Scatter Plot with Menus

Scatter Plot with Menus

This interactive scatter plot visualizes the Auto MPG dataset from the UCI Machine Learning Repository, with menus for selecting the x- and y-axis columns. It also demonstrates k-means clustering through step, restart, and reset buttons that animate the clustering process. The visualization uses D3 v5 for rendering, relying on scaleLinear, axisLeft, and axisBottom for axes, and SVG transitions to animate the movement of circles between positions. The implementation shows clusters being computed and drawn dynamically, with each point's group assignment changing the fill color as the algorithm progresses.

94% match

Scatter Plot with Menus

94% match

Scatter Plot with Menus

This scatter plot uses D3 v5 to visualize car data from the UCI Machine Learning Repository, with interactive menus to select x- and y-axis variables. A k-means clustering algorithm, initiated via buttons, animates the assignment of points to clusters as group centers move. The SVG rendering relies on d3.scaleLinear for axes and d3.transition for animated dot movement.

91% match

Scatter Plot with Menus

This interactive scatter plot visualizes automotive data from the UCI Machine Learning Repository's Auto MPG dataset. Users select the x- and y-axis columns via dropdown menus, with the chart rendering using the d3.scaleLinear, axisLeft, and axisBottom APIs. Buttons trigger step, restart, and reset actions for an animation that cycles through data points, and numeric inputs control N and K parameters for the animation. The visualization uses SVG rendering via d3.scatterPlot and updates circles with a fixed radius and opacity.

88% match

Scatter Plot with Menus

This interactive scatter plot visualizes the auto-mpg dataset, with dropdown menus allowing viewers to select which numerical columns appear on the x- and y-axes. Built with D3 v5, it uses scales, axes, and SVG circles to render the data, while a custom `dropdownMenu` module and D3’s `transition` animate points to new positions over two seconds when the axis selections change. The scatter plot code reuses `axisBottom`, `axisLeft`, and `scaleLinear` for the chart structure.

Ffahmijaafar

Scatterplot with Menus

This interactive scatterplot lets users explore relationships between variables in the auto-mpg dataset by selecting which columns to plot on the x- and y-axes via dropdown menus. The menus trigger re-renders that update the axes, labels, and animated circle positions. The visualization uses D3 v5 with the `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs, and the dropdown menu component is a custom reusable module. SVG circles transition smoothly over 2 seconds when data changes.

Ffbudwill

Scatter Plot with Menus

This interactive scatter plot visualizes the Auto MPG car dataset, allowing users to choose which columns map to the x- and y-axes via dropdown menus. The chart uses D3’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to compute scales and render axes, while a custom `scatterPlot` component animates circles with staggered transitions. Users select columns from dropdowns, triggering re-renders that update both the axes and the data points. The metadata comes from the UCI Machine Learning Repository, and the example is built with D3 v5 and rendered as SVG.

Aaalejandroq

Scatterplot with Menus

An interactive scatterplot displaying the auto-mpg dataset, with dropdown menus that let the user select which data columns to plot on the x and y axes. The visualization updates smoothly with a staggered transition, animating each circle from the center to its new position. The code uses D3 v5's `csv`, `scaleLinear`, `axisLeft`, `axisBottom`, and `extent` functions, along with a custom `dropdownMenu` component that binds options to menu elements. SVG rendering handles the plot, with axis labels and gridlines styled via CSS.

Ccornshoots