Scatter plot

Scatter plot

This scatter plot visualizes population data for ten countries, using horizontal bars to represent the population of each nation. The chart reads a CSV file containing country names and population figures, which are then scaled and rendered as SVG rectangles. Built with D3 v5, the code uses `scaleLinear` for the x-axis and `scaleBand` for the y-axis, populating the bars via `selectAll` and `append`.

97% match

Scatter plot

97% match

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.

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.

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 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.

Scatter plot

This scatter plot displays the population of ten countries using a bar-style layout, with each country positioned along a band scale and bar width proportional to population values loaded from a CSV file. Built with D3.js v5, the visualization uses `d3.csv` for data loading, `scaleLinear` and `scaleBand` to map population and country names to SVG coordinates, and renders axes via `axisLeft` and `axisBottom`. The SVG canvas is populated with rectangles whose widths derive from the x-scale, while the y-axis labels countries in descending order of population.