India Map: ICE-8

ICE-8 INDIA MAP

This example visualizes the states of India as colored polygons, with each state filled by a categorical color from d3.scaleOrdinal and labeled with its name. It uses d3.geoMercator for projection and d3.geoPath to render the TopoJSON geometry into SVG paths. The map displays state borders with black strokes and positions name labels at each state’s centroid. Data comes from a remote TopoJSON file of Indian administrative boundaries, processed via the topojson library’s `feature` method.

Ssreesushmav

ICE 8 India Map

This example displays a choropleth map of Indian states rendered as SVG paths, with each state filled using a categorical color scale and labeled with its name at the centroid. It uses D3 v5’s `geoMercator` projection and `geoPath` to draw the boundaries, while `topojson.feature` extracts the geometry from a remote India states dataset. State polygons are hover-highlighted via CSS, and the color scheme is generated with `d3.scaleOrdinal` and `schemeCategory10`.

Ddivyakota99

Ggaddamthanmayeereddy759@gmail.com

India Map ICE-8

This example presents a choropleth-style map of India’s administrative regions, colored by each state’s name using a categorical scale. The map is rendered as SVG with D3.js v5, using `d3.geoMercator` for projection and `d3.geoPath` to generate shapes. TopoJSON data is loaded from a GitHub gist and converted to GeoJSON via the `topojson` library. State labels are placed at polygon centroids, while hovering highlights a region in yellow. The background uses a soft linear gradient, and each state’s name appears as a tooltip.

ICE-8

This visualization displays a map of Indian states, each filled with a distinct color from a categorical scale and labeled with its name. The SVG rendering uses `d3.geoMercator` for projection and `d3.geoPath` to generate state boundaries from TopoJSON data. State names are positioned at each path’s centroid, and hover effects are applied to county paths via CSS. The color mapping relies on `scaleOrdinal` with `schemeCategory10`, while the geographic data comes from a remote India-states TopoJSON file.

DDineshK2602

ICE-8:India Map with states

This example displays a choropleth map of India with each state filled by a categorical color scale. It uses D3 v5’s `geoMercator` projection and `geoPath` to render SVG paths from TopoJSON state boundaries, sourced from a remote GitHub repository. State names are shown as tooltips via appended `title` elements. The color mapping uses `scaleOrdinal` with `schemeCategory10`, and boundary styling is applied through CSS.

DDeeraj Thakkilapati

ICE-8 INDIA

This visualization displays an SVG map of India with all states colored using D3’s `scaleOrdinal` and `schemeCategory10`, and labels each state name at its centroid via `d3.geoPath().centroid`. It loads TopoJSON state boundaries from a remote GitHub source, projecting them with `geoMercator`. State paths receive black strokes from CSS, while hover titles show names using appended `title` elements. The code uses `topojson.feature`, `d3.json`, and `d3.selectAll` to render the choropleth-style static map.

HHarshinireddyy19

Map of India - ICE8

This choropleth of India displays each state as a colored SVG path, with state names overlaid as text labels. The visualization uses a TopoJSON dataset of Indian administrative regions, loaded from a GitHub repository and processed via the topojson `feature` API. D3’s `geoMercator` projection and `geoPath` generate the map geometry, while `scaleOrdinal` with `schemeCategory10` assigns distinct fills to each state. Rendering is entirely SVG-based, with hover interactions defined in CSS.

KKolliTeja

India ICE - 8 - Map

This example renders a choropleth map of India’s administrative regions, with each state filled by a categorical color and labeled with its name. The visualization uses D3 v5’s `geoMercator` projection and `geoPath` generator to draw the SVG paths from TopoJSON data. State boundaries are stroked in white, and each polygon includes a tooltip via `title` elements. Colors come from `scaleOrdinal` with `schemeCategory10`, while labels are positioned using `pathGenerator.centroid`. The code loads the India dataset from a GitHub gist and shifts off a duplicate feature before rendering.

PPrasanth