Axis

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 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 population of the ten most populous countries, with each country positioned along the vertical axis and its population on the horizontal axis. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear` for the x-axis, `scalePoint` for the y-axis, and `axisBottom` and `axisLeft` to generate the gridlines and ticks. Data is loaded from a CSV file, and population values are formatted with the `format` API to abbreviate large numbers. The circles are uniformly styled with steelblue fills.

GGino Dzin

Scatter Plot

This scatter plot displays the population of the ten most populous countries, with circles positioned along a linear scale for population and a point scale for country names. The visualization uses D3 v5 APIs including `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` to render SVG elements. Population values from the CSV file are multiplied by 1000 and formatted with a custom tick formatter that converts billions to "B". Grid lines extend across the chart via tick sizes, and the data originates from the 2018 World Population Prospects estimate.

BbeauMarko

Scatter Plot

This scatter plot displays the populations of the ten most populous countries, with each circle positioned along a categorical y-axis and a linear x-axis. The visualization uses D3 v6 with SVG rendering, employing `scaleLinear` and `scalePoint` for scaling, along with `axisLeft` and `axisBottom` to generate axes. Population data is loaded from a CSV file and converted to absolute numbers, while custom tick formatting abbreviates large values. The chart includes a title and axis labels, with gridlines created via tick sizes.

WWayne716

Scatter plot: Quantitative

This visualization displays the population of the nine most populous countries as a scatter plot, with countries listed on the y-axis and population values on the x-axis. The D3.js v5 code uses `scaleLinear` and `scalePoint` to position circles, and `axisLeft` and `axisBottom` to render the axes, with population labels formatted in billions using `format`. Data is loaded from a CSV file and scaled by a factor of 1,000.

SShane Carey

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 populations of the ten most populous countries, with circles positioned along a linear population axis and a point scale for country names. The visualization uses D3 v5 APIs including `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft`, reading data from a CSV file. Population values are multiplied by 1000, formatted with ticks using `format('.3s')`, and rendered as steelblue circles in an SVG. Grid lines extend across the plot, with axes labels and a title.

SSamuel Elbaz