CV: Scatter Plot with Menus

Aesthetic Scatter Plot with Menus

An interactive scatter plot of the Iris dataset rendered in SVG with React and D3 v7. Dropdown menus allow users to dynamically map any quantitative column to the x-axis, y-axis, or circle size, and any column to color encoding with categorical palettes for species. Points animate into position with staggered transitions and feature custom radial gradients, glow filters, and an interactive tooltip. Clicking a point highlights it and deselects on background click.

CCurran Kelleher

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing viewers to explore relationships between different flower measurements by selecting which attributes to plot on the x- and y-axes via dropdown menus. The SVG rendering uses React to create axis components and circular marks, with D3's `scaleLinear` and `extent` functions managing the data domains. Hovering over a circle reveals a tooltip with its corresponding x-value, implemented through SVG `<title>` elements.

SSai Phaltankar

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, letting users explore relationships between measurements by selecting which attributes appear on the x- and y-axes via dropdown menus. The visualization uses React with D3 v5 to render SVG circles, with scales and axes built through d3.scaleLinear and d3.axis components. Data is loaded asynchronously from a CSV file using d3.csv, and axis labels update dynamically based on menu selections.

Ccynichole

Scatter Plot with Menus

This scatter plot visualizes the Iris Dataset, allowing users to explore relationships between four numeric flower measurements and species through interactive dropdown menus that control which attributes appear on the x and y axes. The visualization uses React to manage state for selected attributes, while D3.js handles the linear scales, axis generation, and data loading via `csv`. The SVG rendering displays circles colored teal, with axis labels updating dynamically based on menu selections.

Wwindwaver

Scatter Plot with Menus

A scatter plot of the Iris dataset rendered as an SVG in React, with dropdown menus that let the viewer change which flower measurements appear on the x- and y-axes. The plot uses d3.scaleLinear and d3.extent to map data to pixel coordinates, with custom React components for the axes and marks. Data is loaded as CSV via d3.csv, and each circle includes a native SVG title tooltip.

Wweny1109

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to select which numeric attributes appear on the x- and y-axes via dropdown menus. Built with React and D3 v5, it renders SVG circles for each data point, with axes generated through custom React components. The code uses `d3.scaleLinear` for scaling, `d3.extent` for domains, and `d3.csv` for loading data, while `ReactDropdown` provides the menu controls.

Ttharuta

Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, plotted with D3 scales and rendered as SVG circles via React components. Two dropdown menus, built with React state, let users select which of the four flower measurements (sepal length/width, petal length/width) to map to the x- and y-axes, with axis labels updating accordingly. The visualization uses `d3.csv` for data loading, `d3.scaleLinear` for axes, and custom React components for axes and marks, with native SVG `<title>` elements for hover tooltips.

LLisa Wagner

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to select which flower measurements appear on the x and y axes via dropdown menus. The plot uses React dropdowns to control the axes, with d3.scaleLinear for positioning and d3.scaleOrdinal for species-based coloring. Hovering over the color legend highlights points of a selected species, using React’s useState to manage the hovered value, while SVG circles render each data point with tooltips.

CCatalina Vajiac