Skip to main content
SimilarExport ZIP
100%

Polished Scatter Plot with Menus

✓ Published1🌍 Public
Nnghosh319
Last edited May 6, 2023
Created on May 6, 2023

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.

AI-generated description

A scatter plot of The Iris Dataset.

MIT Licensed

Similar vizzes

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
97% match
Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot displays the Iris flower dataset, allowing users to explore relationships between four measurements (sepal length, sepal width, petal length, and petal width). Two dropdown menus built with ReactDropdown let viewers select which attribute appears on each axis. The visualization uses React state management to track selections and update the scales and marks accordingly. D3 utilities such as `csv`, `scaleLinear`, `extent`, and `max` handle data loading and scaling, while custom React components render SVG axes and circles as marks.

BbeauMarko
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 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 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.

FFonda Irena Santoso
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 through dropdown menus that control the X and Y axes. The visualization uses React for state management and dynamic UI updates, with D3.js scaleLinear and extent functions for scaling data to SVG coordinates. Custom AxisBottom and AxisLeft components render ticks and labels, while Marks components draw the circles representing individual iris flowers. The code also incorporates the react-dropdown library for the menu interface and CSS styling with the Poppins font.

Ccynichole
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
96% 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
96% match