Scatter Plot with D3.js

Scatter Plot with D3.js

This scatter plot displays the population of the top 10 most populous countries, with countries arranged on the y-axis and population values on the x-axis. Built with D3.js v7, it uses `scaleLinear` and `scalePoint` to map data from a CSV file to SVG coordinates, with circles rendered for each country. The chart includes grid lines via `axisBottom` and `axisLeft`, and formats population numbers using `format('.3s')` to display values in billions.

CCarloWK1202

Scatter Plot!

This scatter plot visualizes the top 10 most populous countries using a CSV data source. The code uses d3.scaleLinear for the x-axis (population) and d3.scalePoint for the y-axis (country names), with circles rendered as SVG elements. D3's axisLeft and axisBottom generators, along with custom tick formatting via d3.format, display the axes. The chart includes gridlines, labeled axes, and a title, all styled through external CSS.

NNathan Cheever

Scatter Plot

This scatter plot displays the top 10 most populous countries, using circles positioned along a linear population scale and a point-based country axis. The visualization encodes each nation’s population with a circle’s horizontal placement, while vertical positioning separates countries for readability. The code leverages d3.csv for data loading, d3.scaleLinear and d3.scalePoint for scaling, and d3.axisLeft and d3.axisBottom to render labeled axes. Population values from the data file are multiplied by 1,000 and formatted with d3.format, with the SVG output styled using CSS.

Iisaachowen

Scatter Plot

This scatter plot displays the top 10 most populous countries, mapping population on the x-axis and country names on the y-axis. It uses d3.csv to load the data, d3.scaleLinear for the x-axis, and d3.scalePoint for the categorical y-axis. The code renders SVG circles and axes using d3.axisLeft and d3.axisBottom, with a formatted tick label using d3.format.

DDhaval Potdar

Scatter Plot

This scatter plot displays the top 10 most populous countries, with each country’s population plotted along the horizontal axis and its name along the vertical axis. The visualization uses D3 v6 with an SVG rendering approach, leveraging `scaleLinear` and `scalePoint` for axes, and `csv` to load population data from `data.csv`. The chart includes custom tick formatting via `format('.3s')` and styled grid lines, with circles colored steelblue on a yellow background.

Ssmosgasbord

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

This scatter plot visualizes the population of the top 10 most populous countries, with each circle’s horizontal position encoding population and vertical position encoding country name. It uses d3.scaleLinear for the x-axis, d3.scalePoint for the y-axis, and d3.axisBottom and d3.axisLeft for ticks. Data is loaded from a CSV and formatted with d3.format, rendering as SVG circles within styled axes and a title.

CCatriona

Scatter plot

This scatter plot shows the population of the top 10 most populous countries, with each circle representing a country and positioned along the x-axis by its population. The chart is rendered as an SVG using D3 v7, with axes created through `axisBottom` and `axisLeft` functions. Data is loaded from a local CSV file using D3's `csv` function, then scaled with `scaleLinear` and `scalePoint`. The visualization includes grid lines from tick marks and a custom format function that converts numbers to readable units.

Ttheaddies