Scatter Plot with Menus

Scatter Plot with Menus

This scatter plot visualizes car data from the UCI Machine Learning Repository’s Auto MPG dataset. Using dropdown menus, users select which columns map to the X and Y axes, with the chart updating dynamically. The D3 v5 code uses `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and a custom `dropdownMenu` component. SVG circles animate via `transition().duration(2000).delay()`, while axis labels and gridlines render from selected attributes like horsepower or weight.

Jjons288

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 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 scatter plot displays car data from the UCI Machine Learning Repository’s Auto MPG dataset, with dropdown menus letting users select which columns map to the X and Y axes. The visualization uses D3 v5 to render SVG circles with animated transitions, scaling axes via `scaleLinear` and updating axes with `axisBottom` and `axisLeft`. The menus are built using a reusable `dropdownMenu` function, while the plot itself updates smoothly thanks to `transition().duration(1000)` on circle positions.

Mmahaghpanah

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 car data from the UCI Machine Learning Repository Auto MPG dataset. Dropdown menus let users choose which numeric columns map to the X and Y axes, with the plot updating through animated transitions. Built with D3 v5, the visualization uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` for scales and axes, while a custom `dropdownMenu` module handles the selection controls. SVG circles render with opacity, and the code leverages `transition().duration()` and `.delay()` to animate points as the selected variables change.

Cceltic660

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