Scatter Plot WIHT MENUES 2

Scatter Plot with Menus

This interactive scatter plot explores the relationship between pairs of attributes in the UCI Auto MPG dataset. Users select which columns to compare via dropdown menus, and the visualization updates with a staggered transition animation. The D3 v5 code uses `scaleLinear`, `axisBottom`, `axisLeft`, and data joins to render SVG circles representing cars. The implementation includes a reusable `dropdownMenu` component and a `scatterPlot` function that handles axis labels and tick marks, with values coerced to numeric type before rendering.

JJiapengFan

Scatter Plot WIHT MENUES 3

This interactive scatter plot visualizes the Auto MPG dataset from the UCI Machine Learning Repository, letting users explore relationships between car attributes such as horsepower, weight, and acceleration. Two dropdown menus, implemented with a custom D3 module, dynamically select which columns map to the x- and y-axes, triggering animated transitions of the plotted circles. The visualization uses D3 scales, axes, and transitions to update the chart smoothly, with an initial static Plotly chart embedded as a fallback.

Jjesramyep1263

Scatter Plot with Menus

This scatter plot displays relationships between pairs of columns in the Auto MPG dataset from the UCI Machine Learning Repository. Two dropdown menus let users choose which columns to plot on the x and y axes. The visualization uses D3 v5, with `scaleLinear` for axes, `axisLeft` and `axisBottom` for ticks, and animated circle transitions via `transition().duration(2000).delay()`. The SVG chart redraws its axes and labels whenever a menu selection changes.

Ggabcoderboi

Scatter Plot with Menus

This interactive scatter plot visualizes the Auto MPG dataset from the UCI Machine Learning Repository, showing relationships between car attributes. Two dropdown menus allow users to select which columns map to the X and Y axes, enabling exploration of various attribute combinations. The visualization uses D3 v5 with `scaleLinear` scales, `axisBottom`, and `axisLeft` components to render the SVG chart. When menu selections change, the scatter plot updates with a staggered transition animation of circles using D3’s `.transition().duration(2000).delay()`.

Aases1996

Scatter Plot with Menus

This scatter plot visualizes car data from the UCI Auto MPG dataset, letting users explore relationships between numeric columns. Two dropdown menus allow selection of which variables map to the X and Y axes, triggering animated transitions of circles via D3 v5’s `transition().duration(2000)`. The visualization uses SVG rendering with `scaleLinear`, `extent`, and `axisBottom`/`axisLeft` from D3. Axis labels update dynamically, and circles fade from the center as data points reposition, demonstrating interactive data exploration through reusable menu and scatter plot modules.

Aanonymous5776

Scatter Plot with Menus

This scatter plot displays relationships between numerical attributes of cars from the UCI Auto MPG dataset. Two dropdown menus let viewers select which columns appear on the x- and y-axes, with each selection triggering a smooth 2-second transition animation that moves the red semi-transparent circles to their new positions. The visualization uses D3 v5 with SVG rendering, including `scaleLinear`, `axisBottom`, `axisLeft`, and `transition().duration().delay()` to update axes and points dynamically.

KKarkG

Scatter Plot with Menus

This interactive scatter plot visualizes the Auto MPG dataset from the UCI Machine Learning Repository, allowing users to explore relationships between car attributes through dropdown menus. The menus let viewers dynamically select which columns map to the x- and y-axes, updating the visualization with an animated transition. Built with D3 v5, the code uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to render the axes, while `transition().duration()` and `delay()` animate the circles to their new positions. The SVG rendering includes axis labels and grid lines, with data parsed as numeric values for accurate scaling.

Llizziechoi121

Scatter Plot with Menus - 1

This interactive scatter plot displays automobile data from the UCI Machine Learning Repository Auto MPG dataset, allowing users to compare any two numerical attributes by selecting columns from dropdown menus. The visualization updates both axes and animates the red semi-transparent circles into position over two seconds using D3 v5 transitions. The code implements custom dropdown menu and scatter plot modules, leveraging D3’s scaleLinear, axisBottom, axisLeft, extent, and CSV file loading. The SVG rendering includes rotated axis labels and gridlines, with menus positioned above the chart for attribute selection.

Jjblaskovich