Skip to main content
SimilarExport ZIP
100%

Fork of Population Distribution

✓ Published0🌍 Public
DDouglas mochama
Last edited Apr 26, 2024
Created on Apr 26, 2024

This interactive choropleth maps world population by country, with a dropdown to switch between years (1980–2030) and a sidebar ranking the top ten most populous nations. It uses D3 v6 with `d3.geoPath`, `d3.geoMercator`, and a `d3.scaleThreshold` color scale, pulling CSV data from a GitHub repository and GeoJSON country boundaries. Hovering reveals a tooltip with the country name and population, while the map redraws on year selection.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Population Distribution

This choropleth map visualizes world population distribution across countries, with a dropdown menu to switch between years (1980, 2000, 2010, 2022, 2023, 2030). It uses d3.csv to load population data, d3.geoPath and d3.geoMercator for geographic rendering as SVG paths, and a d3.scaleThreshold color scale to encode population ranges. Hovering reveals a tooltip with the country name and population, while a sidebar table lists the top ten most populous countries, updated dynamically on year changes.

DDouglas mochama
92% match
Loading thumbnail…

world population distribution

This choropleth map displays world population distribution across countries, with a dropdown menu to switch between years (1980–2030) and a tooltip revealing each country’s exact population on hover. It uses `d3.csv` and `d3.json` to load population data and GeoJSON topology, then renders paths via `d3.geoPath` with a Mercator projection. A threshold `colorScale` maps population ranges to blues, while a sidebar table lists the top ten most populous countries, updated dynamically through `updateTopCountries()` whenever the selected year changes.

Jjayanthbalina@gmail.com
89% 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
86% match
Loading thumbnail…

Fork of world population density

This interactive world map visualizes population density by country for the years 1980, 2000, 2010, and 2022. Users select a year from a dropdown menu to update the choropleth map, where darker colors indicate higher densities. The visualization uses d3.geoPath, d3.geoMercator, and d3.scaleThreshold to render geographic data from a TopoJSON file and CSV data loaded from GitHub. Hovering over a country reveals a tooltip with its density, and a ranking table displays the top ten most densely populated countries.

Jjayanthbalina@gmail.com
86% match
Loading thumbnail…

Fork of world population density

This interactive world map visualizes population density by country for the years 1980, 2000, 2010, and 2022. Users select a year from a dropdown menu to update the choropleth map, where darker colors indicate higher densities. The visualization uses d3.geoPath, d3.geoMercator, and d3.scaleThreshold to render geographic data from a TopoJSON file and CSV data loaded from GitHub. Hovering over a country reveals a tooltip with its density, and a ranking table displays the top ten most densely populated countries.

Jjayanthbalina@gmail.com
86% 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
86% 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
85% match
Loading thumbnail…

Population Density

This choropleth map visualizes global population density across selectable years (1980, 2000, 2010, 2022) using a Mercator projection via `d3.geoMercator` and `d3.geoPath`. A threshold color scale maps density values to a blue sequential palette, with country-level data loaded from a raw GitHub CSV. Users interact through a dropdown to switch years, triggering map redraws and an animated tooltip on hover showing country name and density. A sidebar ranks the top ten most densely populated countries for the chosen year.

DDouglas mochama
84% match