Scatter Plot to Linear Chart

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries using a linear x-scale for population values and a point y-scale for country names. The visualization uses D3 v5’s `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` to render an SVG with gridlines and labeled axes. Data is loaded from a CSV file, with population values multiplied by 1000. Circles are appended to represent each country, with a title annotation and formatted tick labels that abbreviate large numbers.

SSimmer999

Scatter Plot

This example visualizes the top 10 most populous countries using a scatter plot, where each circle represents a country positioned along a linear population axis and a categorical country axis. The population data is loaded from a CSV file and rendered as SVG circles. The visualization uses D3 version 6 APIs including `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` to construct the chart, with tick formatting that abbreviates large numbers and grid lines extending across the plot.

Iihatelearning

Scatter Plot

A scatter plot displays the population of the top 10 most populous countries, with each circle representing a country positioned along a linear population scale and a point scale for country names. The visualization uses d3.scaleLinear and d3.scalePoint to map data from the CSV file, with d3.axisLeft and d3.axisBottom generating gridlines and tick labels formatted via d3.format. Circles are rendered as SVG elements, and the chart includes a title and axis label, all styled through CSS.

JJordan Arnold

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries, with each circle positioned along a linear x-axis for population values and a point scale on the y-axis for country names. The visualization uses d3.csv to load data, d3.scaleLinear and d3.scalePoint for positioning, and d3.axisBottom with a custom tick formatter to display population in billions. Grid lines extend across the plot, circles are rendered in steelblue via SVG, and a title clarifies the chart’s purpose.

CClara Hu

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 visualization employs D3 v5 APIs including `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft`, rendering SVG circles with fixed radii. Data is loaded from a CSV file with d3.csv, and population values are converted to numbers and multiplied by 1000. The chart includes formatted axis tick labels using d3.format’s `.3s` notation and gridlines via negative tick sizes.

Aandy-yc-lin

Scatter Plot

This scatter plot shows the population counts of the top 10 most populous countries, with each country positioned along a categorical y-axis and a linear x-axis scaled to population values. The visualization uses D3 v5 APIs including `scaleLinear`, `scalePoint`, `axisLeft`, `axisBottom`, and `format` to render the SVG output. Data is loaded from a CSV file and processed by multiplying the population figures, with circle marks and axis labels styled via CSS.

JJasonXQH

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries, with each country positioned along a point scale on the y-axis and its population on a linear x-axis. The visualization uses D3 v5 (d3.scaleLinear, d3.scalePoint, d3.axisLeft, d3.axisBottom) to render SVG circles. Population values, loaded from a CSV, are formatted with d3.format (e.g., “1.43B”), and grid lines are created using tickSize on the axes.

CCaleb

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries, with circles positioned along a linear x-axis for population and a point-based y-axis for country names. The visualization uses d3.csv to load the data, d3.scaleLinear and d3.scalePoint for scaling, and d3.axisBottom and d3.axisLeft for axes, rendered as SVG circles with a steelblue fill. Grid lines are drawn via tick sizes, and the x-axis labels are formatted using d3.format.

Nntds12