Scatter Plot with Menus

100%

Scatter Plot with Menus

✓ Published0🌍 Public

Last edited Sep 24, 2020

Created on Sep 24, 2020

This interactive scatter plot visualizes the Iris dataset, allowing users to select which attribute appears on each axis via dropdown menus. The chart renders as an SVG using React components for the axes and marks, with D3 scales and extent functions handling the data domain. The visualization updates dynamically on selection, showing the relationship between any two measured flower attributes, with hover tooltips displaying the x-value in abbreviated format.

AI-generated description

A scatter plot of The Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

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

97% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, featuring dropdown menus that let viewers select which numerical attributes to display on the x and y axes. The visualization renders data points as SVG circles using React components, with axes generated from D3 scales (scaleLinear) and tick formatting via the format function. Users can compare any combination of sepal and petal measurements, with axis labels updating dynamically to reflect the current selection. The chart loads CSV data asynchronously using D3’s csv parser, and menu interactions update state through React’s useState hook.

Vvesnaj

97% match

Loading thumbnail…

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

97% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to select which numeric attributes to plot on the X and Y axes via two dropdown menus. React state manages the selected attributes and triggers re-rendering of the SVG chart, while D3 (d3.scaleLinear, d3.extent) handles scaling and data loading from the CSV file. The chart includes labeled axes with tick marks and circles with tooltips for each data point.

CChristian Potdevin

97% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot displays the classic Iris dataset, allowing users to compare any two numerical attributes by selecting them from dropdown menus for the X and Y axes. Each point represents a flower sample, with hover tooltips revealing precise values. Built with React and D3 v5, the visualization uses SVG rendering and scales created via `d3.scaleLinear` and `d3.extent`, with axes generated by custom React components. The menus update the state to re-render the chart dynamically.

MMario Ibarra

97% match

Loading thumbnail…

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

96% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot, built with React and D3.js, displays the Iris flower dataset, allowing users to select which attribute is plotted on the x-axis and y-axis via dropdown menus. The visualization renders data points as circular marks within an SVG, with axis labels and tick marks generated using D3's `scaleLinear` and custom components. The menus update the selected attributes, triggering a re-render of the chart with the new scales, while a tooltip on each point shows its x-value.

SSerind Joshua McCue

96% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, letting users explore relationships between measurements by selecting which attributes appear on the x- and y-axes via dropdown menus. The visualization uses React with D3 v5 to render SVG circles, with scales and axes built through d3.scaleLinear and d3.axis components. Data is loaded asynchronously from a CSV file using d3.csv, and axis labels update dynamically based on menu selections.

Ccynichole

96% match