Scatter Plot with Menus

Scatter Plot

This scatter plot displays the population of ten countries, using a linear scale for the x-axis and a categorical point scale for the y-axis. Circles are positioned based on population and country name, with all points styled in steel blue. The visualization is built with D3 v5, using `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` to construct the chart. Data is loaded from a local CSV file and rendered as SVG, with grid lines and formatted tick labels showing population values in billions.

ZZY Huang

87% match

Scatter plot

A scatter plot visualizes the population of ten countries, using horizontal bars to represent each nation's total population. The data is loaded from a CSV file and rendered as SVG rectangles whose widths are scaled proportionally to population values. Built with D3 v5, the example employs `csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the chart, while manual DOM selection and appending via `select` and `append` manage the SVG elements.

87% match

Scatter plot

This chart displays population figures for ten countries using a scatter plot, where each circle’s horizontal position corresponds to its population value and its vertical position aligns with the country name. The visualization is built with D3 v5, using `scaleLinear` and `scalePoint` to map data, `axisBottom` and `axisLeft` for the axes, and SVG rendering. Data is loaded from a local CSV file and formatted with a compact tick format.

Kkaviya-ds

Scatter plot

This scatter plot visualizes population sizes for ten countries, using horizontal bars to display each nation's total population in thousands. The D3.js code loads data from a CSV file, maps population values to a linear scale for the x-axis, and uses a band scale for country names on the y-axis. SVG rectangles are rendered with a D3 selection, while axes are generated using the `axisLeft` and `axisBottom` functions. The visualization demonstrates basic DOM manipulation and data binding through D3's `csv` import and scale methods.

Making A Scatter Plot

This scatter plot uses a bar chart layout to compare the populations of ten countries, with each country’s population displayed along a linear scale. Built with D3 v5, the visualization loads data from a CSV file and uses `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to render SVG rectangles. The bars are styled with `fill: steelBlue`, and population values are multiplied by 1,000 during data loading.

Jjmmoser7

Scatter plot

A scatter plot displays population figures for ten countries using horizontal bars, with each bar’s length proportional to population. The visualization uses D3.js v5 with SVG rendering, employing `scaleLinear` for the x-axis and `scaleBand` for the categorical y-axis. Data from `data.csv` is loaded via `csv()`, and population values are multiplied by 1000. Axes are rendered with `axisLeft` and `axisBottom`, while rectangles are appended to the SVG group to represent the bars.

Scatter plot

scatter plot

A scatter plot displays population figures for ten countries, with each circle 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`, rendering SVG circles with a steelblue fill. Data comes from a CSV file, with populations multiplied by 1000 and formatted using `format('.3s')` to show billions. Gridlines extend across the plot, and axis labels are added via appended SVG text elements.

Llinkshady