Scatter Plot with Menus

Scatter Plot with Menus

This interactive scatter plot visualizes car data from the UCI Machine Learning Repository's Auto MPG dataset, allowing users to explore relationships between numerical attributes. Two dropdown menus let the viewer select which columns from the dataset map to the X and Y axes, with selections triggering a re-render. The visualization is built with D3 v5, using `scaleLinear` for axes, `axisLeft` and `axisBottom` for tick marks, and animated circle transitions via `transition().duration()`. The plot updates smoothly, displaying data points as semi-transparent red circles over a clean SVG canvas.

Aandys648

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 visualizes car data from the UCI Machine Learning Repository’s Auto MPG dataset. Users control which columns map to the X and Y axes through dropdown menus, with animated transitions moving circles to their new positions over two seconds. Built with D3 v5, the visualization uses `scaleLinear`, `axisBottom`, `axisLeft`, and `transition().delay()` to render the SVG, while `dropdownMenu` handles the interactive selections.

Ssourcebox-bug

Scatter Plot with Menus

This interactive scatter plot visualizes car data from the UCI Machine Learning Repository’s Auto MPG dataset. Users select which columns map to the X and Y axes via two dropdown menus, built with a reusable `dropdownMenu` function. The plot uses D3 v5 APIs including `scaleLinear`, `axisLeft`, `axisBottom`, and `extent` for scaling and axes. Circles are rendered with SVG and animate into position via `transition().duration(2000)` with staggered delays, while axis labels reflect the current column selections.

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

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

This interactive scatter plot explores car 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 that update the chart dynamically. The visualization uses D3 v5 with SVG rendering, including `d3.csv` for data loading, `d3.scaleLinear` and `d3.extent` for scales, and `d3.axisBottom`/`d3.axisLeft` for axes. Each point’s position animates over two seconds via `transition().duration(2000)`, with a delay per circle, creating a smooth reapportionment when variables change.

Ssourcebox-bug

Scatter Plot with Menus

This interactive scatter plot visualizes the Auto MPG dataset from the UCI Machine Learning Repository, displaying car attributes as circles scaled by linear axes. Two dropdown menus allow users to select which column maps to the x-axis and y-axis, dynamically updating the visualization on change. Built with D3 v5, the code uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` for scales and axes, while `select` and `transition().duration(2000).delay()` animate points moving between positions. The SVG rendering includes axis labels and tick marks styled via CSS.

LLudovicGouverneur