Skip to main content
SimilarExport ZIP
100%

Gapminder Data in React and D3 - interactive regions

✓ Published1🌍 Public
Llakalia@wpi.edu
Last edited Nov 4, 2020
Created on Oct 24, 2020

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.

AI-generated description

Hans Rosling Gapminder data sets: A visualization in React and D3.

Hans Rosling Gapminder summary from 1950 is a summary of data that was downloaded from Step 1 of How to build Animated Charts like Hans Rosling — doing it all in R and originally comes from Gapminder.com

MIT Licensed

Similar vizzes

Loading thumbnail…

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.

Llakalia@wpi.edu
95% match
Loading thumbnail…

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.

Llakalia@wpi.edu
94% match
Loading thumbnail…

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.

Llakalia@wpi.edu
93% match
Loading thumbnail…

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.

Llakalia@wpi.edu
93% match
Loading thumbnail…

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.

Llakalia@wpi.edu
92% match
Loading thumbnail…

Gapminder Data in React and D3 - worldmap saved colored

A world map rendered with D3's `geoNaturalEarth1` projection and `geoPath` is overlaid with a Gapminder scatterplot in a single React SVG. Each country is filled with a color matching its World Bank region, while circles positioned by income, population, life expectancy, or fertility rate use the same ordinal color scale. Data comes from a CSV summary of Gapminder's 1950 onward dataset, with an interactive dropdown to switch the y-axis metric. The map, drawn from a TopoJSON world atlas, also exposes country names as tooltips.

NNita
91% match
Loading thumbnail…

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.

Llakalia@wpi.edu
89% match
Loading thumbnail…

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.

Llakalia@wpi.edu
89% match