Iris Scatter Plot v5

Iris Scatter Plot

This interactive scatter plot visualizes the classic Iris dataset, showing measurements of sepal and petal dimensions colored by flower species. Users can select which attributes to display on the x- and y-axes using dropdown menus, with hover interactions fading non-selected species. Built with React and D3 v5, it renders SVG circles using `scaleLinear` and `scaleOrdinal` for positioning and color encoding. The visualization includes custom axis components, a color legend, and tooltips, with data loaded via D3's `csv` parser and formatted using `d3.format`.

TThe-World-Muda

97% match

Iris Scatter Plot v3

This interactive scatter plot visualizes the Iris dataset, plotting sepal and petal measurements against each other. Users can select different attributes for the x and y axes via dropdown menus, with each circular mark representing an individual flower. The visualization uses React components with D3 v7 scales (scaleLinear) and the extent function to compute domains, rendering SVG circles with hover tooltips. Data loads asynchronously from a CSV file using the d3.csv method.

97% match

Iris Scatter Plot v6

This interactive scatter plot visualizes the Iris flower dataset, displaying sepal and petal measurements for setosa, versicolor, and virginica species. Users can select which attributes appear on the x- and y-axes via React dropdown menus, while hovering over the color legend highlights only matching species points with d3 scaleOrdinal color mapping. The visualization uses React hooks for state management, d3.csv for data loading, and d3.scaleLinear for axis scaling, with SVG rendering for all marks and axes.

96% match

Iris Scatter Plot v4

This interactive scatter plot displays the classic Iris dataset, plotting sepal and petal measurements for three flower species. Users can change the x- and y-axis variables via React dropdown menus, with each species consistently colored using a d3.scaleOrdinal mapping to teal, purple, and orange. The visualization leverages React state hooks for dynamic updates, d3.csv for data loading, and d3.scaleLinear for axis scaling. Custom React components render SVG axes and circle marks with native tooltips.

96% match

Iris Scatter Plot_0713316

This interactive scatter plot visualizes the classic Iris dataset, which contains measurements of sepal and petal dimensions for three species of iris flowers. Users can dynamically select which attributes appear on the x- and y-axes via dropdown menus, allowing exploration of relationships between any pair of the four measurement features. The visualization renders as an SVG using D3 v5 for scales and axes, while React manages the state and component structure for the interactive controls. Points are color-coded by species using a d3.scaleOrdinal with distinct colors, and each point includes a tooltip showing its exact value.

Ppotatowedges555

Iris Scatter Plot v2

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements by selecting which attribute appears on each axis. The React-based interface uses dropdown menus to swap the x and y variables, while d3.scaleLinear and d3.extent handle the scales and domains. Data is loaded from a CSV file using d3.csv, and the SVG rendering uses custom React components for axes and circular marks.

Iris Scatter Plot_0713316

This interactive scatter plot visualizes the classic Iris dataset, displaying the relationships between four flower measurements (sepal length, sepal width, petal length, petal width). Users can select which measurements appear on the x- and y-axes via dropdown menus, with points colored by iris species (setosa, versicolor, virginica). The visualization uses React for component state management and D3 v5 APIs including `csv` for data loading, `scaleLinear` for axis scaling, and `scaleOrdinal` for categorical coloring. Rendered as SVG with custom axes, the plot updates dynamically when users change attribute selections.

Xx112358

Iris Scatter Plot

This interactive scatter plot explores the Iris dataset, allowing users to select any combination of sepal and petal measurements for the x and y axes via dropdown menus. The visualization renders circles for each flower specimen using React and D3.js, with axes generated by `scaleLinear`, `extent`, and custom React components. Data is loaded asynchronously from a CSV file using D3's `csv` function. Hovering over a point reveals its exact attribute value through an SVG `<title>` tooltip.

AAustin0524