Gapminder Population Growth in React and D3

Refactoring initial Gapminder Population Growth in React and D3

This example visualizes Gapminder population growth data, plotting total population against year for each country as circles with tooltips showing country names. Built with React and D3 v5, it uses `scaleLinear` for both axes, `scaleOrdinal` for color encoding, and `format` to abbreviate population labels. The SVG rendering includes custom `AxisBottom` and `AxisLeft` components that generate ticks, while `Marks` generates circles with D3’s `interpolateRainbow` color scheme. The data is loaded asynchronously from a CSV via `useData` and D3’s `csv` parser.

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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.

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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.

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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.

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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.

Gapminder Data in React and D3 - world map background

This visualization displays Gapminder country data—including income per capita, total population, life expectancy, and fertility rate—as colored circles plotted over a world map background. A dropdown menu allows switching the y-axis attribute, while circles are color-coded by World Bank global region. The map is rendered using `d3.geoNaturalEarth1` and `d3.geoPath` with TopoJSON world atlas data, while React manages component state and D3 scales handle axes and color encoding.

Gapminder Data in React and D3 - rotated menu

This example displays Hans Rosling's Gapminder dataset as an animated scatterplot in SVG, plotting annual data from 1950 with country points colored teal. A rotated dropdown menu lets users select which attribute appears on the y-axis, including income per capita, total population, life expectancy, or fertility rate, while the x-axis represents years. Using React's `useState` hook and D3's `scaleLinear`, `extent`, and `csv` data loading, the visualization renders axes and marks via custom SVG components. The React dropdown library provides the interactive control, and the code filters out rows with zero values.

test changes Gapminder Data in React and D3 - interactive regions

Gapminder country data from 1950 to 2015 is plotted as an interactive scatterplot, with a year slider when time is on the x-axis, and dropdowns to select different economic and demographic attributes. A world map background, rendered with `d3.geoNaturalEarth1` and `d3.geoPath`, colors countries by World Bank region, with click-to-select and hover highlighting that filters the plotted circles. Built with React and D3 v5, using `scaleLinear`, `scaleOrdinal`, and `scaleSqrt` for scales, and SVG elements for axes, legend, and marks.