Stylized Scatter Plot

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris Dataset, mapping petal length against sepal width. Each circle represents a flower specimen, with a fixed radius and teal fill. The chart uses React components to render SVG axes and marks, while D3’s scaleLinear and extent functions compute the scales from the CSV data. Axis labels and tick formatting are customized, and tooltips display values via SVG title elements.

Ddiska432

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris Dataset, plotting petal length against sepal width for individual iris flowers. The visualization employs D3.js scaleLinear functions to map the data domain to SVG coordinates, with React components rendering the axes and circle marks. Custom tooltips display formatted values via the D3 format API. The plot features a clean, minimalist design with Poppins typography, muted gray tick marks, and teal data points, showcasing how aesthetic styling can enhance a classic statistical chart.

Wwindwaver

Stylized scatter plot of the Iris Dataset

A stylized scatter plot visualizes the Iris Dataset, displaying petal length along the x-axis and sepal width along the y-axis. The chart is built with React and D3 v6, using SVG rendering for crisp, scalable graphics. Data is loaded and parsed from a CSV file via a custom React hook that converts string values to numbers. The visualization employs D3's scaleLinear for axis scaling and extent functions, while custom React components handle axis tick rendering and show tooltips with formatted values.

Fforcox43

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris Dataset, plotting petal length against sepal width for individual flower samples. It uses d3.scaleLinear for axis scaling and React to generate the SVG. The marks are rendered as circles with tooltips, styled through CSS with a Poppins font. The code builds custom axes using React components, with the x-axis formatting numbers with a suffix format.

Ttoeric

Stylized Scatterplot

This stylized scatterplot visualizes the Iris Dataset, mapping petal length against sepal width for individual flowers. The visualization uses D3.js v7 scales and axes within a React component, rendering marks as SVG circles with a teal fill. Data is loaded asynchronously via D3’s `csv` parser, with numeric conversion applied to all measurements. The axes employ custom tick components, and tooltips are provided through SVG `<title>` elements, formatted using D3’s `format` function. The visual style features a clean design with Poppins typography and subtle grid lines.

Rrmgoldberg24

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris flower dataset, plotting sepal length against sepal width for individual specimens. The visualization uses React components to render SVG circles and axes, with D3 v5 utilities handling data loading via `d3.csv`, linear scaling with `scaleLinear`, and axis tick generation. The chart features custom styling for marks and axes, including a distinctive cyan fill for data points and a loading state displayed before data arrives.

AAlex Gomes

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris Dataset, mapping petal length on the x-axis and sepal width on the y-axis using D3.js v5 scales. React components render SVG circles for each data point, with tooltips showing formatted values via the `title` element. The chart includes custom axes using `d3.scaleLinear` and `d3.extent`, styled with Poppins typography and teal-colored marks. Data loads asynchronously from a CSV URL using `d3.csv` within a custom `useData` hook.

FFAN CHI YU(范紀予)

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris Dataset, showing petal length against sepal width for individual flower specimens. The visualization uses React with D3 v5 scales and SVG rendering, featuring custom AxisBottom and AxisLeft components that generate tick marks and labels. Circles representing data points include native SVG title tooltips, while the Poppins font and teal color scheme create a distinctive aesthetic. The code leverages d3.scaleLinear, d3.extent, d3.format, and d3.csv for data loading and scaling operations.

AAbhay Kumar