Scatter Plot with Color

Scatter Plot with Color

A scatter plot of the Iris dataset displays petal length against sepal width, with each species represented by a distinct color from an ordinal scale. Built with React and D3 v5, the visualization uses `d3.scaleLinear` for axes, `d3.scaleOrdinal` for color encoding, and SVG circles with tooltips. Data is loaded asynchronously via `d3.csv` from a remote URL, with axes rendered using custom React components that map tick values through `d3.format`.

Wwindwaver

MMilena Belianovich Holtman

Scatter Plot with Color

This scatter plot visualizes the Iris dataset, showing petal length against sepal width with each of the three iris species colored distinctly. The visualization uses React with D3 v5, employing d3.scaleLinear for both axes and d3.scaleOrdinal for color mapping. Data is loaded via d3.csv from a GitHub gist, and axes are rendered as custom React components. SVG circles represent individual flowers, with native `<title>` elements providing tooltips on hover.

Scatter Plot with Color

This scatter plot visualizes the Iris Dataset, showing petal length against sepal width with points colored by species. The visualization uses React to render SVG elements, with d3.scaleLinear for positioning and d3.scaleOrdinal for categorical color mapping. Custom React components for axes and marks handle the rendering, while d3.csv loads and parses the dataset. A d3.format function formats tick labels, and the color scheme distinguishes the three iris species.

BBen Brophy

Scatter Plot with Color

This scatter plot visualizes the Iris Dataset, mapping petal length and sepal width for individual flowers. Using D3.js scaleLinear and scaleOrdinal, the chart positions each point and colors it by species with a categorical palette. React components render SVG axes, tick marks, and circles, with tooltips providing precise values. The data is loaded asynchronously from a CSV URL using D3's csv method.

WWolfgang

Scatter Plot with Color

This scatter plot visualizes the Iris dataset, showing petal length against sepal width for three iris species. Each point is colored by species using a d3.scaleOrdinal with a categorical color range. The visualization uses React components for rendering SVG elements, with d3.scaleLinear for the x and y axes. Axes are constructed manually from d3 scale ticks, and hover tooltips display the petal length value via SVG title elements.

CCurran Kelleher

Scatter Plot with Color

This example visualizes the Iris dataset as a scatter plot, mapping petal length to the x-axis, sepal width to the y-axis, and coloring each circle by species using a D3 ordinal scale. React renders the SVG, with reusable axis and mark components built on D3 scales like `scaleLinear` and `scaleOrdinal`. The data is loaded from a remote CSV via D3’s `csv` utility, and tooltips display formatted values through SVG `<title>` elements.

Yyejichun@naver.com

Scatterplot with color

This scatterplot visualizes the Iris dataset, displaying petal length against sepal width for different iris species. Each circle represents a flower, with color encoding its species via a categorical ordinal scale. The visualization is built using React and D3 v5, leveraging the `scaleLinear`, `scaleOrdinal`, and `extent` APIs to map data to SVG coordinates and colors. Axes are rendered as custom React components, with tick marks and labels styled through CSS. Data originates from the classic Iris dataset, loaded asynchronously via D3’s CSV parser, and tooltips show values on hover.

Llaplantalaplanta

Scatter Plot with Color

This scatter plot visualizes the Iris flower dataset, mapping petal length and sepal width for three species distinguished by color. The React application uses d3.scaleLinear for x and y axes, d3.scaleOrdinal for categorical color encoding, and d3.csv for data loading. SVG circles are rendered via custom React components for axes and marks, with d3.format applied to axis tick labels and native SVG titles providing tooltips.

BbeauMarko