Refactoring initial Gapminder Population Growth in React and D3

Gapminder Population Growth in React and D3

This visualization displays Gapminder population growth data, plotting each country as a circle on a scatterplot with year on the x-axis and total population on the y-axis. Values are formatted with a custom tick formatter that shortens large numbers (e.g., replacing 'G' with 'B'). The React app uses D3 v5 scales (`scaleLinear`, `scaleOrdinal`) and `d3.csv` for data loading. SVG rendering is used throughout, with React components for axes and marks. Tooltips show country names via SVG `<title>` elements.

91% match

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.

87% match

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.

86% match

Gapminder Data in React and D3 - rotated menu, added color and legend

This interactive scatter plot visualizes Hans Rosling’s Gapminder data from 1950, showing countries as colored circles positioned by year (x-axis) and a user-selected metric (y-axis) via a rotated dropdown menu. Each circle encodes its World Bank region through color, with a legend clarifying the mapping and tooltips revealing country names. Built with React and D3 (v5), the visualization uses `scaleLinear`, `scaleOrdinal`, and SVG rendering, with axes, color legend, and marks generated as reusable React components. The code loads data via D3’s `csv` method and filters out zero values before plotting.

86% 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.

Gapminder Data in React and D3 - world map colored rebuild

This example presents Gapminder data from 1950 onward, displaying country-level metrics as colored circles over a world map. A dropdown menu selects the y-axis attribute, while the x-axis shows the year, with each circle’s color representing its World Bank region. The visualization uses React for state management and rendering, D3’s `scaleLinear`, `scaleOrdinal`, `geoNaturalEarth1`, and `geoPath` for projections, and `topojson` for country boundaries. The map is colored by country, and a color legend explains the region assignments.

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 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.