d3 Scatter Plot

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 country's name on the y-axis and its population on the x-axis. Using D3 v5, the code loads data from a CSV file, scales the x-axis linearly and the y-axis with `scalePoint`, and renders circles with a fixed radius. The chart includes formatted tick labels using `format('.3s')` and axis labels via `axisBottom` and `axisLeft`.

DD0no

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

This example shows the ten most populous countries, plotting each country’s population along a horizontal linear scale. Using d3.scaleLinear and d3.scalePoint, the SVG circles represent countries, with a formatted axis displaying population values. The code loads data from a CSV file using d3.csv, applies a d3.axisBottom and d3.axisLeft with tick lines, and styles the chart via external CSS.

Jjhofang

Scatter plot

This scatter plot displays the population of the ten most populous countries, with each circle’s horizontal position and vertical alignment corresponding to population size and country name. The visualization uses D3 v5’s `scaleLinear` and `scalePoint` to map data, with `axisBottom` and `axisLeft` for axes. Population values are preprocessed by multiplying the CSV data by 1,000 before rendering in SVG. The chart includes a formatted x-axis and labeled title.

XX. N. Chu

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 with D3.js

This scatter plot displays the population of the top 10 most populous countries, with countries arranged on the y-axis and population values on the x-axis. Built with D3.js v7, it uses `scaleLinear` and `scalePoint` to map data from a CSV file to SVG coordinates, with circles rendered for each country. The chart includes grid lines via `axisBottom` and `axisLeft`, and formats population numbers using `format('.3s')` to display values in billions.

CCarloWK1202

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