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Last edited Feb 18, 2023

Created on Feb 18, 2023

This interactive visualization displays a scatter plot of automobile data from the UCI Machine Learning Repository’s Auto MPG dataset, allowing users to explore relationships between variables. Two dropdown menus enable the selection of which columns to map to the X and Y axes, with the selected options dynamically updating the plot. Built with D3.js v4, the visualization uses `d3.scaleLinear` for axes, `d3.axisLeft` and `d3.axisBottom` for ticks, and animated circle transitions via `transition().duration(2000)` to smoothly reposition data points. The underlying code also includes a bubble chart variant using `d3.forceSimulation` with `d3.forceRadial` and `d3.forceManyBody` forces, though the primary view shown is the scatter plot.

AI-generated description

This scatter plot shows data about cars, from UCI Machine Learning Repository: Auto MPG Data Set. The user can select which columns map to X and Y using dropdown menus.

MIT Licensed

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