Iris Scatter Plot v4

Iris Scatter Plot v5

This interactive scatter plot visualizes the Iris dataset, showing measurements of sepal and petal dimensions for three flower species. Users can select which attribute appears on each axis using dropdown menus, while points are color-coded by species with a legend on the right. The visualization uses D3 v7 scales and axes for positioning, React with hooks for state management, and renders points as SVG circles with native tooltips. Data is loaded as CSV and parsed by D3's csv loader.

96% 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 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.

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

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

This interactive scatter plot visualizes the Iris dataset, showing relationships between four flower measurements (sepal length/width, petal length/width) across three species. Users select which attributes to plot on the x- and y-axes via ReactDropdown menus, with points colored by species. Hovering over the color legend highlights one species while fading the others. Built with React and D3 v5, it uses `scaleLinear`, `scaleOrdinal`, and SVG circles, with axes rendered as custom tick components.

Eexchoco

94% match