Skip to main content
100%

data

✓ Published0🌍 Public
VVirginiaHNg
Last edited Jun 15, 2017
Created on Jun 15, 2017

This visualization shows GDP per capita, population, and life expectancy for Angola and Benin from 1800 to 2009, using a scatterplot of income versus life expectancy with bubble size representing population. Built with D3, it plots income (log scale) on the x-axis against life expectancy on the y-axis, with each country’s trajectory animated over time. The chart encodes region by color and displays a year indicator, allowing comparison of development trends between the two Sub-Saharan African nations.

AI-generated description

Built with blockbuilder.org

mit Licensed

Similar vizzes

Loading thumbnail…

fresh block

This scatterplot compares GDP and GDP per capita for 48 Sub-Saharan African nations in 2015, using data from a CSV file. Each circle represents a country, positioned by its gross domestic product on the x-axis and GDP per capita on the y-axis. The visualization highlights how most nations cluster below a $2,000 annual per-capita income, with only a few outliers like Equatorial Guinea and Seychelles reaching significantly higher values. Tooltips provide additional detail, and the chart is built with D3 v4 using SVG rendering, with an emphasis on the economic disparity across the region.

EEd190
71% 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
71% match
Loading thumbnail…

Basic Scatter Plot

This basic scatter plot visualizes the relationship between GDP per capita and life expectancy across countries, with each circle sized by population and colored by region. The data come from the World Wealth & Income Database and the Global Health Observatory. Implemented with D3 v4 and SVG rendering, the chart uses a linear x-axis for income and a linear y-axis for health expectancy. Circles are scaled by population using a square-root scale, and colors encode geographic region. The visualization is based on Curran's Stylized Scatter Plot with Color Legend.

ZZijunXu
71% match
Loading thumbnail…

activity6_question6

This scatterplot shows the relationship between GDP per capita and life expectancy across ten countries, with each point colored by continent and revealing a general trend where higher GDP aligns with longer lifespans. Built with D3 v7, the visualization uses `d3.scaleLinear` for both axes and `d3.scaleOrdinal` with `d3.schemeSet2` for continent colors. Data is loaded from `data.csv` via `d3.csv`, and interactive tooltips appear on hover using the `mousemove` event, displaying country name, GDP, and life expectancy.

MMili Patel
70% match
Loading thumbnail…

Basic Scatter Plot

This scatter plot visualizes the relationship between GDP per capita and health expectancy across countries, with each point sized by population and colored by region. The chart uses SVG and includes an animated highlight function that emphasizes individual data points on hover. Data on income and health expectancy come from the World Wealth & Income Database and the Global Health Observatory data repository, respectively, and the visualization is built with D3 v4, following a template referenced from Curran.

ZZijunXu
70% match
Loading thumbnail…

Activity6_Q3

This scatter plot shows the relationship between GDP per capita (in billions) and life expectancy for countries in 2015, sourced from a GitHub-hosted GDP dataset. It uses d3.csv to load the data, scales the GDP axis logarithmically via d3.scaleLog, and colors points using d3.scaleOrdinal with d3.schemeCategory10. SVG circles are rendered with D3's data join, and hover interactions display a tooltip showing country name, GDP, and life expectancy. The axes are labeled using d3.axisBottom and d3.axisLeft.

VVidya Lakshmi Chitturi
70% match
Loading thumbnail…

Global Data Scatter Plot

This scatter plot visualizes the relationship between GDP per capita and average life expectancy across countries, using circles colored by region from a Global Data dataset. Users can hover over the legend to highlight matching data points or click to toggle entire regions’ visibility, with opacity changes facilitating comparison. The visualization leverages d3.scaleOrdinal for color mapping, d3.scaleLinear for axes, and custom d3 axis-label helpers from @curran/axis-labels, rendering SVG circles with region-based classes.

Nnitinramagiri1@gmail.com
70% match
Loading thumbnail…

Activity6_Q6

This scatterplot displays the relationship between GDP per capita and life expectancy for ten countries, with each point colored by continent. Built with D3.js v7, the visualization uses `d3.csv` to load data, `d3.scaleLinear` for axes, and `d3.scaleOrdinal` with `d3.schemeSet2` for categorical coloring. Hovering over a circle triggers a tooltip showing country name, GDP, and life expectancy. The SVG rendering includes labeled axes and axis ticks generated via `d3.axisBottom` and `d3.axisLeft`.

Llokasaivenkatatammineedi@my.unt.edu
69% match