on a teal gradient background.

VVamsi Krishna

India Map Country

This example displays a choropleth map of Indian states, rendered as orange-highlighted SVG paths on hover. It uses d3.json to load a TopoJSON file of India’s administrative boundaries, converts it to GeoJSON via topojson.feature, and projects it with d3.geoMercator and fitExtent. The d3.geoPath generator draws each state, while state names are placed using path.centroid. The map fills the viewport with skyblue polygons and black strokes, and a bold title labels the visualization.

Nnsatyaprakash22