Skip to main content
SimilarExport ZIP
100%

25. Polished Scatter Plot with Menus

✓ Published1🌍 Public
PPrashish Paudel
Last edited Apr 1, 2021
Created on Apr 1, 2021

This interactive scatter plot visualizes the Iris dataset, enabling users to explore relationships between sepal and petal measurements. Two dropdown menus, built with ReactDropdown, let viewers select which numerical attribute maps to the x-axis and y-axis. The visualization uses React components and D3 scales, including `scaleLinear` and `extent`, to render axes and circles in SVG. Axis components generate tick marks with labels, while tooltips display exact values via SVG `<title>` elements.

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
96% match
Loading thumbnail…

Polished Scatter Plot with Menus

An interactive scatter plot of the Iris dataset enables exploration of relationships between numeric flower measurements. Two dropdown menus, built with ReactDropdown, let users select which attributes (sepal length, sepal width, petal length, or petal width) map to the x and y axes. The visualization uses React with D3 scales (d3.scaleLinear) and axis components rendered as SVG. Data is loaded asynchronously via d3.csv, with tooltips showing precise values for each circle mark.

RRudy Shayganfar
95% 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
95% 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
95% match
Loading thumbnail…

24. Scatter Plot with Menus

This interactive scatter plot of the Iris dataset lets users explore relationships between sepal and petal measurements by selecting any attribute for the X and Y axes via dropdown menus. Built with React and D3 v5, it renders an SVG with marks, axes, and axis labels, using D3’s `scaleLinear` for scaling and `extent` for domains. Data is loaded from a remote CSV, and hover tooltips display formatted values. The plot updates dynamically based on user selections.

PPrashish Paudel
95% match
Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements through dropdown menus that dynamically change the X and Y axes. The visualization uses React for state management, d3.scaleLinear and d3.extent for scaling axes, and d3.csv for data loading. SVG circles with d3.format-based tooltips display data points, while custom AxisBottom and AxisLeft components render ticks. The ReactDropdown component enables attribute selection, with axis labels updating accordingly to reflect the current measurements displayed.

SSong Tao Chen
95% match
Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between four numeric flower measurements (sepal length/width, petal length/width) and species. Two dropdown menus, built with `react-dropdown`, control which attributes appear on the x- and y-axes. The visualization uses React components with D3 scales (`scaleLinear`, `extent`) and SVG rendering to draw the circles and axes. The code also demonstrates reusable axis and mark components that update dynamically when menu selections change.

Nnghosh319
95% 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
95% match