Scatter Plot

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 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 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

ScatterPlot

A scatterplot displays the population of the ten most populous countries, with each circle’s position encoding population on the x-axis and country on the y-axis. The visualization uses d3.csv to load data, d3.scaleLinear and d3.scalePoint for scaling, and d3.axisBottom and d3.axisLeft with grid lines. Circles are appended as SVG elements with a fixed radius, while axis labels and a title are added via d3 selections. The chart renders population values in thousands, formatted with d3.format.

SSagar Malviya

Scatter Plot

A scatter plot displays population counts for the top ten most populous countries, with countries on the y-axis and population on the x-axis. The visualization uses d3.csv to load the data, d3.scaleLinear for the x-axis, and d3.scalePoint for the y-axis. Circles are rendered as SVG elements, with axes generated via d3.axisBottom and d3.axisLeft, and tick labels formatted using d3.format.

Iikimes

Scatter Plot

This scatter plot shows the population of the top 10 most populous countries, with each circle positioned along a linear population scale and a point scale for country names. The visualization uses d3.csv to load data, d3.scaleLinear and d3.scalePoint for axes, and d3.axisLeft and d3.axisBottom with customized tick formatting that abbreviates billions as "B." Circles are rendered as SVG elements with a fixed radius, while grid lines and axis labels are styled via CSS.

Nnick-yadav

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