Scatter Plot

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries, using data from the 2017 United Nations World Population Prospects. The code uses D3 v5 to create an SVG visualization with circles positioned by d3.scaleLinear for population and d3.scalePoint for country names. Axes are customized with d3.axisBottom and d3.axisLeft, including tick formatting that converts values to billions. The chart includes axis labels and a title, with styling applied through external CSS.

Hhberrong

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries, with each circle positioned by population on the x-axis and country on the y-axis. The data comes from the 2018 United Nations World Population Prospects estimate. The visualization uses D3 version 5, with scaleLinear and scalePoint for axes, axisBottom and axisLeft for ticks, and SVG circles for points, styled with steelblue fill.

TThomas Seberechts

Scatter Plot

A scatter plot displays the populations of the top 10 most populous countries from the 2018 United Nations World Population Prospects estimate. Each circle’s horizontal position corresponds to its population value, while its vertical position is determined by country name along a point scale. The visualization uses d3.scaleLinear and d3.scalePoint to map data, with d3.axisBottom and d3.axisLeft generating labeled axes. Circle elements are rendered in SVG, and the code applies a custom tick formatter using d3.format to abbreviate large numbers with a 'B' suffix.

Aaxliao

Scatterplot

This scatterplot visualizes the population of the top 10 most populous countries using data from the 2017 United Nations World Population Prospects. Each circle represents a country, with its horizontal position encoding population size and its vertical position encoding country name. The visualization uses D3 v5 to create SVG output with axes, tick marks, and labels. It employs `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft` to map the data, and the chart includes a title and population axis label.

TTristan Schrader

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. Each circle’s horizontal position encodes population size, while the vertical axis lists country names. The visualization uses D3 v5 with `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft` to construct the chart, rendering as SVG. Data is loaded from a CSV file, with population values multiplied by 1000 for display.

IIyke2909

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries in 2018, sourced from the United Nations World Population Prospects. Each circle represents a country, plotted along a linear population axis (formatted in billions) against a categorical country axis. The chart uses d3’s `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft` APIs to construct the SVG visualization. Circles are rendered with a fixed radius, and gridlines extend from the x-axis ticks.

Ddanrhymes

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries, based on 2020 estimates from the United Nations World Population Prospects. Each circle represents a country, positioned along the y-axis by name and the x-axis by population count. The visualization utilizes D3 v6 APIs including `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft`, rendering as SVG. Population data from a CSV file is loaded and scaled, with grid lines and axis labels formatted using D3’s `format` function.

AAnthony Ynami

Scatter Plot

This scatter plot displays the population of the top 10 most populous countries in 2018, using data from the United Nations World Population Prospects. The chart maps each country’s population on the x-axis with a linear scale and country names on the y-axis using a point scale. It implements custom D3 axes with tick formatting that abbreviates large numbers, and circles are rendered with SVG. The code uses d3.csv, scaleLinear, scalePoint, axisBottom, and axisLeft from D3 v5.

Aandyj09