Skip to main content
SimilarExport ZIP
100%

Polished Scatter Plot with Menus

✓ Published0🌍 Public
Wwindwaver
Last edited Mar 30, 2021
Created on Mar 30, 2021

This interactive scatter plot visualizes the Iris Dataset, allowing users to compare any two measured attributes by selecting them from dropdown menus for the X and Y axes. Built with React and D3, the plot uses SVG circles to represent individual iris flowers, with tooltips displaying precise values on hover. The chart’s axes are rendered using custom React components (`AxisBottom`, `AxisLeft`) that leverage D3’s scale functions, while the dropdowns are powered by the `react-dropdown` library, enabling dynamic exploration of the dataset’s relationships.

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 flower dataset, allowing users to select which numeric attributes are plotted on the x- and y-axes via dropdown menus. The visualization uses React to manage component state and render SVG elements, with D3’s `scaleLinear`, `extent`, and `max` functions handling axis scaling and data mapping. Axis ticks and labels are generated through custom React components, while circles representing data points include tooltips using SVG `<title>` elements. The graph updates dynamically whenever the dropdown selections change.

AAudrey
97% match
Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to select which flower measurements appear on the x- and y-axes via two dropdown menus built with the React Dropdown library. The chart renders circles as SVG marks using React components, with axes generated by custom AxisBottom and AxisLeft components that leverage d3.scaleLinear and d3.extent. Polished styling includes Poppins fonts, tick formatting via d3.format, and tooltips using SVG title elements. Data loading relies on d3.csv with type coercion for numerical columns.

TThomas Cormican
96% match
Loading thumbnail…

Polished Scatter Plot with Menus

This example presents an interactive scatter plot of the Iris dataset, letting users compare how different flower measurements correlate by selecting any two attributes from dropdown menus for the x and y axes. Built with React, D3 v5 scales, and SVG, it renders circles with tooltips and formatted axis ticks. The menus use the react-dropdown library, while data is loaded as CSV and parsed with d3.csv.

Yyuzhang21
96% match
Loading thumbnail…

Polished Scatter Plot with Menus

This example presents an interactive scatter plot of the Iris dataset, letting users compare how different flower measurements correlate by selecting any two attributes from dropdown menus for the x and y axes. Built with React, D3 v5 scales, and SVG, it renders circles with tooltips and formatted axis ticks. The menus use the react-dropdown library, while data is loaded as CSV and parsed with d3.csv.

Yyuzhang21
96% match
Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, allowing users to compare any two numerical attributes via React dropdown menus that control the x- and y-axes. The visualization uses React state with the `useState` hook to manage selected attributes and dynamically updates the scales with d3’s `scaleLinear` and `extent`. Rendered as an SVG, the chart includes polished axes built with custom components, tick labels formatted with d3’s `format`, and circular marks that display native tooltips on hover. Data loading is handled asynchronously through d3’s `csv` function.

CChiuyc
96% match
Loading thumbnail…

Polished Scatterplot with Menues

This interactive scatterplot displays the Iris dataset, allowing users to compare any two measured attributes (sepal length/width, petal length/width) or species via two dropdown menus. Built with React and D3 v5, it renders SVG circles with hover tooltips showing the x-axis value. Axes are generated using d3.scaleLinear and custom React components, while the dropdowns use the react-dropdown library, and data loading leverages d3.csv.

Nnexus1058
96% match
Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to compare any two numerical attributes by selecting variables for the X and Y axes from dropdown menus. Built with React and D3.js, the visualization uses `scaleLinear` and `extent` to map data values to SVG coordinates, with custom axis components rendering ticks. The marks are SVG circles with tooltips that show formatted values using D3's `format`. Data is loaded asynchronously via D3's `csv` parser, and the interface updates dynamically when menu selections change.

Llynz09
96% match
Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot displays the Iris dataset, allowing users to explore relationships between flower measurements by selecting different attributes for the x and y axes through dropdown menus. Built with React and rendered as SVG, the visualization uses D3.js functions such as `scaleLinear`, `extent`, and `format` to map data ranges and format tick labels. Each point is a circle with a native SVG `<title>` element for hover tooltips, positioned using computed coordinates from the D3 scales. The plot features labeled axes, styled tick marks, and a dark teal color scheme.

Jj-PGi
96% match