Iris Scatter Plot v3

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.

98% match

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.

97% match

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

96% match

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

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.

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.

Iris Scatter plot

This interactive scatter plot visualizes the Iris dataset, displaying measurements of sepal and petal dimensions for three flower species. Users can dynamically change which measurement appears on the x- and y-axes using dropdown menus powered by a custom DropDown component. The plot uses D3.js v5 with SVG rendering, employing `scaleLinear` for axes, `axisBottom` and `axisLeft` for tick marks, and colored circles to distinguish species. Data is loaded from a CSV file and parsed with D3's `csv` function.

Aa04775

Iris Scatter Plot

This interactive scatter plot displays the classic Iris dataset, allowing users to compare any two measurements (sepal and petal length or width) by selecting them from dropdown menus. The visualization uses D3v5's `scaleLinear` and `extent` to compute axes, with a smooth 1-second transition between selections. Points are colored by Iris species (setosa, versicolor, virginica) using red, green, and blue, and the chart includes axis labels, gridlines, and a legend. The React-based code fetches data from a CSV file via `csv` and renders using SVG.

CChiuyc