Polished Scatter Plot with Menus

100%

Polished Scatter Plot with Menus

✓ Published1🌍 Public

Last edited Apr 23, 2021

Created on Apr 23, 2021

This interactive scatter plot visualizes the classic Iris flower dataset, allowing users to explore relationships between sepal and petal measurements across species. The chart uses SVG rendering within a React framework, with D3 v5's `scaleLinear` and `extent` APIs to map data to coordinates. Interactive dropdown menus, created with the `react-dropdown` library, let users select which attributes to plot on the x and y axes. The visualization includes custom axes with formatted tick labels and circular marks with tooltips for each data point.

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, 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 displays the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements through dropdown menus that select which attributes appear on the x and y axes. The visualization is built with React and D3 v6, using d3.scaleLinear for continuous axes and SVG circles rendered via the Marks component. The interface includes two ReactDropdown menus that update state to re-scale the plot, with axis labels dynamically reflecting the selected attributes. Data is loaded asynchronously from a CSV using d3.csv and parsed into numeric values.

Kkragovic

97% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot explores the classic Iris dataset, showing how sepal and petal measurements vary across flower species. It uses React to render SVG circles, with dropdown menus letting users choose which attributes appear on the x- and y-axes. The visualization leverages D3 utilities like `scaleLinear`, `extent`, and `csv` for data loading and axis construction, while the axes and marks are built as reusable React components. Hovering over a point reveals its value via a native SVG `<title>` tooltip.

JJoe Hutchins

97% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot displays the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements. Two dropdown menus control which numeric attributes are plotted on the x and y axes. The visualization is built with React and D3 v7, using SVG for rendering. Scales are created with `scaleLinear` and formatted with `format`, while the `Marks` component draws circles with tooltips.

ZZoe Ferencova

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. Two dropdown menus, built with the ReactDropdown library, control which attribute is plotted on each axis, updating the visualization dynamically. The SVG chart is rendered using D3 v7’s `scaleLinear` for axes and points, with React managing state and component structure. Axis ticks, labels, and data points are generated from reusable components, with a tooltip revealing the current x-axis value. The plot uses a clean, polished design with custom styling.

OOleg Zhernovoy

97% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot explores the Iris flower dataset, visualizing relationships between measurements like petal length and sepal width. Users select which attributes appear on the X and Y axes through dropdown menus built with React Dropdown, while the SVG visualization updates dynamically using React state management. The chart renders circles for each data point via D3 scales and components, with axis labels, tick marks, and tooltips providing context on the selected measurements. The interface uses D3 v7 for scales and data parsing, with React 16.9 handling component rendering and menu interactions.

KKazushige Okuma

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 which attributes appear on the X and Y axes. Two dropdown menus, built with the `react-dropdown-browser` library, control the axes. The visualization uses D3 v6's `scaleLinear` for axis scaling and renders circles as SVG marks, with tooltips showing formatted values. Axis components are built with reusable React functions, while data loading is handled asynchronously via D3's `csv` method.

TTaweewat Somboonpanyakul

97% match

Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, letting users explore relationships between sepal and petal measurements through dropdown menus that control the x and y axes. Built with React and D3 v5, it renders an SVG with axes generated using scaleLinear, extent, and custom AxisBottom and AxisLeft components. The Marks component displays each flower as a circle with tooltip support, while value labels update dynamically based on user selections.

Llefat92

97% match