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 2017. Each circle represents a country, positioned along a linear x-axis for population and a point scale y-axis for country names. The code uses d3.csv, scaleLinear, scalePoint, axisBottom, axisLeft, and format to render the SVG chart with a custom tick formatter, grid lines, and axis labels.

YYedrup

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries in 2018, using data from the United Nations World Population Prospects. The chart maps each country’s population on the x-axis with a linear scale and country names on the y-axis using a point scale. It implements custom D3 axes with tick formatting that abbreviates large numbers, and circles are rendered with SVG. The code uses d3.csv, scaleLinear, scalePoint, axisBottom, and axisLeft from D3 v5.

Aandyj09

Scatter plot

A scatter plot displays the population of the top 10 most populous countries, based on 2018 United Nations estimates. The SVG chart uses a linear scale for population on the x-axis and a point scale for country names on the y-axis, with circles sized uniformly. It relies on d3.csv, d3.scaleLinear, d3.scalePoint, d3.axisLeft, and d3.axisBottom. Axis tick lines extend across the plot, and population labels are formatted with commas and “B” for billions.

JJacob van Lingen

Scatter Plot

A scatter plot displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects 2019. Each circle’s vertical position corresponds to a country, while its horizontal position reflects population size on a linear scale. The visualization uses D3 v5’s `csv` loader, `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` to render SVG circles and gridlines, with tick labels formatted in billions.

AAbhijit Roy

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries, using data from the 2017 United Nations World Population Prospects. The code uses D3 v5 to create an SVG visualization with circles positioned by d3.scaleLinear for population and d3.scalePoint for country names. Axes are customized with d3.axisBottom and d3.axisLeft, including tick formatting that converts values to billions. The chart includes axis labels and a title, with styling applied through external CSS.

Hhberrong

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

A scatter plot displays the population of the top 10 most populous countries, using circles positioned along a linear scale for population and a point scale for country names. The data originates from the 2018 United Nations World Population Prospects estimate, loaded via d3.csv. The visualization uses D3 v7's scaleLinear, scalePoint, axisBottom, and axisLeft to render the SVG chart, with formatted tick labels and a population axis label.

Yyejichun@naver.com

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 v5 with SVG rendering, employing `scaleLinear` for the population axis and `scalePoint` for country categories. D3 axes are customized with tick formatting that converts numbers to abbreviated units and grid lines extending across the chart. The code reads data from a CSV file and multiplies population values by 1,000 to reflect actual figures.

SSimon Pettersson