Polished Stylized Scatter Plot with Menus

Polished Scatter Plot with Menus

A scatter plot of Fisher’s Iris dataset visualizes flower measurements, with dropdown menus to select which attribute appears on each axis. The chart is built with React and D3 v6, using SVG circles for marks and custom axis components. Data loads via D3’s `csv` parser, while `scaleLinear` handles scaling and `format` tick labels. Yellow background circles, poppins typography, and tooltips on hover complete the polished presentation.

RRMartins11

Polished Scatter Plot with Menus

This interactive scatter plot visualizes Fisher’s Iris dataset, allowing users to independently choose which numerical attribute (sepal or petal length/width) to display on the x- and y-axes via two dropdown menus. Built with React and D3 v5, the SVG chart renders scaled circles for each sample, with hover tooltips showing the x-axis value. The axes are drawn using D3’s `scaleLinear`, `extent`, and custom React-based `AxisBottom` and `AxisLeft` components, while the data is loaded asynchronously using D3’s CSV parser.

Wwhiteswallow87

Polished Stylized Scatter Plot with Menus with Color

This interactive scatter plot explores the Iris dataset, allowing users to select which flower measurements are plotted on the x and y axes via dropdown menus. The visualization is built with React and D3.v7, using `scaleLinear` and `scaleOrdinal` to map data to positions and colors, with SVG circles for data points and custom components for axes and controls.

RRedSorrel

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

Stylized Scatter Plot with Menus

This example presents an interactive scatter plot of Fisher’s Iris dataset, letting users switch which flower measurements appear on the x- and y-axes via two dropdown menus. React manages the selected attributes and re-renders the SVG visualization, which is built with D3 scales (e.g., `scaleLinear`) and custom React components for axes and marks. Hovering over a circle reveals a tooltip with the formatted value of the x-axis variable for that point.

RRedSorrel

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, showcasing relationships between flower measurements. Users can dynamically select which attributes to plot on the X and Y axes using dropdown menus, with the chart updating instantly. The visualization uses React for component-based UI, d3.v5 for data processing and linear scaling, and SVG for rendering. Axis ticks are styled with Poppins font, and data points are colored teal with hover tooltips displaying exact values.

Vvesnaj

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Fisher Iris dataset, allowing users to explore relationships between sepal and petal measurements by changing the X and Y axes through dropdown menus. The SVG rendering uses React components to structure the visualization, with D3.js v5 handling scales, axes, and data mapping. Each data point is drawn as a circle with a tooltip showing its value, while axis labels and tick marks are styled with a clean, polished theme. The data is loaded asynchronously from a CSV file using D3’s `csv` function.

Aaakarsh satyam

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, displaying measurements from four flower attributes. Users select which attributes appear on the X and Y axes through two dropdown menus, with axis labels and scales updating accordingly. The visualization is built with React and D3 v7, using `scaleLinear`, `extent`, `max`, and `format` functions to position marks and format tick labels. SVG circles represent individual iris samples, with native `<title>` tooltips revealing exact values on hover. The example demonstrates a polished, reusable component architecture with axes, marks, and dropdowns split into separate functional components.

BBen Seebeck