Scatter Plot

Scatter Plot

A scatter plot displays the ten most populous countries from 2018 United Nations estimates, with circular marks positioned by population on a linear x-axis and country categories on a point scale y-axis. The visualization uses d3.csv to load data, then d3.scaleLinear and d3.scalePoint for scaling, with d3.axisBottom and d3.axisLeft for labeled gridlines. Population figures are formatted using d3.format and rendered as a static SVG, with styling applied via CSS classes for ticks, axis labels, and the title.

Ddanrhymes

Scatter Plot

Ddanrhymes

Scatter Plot

This scatter plot displays the population of the top ten most populous countries, with each country represented as a circle positioned along a linear population axis and a categorical country axis. The data comes from the 2018 estimate in the United Nations World Population Prospects. Built with D3 v5, the visualization uses `d3.scaleLinear` and `d3.scalePoint` for axes, `d3.axisLeft` and `d3.axisBottom` for ticks, and SVG circles with a radius of 10 pixels. The code reads data from a CSV file, multiplies the population values by 1000, and renders the chart within an SVG canvas with custom margins and grid lines.

IIsabel

Scatter Plot

This scatter plot visualizes the population of the 10 most populous countries in 2018, using data from the United Nations World Population Prospects. It displays each country as a circle positioned along a linear population scale on the x-axis and a point scale for country names on the y-axis. The visualization uses d3.csv to load data, scaleLinear and scalePoint for scaling, and axisBottom with custom tick formatting to display populations in billions. The rendering uses SVG circles and axes with grid lines, styled with CSS.

LLonwabo11

Scatter Plot

This scatter plot displays the population of the ten most populous countries, with circles 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` to render SVG elements. Population values from the CSV file are multiplied by 1000 and formatted with a custom tick formatter that converts billions to "B". Grid lines extend across the chart via tick sizes, and the data originates from the 2018 World Population Prospects estimate.

BbeauMarko

Scatter Plot

A scatter plot shows the population of the ten most populous countries, listing each country along the y-axis and its population on the x-axis. The data originates from an unspecified UN source and is processed from a CSV file. Built with D3 v5, the visualization uses `scaleLinear` and `scalePoint` to map values, while `axisLeft` and `axisBottom` generate the grid lines and ticks. Circles are rendered as SVG elements, with a formatted tick label replacing 'G' with 'B' for billions.

Iianleekq

Scatter Plot

This scatter plot displays the population of the ten most populous countries, with each country positioned along the vertical axis and its population on the horizontal axis. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear` for the x-axis, `scalePoint` for the y-axis, and `axisBottom` and `axisLeft` to generate the gridlines and ticks. Data is loaded from a CSV file, and population values are formatted with the `format` API to abbreviate large numbers. The circles are uniformly styled with steelblue fills.

GGino Dzin

Scatter Plot

This scatter plot displays the population of the 10 most populous countries, based on 2018 United Nations estimates. It shows the data as circles positioned along a linear x-axis for population and a point scale y-axis for country names. Built with D3 v5, the visualization uses `csv` to load data, `scaleLinear` and `scalePoint` for scales, and `axisBottom` and `axisLeft` for axes. The code formats tick labels using `format` and renders the chart as SVG.

Rram-iyer