Scatter Plot

Scatter Plot

This scatter plot displays the populations of the top 10 most populous countries, using circles positioned along a linear x-axis for population values and a point scale y-axis for country names. The code leverages d3.csv, d3.scaleLinear, d3.scalePoint, d3.axisBottom, and d3.axisLeft to render an SVG visualization with gridlines. Data comes from the United Nations World Population Prospects 2019, with population values scaled by 1,000. The chart includes formatted tick labels and a title, with a steelblue fill for each circle.

Aarun-subba

Scatter Plot

This scatter plot displays the population of the 10 most populous countries, based on 2018 United Nations estimates. It shows the data as circles positioned along a linear x-axis for population and a point scale y-axis for country names. Built with D3 v5, the visualization uses `csv` to load data, `scaleLinear` and `scalePoint` for scales, and `axisBottom` and `axisLeft` for axes. The code formats tick labels using `format` and renders the chart as SVG.

Rram-iyer

Scatter Plot

This scatter plot visualizes the population of the top 10 most populous countries, with circles positioned along a linear population scale and a point scale for country names. The code uses d3.scaleLinear, d3.scalePoint, d3.axisLeft, and d3.axisBottom to render the axes and plot, while custom tick formatting converts large numbers to abbreviated units. Data comes from the 2018 United Nations World Population Prospects estimate, loaded via d3.csv from a local CSV file, and rendered as SVG circles with a fixed radius.

Sshanmango

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries using a linear scale for population and a point scale for country names. The code leverages d3.csv, scaleLinear, scalePoint, axisBottom, and axisLeft to render the chart as SVG, with circles for each country and formatted tick labels. Data originates from the 2018 United Nations World Population Prospects estimate.

Mmellerjakub88

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 visualizes the population of the 10 most populous countries in 2018, using data from the United Nations World Population Prospects. It displays each country as a circle positioned along a linear population scale on the x-axis and a point scale for country names on the y-axis. The visualization uses d3.csv to load data, scaleLinear and scalePoint for scaling, and axisBottom with custom tick formatting to display populations in billions. The rendering uses SVG circles and axes with grid lines, styled with CSS.

LLonwabo11

Scatter Plot

This scatter plot displays the populations of the top 10 most populous countries in 2018. It uses D3 v5 with SVG rendering to create a clear, labeled visualization. The code employs `scaleLinear` and `scalePoint` for positioning, `axisLeft` and `axisBottom` for the axes, and format specifiers to abbreviate large population numbers. Data is loaded from a local CSV file containing country names and population estimates from the United Nations World Population Prospects.

Aadvaitkulkarni08

Scatter Plot

This scatter plot visualizes the top 10 most populous countries using circles positioned along a point scale for country names and a linear scale for population values from the 2018 UN World Population Prospects estimate. The code uses D3 v5 APIs including `csv`, `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` to render SVG elements, with tick formatting converting values to billions. Circle radii are fixed at 18 pixels, and gridlines extend across the plot area. The visualization features a title and axis labels, with data loaded from a local CSV file.

Ddtdenver