Scatter Plot

Scatter Plot

A scatter plot displays the population of the top 10 most populous countries, with circles positioned along a linear x-axis for population values and a point scale y-axis for country names. The visualization uses D3 v6 APIs including `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom`, rendered as SVG. Data loads from a CSV file via `d3.csv`, with population values converted from thousands. Grid lines, tick formatting, and an axis label enhance readability.

Llarsboergo

PPedro Ernesto Tramontina

Scatter Plot

A scatter plot displays the population of the top 10 most populous countries, with each country represented as a circle positioned along a linear population scale and a point scale for country names. The visualization uses D3 v5 with SVG rendering, loading data from a CSV file via `d3.csv` and converting population values to numbers. Axes are generated with `d3.axisBottom` and `d3.axisLeft`, including grid lines and a custom tick format that abbreviates large numbers, while the title and axis label are added as text elements.

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries, using a linear scale for population and a point scale for country names. The visualization employs D3 v5 APIs including `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft`, rendering SVG circles with fixed radii. Data is loaded from a CSV file with d3.csv, and population values are converted to numbers and multiplied by 1000. The chart includes formatted axis tick labels using d3.format’s `.3s` notation and gridlines via negative tick sizes.

Aandy-yc-lin

Scatter Plot

A scatter plot displays the population of the top 10 most populous countries, with each circle representing a country positioned along a linear population scale and a point scale for country names. The visualization uses d3.scaleLinear and d3.scalePoint to map data from the CSV file, with d3.axisLeft and d3.axisBottom generating gridlines and tick labels formatted via d3.format. Circles are rendered as SVG elements, and the chart includes a title and axis label, all styled through CSS.

JJordan Arnold

Scatter Plot

A scatter plot displays the population of the top 10 most populous countries, with each country represented by a circle positioned along a linear scale for population and a point scale for country names. The visualization uses D3 v5 APIs including `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom`, rendering as SVG. Population values from the CSV are multiplied by 1,000, and the x-axis tick labels format large numbers using D3's `format` function. Grid lines extend across the chart via tick sizes, while axis labels and a title annotate the plot.

Llinh-pham-nz

Scatter Plot

A scatter plot displays population counts for the top ten most populous countries, with countries on the y-axis and population on the x-axis. The visualization uses d3.csv to load the data, d3.scaleLinear for the x-axis, and d3.scalePoint for the y-axis. Circles are rendered as SVG elements, with axes generated via d3.axisBottom and d3.axisLeft, and tick labels formatted using d3.format.

Iikimes

Scatter Plot

This scatter plot displays the populations of the top 10 most populous countries, with each circle positioned along a point scale for country names and a linear scale for population values. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` to construct the chart. Population data is loaded from a CSV file, and axis tick labels are formatted using `format` with abbreviations like "B" for billions. The chart includes grid lines, an axis label, and a title, with circles styled in steelblue.

Kkkwyoung

Scatter Plot

A scatter plot displays the population of the top ten most populous countries, with each circle positioned along a linear x-axis for population and a point scale y-axis for country names. The visualization is rendered as SVG using D3 v5, with axis labels, tick marks, and a title. The code loads population data from a CSV file, multiplies each value by one thousand, and uses `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft` to construct the chart.

Ccindy203cc