Polished Scatter Plot with Menus

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the classic Iris dataset, displaying four measured flower attributes as colored points representing species. Users select which attributes to plot on the X and Y axes through React dropdown menus, with point colors determined by species using d3.scaleOrdinal. The visualization uses React hooks for state management and d3's scaling, axis, and CSV parsing functions (d3.csv, d3.scaleLinear, d3.extent, d3.format) to render marks as SVG circles.

KKtuzinowski

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris dataset, allowing users to dynamically select which flower attributes to display on the x- and y-axes via two dropdown menus. The SVG rendering uses React components with D3 scales (d3.scaleLinear) and axes, while the raw CSV data is loaded asynchronously using d3.csv. Points are drawn as circles with hover tooltips showing formatted values.

Nnpelliccia

Polished Scatter Plot with Menus

This example presents an interactive scatter plot of the Iris flower dataset, allowing users to select which numeric attributes to plot on the x- and y-axes via dropdown menus. The visualization uses React for component-based UI and rendering, with D3 v5 utilities such as `scaleLinear`, `extent`, and `format` for scales and axis tick formatting. SVG circles represent data points, colored by species using `scaleOrdinal`, and include tooltips showing exact values. The code leverages a custom `useData` hook to load CSV data asynchronously.

Ppnlinyz

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

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

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

Polished Scatter Plot with Menus

A scatter plot of the Iris dataset, displayed in a React interface, uses dropdown menus to select which of the four measured attributes (sepal length/width, petal length/width) maps to the x- and y-axes. The visualization includes a plotted point for each iris specimen, with axis labels and tick marks rendered as SVG elements. The data is loaded from a CSV file using the D3.js `csv` function, and the chart uses D3's `scaleLinear` and `extent` for scaling the axes.

TThe-World-Muda

Polished Scatter Plot with Menus

This interactive scatter plot visualizes the Iris Dataset, letting users explore relationships between four flower measurements and species. Two dropdown menus select which attribute appears on the x- and y-axes, with axes and labels updating dynamically. Built with React and d3.v5, it uses `scaleLinear` for scales, `extent` for domains, and `csv` for data loading. SVG circles render each data point, with tooltips showing exact values; axis components generate ticks and grid lines using d3 scale methods.

Tthomasjungcoe