scatterplot

Scatterplot

This scatterplot displays the population of the top four most populous countries, using a linear scale for the x-axis and a band scale for the y-axis. The graphic renders as horizontal bars, with each country’s bar length proportional to its population. The visualization is built with D3 v6, using `scaleLinear`, `scaleBand`, `axisBottom`, and `axisLeft` to construct the chart within an SVG element. Data is loaded from a CSV file and formatted with D3’s `format` function, with gridlines and axis labels styled via CSS.

PPiotr Paszek

90% match

Scatter Plot

This scatter plot displays the population of eight countries, with each circle positioned along a horizontal axis scaled by population and a vertical axis listing country names. The visualization uses D3 v6 APIs including `csv`, `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` to render SVG circles and labeled axes. Data from a CSV file is parsed, with population values multiplied by 1000, and formatted using a custom tick formatter that converts abbreviations to billions. The chart includes gridlines, axis labels, and a title, all styled via external CSS.

BBKirst3

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 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

This scatter plot displays the population of ten countries as horizontal bars, with each country’s name on the y-axis and its population value on the x-axis. The visualization uses d3.csv to load the data, d3.scaleLinear for the x-axis, and d3.scaleBand for the y-axis. It renders SVG rectangles, with axes generated via d3.axisLeft and d3.axisBottom, and applies a 1000 multiplier to the raw population numbers during data formatting.

Ddavidpiber

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 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.