Interective Colour Legend

Interactive Color Legend

This interactive scatterplot displays the Iris dataset, allowing viewers to explore relationships between flower measurements by selecting different attributes for the X and Y axes via dropdown menus. Hovering over the color legend highlights points of a specific species while dimming others. The visualization is built with D3 scales for positioning and color, rendered as SVG within a React application, with interactive components managed through React state.

LLove Wessman

Interactive Color Legend

This interactive scatter plot of the Iris dataset allows users to explore relationships between four flower measurements by selecting X and Y axes via dropdown menus. A color legend for species on the right serves as a filter: hovering over a species name highlights its corresponding data points while fading the others to 20% opacity. The visualization renders SVG circles with React, using d3.scaleLinear and d3.scaleOrdinal for positioning and color encoding, with axis components built from d3 scale ticks.

AAudrey

Interactive Color Legend

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between different flower measurements. Hovering over a species in the color legend highlights all corresponding data points, while fading the opacity of others for focused comparison. The visualization uses d3.v5 for scales and axes, rendered as SVG within a React framework, with dropdown menus to switch the x and y attributes. Data is loaded from a CSV via d3.csv.

FFonda Irena Santoso

Interactive Color Legend

This interactive scatterplot visualizes the Iris flower dataset, allowing users to select which numeric attributes map to the x and y axes via React dropdown menus. A color legend for species acts as a filter: hovering over a legend item fades non-matching points and highlights those of the selected species. The visualization uses React state for UI interactions, D3 scales and axes for rendering the SVG marks (d3.scaleLinear, d3.scaleOrdinal), and the d3.csv utility for loading data.

CChristian Potdevin

Interactive color legend

This interactive scatter plot visualizes the Iris dataset, allowing users to compare any two flower measurements via dropdown menus while colors distinguish species. A custom color legend enables highlighting individual species by hovering, which fades non-matching points to reveal patterns. Built with React and D3 v5, it uses d3.scaleLinear and d3.scaleOrdinal for positioning and coloring, with SVG circles rendered from CSV data loaded via d3.csv.

AAndrea Picciau

Interactive Color Legend

This interactive scatter plot of the Iris dataset allows users to dynamically select which flower attributes to plot on the x and y axes via React dropdown menus. Colored by species, the plot displays circles with a supplementary legend and axis labels. Built with React, the visualization leverages D3 v5 for scales, axes, and CSV data loading, rendering to SVG. Users can explore relationships between sepal and petal measurements across three iris species.

MMario Ibarra

Scatter Plot with Interactive Color Legend

This scatter plot visualizes the Iris dataset, showing relationships between four flower measurements with the x and y axes controlled by dropdown menus. The color legend is interactive: hovering over a species option fades non-matching points to 20% opacity while keeping the selected species fully visible. Built with React and D3 v5, the visualization uses d3.scaleLinear for axes, d3.scaleOrdinal for species colors, and inline SVG circles for data points. Dropdown components from react-dropdown handle attribute selection for both axes.

MMichael Bruno

Interact Color Legend

This scatter plot of the Iris dataset uses D3 v6 within React to visualize the relationships between flower measurements, such as petal length and width. Users can select the X and Y axes from dropdown menus. The visualization features an interactive color legend for the three iris species; hovering over a legend item fades non-matching data points, highlighting the selected species.

JJonas Carvalho