PlayersGoal

100%

✓ Published0🌍 Public

Last edited Mar 15, 2021

Created on Mar 14, 2021

This visualization is a horizontal bar chart showing fertility rates for various countries in the year 2000. The bars are ordered by the dataset's country field, with the fertility rate mapped to the bar's length from zero. The chart uses D3 v5's `d3.scaleLinear` and `d3.scaleBand` to position the bars, along with `d3.axisBottom` and `d3.axisLeft` for the axes. Data comes from the `gapminder2000.csv` file, and the rendering is done via SVG.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

fresh block

This scatterplot visualizes Gapminder data from 1970, plotting fertility against life expectancy for various countries. Each circle’s size encodes population, while its color distinguishes geographic regions. The visualization uses d3.csv to load the data, d3.scaleLinear for the axes, d3.scaleSqrt for circle sizing, and d3.scaleOrdinal with schemeCategory10 for region colors. SVG elements are drawn via d3 selections, with axes generated using d3.axisBottom and d3.axisLeft, and a legend included.

AAitorCCE

73% match

Loading thumbnail…

Blank Canvas

This example displays two linked visualizations of Gapminder data from the year 2000: a horizontal bar chart of fertility rates on the left and a scatterplot of life expectancy versus fertility on the right. Clicking a bar or circle highlights that country in both views by turning non-selected elements grey, while a second click resets the highlighting. Built with D3 v5, the bar chart uses `scaleLinear` and `scaleBand` for axes, while the scatterplot encodes cluster membership through a categorical color scale. Both views load their shared dataset from a CSV file and render as SVG.

Ppplomith

72% match

Loading thumbnail…

Gapminder

This visualization recreates the classic Gapminder bubble chart, plotting countries as circles on a grid of female literacy rate (x-axis) against fertility rate (y-axis). Circle area encodes population, and color maps to continent. The chart is rendered with D3 v5 using SVG, with country names from the CSV appearing in French. The data highlights global patterns, such as the clustering of high-fertility African nations at the lower right and the concentration of European and Asian countries with higher literacy and lower fertility at the upper left.

JJuanma-GP

72% 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

72% match

Loading thumbnail…

Countries Scatter plot

A scatter plot displays the relationship between fertility rate and urban population for 50 countries, with each circle representing a nation. The chart uses D3.js to create a linear x-scale for fertility rate and a reversed linear y-scale for urban population percentage. Grid lines extend from both axes, and axis labels clarify the variables. Data comes from a CSV file parsed with `d3.csv`, while the visualization is rendered as an SVG with circles styled in semi-transparent purple.

Aarieltonglet

71% match

Loading thumbnail…

Module6

This visualization uses birth-rate data from 2000–2013 for 39 countries to show how national rates change over time. A time slider scrubs through the years, with each country represented by a small circle positioned along a vertical axis. The current year is highlighted in a large display, and country labels fade or emphasize as the user drags the slider. The chart is rendered using D3 v3 with SVG, presenting a clean, static-scale line-and-dot layout that lets viewers compare relative birth rates across countries and track temporal trends.

CClevejones

71% 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

69% 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

68% match