Easiest way of making a 'Map of India', data from Kaggle

Fork of Easiest way of making a 'Map of India', data from Kaggle-2

This example renders a choropleth-style map of India, displaying state boundaries and state names on a blank SVG canvas. It uses D3.js to fetch a GeoJSON file of India’s states and a CSV of election data, though the CSV is only logged to the console. The map is drawn with `d3.geoMercator()` projection and `d3.geoPath`, with each state filled in teal and labeled via the path’s centroid. The code relies on d3.csv and d3.json for asynchronous data loading.

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Fork of Fork of Fork of Easiest way of making a 'Map of India', data from Kaggle-2

This choropleth map of India colors each state according to the leading political party from the 2024 election data, with a legend mapping party names to colors. The visualization loads a GeoJSON file and merges it with CSV election results, then projects the shapes using `d3.geoMercator` and renders them with `d3.geoPath`. State labels are placed at path centroids, and a legend is appended with SVG rectangles and text. The code uses D3.js v7 and TopoJSON to fetch and process the geographic and tabular data.

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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.

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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

85% match

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

Fork of Map of India with D3 - chloropleth map

This example shows a choropleth map of India’s states, with each state filled by a categorical color scale and labeled by name at its centroid. The visualization uses D3 v5’s `geoMercator` projection, `geoPath`, and `scaleOrdinal` to render the SVG paths. TopoJSON data from a remote GitHub source is parsed with `feature` to draw state boundaries, while state names are positioned using `pathGenerator.centroid`. The map omits the first feature from the dataset, likely removing a national outline or disputed region.

GeoVisualization - Choropleth map of India

This example displays a choropleth map of India, rendering its states and major places as an interactive SVG graphic. It uses a Mercator projection via `d3.geoMercator` and `d3.geoPath` to draw TopoJSON features representing state polygons and city points. State subdivisions are filled with a categorical `d3.scaleOrdinal` color scheme at reduced opacity, while labels for each state and place are positioned using `path.centroid` and the projection of coordinates. The map automatically centers and scales to fit the viewport using geographic bounds. Data comes from a remote TopoJSON file, and the code updates an earlier D3 v4 implementation to D3 v7.

AAlark Joshi

Aachyutanandmishra17@gmail.com

India Map

This example displays a choropleth map of Indian states, colored with a categorical color scale and labeled with state names positioned at each region's centroid. It renders SVG paths using `d3.geoPath` with a `geoMercator` projection, and loads GeoJSON data via `d3.json` from a public gist. State boundaries are styled with orange strokes, and tooltips appear on hover via appended `title` elements. The visualization uses `scaleOrdinal` with `schemeCategory10` to assign colors to each state based on its `NAME_1` property.