scatter plot

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, with circular markers positioned along a point scale for countries and a linear scale for population. The visualization uses d3.scaleLinear, d3.scalePoint, d3.axisLeft, and d3.axisBottom to construct the chart, with axis tick formatting converting large numbers to abbreviated forms. The code loads data via d3.csv, appends SVG circles with a fixed radius, and includes grid lines through tick sizing, a title, and an axis label.

Rrishyossarian

Scatter Plot

A scatter plot displays the population of the top 10 most populous countries, using 2018 estimates from the United Nations World Population Prospects. The chart encodes country on the y-axis and population on the x-axis, with circles positioned by d3.scaleLinear and d3.scalePoint. The code renders SVG elements via D3 v5, using d3.csv to load data, and custom axes with tick formatting that abbreviates large numbers (e.g., converting G to B).

MMargarita Chernetski

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

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 code leverages d3.csv, scaleLinear, scalePoint, axisBottom, and axisLeft to render the chart as SVG, with circles for each country and formatted tick labels. Data originates from the 2018 United Nations World Population Prospects estimate.

Mmellerjakub88

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. The visualization uses D3 v6 with SVG rendering to position circles along categorical y-axis points and a linear x-axis. It employs `d3.scaleLinear`, `d3.scalePoint`, `d3.axisLeft`, and `d3.axisBottom` to create the chart, with population values formatted from thousands to billions using `d3.format`. Background grid lines extend from both axes, and the data is loaded asynchronously via `d3.csv`.

Ddata-inside

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 using data from the 2018 United Nations World Population Prospects estimate. It shows each country as a circle positioned by population on the x-axis and country name on the y-axis. The visualization uses d3.scaleLinear and d3.scalePoint for scaling, d3.axisLeft and d3.axisBottom for axes, and renders with SVG. The code also customizes axis tick formatting and removes axis domains for a cleaner appearance.

Zztawil

Scatter Plot

This scatter plot visualizes the population of the top 10 most populous countries using 2018 estimates from the United Nations World Population Prospects. The code uses D3 v5 with SVG rendering, employing `scaleLinear` for the x-axis and `scaleBand` for the y-axis. It customizes axes with `axisLeft` and `axisBottom`, formats tick labels with `format('.3s')`, and adds a title and axis label. Data is loaded from a CSV file via `csv()`.

Llerik03