Health and Wealth of Nations - Bubble Chart

100%

Health and Wealth of Nations - Bubble Chart

✓ Published0🌍 Public

Last edited May 28, 2019

Created on Mar 25, 2017

A bubble chart displays the relationship between life expectancy and income for nations, using population for bubble size and region for color. The data comes from a JSON file loaded via `d3.json`, and the chart is rendered with d3fc’s cartesian chart, logarithmic x-scale, and linear y-scale. A point series with a linear size scale creates the bubbles, while a legend from `d3-legend` is positioned over the SVG plot.

AI-generated description

This d3fc example demonstrates how to render a bubble chart with data that shows the relationship between life expectancy and wealth, obtained via Gapminder. The chart is constructed from the following components:

The d3.json component is used to load the data from a JSON file.
A cartesian chart, with a logarithmic x scale and linear y scale, is used to render the plot area, axes and labels.
A point series is used to render the data, with the size of each point defined via another linear scale.
A legend (courtesy of the d3-legend project), absolutely positioned over the chart.

mit Licensed

Similar vizzes

Loading thumbnail…

CS171 - Health & Wealth of Nations

A scatterplot shows the relationship between national income and average life expectancy across countries, with bubble size representing population and color indicating world region. The visualization loads data from a CSV file and renders circles in an SVG using D3 v5, applying logarithmic and linear scales to map income and life expectancy. Animated transitions are not present, but the chart includes axis labels and a legend-less ordinal color scale for categorical region data.

Yyuva24

83% match

Loading thumbnail…

wealth & health of nations

This scatterplot, titled “wealth & health of nations,” visualizes the relationship between income per capita and life expectancy across countries. Each circle represents a nation, positioned along a logarithmic x-axis for income and a linear y-axis for life expectancy. Hovering over a circle displays a tooltip with the country’s name. The chart includes labeled axes for "Income per capita" and "Life Expectancy," and the D3 v4 code uses an SVG and animation to render the data.

EElaineYu

83% match

Loading thumbnail…

Data Reading & Shaping

This animated bubble chart shows the relationship between income per capita, life expectancy, and population for nations from 1800 to 2009, with bubbles colored by region. Using D3 v4 and SVG, it loads data from a JSON file, applies logarithmic and linear scales, and updates circle positions through a 2-second transition each year. A counter displays the current year as the visualization progresses through the dataset.

EElaineYu

82% match

Loading thumbnail…

Bubble Chart: All Data

This bubble chart displays global life expectancy against GDP per capita, with bubble size representing population and color indicating continent. The visualization includes an interactive tooltip showing country names on hover, plus a legend for population scale. Built with D3 v4, it uses SVG circles, d3.scaleLinear for axes, d3.scaleSqrt for bubble sizing, and d3.scaleOrdinal with d3.schemeSet1 for color mapping. The chart reads data from a CSV of three numeric variables per country and adds hover effects to highlight individual data points.

SSimon Hackbert

81% match

Loading thumbnail…

The Wealth & Health of Nations

This interactive scatterplot animates 209 years of global development, tracing each nation’s per-capita income (x-axis), life expectancy (y-axis), and population (circle radius) across time. Clicking and dragging the year slider scrubs forward and backward through the dataset, with circles colored by geographic region. The visualization uses D3 v3’s scales (log, linear, sqrt), axes, and transitions, interpolating sparse historical data from Gapminder via linear interpolation and bisection. Rendered as animated SVG elements, it recreates Hans Rosling’s famous 2006 TED talk visualization.

Aabhineetsingh10

80% match

Loading thumbnail…

fresh block

This example visualizes global health and wealth data as a bubble chart, where each circle represents a country positioned by life expectancy (y-axis) and GDP per capita (x-axis), with circle size encoding population and color encoding continent. It uses D3 v4’s scales (`scaleLinear`, `scaleLog`, `scaleSqrt`, `scaleOrdinal`) to map variables and renders SVG circles with axes labeled accordingly. The code loads CSV data via `d3.csv` and applies sorting by population, while styling uses opacity and a light grey background. The chart focuses on comparing country-level indicators, with axes labeled in French.

CClaraGriot

79% match

Loading thumbnail…

Bubble Chart

This bubble chart maps countries’ birth rates to the x-axis and life expectancy to the y-axis, with bubble size scaled by population. The visualization uses D3 v6’s `scaleLinear` for positioning and `scaleSqrt` for radius, while an ordinal color scale distinguishes countries. Each circle is rendered as an SVG element with a dark blue text label, and the chart includes standard `axisBottom` and `axisLeft` axes. The sample dataset is embedded directly in the code, and the visualization is presented in a 700x450 pixel container.

VVenkat-Sumith-Thota

77% match

Loading thumbnail…

A5_BubbleChart

This visualization shows life expectancy across various countries using a bar chart with a sequential color scale. The chart maps average life expectancy values to a light-to-dark green gradient, with color intensity and bar height both encoding the data. Built with D3 v7 and rendered as SVG, it uses d3.scaleSequential with d3.interpolateRgb for coloring, d3.scaleBand for the x-axis, and d3.legendColor from the d3-legend library for the legend. The data comes from a CSV file hosted on GitHub containing country-level expectancy metrics.

DDuc Pham

77% match