Cars SCatter Plot

Cars Scatter Plot

The scatter plot displays the top 10 most populous countries, with population on the x-axis and country names on the y-axis, rendered as clustered crimson circles. It uses D3 v7’s `scaleLinear`, `axisBottom`, and `axisLeft` to construct the chart, with `format` for tick labels and a custom title. Data is loaded from `data.csv` via `csv()`, and the SVG view is fixed at 960×500 pixels.

CChangbeom Shim

Cars Scatter Plot

A scatter plot displays the population of the top ten most populous countries, using a linear scale for the x-axis and a point scale for the y-axis. Circles are positioned by population and country, with a title and axis labels. The visualization is built with D3 v5, using `csv` to load data, `scaleLinear` and `scalePoint` for scaling, and `axisBottom` and `axisLeft` to render axes. SVG is used for rendering.

Jjhofang

Cars Scatter Plot

This scatter plot displays the population of the top 10 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 uses D3 v5 APIs including `scaleLinear`, `scalePoint`, `axisBottom`, and `axisLeft` to render an SVG chart. Population values from the CSV are multiplied by 1000, and axis tick labels are formatted using `d3.format` with abbreviations. The chart includes grid lines, a title, and an axis label, with circles styled in steelblue.

Ooabundes

Cars Scatter Plot

This scatter plot displays the top 10 most populous countries using circular markers sized by population, with countries on the y-axis and population values on the x-axis. The visualization uses D3 v5’s `scaleLinear` and `scalePoint` for positioning, `axisLeft` and `axisBottom` for labeled axes, and SVG circles for the data points. Population data from the 2019 World Population Prospects is loaded via `d3.csv`, with values converted from thousands to raw counts. Axis labels and grid lines are styled with the included CSS.

GGeolffrey S Mena

Cars Scatter Plot

This scatter plot displays the population of the top 10 most populous countries, with countries on the y-axis and population values on the x-axis. Data is loaded from a CSV file and rendered as SVG circles using D3 v5. The visualization uses `d3.scaleLinear` for the x-axis and `d3.scalePoint` for the categorical y-axis, with axes generated via `d3.axisLeft` and `d3.axisBottom`.

SSimmer999

Cars Scatter Plot

This scatter plot visualizes the top 10 most populous countries using circles positioned by population on the x-axis and country on the y-axis, with data from the 2017 United Nations World Population Prospects. The chart is rendered as an SVG using d3.scaleLinear and d3.scalePoint for axes, while d3.axisBottom and d3.axisLeft generate gridlines and ticks. Population values are formatted with d3.format, and csv loading is handled through d3.csv from the included data.csv file.

BBaxinho

Cars Scatter Plot

This scatter plot displays the populations of the top 10 most populous countries, with each country positioned along a point scale and each population value mapped to a linear scale. The visualization uses D3 v7’s `csv`, `scaleLinear`, `scalePoint`, `axisLeft`, and `axisBottom` APIs to load the data and render circles in an SVG. Tick lines extend across the chart, and axis labels use a custom format that abbreviates numbers. The margin-based layout positions a title and axis labels within a fixed 960x500 viewport.

RRemy-dev

Cars Scatter Plot

A scatter plot displays the population of the top 10 most populous countries, using circles arranged vertically with population values along the horizontal axis. The chart uses D3 v5 with `d3.csv`, `scaleLinear`, `scalePoint`, and `axisLeft`/`axisBottom` to render an SVG visualization. Data originates from the 2018 United Nations population estimate, parsed from a CSV file. The axis labels and tick formatting are customized using `d3.format` and `axis.tickFormat` to abbreviate large numbers.

Llerik03