Scatter Plot

Scatter Plot

This scatter plot displays population data for ten countries, with each country positioned along the y-axis and its population plotted on the x-axis using a linear scale. The visualization uses D3 v6 with SVG rendering, employing `d3.scaleLinear` and `d3.scalePoint` for axes, while `d3.axisLeft` and `d3.axisBottom` generate ticks with a custom number formatter that converts large values to billions. Data comes from a CSV file showing 2018 population figures, which are multiplied by 1000 during processing. The chart includes a title, axis labels, and a steel-blue circle for each country.

CChristine Lanser

88% match

Scatter Plot

This scatter plot visualizes population data for seven countries, using a categorical y-axis and a quantitative x-axis to show each nation’s total population as a large steelblue circle. The chart is rendered as an SVG using D3 v5, with scales created via `scaleLinear` and `scalePoint`, axes generated by `axisBottom` and `axisLeft`, and population tick labels formatted with `format`. The data is loaded from a CSV file, and the y-axis labels are positioned along a vertical scale.

NNikki-gea

86% match

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

This scatter plot visualizes population data for ten countries, using horizontal bars whose lengths correspond to each nation's population count. The chart reads population values from a CSV file and scales them by a factor of one thousand. Built with D3.js v5, the visualization employs `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis, appending SVG rectangles to represent the data points. The example demonstrates fundamental SVG rendering and data-binding techniques within the D3 framework, with styling controlled by an external CSS file.

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

Scatter plot

A scatter plot displays the population of ten countries using horizontal bars positioned along a linear scale, with country names on a band scale. The visualization loads population data from a CSV file and renders it as an SVG using D3.js v5. The code employs `d3.csv`, `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` to construct the chart, transforming raw population values by multiplying them by 1,000. Bar widths correspond to population totals, while the y-axis lists each country in descending order.