Skip to main content
100%

Esperance / Natalité : World

✓ Published0🌍 Public
Aaktraiser
Last edited Dec 1, 2017
Created on Dec 1, 2017

This animated scatterplot charts global life expectancy against fertility rates from 1950 to 2015, with each country represented as a circle whose size encodes population and whose color indicates continent. The visualization, built with D3 v4 and rendered as SVG, plays through time with a sliding year indicator, allowing viewers to observe how the relationship between these two demographic indicators evolves across the world. Data is drawn from a CSV containing country, year, life expectancy, total fertility, population, and continent for each annual observation.

AI-generated description

Built with blockbuilder.org

forked from <a href='http://bl.ocks.org/anonymous/'>anonymous</a>'s block: <a href='http://bl.ocks.org/anonymous/bd6deab4b3766cfce8450121bac32dbe'>fresh block</a>

glide Licensed

Similar vizzes

Loading thumbnail…

Testing

This visualization plots Gapminder data from 1964 to 2013, showing how fertility rates and life expectancy evolved across countries over time. Each country is drawn as a circle on a canvas, positioned by fertility and life expectancy, with circle size encoding population and color encoding region. The chart animates through the years, revealing global health and demographic transitions.

Aandrescardenasp
80% match
Loading thumbnail…

fresh block

This example visualizes global health and economic trends using a Gapminder-style scatterplot. Each circle represents a country, positioned by life expectancy (x-axis) and fertility rate (y-axis), with circle size encoding population and color representing geographic region. The visualization animates through years 1964 to 2013, showing how countries move across the chart as their metrics evolve. The data, loaded from a CSV, includes fields for country, year, fertility, life expectancy, population, child mortality, and GDP. Using D3 v5 and SVG rendering, the chart emphasizes the relationship between health outcomes and economic development over time, with a transition effect revealing changing distributions across decades. The visualization is minimal and functional, with axes labeling life expectancy and fertility, and a legend for regions.

JJuanma-GP
79% match
Loading thumbnail…

Fertility and life expectancy

This example shows the relationship between fertility rate and life expectancy for eight European countries over the period 2002-2013. Each country is represented as a set of points on a scatter plot, with the x-axis showing fertility and the y-axis showing life expectancy. The visualization uses D3.js to render an SVG chart, plotting annual data points for each country to reveal trajectories and trends over time, such as increasing life expectancy and fluctuating fertility rates. The data is embedded directly in the HTML source.

SSokrates86
78% match
Loading thumbnail…

Module 5 Exercise -- Life Expectancy for all the countries.

Two side-by-side scatterplots show life expectancy at birth for every country in 1960 and 2012, with each orange circle representing a nation and its vertical position indicating the reported years. The paired charts let viewers compare global longevity changes across the five-decade span. Using d3.v3, the code loads the CSV data, sorts countries by life expectancy, and renders the circles with SVG, applying a staggered transition to animate their appearance. The y-axis uses a fixed 20-to-90 year scale, and hover tooltips reveal each country’s exact value. Data originates from the World Bank’s 2014 indicator.

PP7h
78% match
Loading thumbnail…

Scatter Plot of World Life Expectancy Yearwise

This interactive scatter plot visualizes life expectancy across the world over 15 years, with each circle representing a country. Color encodes continent, while circle size reflects average BMI, and a tooltip reveals the country name. The visualization is built using the Vega-Lite API, which compiles specifications to Vega, with data loaded via `d3.csv` from a WHO dataset hosted on GitHub. The plot reveals that Europe consistently has the highest average life expectancy, and global life expectancy generally increases each year.

Aaishwarya8615
77% match
Loading thumbnail…

Chart Controls III

This chart animates four dimensions of global development data—life expectancy, fertility rate, population, and time—using a bubble chart. Each circle represents a country, positioned by life expectancy and fertility rate, with size encoding population via a power scale. The animation steps through years, transitioning all circles simultaneously. A dropdown menu filters the display by region. The visualization is built with D3 v3, using `d3.scale.pow` for sizing, `d3.nest` to group data by year, and the `d3.timer` function to drive transitions. Data comes from the included `lfp_all.csv` file.

11Cr18Ni9
76% match
Loading thumbnail…

Ejercicio 6 - v2

This visualization displays the relationship between fertility rate and life expectancy across countries for the year 1983. Each circle represents a country, with its position determined by these two variables and its size scaled to population. The chart uses color to differentiate world regions, and includes a legend and labeled axes with gridlines. Built with D3 v5, it loads data from a CSV file, employs scales such as `d3.scaleLinear`, `d3.scaleSqrt`, and `d3.scaleOrdinal`, and renders the result as SVG circles.

MMiguelho
76% match
Loading thumbnail…

side by side barchart

This side-by-side bar chart compares fertility rate, birth rate, and life expectancy across continents using a grouped bar layout. Each continent displays three colored bars—steelblue for fertility, orange for birth rate, and green for life expectancy—all sharing a common y-axis of mean values. Built with D3 v7 in a React environment, the visualization renders SVG rectangles positioned via `d3.scaleBand` and `d3.scaleLinear`, with data fetched from a CSV file hosted on GitHub. A legend and axis labels clarify the encoded metrics.

LLayaMyadam@my.unt.edu
76% match