Scatter Plot

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. Each circle represents a country, positioned along a linear population scale and a point-based categorical scale for country names, with a bar-chart-like layout. The visualization is built with d3.csv, d3.scaleLinear, d3.scalePoint, axisBottom, and axisLeft, rendering circles as SVG elements. Population values are formatted with d3.format and converted from thousands, with axes extended by grid lines via tickSize.

MMounikaBeerelly

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries in 2018, sourced from the United Nations World Population Prospects. Each circle represents a country, plotted along a linear population axis (formatted in billions) against a categorical country axis. The chart uses d3’s `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft` APIs to construct the SVG visualization. Circles are rendered with a fixed radius, and gridlines extend from the x-axis ticks.

Ddanrhymes

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. The visualization uses D3 v6 with SVG rendering to position circles along categorical y-axis points and a linear x-axis. It employs `d3.scaleLinear`, `d3.scalePoint`, `d3.axisLeft`, and `d3.axisBottom` to create the chart, with population values formatted from thousands to billions using `d3.format`. Background grid lines extend from both axes, and the data is loaded asynchronously via `d3.csv`.

Ddata-inside

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. Each circle’s horizontal position encodes population size, while the vertical axis lists country names. The visualization uses D3 v5 with `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft` to construct the chart, rendering as SVG. Data is loaded from a CSV file, with population values multiplied by 1000 for display.

IIyke2909

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries using data from the 2018 United Nations World Population Prospects estimate. It shows each country as a circle positioned by population on the x-axis and country name on the y-axis. The visualization uses d3.scaleLinear and d3.scalePoint for scaling, d3.axisLeft and d3.axisBottom for axes, and renders with SVG. The code also customizes axis tick formatting and removes axis domains for a cleaner appearance.

Zztawil

Scatter Plot

This scatter plot displays the populations of the top 10 most populous countries based on 2018 estimates from the United Nations World Population Prospects. The visualization uses d3.scalePoint for the categorical country axis and d3.scaleLinear for the population axis, with circles sized at a fixed radius. SVG rendering is implemented through d3 v5, featuring axis functions d3.axisLeft and d3.axisBottom with custom tick formatting that abbreviates numbers using the d3.format method, replacing 'G' with 'B' for billions.

LLeora Wenger

Scatter Plot

LLeora Wenger

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries, with each circle positioned by population on the x-axis and country on the y-axis. The data comes from the 2018 United Nations World Population Prospects estimate. The visualization uses D3 version 5, with scaleLinear and scalePoint for axes, axisBottom and axisLeft for ticks, and SVG circles for points, styled with steelblue fill.

TThomas Seberechts