Scatter Plot with Menus

100%

Scatter Plot with Menus

✓ Published1🌍 Public

Last edited Sep 30, 2022

Created on Sep 30, 2022

This interactive scatter plot visualizes the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements through two dropdown menus. The React-based interface manages state for the selected X and Y axes, while D3 v7 scales map data values to SVG coordinates. Users switch between quantitative attributes like sepal length, sepal width, petal length, and petal width, with an axis label updating to reflect each selection, and a tooltip showing the precise value of each data point.

AI-generated description

A program that loads in some data using D3 utilities, and uses REACT state to keep track of the data.

MIT Licensed

Similar vizzes

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, allowing users to explore relationships between sepal and petal measurements through two dropdown menus that control which attributes appear on the x and y axes. Built with React and D3 v5, the visualization uses d3.scaleLinear for axes, d3.extent to compute domains, and d3.csv to load data. SVG circles represent individual flowers, with tooltips showing exact values. The interface includes labeled axes that update dynamically, styled with custom CSS and the Poppins font.

SSabin Bhandari

97% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to explore relationships between sepal and petal measurements across three flower species. Two dropdown menus let viewers select which attributes appear on the X and Y axes, while a color legend enables hovering to highlight specific species by dimming others. The visualization uses React for component state management, d3.scaleLinear and d3.scaleOrdinal for coordinate and color mapping, and renders as an SVG with reusable axis, mark, and legend components.

Sstevensmithj

97% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, allowing users to explore relationships between sepal and petal measurements through dropdown menus that select which attributes appear on each axis. The visualization uses React for state management and D3 v7 for scales and SVG rendering, with axes generated by custom axis components and circles representing individual flowers. Data is loaded asynchronously via D3’s `csv` parser from a remote GitHub gist, and the plot updates dynamically as menu selections change.

Ww.fukuyama@gmail.com

97% match

Loading thumbnail…

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 let viewers independently select which attribute maps to the x-axis and y-axis, with the chart updating dynamically. The visualization is built using React for component rendering and D3 v5 utilities for data loading, linear scaling, and axis generation, producing an SVG output. Data is fetched from a CSV file using D3’s `csv` function, and circles represent individual flowers with tooltips showing values.

MMorgan Worrell

97% match

Loading thumbnail…

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 let viewers select which attribute is plotted on the x-axis and y-axis, with the chart updating dynamically to reflect their choices. Built with React and D3 v5, the visualization renders points as SVG circles, using D3’s scaleLinear and extent for axis scaling. The code employs reusable components for axes, marks, and dropdowns, with axis labels and tick formatting courtesy of D3’s format function.

AAudrey

97% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot displays the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements by selecting which attribute appears on each axis. Two dropdown menus control the x and y variables, with the axes and circle marks updating dynamically. Built with React and D3 v5, it uses `scaleLinear` for coordinate mapping, `extent` to compute domains, and SVG elements for rendering, with axis components and dropdown selections managed through React state.

CChira Cezara Victoria

96% match

Loading thumbnail…

Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, enabling exploration of relationships between sepal and petal measurements. Users can dynamically select which numerical attribute to display on each axis via dropdown menus, with the plot updating instantly. The visualization is built using React and D3 v7, rendering SVG circles and axes. The `scaleLinear`, `extent`, `csv`, and `format` D3 functions are used for data loading, scaling, and tick formatting, while React `useState` manages the selected attributes.

SSong Tao Chen

96% match

Loading thumbnail…

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 React-based application uses D3.js scales and axes to render SVG circles, with each point representing an iris flower. The implementation leverages React hooks (useState, useEffect) to manage data loading and selection state, while D3's csv parser loads and converts the dataset, and scaleLinear and extent functions handle axis scaling and domains.

TThomas Cormican

96% match