Scatter Plot with Menus

Scatter Plot with Menus

This interactive scatter plot displays automobile data from the UCI Machine Learning Repository's Auto MPG dataset, where users select which numeric columns map to the X and Y axes via dropdown menus. Built with D3 v5, it uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to render axes, while transitions animate circles to new positions over one second with staggered delays. The visualization updates both axes and circle positions whenever a menu selection changes.

MMatthewJSonnen

Scatter Plot with Menus

This interactive scatter plot displays automobile data from the UCI Machine Learning Repository’s Auto MPG dataset. Users select which columns to plot on the X and Y axes via dropdown menus, which re-render the visualization’s axes and circles accordingly. Built with D3 v5, the code uses `scaleLinear`, `axisLeft`, `axisBottom`, and a custom `dropdownMenu` module. Points animate into position over two seconds with staggered delays, and the SVG rendering includes axis labels, tick marks, and semi-transparent red circles.

Ssirmelpalot

Scatter Plot with Menus

This interactive scatter plot displays automobile data from the UCI Machine Learning Repository’s Auto MPG dataset. Users select which columns to plot on the X and Y axes through dropdown menus, dynamically updating the visualization. The chart is rendered as an SVG using D3 v5, with scales, axes, and animated transitions. Data values are parsed as numbers, and circles animate from the center to their positions over two seconds using `transition().duration()`. The scatter plot also includes axis labels and grid lines generated by `d3.axisBottom` and `d3.axisLeft`.

Hhistidiine

Scatter Plot with Menus

This interactive scatter plot displays automobile data from the UCI Machine Learning Repository’s Auto MPG dataset. Users select which numerical columns map to the X and Y axes via dropdown menus, implemented with a custom `dropdownMenu` module. The visualization uses `d3.scaleLinear` for axes, `axisBottom` and `axisLeft` for ticks, and animates circle positions with `transition().duration(2000)`. Updates re-render the SVG, preserving axis labels and tick marks while smoothly transitioning data points to new coordinates.

IIcecreamneverfall

Scatter Plot with Menus:

This scatter plot visualizes data on automobiles from the UCI Machine Learning Repository’s Auto MPG dataset, allowing the user to map any column to the X and Y axes via dropdown menus. Built with D3 v5, it renders axes and animated circles (transitioning over two seconds) as SVG. The implementation uses the `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and a custom `dropdownMenu` component to handle interactive selections.

Ddata-inside

Scatter Plot with Menus

This interactive scatter plot explores the Auto MPG dataset from the UCI Machine Learning Repository, displaying car attributes as circles positioned by two user-selectable axes. Dropdown menus let the user choose which data columns map to the X and Y coordinates, triggering a re-render of the visualization. Built with D3 v5, the implementation uses d3.scaleLinear for axis scaling, d3.axisLeft and d3.axisBottom for gridlines, and d3.transition to animate points when data changes. SVG output renders red semi-transparent circles with labeled axes.

TTrustPaul

Scatter Plot with Menus

This scatter plot displays car data from the UCI Machine Learning Repository’s Auto MPG dataset, allowing users to choose which columns map to the X and Y axes via dropdown menus. The visualization uses D3 v5’s `scaleLinear`, `axisBottom`, and `axisLeft` for axes, and animates circles with `transition().delay()`. Rendering is SVG-based, with the `dropdownMenu` module handling the select elements and `scatterPlot` managing the chart layout and labels.

Wwishcsdev

Scatter Plot with Menus

This interactive scatter plot visualizes the Auto MPG dataset from the UCI Machine Learning Repository. Two dropdown menus let viewers choose which car attributes map to the X and Y axes, with all columns available as options. Built with D3 v5, the visualization uses `scaleLinear` for axes, `axisBottom` and `axisLeft` for tick marks, and animates circle positions with a staggered `transition().duration(2000)` when selections change. SVG rendering displays red semi-transparent circles, with axis labels updating dynamically to reflect the selected columns.

TTrustPaul