Scatter Plot

Scatter Plot

This scatter plot visualizes the populations of the ten most populous countries, with each circle positioned along the y-axis by country and the x-axis by population. It uses d3.scaleLinear and d3.scalePoint to map data from a CSV file, and renders axes with d3.axisLeft and d3.axisBottom. The SVG output includes grid lines, a title, and axis labels, with population formatted in billions.

IIan Russell

Scatter Plot

This scatter plot displays the population of the ten most populous countries, with each circle positioned along the y-axis by country and the x-axis by population value. It uses d3.csv to load the data, then d3.scaleLinear and d3.scalePoint to map population and country names to positions. The visualization includes axes with tick marks, a title, and uses SVG rendering with circles styled via CSS. Data is formatted using d3.format, and axes are created with d3.axisLeft and d3.axisBottom.

Pparkypoo

Scatter Plot

A scatter plot displays the population of the ten most populous countries, with each circle positioned along a linear scale for population and a point scale 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, with gridlines rendered via tick sizes. Circles are appended to an SVG container using D3's data join, and axis labels and a title are added as text elements.

BbeauMarko

Scatter Plot

This scatter plot displays the ten most populous countries, with population on the x-axis and country names on the y-axis. It reads population data from a CSV file using d3.csv, scales the values with scaleLinear and scalePoint, and renders circles via SVG. Axes are generated with axisBottom and axisLeft, while tick formatting uses the d3.format function to abbreviate large numbers.

JJames Gong

Scatter Plot

This scatter plot displays the population of the ten most populous countries, with each circle positioned along a horizontal linear scale for population and a vertical point scale for country names. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` to construct the axes. Population values are parsed from a CSV file and formatted with tick labels using `format('.3s')`, while gridlines are drawn via tick sizes.

1123fischer

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 ten most populous countries, with each circle positioned along a linear x-axis for population and a point scale y-axis for country names. The visualization uses d3.csv to load the data, d3.scaleLinear and d3.scalePoint for scaling, and d3.axisBottom with custom formatting to abbreviate large numbers. SVG circles are rendered via d3.select and data joins, with gridlines drawn through tick sizing.

HHasideluxe

Scatter Plot

This scatter plot displays the populations of the ten most populous countries, with each country positioned along the y-axis and its population on the x-axis. The visualization uses d3.csv to load the data, then applies d3.scaleLinear for the population axis and d3.scalePoint for the categorical country axis. D3’s axisBottom and axisLeft generate the gridlines and tick labels, with custom tick formatting converting values to abbreviated units. The chart renders as SVG circles styled with steelblue fill, and includes a title and axis label.

KKazushige Okuma