Skip to main content
SimilarExport ZIP
100%

Polished Scatter Plot with Menus

✓ Published0🌍 Public
AAjayyy
Last edited May 21, 2020
Created on May 21, 2020

This interactive scatter plot visualizes the Iris dataset, allowing users to dynamically select which measured attribute (sepal length, sepal width, petal length, petal width, or species) appears on the x- and y-axes via dropdown menus built with React Dropdown. The plot uses React hooks (useState, useEffect) to manage selections and load data asynchronously via d3.csv, with d3.scaleLinear for positioning and custom React components (AxisBottom, AxisLeft, Marks) rendering SVG circles and axes with D3’s scale ticks and formatting. Data spans from a public GitHub gist by Curran.

AI-generated description

A scatter plot of The Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, displaying measurements of sepal and petal dimensions across species. Dropdown menus allow users to select which numerical attribute appears on the x- and y-axes, with the chart updating immediately via React state. The visualization uses d3.scaleLinear for both axes, renders SVG circles through React components, and includes axis tick marks generated with xScale.ticks(). Data is loaded asynchronously from a CSV using d3.csv, with React hooks managing the fetching and selection state.

Wwinniepooh520
97% match
Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements. Dropdown menus let viewers select which attributes appear on the X and Y axes, dynamically updating the visualization. Built with React and D3 v5, the SVG chart uses d3.scaleLinear for axis scaling, d3.extent for domain calculation, and d3.csv for data loading. Custom React components render the axes, marks, and dropdowns, with tooltips displaying formatted values on hover.

Llaplantalaplanta
97% match
Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements by selecting different attributes for the x and y axes via dropdown menus. The visualization uses React with hooks to manage state, D3 v5 for scales and axes, and React Dropdown for the menu interface. Points are rendered as SVG circles with native tooltips, while axis labels update dynamically to reflect the currently selected attributes, with axis formatting handled by d3.scaleLinear and d3.format.

Llubin-liu
96% match
Loading thumbnail…

Polished Scatter Plot with Menus

This scatter plot visualizes the Iris Dataset, with dropdown menus that let viewers choose which measurement attribute (sepal length, sepal width, petal length, or petal width) appears on each axis. The plot updates dynamically when a menu selection changes, using React state to trigger re-renders. The visualization is rendered as an SVG, with axes built from D3’s `scaleLinear` and `extent` functions, while the React dropdown component handles the user input. Each data point is drawn as a circle with a hover tooltip showing the x-value.

LLigoon
96% match
Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot explores the classic Iris dataset, displaying measurements like sepal width and petal length as circles colored by species. Users select which attributes to plot on the X and Y axes via ReactDropdown menus, with d3.scaleLinear and d3.extent defining the scales. The visualization uses React hooks and components like AxisBottom, AxisLeft, and Marks to render SVG elements, with tooltips and formatted tick labels from d3.format.

WWolfgang
96% match
Loading thumbnail…

Polished Scatter Plot+Menus

A polished interactive scatter plot of the Iris dataset lets users explore relationships between sepal and petal measurements. Two dropdown menus, built with react-dropdown, control which attribute appears on the X and Y axes, dynamically updating the axis labels, scales, and point positions. The visualization uses React with hooks for state management and D3.js (d3.scaleLinear, d3.extent) to map data to SVG circle marks, with tooltips showing values. Data loads via d3.csv from a GitHub gist, and custom React components render the axes and dropdowns.

CCyc-Evelyn
96% match
Loading thumbnail…

Polished 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 ReactDropdown, let viewers dynamically change which attributes map to the x- and y-axes, with axis labels updating accordingly. The plot is rendered as an SVG using D3 scales (scaleLinear) within a React framework, with circles colored teal and tooltips displaying precise values on hover. The code leverages D3’s csv loader to parse the data and D3’s format function for axis tick labels.

SSonja Ek
96% match
Loading thumbnail…

Polished Scatter Plot with Menus

This scatter plot visualizes the Iris dataset, allowing users to compare any two measured attributes (sepal length, sepal width, petal length, petal width, or species) through interactive dropdown menus that control the x- and y-axes. The SVG rendering uses React components for the axes and marks, with D3’s `scaleLinear` and `extent` functions computing the plot scales. Data is loaded asynchronously from a CSV file via `d3.csv`, with axis labels and tick formatting provided by D3’s `format` helper.

Llzb1003
96% match