Fork of Fork of D3 Starter-maps

100%

Fork of Fork of D3 Starter-maps

✓ Published1🌍 Public

Last edited Apr 13, 2026

Created on Apr 13, 2026

This choropleth displays world population figures for a selection of countries, with darker blues representing higher populations and gray for countries without data. It uses a Mercator projection via `d3.geoMercator` and `d3.geoPath` to render country boundaries from a TopoJSON world-atlas dataset. Population values are mapped through a sequential `d3.scaleSequential` with an `interpolateBlues` color scale. Hovering reveals a tooltip with the country name and population in millions, powered by SVG `title` elements.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of D3 Starter

A choropleth world map visualizes population data for select countries, using a red sequential color scale to encode values and a legend for reference. Built with D3 v7 and TopoJSON, it uses `d3.geoPath` and `d3.geoNaturalEarth1` for projections, loading country boundaries from a world-atlas package and population values from a Gist JSON file. Hovering over a country reveals a tooltip with its population in millions.

Kkmuddana@gitam.in

93% match

Loading thumbnail…

Fork of HTML Starter

This choropleth map visualizes world population data from a CSV file, displaying countries in a sequential blue color scale based on their population size. It renders an SVG with D3 v6, using `d3.geoNaturalEarth1` and `d3.geoPath` to draw country boundaries from TopoJSON world-atlas data. Interactive tooltips appear on mousemove, showing country names and population values, while a gradient legend indicates the color scale up to 1.5 billion people.

BBalaji Dasari

91% match

Loading thumbnail…

Fork of Fork of Fork of D3 Starter-maps

This choropleth visualizes global population using a Natural Earth projection. Countries are drawn as SVG paths via `d3.geoPath` and a `d3.geoNaturalEarth1` projection, with fill colors assigned from a sequential blue scale (`d3.scaleSequential`) based on population values from a CSV. Countries lacking matching population data receive a random light blue fill. The map uses TopoJSON for feature parsing and is rendered at full viewport size.

Hharshithamiriyam@gmail.com

91% match

Loading thumbnail…

Fork of Fork of HTML Starter

This interactive choropleth map visualizes global population by country, with each nation color-coded according to population size using a threshold scale and a blue sequential color palette. Hovering over a country highlights its borders and displays a tooltip showing the country name and exact population figure. The visualization loads geographic data from a TopoJSON file and population statistics from a TSV file, then renders the map using `d3.geoMercator` projection and `d3.geoPath`. Tooltips are implemented with the d3-tip library, while the queue library manages asynchronous data loading.

Sshindeayush76@gmail.com

91% match

Loading thumbnail…

Fork of HTML Starter

This choropleth map visualizes global population by country, using a blue sequential color scale where darker shades represent higher population counts and gray indicates missing data. The visualization loads a GeoJSON world map and a CSV of population figures, then joins them by ISO3 country codes. Built with D3 v7, it uses the `geoNaturalEarth1` projection and `geoPath` to render SVG paths, with interactive tooltips showing each country’s name and population via the `append('title')` method.

Ssharathchandrareddymuthyam

90% match

Loading thumbnail…

Fork of D3 Starter

This example visualizes world population data from a 2024 Kaggle dataset using a choropleth map. The map displays each country’s population with a blue color scale, from light (low) to dark (high), based on the `Population 2024` column, while countries without data appear gray. The visualization is built with D3 v7 and TopoJSON, using `d3.geoNaturalEarth1` for the projection and `d3.geoPath` to render geographic features. It loads world map geometry from the world-atlas package and the CSV dataset, then employs `d3.scaleSequential` with `d3.interpolateBlues` to map population values to fill colors. Interactive tooltips display exact population figures on mouseover, and a graticule and legend provide spatial and color context.

BBhargav Reddy

90% match

Loading thumbnail…

Fork of Fork of React & D3 Vibecoding Starter

This choropleth map colors world countries by population, using darker blues for more populous nations while unlisted countries appear gray. A legend explains the visual encoding. The example loads world-atlas TopoJSON, converts it to GeoJSON features using topojson-client, and projects the map with d3.geoNaturalEarth1 and d3.geoPath. A d3.scaleLinear maps population values to a light-to-dark color range, and SVG paths render each country with tooltips showing population figures.

SSathviKankanala@my.unt.edu

90% match

Loading thumbnail…

Fork of HTML Starter

This visualization shows a world map with countries colored by population using a threshold scale, rendered as SVG paths via `d3.geoPath` with a Mercator projection. The choropleth uses a quantized color range from light to dark blue, and hover interactions trigger tooltips built with `d3-tip`, displaying each country’s name and population. Data comes from a TopoJSON file and a TSV of population figures, both loaded asynchronously with the queue library.

Ddaniel

89% match