GDP per capita

100%

GDP per capita

✓ Published0🌍 Public

Last edited Sep 18, 2019

Created on Sep 8, 2019

This visualization shows GDP per capita trends for continents from 1970 onward, highlighting values on hover. It uses Vega-Lite APIs to build layered line, rule, and text marks, with interactive selection via `vl.selectSingle()`. Data is loaded asynchronously from a CSV via d3’s `csv` function, filtered to selected regions and series. The chart is rendered with Vega’s SVG renderer, and a guide title and labels are customized through the config object.

AI-generated description

GDP per capita across the decades. Dataset is here.

MIT Licensed

Similar vizzes

Loading thumbnail…

Vega-Lite API Template

This scatterplot displays the relationship between happiness score and logged GDP per capita for countries in the 2020 World Happiness Report, with point color encoding regional indicator and size representing healthy life expectancy. Tooltips reveal country name, happiness score, and GDP per capita on hover. The visualization is built using the vega-lite-api library, which wraps Vega-Lite’s declarative syntax, while D3’s `csv` function loads the external dataset. The chart automatically fits the window dimensions and uses a custom configuration to adjust axis and label styling.

AAnurag Desai

74% match

Loading thumbnail…

Untitled

This example shows GDP per capita for a selection of countries as a bar chart. Bars initially render in the order they appear in the data, with a transition animating their height on load. Users can hover over bars to highlight them in orange, and a checkbox below the chart sorts the bars in descending order by value. The visualization is built with React and D3 v4, using `d3.scaleBand`, `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft`, rendering to SVG with mouseover event handlers.

Ppriyankab23

74% match

Loading thumbnail…

Gapminder Population Growth in Vega-lite

This example visualizes Gapminder population growth data by plotting each country as a circle on a scatterplot, with the year on the x-axis, total population on the y-axis, and circle size and color encoding population magnitude and country identity. The visualization is built using the Vega-Lite API, which registers with Vega and Vega-Lite, and loads the CSV data via d3.csv. It applies a custom configuration for axis styling and uses a tooltip handler to display country names on interaction.

Llakalia@wpi.edu

73% match

Loading thumbnail…

Population Vega Lite

This line chart displays population trends for selected countries from 1950 to 2020, using a color-encoded line for each nation. The visualization is built with the Vega-Lite API (vl) on top of Vega and Vega-Lite, rendering to SVG. Data is fetched as CSV via d3.csv from a remote gist, then unfolded into long format with Year and Population fields. Tooltips, provided by Vega-Tooltip, show the country name on hover, while a custom config adjusts axis and label styling.

Ddvinubius

73% match

Loading thumbnail…

Vega-Lite API Template

This example visualizes the World Happiness Report 2020 data, plotting each country’s happiness score against its logged GDP per capita, with points colored by regional indicator and tooltips showing country details. Built with the Vega-Lite API, it uses `vl.markPoint()` and `vl.encode()` to define the scatter plot, while `d3.csv` loads the remote dataset. The visualization is rendered as an SVG via Vega and Vega-Lite, with a custom configuration for axis and label styling, and it fills the browser window using an autosize fit setting.

AAnurag Desai

73% match

Loading thumbnail…

Gapminder Clone

This interactive visualization recreates the classic Gapminder chart, plotting GDP per capita against life expectancy for countries over time from 1800 to 2014. Users can filter by continent via a custom dropdown menu and animate the progression through years with a play button. The code uses D3 v7 scales, axes, and transitions for the SVG rendering, with a tooltip displaying country details on hover. Data is loaded as JSON from an external GitHub source, and a custom dropdown module handles the continent selection.

AAdan Rodriguez

72% match

Loading thumbnail…

Untitled

An interactive bar chart displays GDP per capita for a selection of countries, with bars rendered as SVG rectangles. Hovering over a bar highlights it in orange and displays a label with the country name and value, while a checkbox button toggles sorting of the bars in descending order. The visualization uses d3.v4 scales, axes, and transitions for animation, with data hardcoded in a JavaScript array and styled via CSS classes.

Ppriyankab23

72% match

Loading thumbnail…

New Scatter Plot

This scatter plot visualizes worldwide GDP versus population for 1980, with each circle representing a country and tooltips revealing GDP per capita. The code loads CSV data from a GitHub gist using D3 v7’s `csv` loader, then renders an SVG with `scaleLinear`, `axisLeft`, and `axisBottom`. Axis ticks are formatted via a custom `numMaker` utility that converts large numbers into abbreviated units (e.g., “B” for billions). Circle tooltips use D3’s `title` element, driven by React-free DOM selection and data joins.

Aadventuresenglish.info@gmail.com

72% match