Charlotte1891

@Charlotte1891·3 public vizzes

Cars scatter plot with D3.js!

This scatter plot visualizes the relationship between engine cylinders and horsepower for a dataset of cars, with each point representing a vehicle. The D3.js code uses `scaleLinear` to map the data domains to pixel coordinates and renders circles via SVG. Axes are generated with `axisBottom` and `axisLeft`, and gridlines are created through tick sizes. The chart loads its data from a CSV file using `csv()` from D3 v5.

Aug 14, 2020

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Cars Scatter Plot

A scatter plot displays the relationship between horsepower and weight for cars from the auto-mpg dataset, using red semi-transparent circles to reveal overlapping points. The visualization is rendered as SVG within a React application, leveraging D3 v5’s `scaleLinear`, `extent`, `axisBottom`, and `axisLeft` to construct the axes and scales. Grid lines extend across the plot, and axis labels and a title are manually appended to the SVG group elements, with data loaded asynchronously via `csv`.

Aug 14, 2020

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Making a Bar Chart

This example displays a bar chart of the top 10 most populous countries, using 2018 population estimates from the United Nations World Population Prospects. The population values, stored in a CSV file, are multiplied by 1,000 and mapped to bar widths using `d3.scaleLinear`, while country names are positioned on a `d3.scaleBand` axis. It uses `d3.axisLeft` and `d3.axisBottom` to render axes, with tick labels formatted via `d3.format`. The chart is drawn as SVG elements, with a title and axis label added as text.

Aug 13, 2020