Skip to main content
100%

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

✓ Published1🌍 Public
NNita
Last edited Jun 6, 2024
Created on Jun 6, 2024

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.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

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

This example displays a choropleth-style map of India with state boundaries and labels, rendered as an SVG using D3.js. It loads GeoJSON data from a GitHub gist and applies a Mercator projection via `d3.geoMercator` with `projection.fitSize` to scale the map. The `d3.geoPath` generator creates the state paths, and state names are placed at each polygon's centroid using `geoGenerator.centroid`. The visualization uses D3 v7 and TopoJSON for data handling, with a simple teal fill and black strokes.

NNita
93% match
Loading thumbnail…

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.

NNita
90% match
Loading thumbnail…

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

This interactive map of India displays the leading political party in each state, colored according to a predefined palette. It uses D3.js (v7.9.0) with the `d3.geoMercator` projection and `d3.geoPath` to render the geographic boundaries. State-level election results from a CSV file are joined with a GeoJSON map, and each state is labeled with its name and leading party. A rotated legend lists all party colors. The SVG output is generated using `d3.json` and `d3.csv` data loading, with tooltips provided by SVG `title` elements.

NNita
89% match
Loading thumbnail…

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.

NNita
85% match
Loading thumbnail…

Fork of Map of India

This example shows a choropleth-style map of Indian states, colored by a categorical scale and labeled with state names. It loads population data from a CSV and geographic boundaries from a TopoJSON file, then joins them by state ID using `Promise.all`. The visualization uses `d3.geoMercator` for projection, `d3.geoPath` to render SVG paths, and `d3.scaleOrdinal` with `schemeCategory10` for coloring. Hover effects are applied to state paths via the `.states` CSS class, while tooltips display state names using SVG `<text>` elements.

NNita
84% match
Loading thumbnail…

Fork of Fork of Fork of India Map

This example displays a choropleth map of Indian states, with each state filled by a distinct color from a categorical scale and labeled with its name. It uses a Mercator projection configured through `d3.geoMercator` and renders geographic features via `d3.geoPath`. State boundaries and names come from a TopoJSON file loaded with `d3.json`, processed through `topojson.feature`, and drawn as SVG paths. The code assigns colors using `d3.scaleOrdinal` with `schemeCategory10`.

EEeshwarReddy
84% match
Loading thumbnail…

Fork of Fork of Map of India with D3 - chloropleth map

This choropleth map displays India’s districts, colored by state (NAME_1 property) using a categorical color scale, with district names overlaid at each shape’s centroid. It uses d3.geoMercator for projection and d3.geoPath to render SVG paths from TopoJSON data sourced from the Datameet Indian district boundaries dataset. The code applies a scaleOrdinal with schemeCategory10 for fills, appends title tooltips, and labels each feature via pathGenerator.centroid, while CSS sets stroke styling for boundaries.

NNita
83% match
Loading thumbnail…

Fork of Fork of Map of India with D3 - chloropleth map

This choropleth map of India renders state boundaries as SVG paths, with each state filled using a categorical color scale and labeled with its name at the path centroid. The visualization loads GeoJSON from a GitHub gist, then uses `d3.geoMercator` with a custom translation and scale, `d3.geoPath`, and TopoJSON’s `feature` method to generate the shapes. State names appear as SVG text elements positioned via the path generator’s centroid function, while CSS styling adds black stroke outlines and hover effects.

Aadewole-top
83% match