Fork of Scatter Plot with Menus

100%

Fork of Scatter Plot with Menus

✓ Published0🌍 Public

Last edited Aug 26, 2021

Created on Aug 26, 2021

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between four numeric attributes through dropdown menus that dynamically reassign the x and y axes. The visualization uses React for component management and state, d3.v5 for scales and CSV parsing, and renders SVG circles with tooltips showing formatted values. Users can switch between sepal and petal measurements, with axis labels updating accordingly to reflect the selected variables.

AI-generated description

A scatter plot of The Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing the selection of any of its four numerical attributes for the x and y axes through dropdown menus. Built with React and D3, the visualization uses `scaleLinear` to map data to SVG coordinates, rendering circles with tooltips that display formatted values. Axis labels and tick marks are controlled by custom components, providing a flexible exploration of relationships between sepal and petal measurements.

AAnthony Le

97% match

Loading thumbnail…

Fork of Scatter Plot with Menus

This interactive scatter plot displays the Iris Dataset, allowing users to explore relationships between sepal and petal measurements. Two dropdown menus, implemented with React state, dynamically select which numerical attributes map to the x and y axes. The visualization renders as an SVG using React with D3’s `scaleLinear` for axis scales and `extent` to compute domains from the CSV data. Circle marks use a tooltip via the `<title>` element.

Eevers-codeshop-ai

97% match

Loading thumbnail…

Fork of Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements. Two dropdown menus, built with React state management, control which attributes appear on the x- and y-axes, while the SVG rendering updates dynamically through React re-renders. The visualization uses D3 v5’s `scaleLinear` and `extent` functions to compute scales and domains, with custom React components for axis rendering and circular marks. Hovering over a point reveals its exact value via a native SVG `<title>` tooltip, and all data loading is handled asynchronously using `csv` from D3.

Nnoriktal

96% match

Loading thumbnail…

Fork of Scatter Plot with Menus

This interactive scatter plot displays the classic Iris dataset, allowing users to explore relationships between sepal and petal measurements. Two dropdown menus let viewers independently select which attribute appears on the X and Y axes, with axes and labels updating dynamically. Built with React and D3 v5, the visualization uses d3.scaleLinear for scales, d3.extent for domain calculation, and d3.csv for data loading. SVG rendering draws the circular marks, while custom React components handle axis generation and menu controls, with d3.format applying abbreviated tick labels.

AAbin

96% match

Loading thumbnail…

Fork of Scatter Plot with Menus

This interactive scatter plot displays the classic Iris dataset, allowing users to explore relationships between four measured attributes and species through dropdown menus that dynamically reassign the x- and y-axes. Built with React and rendered as SVG using D3 v5, the visualization updates scales and marks via state changes triggered by the dropdown selections. The code leverages `scaleLinear`, `extent`, and `csv` for data loading and scaling, with custom React components for axes, marks, and menu controls.

XXiaoyu Su

96% match

Loading thumbnail…

Fork of Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, allowing users to select which quantitative attributes appear on the x- and y-axes through two dropdown menus built with React state. The visualization is rendered as an SVG, with axes and circles generated by D3 v5 scales and React components. Data is loaded asynchronously from a CSV file using d3.csv, and the plot updates dynamically when dropdown selections change.

EEdgar Alves

96% match

Loading thumbnail…

Fork of Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, letting users switch which flower measurements (sepal length, sepal width, petal length, petal width, or species) appear on the x- and y-axes via dropdown menus. Built with React and D3 v5, the visualization renders SVG circles for each data point, with axes generated using custom scale functions and tick components. The code includes interactive dropdown components that trigger state updates, allowing real-time switching between the dataset’s numeric attributes.

BBjoernujjwb

96% match

Loading thumbnail…

Fork of Scatter Plot with Menus

This interactive scatter plot explores the Iris Dataset, displaying sepal and petal measurements across four attributes. Users select which variables to plot on the X and Y axes through two dropdown menus, allowing arbitrary pairings of the dataset’s quantitative features. The visualization uses React with `useState` for menu state and D3’s `scaleLinear` for axes, rendered as SVG circles with tooltips showing axis values. The example demonstrates a classic approach to interactive multivariate exploration within a fixed canvas.

JJusung

96% match