Scatter Plot

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

A scatter plot displays the population of the top ten most populous countries, with each circle positioned along a linear population axis and a point scale for country names. The visualization uses D3 v6 with SVG rendering, employing `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft` to construct the chart. Data is loaded from a CSV file via `d3.csv`, with population values converted from thousands to absolute numbers. Grid lines extend through the plot area, and axis labels are formatted using `format('.3s')` to abbreviate large numbers.

GGordon Yang

PPedro Ernesto Tramontina

Scatter Plot

A scatter plot displays the population of the top 10 most populous countries, with each country represented as a circle positioned along a linear population scale and a point scale for country names. The visualization uses D3 v5 with SVG rendering, loading data from a CSV file via `d3.csv` and converting population values to numbers. Axes are generated with `d3.axisBottom` and `d3.axisLeft`, including grid lines and a custom tick format that abbreviates large numbers, while the title and axis label are added as text elements.

Scatter Plot

A scatter plot displays the population of the top 10 most populous countries, with each country positioned along a point scale and its population on a linear axis. Circles sized at a fixed radius mark the data points, while gridlines and labeled axes provide context. The visualization uses D3 v7 with `scalePoint` for the categorical y-axis, `scaleLinear` for the population axis, and SVG circles to render the chart from a CSV file.

KKaleb LaBarrie

Scatter Plot

A scatter plot displays the population of the top ten most populous countries using circles positioned along a linear x-axis (population count) and a point-based y-axis (country names). The visualization is rendered as SVG using D3 v5, with axes generated via axisBottom and axisLeft, while scaleLinear and scalePoint map the data values. Population values are loaded from a CSV file and multiplied by 1000, with tick labels formatted using D3’s format function to abbreviate large numbers (e.g., ’1.4B’).

SSam Lite

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

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

A scatter plot displays the top 10 most populous countries, with each country positioned along the y-axis and its population on the x-axis. Circles mark the data points, and the chart includes labeled axes and a title. The visualization uses D3 v5 with `d3.csv`, `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom`, rendering as SVG. Population values are multiplied by 1,000 and formatted using `d3.format`, with grid lines extending across the plot.

Ccyro666