Skip to main content
SimilarExport ZIP
100%

Fork of Polished Scatter Plot with Menus

✓ Published0🌍 Public
Vvanquisher2000
Last edited Aug 15, 2021
Created on Aug 15, 2021

This interactive scatter plot displays the Iris dataset, allowing users to explore relationships between four flower measurements by selecting any attribute for the x- and y-axes from two dropdown menus. The visualization uses React with hooks (useState, useCallback, useEffect) to manage state, and d3 v5 functions such as scaleLinear, extent, and csv for data loading and scaling. Points render as SVG circles with tooltips, while axes are built with custom React components. Data comes from a CSV file containing 150 iris flowers with sepal and petal dimensions.

AI-generated description

A scatter plot of The Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, comparing measurements like sepal and petal length and width. Dropdown menus allow users to dynamically select which attributes are plotted on each axis, immediately updating the visualization. The chart uses React for the interface and D3.js for data handling and scaling, with SVG circles for data points. Hovering over a mark reveals a tooltip with its value, sourced from the standard iris.csv dataset.

Hhenry c
96% match
Loading thumbnail…

Fork of Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements via two dropdown menus that select the X and Y axes. Built with React and D3 v5, the SVG rendering uses `scaleLinear` for axes, `csv` for data loading, and React state to update scales and labels dynamically. The chart displays points colored teal, with axis ticks styled via CSS, and includes dropdown-driven attribute selection for all four numeric measurements.

Eevers-codeshop-ai
96% match
Loading thumbnail…

Fork of Polished Scatter Plot with Menus

An interactive scatter plot of the Iris dataset displays measurements like sepal length and petal width, letting users change which attribute appears on each axis via ReactDropdown menus. The visualization uses React for component structure and SVG for rendering, with d3.scaleLinear for axes and d3.csv for data loading. Circles represent individual flowers, and hovering reveals the numeric value through a native SVG title tooltip.

JJaya Durga V
96% match
Loading thumbnail…

Fork of Polished Scatter Plot with Menus

An interactive scatter plot of the Iris Dataset explores relationships between four numeric flower measurements and species. Two dropdown menus, built with the React Dropdown library, allow users to select which attribute is plotted on the x-axis and y-axis. The visualization uses D3 scales and SVG circles for marks, with axes rendered as reusable React components. The data is loaded asynchronously via `d3.csv` and typed using a custom row conversion function.

Vvidhyanamini
96% match
Loading thumbnail…

Fork of Polished Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, plotting sepal and petal measurements against each other. Two dropdown menus let users select which flower attributes appear on the x and y axes, updating the scales and axes dynamically. Built with React and D3 v5, the visualization uses `scaleLinear` for both scales, renders data points as SVG circles via components like `AxisBottom`, `AxisLeft`, and `Marks`, and loads data asynchronously with `d3.csv`. Axis labels and tick formatting follow the selected attributes.

CChintan Sawla
96% match
Loading thumbnail…

Fork of Polished Scatter Plot with Menus

An interactive scatter plot of the Iris dataset, rendered as SVG in a React app, lets users explore relationships between four numeric flower measurements. Two dropdown menus, built with ReactDropdown, control which attributes map to the x- and y-axes. The visualization uses D3 v5 scales and extent functions to compute domains, and custom React components render the axes and circular marks. Data is loaded asynchronously via d3.csv from a GitHub-hosted CSV file.

DDonald Bagwell
96% match
Loading thumbnail…

Fork of Polished Scatter Plot with Menus

A scatter plot of the Iris dataset allows users to explore relationships between measurements by selecting the x and y attributes from dropdown menus. Built with React and D3 v5, the visualization renders SVG circles for each sample, with axes and labels updating dynamically based on user selections. The code uses `scaleLinear` for scaling, `extent` for domain calculation, and `csv` for data loading. Two `ReactDropdown` menus control which numerical attributes—sepal length, width, and petal length or width—are plotted, with the selected values reflected in the axis labels.

YYu Lun Hsu
96% match
Loading thumbnail…

Fork of Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to explore relationships between sepal and petal measurements. The visualization uses D3.js scaleLinear for axis scaling and extent for domain calculation, with React managing the interactive dropdown menus. Users can select which attributes to plot on the X and Y axes via react-dropdown components, triggering state changes that update the SVG circles and axis labels accordingly. The plot renders using SVG elements, with each data point displayed as a circle with a tooltip showing its value.

AAnnie Ulichney
95% match