Gapminder Clone

Gapminder Data in React and D3 - interactive regions

This interactive Gapminder visualization, built with React and D3, maps country-level indicators like income per capita, life expectancy, and fertility rate over time (1950-2015). Users can switch axes, scrub through years with a slider, and hover or click the color legend to highlight or select world bank regions. The map background uses `geoNaturalEarth1` and `geoPath` from D3, while SVG circles are scaled with `scaleSqrt` and colored via `scaleOrdinal`. Data is fetched from a Gapminder summary CSV.

83% match

A Re-Recreation of Gapminder’s Wealth & Health of Nations - Romain Vuillemot

This interactive scatter plot recreates the classic Gapminder visualization, mapping countries as circles over time, with income per capita on the x-axis, life expectancy on the y-axis, and population encoded by circle radius. Users can drag any country circle to explore its historical trajectory, which is drawn as a gray path connecting its annual data points. The code uses D3.js v3 for SVG rendering and animation, with a custom `dragit.js` library handling the drag-and-drop interaction and trajectory display. Data is loaded from a local `nations.json` file, and a slider lets viewers scrub through years from 1800 to 2008.

Ffaversin17

82% match

Gapminder Data in React and D3 - colored world map rebuilt with interactions

This interactive Gapminder visualization combines a world map with an animated scatterplot to explore country-level data from 1950 onward. Users select a y-axis attribute (income, population, life expectancy, or fertility) via a dropdown, while the map colors countries by World Bank region using a d3.scaleOrdinal. Hovering over the color legend filters both the map and scatterplot to highlight matching countries. The visualization uses d3.geoNaturalEarth1 and d3.geoPath for the map, d3.scaleLinear for axes, and React state to manage selections, with data loaded via d3.csv and topojson.

82% match

Gapminder Data in React and D3 - worldmap colored

This visualization displays historical Gapminder country data—including income, population, life expectancy, and fertility—on a world map colored by World Bank region, with a scatterplot overlay showing data over time. The React app uses D3 v5 scales (scaleLinear, scaleOrdinal) and geoNaturalEarth1 projection with geoPath to render the atlas, while the dropdown menu switches the y-axis metric. Data is loaded via d3.csv from a Gapminder summary, and country colors are matched via a lookup table.

81% match

fresh block

This example visualizes global health and economic trends using a Gapminder-style scatterplot. Each circle represents a country, positioned by life expectancy (x-axis) and fertility rate (y-axis), with circle size encoding population and color representing geographic region. The visualization animates through years 1964 to 2013, showing how countries move across the chart as their metrics evolve. The data, loaded from a CSV, includes fields for country, year, fertility, life expectancy, population, child mortality, and GDP. Using D3 v5 and SVG rendering, the chart emphasizes the relationship between health outcomes and economic development over time, with a transition effect revealing changing distributions across decades. The visualization is minimal and functional, with axes labeling life expectancy and fertility, and a legend for regions.

JJuanma-GP

fresh block

This example, built with D3 v5 and SVG, visualizes a Gapminder-style dataset using a bubble chart. The x-axis represents GDP per capita, the y-axis shows life expectancy, circle size encodes population, and color maps to geographic region. The chart animates through years 1964 to 2013, showing how countries' development indicators evolve over time. A play button and time slider allow users to scrub through the years, with circles transitioning smoothly between states. The visualization highlights global trends in health and wealth, with tooltips providing country-specific data on mouseover.

AAitorCCE

Gapminder Data in React and D3 - 1 menu

This scatterplot displays Gapminder country-level data from 1950 onward, plotting year on the x-axis and one of four selectable attributes (income per capita, total population, life expectancy, or fertility rate) on the y-axis. Each circle represents a country, with its color fixed and a native SVG `<title>` tooltip revealing the country name. Built with React and D3 v5, it uses `scaleLinear` axes, `csv` loading, and `format` for tick labels, while a `react-dropdown` menu updates the y-axis attribute via React state.

Gapminder

This visualization recreates the classic Gapminder bubble chart, plotting countries as circles on a grid of female literacy rate (x-axis) against fertility rate (y-axis). Circle area encodes population, and color maps to continent. The chart is rendered with D3 v5 using SVG, with country names from the CSV appearing in French. The data highlights global patterns, such as the clustering of high-fertility African nations at the lower right and the concentration of European and Asian countries with higher literacy and lower fertility at the upper left.

JJuanma-GP