Scatter plot

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 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

This scatter plot displays the population of the top ten most populous countries, with each circle positioned along the y-axis by country name and the x-axis by population count. The visualization uses D3 version 6’s `csv` to load data from a CSV file, `scaleLinear` for the x-axis, and `scalePoint` for the categorical y-axis. Axis lines are rendered with `axisBottom` and `axisLeft`, and ticks extend across the chart while grid lines and tick labels are styled via CSS. The SVG output is generated through D3’s selection API, with circles added using the `enter` pattern.

OOleg

scatter plot

This scatter plot displays the populations of the top ten most populous countries, with each circle representing a country along a categorical y-axis and its population on the linear x-axis. The visualization uses D3 v5 to load CSV data, scaleLinear and scalePoint for positioning, and axisBottom/axisLeft with tick formatting. Circles are rendered as SVG elements, with a title and rotated axis labels clarifying the data source, which lists countries and their populations in thousands.

Jjingwg3@163.com

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries. Each circle represents a country, positioned along a linear x-axis for population and a categorical y-axis for country name. The chart uses D3 v5, rendering as SVG, and employs `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` APIs. The data from `data.csv` is loaded via D3's `csv` function, with population values multiplied by 1000. The chart includes a title and axis labels, with a clean, margin-based layout.

Yyoghurtx

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries, using a categorical y-axis for country names and a linear x-axis for population counts. The D3 v6 code uses `select` and `csv` to load data, `scaleLinear` and `scalePoint` for scales, and `axisLeft` and `axisBottom` for axes. SVG circles are positioned with `cx` and `cy` attributes, and a formatted tick label converts values from G to B.

Sscarlet shao

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 blue circles positioned along a linear x-axis for population values and a point-based y-axis for country names. The visualization uses D3 v5 with `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft` to construct the axes and render SVG circles. Data is loaded from a CSV file and multiplied by 1000 to convert to full population counts. Grid lines are drawn via tick sizes, while axis labels and a title are added as SVG text elements.

Jjblaskovich