Scatter Plot with Menus

Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, allowing users to explore relationships between different flower measurements by selecting which attributes appear on the x and y axes via two dropdown menus. The visualization is built using React with D3.js v6, rendering SVG circles with tooltips that show precise values on hover. The code uses D3's `scaleLinear`, `extent`, and `format` functions for axis scaling and tick formatting, while the custom `AxisBottom`, `AxisLeft`, `Marks`, and `Dropdown` components demonstrate a modular approach to building interactive charts within a React framework.

CCodeDuckie99

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing viewers to explore relationships between different flower measurements by selecting which attributes to plot on the x- and y-axes via dropdown menus. The SVG rendering uses React to create axis components and circular marks, with D3's `scaleLinear` and `extent` functions managing the data domains. Hovering over a circle reveals a tooltip with its corresponding x-value, implemented through SVG `<title>` elements.

SSai Phaltankar

Scatter Plot with Menus

This interactive scatter plot displays the Iris Dataset, allowing viewers to explore relationships between different floral measurements by selecting which attributes to plot on the X and Y axes through two dropdown menus. Built with React and D3 v5, it uses the `scaleLinear` API to map data to SVG coordinates, with custom `AxisBottom`, `AxisLeft`, and `Marks` components rendering the axes and circle glyphs. The visualization updates dynamically when menu selections change, and each data point includes a native SVG tooltip showing its value.

Jj-PGi

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to select which flower attributes appear on the x and y axes via dropdown menus. The visualization updates dynamically using React state management, with scales from D3 v6 (scaleLinear, extent) mapping petal and sepal measurements to SVG coordinates. Axes are rendered as reusable React components, and data loading uses D3’s csv function with type coercion. The plot displays all species together as teal circles, with axis labels reflecting the selected attributes.

WWolfgang

Scatter Plot Iris with Menus

This interactive scatter plot visualizes the Iris dataset, letting users explore relationships between four numeric flower measurements and species. Two dropdown menus control which attributes appear on the x- and y-axes, with axis labels updating dynamically. The visualization uses React with D3 v7 scales and SVG rendering, loading data via D3’s `csv` function. Points are drawn as circles with native SVG `<title>` tooltips, while reusable `AxisBottom` and `AxisLeft` components generate tick marks and labels using D3’s scale methods.

EEFezerKW

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, displaying measurements such as petal length and sepal width. Users select which attributes to plot on the X and Y axes via dropdown menus, with the axes, labels, and data points updating dynamically. The visualization is built with React for UI state management and D3 v5 scales for positioning. The scene is rendered as an SVG, using React components like `AxisBottom`, `AxisLeft`, and `Marks` to compose the chart, and it employs D3’s `scaleLinear` and `extent` for data mapping.

MMichael Bruno

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to select which flower attributes appear on the x- and y-axes via dropdown menus. It renders each observation as a circle using React with SVG, positioning points through d3.scaleLinear and d3.extent. The visualization updates dynamically when the user changes the selected attributes, with corresponding axis labels and tick marks generated by custom AxisBottom and AxisLeft components.

GGayan Priyadarshana

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between different flower measurements via dropdown menus. The chart displays data points as circles, with the x-axis and y-axis representing selected attributes like petal length or sepal width. Built with React and D3 utilities, the visualization uses d3.scaleLinear for axis scaling, d3.extent for domain calculation, and d3.csv for data loading. Users switch attributes through React state management, triggering real-time updates to the axes and marks rendered as SVG circles with tooltips.

LLaura Johnson