Scatterplot with menus

Scatter Plot with Menus

This interactive scatter plot explores relationships between attributes of cars from the UCI Machine Learning Repository’s Auto MPG dataset. Users select any two columns to map to the X and Y axes via dropdown menus, with the selected options driving d3.csv-loaded data through d3.scaleLinear, d3.axisBottom, and d3.axisLeft. The visualization renders as SVG circles that animate from the plot’s center to their positions using d3.transition with staggered delays. The reusable custom functions dropdownMenu and scatterPlot encapsulate the menu and chart logic, updating axes and labels dynamically.

Mmeihaoming

Scatter Plot with Menus

This interactive scatter plot displays relationships between attributes of cars from the UCI Machine Learning Repository’s Auto MPG dataset. Users select which data columns map to the x and y axes via dropdown menus, triggering smooth circle transitions over two seconds. The visualization uses d3.csv for data loading, d3.scaleLinear and d3.extent for scales, d3.axisLeft and axisBottom for axes, and d3.transition with a staggered delay for animations.

CCurran Kelleher

Scatter Plot with Menus

This interactive scatter plot explores the relationship between different attributes of cars from the UCI Auto MPG dataset. Two dropdown menus allow users to select which columns are mapped to the X and Y axes, with the points animating to their new positions. The visualization uses d3.scaleLinear, d3.extent, and d3.axisBottom and axisLeft to construct the plot, while a custom dropdownMenu function handles the selection interface. The scatter plot is rendered as SVG with a transition over two seconds.

AAna

Scatter plot with menus

This interactive scatter plot displays relationships between pairs of numerical attributes of cars, using data from the UCI Auto MPG dataset. It shows one attribute on each axis, with red, semi-transparent circles representing individual cars, enabling pattern exploration across different variables. The visualization employs HTML `<select>` menus, built with custom JavaScript, to dynamically switch the x and y axes. Rendering uses D3 version 5's `select`, `scaleLinear`, `axisBottom`, `axisLeft`, and `csv` modules, with a `transition` animation for a 1000-millisecond circle movement when axes change.

IIgor Borzunov

Scatter Plot with Menus

This scatter plot explores the relationship between different attributes of cars from the UCI Machine Learning Repository’s Auto MPG dataset. Users select which columns to map to the X and Y axes via dropdown menus, built with custom D3 code that creates and updates `<select>` elements. The visualization itself uses `d3.scaleLinear`, `d3.axisLeft`, and `d3.axisBottom` to render axes and SVG circles, with a staggered `transition().delay()` animation that moves points from the center to their final positions over two seconds.

LLittledevil7

Scatter plot with menus

This interactive scatter plot explores relationships between attributes of cars from the UCI Auto MPG dataset. Two dropdown menus let the user select which columns to plot on the x and y axes. Built with D3 v5, it uses the `scaleLinear` and `axisLeft`/`axisBottom` APIs to render axes, while a custom `dropDown` module handles menu creation. Points animate smoothly between states using D3's `.transition().delay()` methods.

Ppaularl

Scatter Plot with Menus

This scatter plot visualizes the Auto MPG dataset from the UCI Machine Learning Repository, displaying relationships between car attributes. Users select which columns to plot on the X and Y axes via dropdown menus. The visualization uses d3.csv to load data, d3.scaleLinear for axes, and d3.axisBottom and d3.axisLeft for rendering. Circles are animated with transition().duration() and delay() to show the update when menu selections change. The SVG rendering includes axis labels and grid lines styled through CSS.

LLittledevil7

Scatter Plot with Menus

This interactive scatter plot visualizes the Auto MPG dataset from the UCI Machine Learning Repository, displaying relationships between various car attributes. Two dropdown menus allow users to select which columns map to the X and Y axes, dynamically updating the visualization. The code uses d3.csv for data loading, d3.scaleLinear for scaling, and d3.axisBottom and d3.axisLeft for axes. Each rendered circle fades in with a 2-second d3 transition animation, while the dropdown menu component is built as a reusable d3 selection pattern with event handling.

Eelevari123