Skip to main content
SimilarExport ZIP
100%

MAP

✓ Published0🌍 Public
AAnissa Belkelfa
Last edited Oct 3, 2022
Created on Oct 3, 2022
Forked from map exemple

This map visualizes global population estimates for each country using a choropleth color scale, where darker reds indicate higher population values. The geographic outlines are rendered as SVG paths generated from world-atlas TopoJSON data, projected with `d3.geoMercator`. Population figures come from a TSV dataset loaded via `d3.tsv`, and the fill color is computed with `d3.scaleLinear`. The visualization also includes interactive pan and zoom functionality through `d3.zoom`, and hover states change country colors to purple via CSS.

AI-generated description

map

MIT Licensed

Similar vizzes

Loading thumbnail…

Map exemple

This interactive choropleth displays global population estimates, with each country filled by a color scale ranging from light red to dark red according to its population. Built with D3 v5, the map uses TopoJSON to convert world-atlas GeoJSON features into SVG paths via a Mercator projection, while an accompanying TSV file supplies the population attributes. The visualization supports zooming and panning, and countries turn purple on hover.

EElodie31190
89% match
Loading thumbnail…

map exemple

This choropleth map displays global population estimates, with countries shaded from light red to dark red according to their population size. The visualization uses `d3.geoMercator` for projection and `d3.geoPath` to render country boundaries from TopoJSON data loaded via `d3.json`, while population values come from a TSV file loaded with `d3.tsv` and mapped to colors using `d3.scaleLinear`. The map supports pan and zoom interactions through `d3.zoom`, and hover effects are styled with CSS.

TTimothyMiage
88% match
Loading thumbnail…

map exemple

This map example visualizes global population estimates by country using a dark red color scale. The code loads geographic data from the world-atlas package and joins it with a TSV file containing population statistics. The visualization uses the d3.geoMercator projection and d3.geoPath to render country boundaries as SVG paths, while the topojson library converts the GeoJSON features. Hovering over a country turns it purple, and the map supports zooming through d3.zoom and event handling.

JJuliette
86% match
Loading thumbnail…

Maps-Exemple

This example displays a choropleth map of world countries colored by population estimates, with hover highlighting and zoom/pan interaction. It uses D3 v5’s `d3.geoMercator` projection and `d3.geoPath` to render SVG paths from TopoJSON data loaded from the world-atlas package, while population values and country names come from a supplementary TSV file. A linear `d3.scaleLinear` maps population magnitudes to a red color ramp, and the `d3.zoom` behavior applies transforms to all country paths.

JJShellBach
86% match
Loading thumbnail…

Fork of map exemple

This visualization displays a choropleth map of world population estimates, using darker reds to represent higher population counts. It employs d3.geoMercator and d3.geoPath to project and render country boundaries from the world-atlas TopoJSON dataset, with d3.scaleLinear mapping population estimates to fill colors. The map supports zooming via d3.zoom, and hover effects change country fills to purple. Population data is loaded from a TSV file and matched to country features by ISO numeric codes.

IIndira120
85% match
Loading thumbnail…

Fork of map exemple

This choropleth map visualizes world population estimates for each country, with a color scale ranging from light red to dark red. The map renders geographic boundaries using `d3.geoPath` with a Mercator projection, and supports zooming via `d3.zoom`. Population data comes from a TSV file and country shapes from TopoJSON, both sourced from the world-atlas package. Countries display hover effects through CSS, changing fill color to purple, and show country names via SVG `title` elements.

MMunisbek-design
85% match
Loading thumbnail…

Fork of map exemple

This visualization displays a choropleth map of world countries, with each nation filled by a dark red color scale based on its estimated population. The map uses d3.geoMercator projection and d3.geoPath to render geographic features from the World Atlas TopoJSON data. Population values are loaded as TSV data with d3.tsv, while event handling and zoom functionality come from d3.zoom. Country labels and population estimates are attached as SVG title elements, and hover effects are styled through CSS.

Ssnehareddygurram
84% match
Loading thumbnail…

Map

This map visualizes global population data from a CSV file (accessed via `d3.csv`), with each country’s population represented by a semi-transparent circle overlaid on a geographic projection. The circles’ areas are scaled using `d3.scaleSqrt`, and the map is rendered with `d3.geoPath` and `d3.geoNaturalEarth1` on an SVG. Users can pan and zoom via `d3.zoom`, and hovering over a country reveals a tooltip with its regional name and population. A size legend, built with custom `sizeLegend.js`, and a color legend (`colorLegend.js`) accompany the visualization. Interactive encoding uses the `join` pattern to update SVG elements.

TTajallah-maryam
84% match