Skip to main content
SimilarExport ZIP
100%

Polished Scatter Plot with Menus

✓ Published0🌍 Public
CChiuyc
Last edited Oct 6, 2020
Created on Oct 6, 2020

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.

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 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
97% match
Loading thumbnail…

Polished Scatter Plot with Menus

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.

Wwindwaver
96% match
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
96% match
Loading thumbnail…

Polished Scatter Plot with Menus

This example presents an interactive scatter plot of the Iris Dataset, featuring dropdown menus that allow users to dynamically select which attributes to display on the x- and y-axes. The visualization uses React to manage state and render SVG elements, with D3.js (d3.v5) providing the scaling, axis generation, and data formatting utilities. Points are rendered as circles with tooltips, and the chart includes labeled axes and a clean, polished aesthetic. The data is loaded asynchronously from a CSV file using D3's `csv` function within a custom `useData` hook.

AAndrey Katamanov
96% match
Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot explores the Iris Dataset, with dropdown menus to select which attributes map to the x and y axes. The visualization uses React for the user interface and D3.js for data processing and rendering, with scales created via `d3.scaleLinear`. Each data point is a circle with a tooltip showing its value, and the axes are labeled with the selected attribute names. The code also uses `d3.csv` to load the data and `d3.extent` for domain calculations.

KKeerthiKandadai
96% match
Loading thumbnail…

Polished Scatter Plot with Menus

A scatter plot of the Iris dataset, this visualization displays the relationship between any two selected attributes. Users choose the variables for the X and Y axes from dropdown menus, with the plot updating dynamically. Built with React and D3 v5, it uses `d3.scaleLinear` for scales and `d3.extent` for domain calculation. The SVG render includes custom axis components and marks with tooltips, with data loaded via `d3.csv`.

MMario Ibarra
96% match
Loading thumbnail…

Polished Scatter Plot with Menus

A polished scatter plot of the Iris dataset with interactive dropdown menus for selecting the X and Y axes. The visualization uses React to manage state for the selected attributes and d3.scaleLinear to map data values to pixel positions, with custom SVG components for the axes and marks. The ReactDropdown library provides the menu interface, while D3's csv parser loads the data and applies type coercion to numeric fields. The plot features formatted axis ticks and tooltips via SVG title elements.

Rroc286
95% match
Loading thumbnail…

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris flower dataset, allowing users to dynamically choose which numeric attributes appear on the X and Y axes via two dropdown menus. The visualization uses D3 v7 scales and SVG rendering within a React framework to plot data points as circles, with axis labels and tick marks styled through CSS. The code leverages `d3.scaleLinear` for axis scaling, `d3.extent` for domain calculation, and the `react-dropdown` library for the menu controls. The dataset loads remotely as CSV through `d3.csv`, with numeric parsing in the data-loading hook.

SSerind Joshua McCue
95% match