Fork of Interactive Color Legend

Fork of Interactive Color Legend

This interactive scatter plot visualizes the Iris dataset, mapping petal length against sepal width. Users can hover over the color legend to highlight data points belonging to a specific species, with non-matching points fading to 20% opacity. The visualization is built using React and D3 v5, with SVG rendering. It uses `d3.scaleLinear` and `d3.scaleOrdinal` for scaling, and React state to manage hover interactions.

SStudentCZ

Fork of Interactive Color Legend

This interactive scatter plot visualizes the Iris dataset, displaying petal length against sepal width with points colored by species. The visualization uses react and d3.scaleOrdinal for coloring, d3.scaleLinear for positioning, and SVG for rendering. Hovering over a species in the color legend highlights only those data points, while non-matching points fade to 20% opacity, implemented through React's useState hook for hover state management.

Cchar0496

Fork of Interactive Color Legend

This interactive scatter plot shows the Iris dataset, mapping petal length and sepal width while coloring points by species. A color legend to the right of the plot allows hovering over a species name to highlight the corresponding points and fade all others. The visualization is built with React and D3's scaleLinear, scaleOrdinal, and csv loading functions, rendering SVG marks and axes. Hover interactions are managed through React state, with fading applied by adjusting opacity on both the legend entries and data circles.

Hhung2606

Fork of Interactive Color Legend

This interactive scatter plot visualizes the Iris dataset, showing petal length against sepal width with points colored by species. Hovering over a species label in the color legend fades non-matching points to 20% opacity while highlighting the selected group. Built with React and D3 v5, the code uses `scaleLinear`, `scaleOrdinal`, and `csv` for data loading, rendering SVG circles and axes via reusable components. The color legend triggers hover events through React state to dynamically filter and emphasize data points.

MMatthew Talty Colvard

Fork of Interactive Color Legend

This interactive scatter plot visualizes the Iris dataset, displaying petal length against sepal width and encoding species by color. Users can hover over a species in the color legend to highlight corresponding data points while dimming others to 20% opacity. Built with React and D3 v5, the visualization uses `scaleLinear` for axes, `scaleOrdinal` for categorical coloring, and SVG circles for marks. The legend leverages mouse events to trigger state changes that filter the rendered data, creating a focused comparison between species groups.

JJONATHAN SIMON

Fork of Interactive Color Legend

This interactive scatter plot of the Iris dataset maps petal length against sepal width, with each species represented by a distinct color. Users can hover over the color legend to highlight points of a particular species while dimming all others, using React state for hover tracking. The visualization uses d3.scaleLinear, d3.scaleOrdinal, and d3.csv for data loading and scaling, with SVG rendering through React components for axes, marks, and the interactive legend.

Eevers-codeshop-ai

Fork of Interactive Color Legend

This interactive scatter plot visualizes the Iris dataset, mapping petal length against sepal width, with each point colored by species. Hovering over a species in the color legend highlights only points of that species by increasing their opacity while dimming others. The visualization uses React with D3 scales, including `d3.scaleLinear` for axes and `d3.scaleOrdinal` for colors. It fetches data via `d3.csv` and renders all marks and the legend as SVG circles.

CCheng Tang

Fork of Interactive Color Legend

This interactive scatter plot visualizes the Iris dataset, mapping petal length against sepal width with points colored by species. A React-driven color legend allows users to hover over species names, which highlights matching data points and fades all others using opacity transitions. Built with d3.scaleLinear for axes, d3.scaleOrdinal for categorical colors, and SVG circles rendered through React components, the visualization responds to hover events via useState and onMouseEnter handlers to filter and re-render marks dynamically.

Llucas-langlois