Stylized Scatter Plot

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

A stylized scatter plot visualizes the Iris Dataset, plotting petal length against sepal width for individual flowers. The visualization uses React with D3 v5, employing `scaleLinear` for axes, `extent` for domains, and `format` for tick labels. Circular marks are rendered as SVG elements with tooltips, while custom Axis components draw grid lines and labels. The plot uses the Poppins font and a teal color scheme for a polished, modern appearance.

JJulianWgs

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris flower dataset, mapping petal length against sepal width for individual specimens. The visualization uses D3.js utilities—including `csv` for data loading, `scaleLinear` for axes, and `extent` for domain calculation—combined with React to render SVG circles and axis ticks. Each data point is drawn as a small teal circle with a tooltip displaying its value. The chart includes labeled axes with customized tick formatting and a responsive layout, all styled with the Poppins font family.

FFonda Irena Santoso

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 Scatter Plot

This stylized scatter plot visualizes the Iris Dataset, plotting petal length against sepal width for individual flowers. The visualization uses React and D3 v5 to render SVG circles with tooltips showing petal length values. Linear scales map the data domain to plotting positions, while custom axis components generate gridlines and tick labels. The design incorporates a clean aesthetic using the Poppins font, teal markers, and styled axis text, with axis labels rotated for the y-axis.

Wwinniepooh520

Stylized Scatter Plot

This example visualizes the Iris Dataset as a scatter plot, mapping petal length on the x-axis and sepal width on the y-axis. Each flower is rendered as a circular mark, with a native SVG tooltip showing the x-value on hover. The visualization uses React components to structure the axes and marks, while D3 scaleLinear and extent functions handle the data scaling. Axes are drawn with custom D3 ticks and gridlines, styled with a Poppins font and teal color scheme, with source text shown while data loads.

Bbootshine2

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

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.scaleLinear. The React-based visualization renders circles as marks via SVG, with styled axes built through d3.ticks. The code uses d3.csv to load and parse the data, while custom React components (AxisBottom, AxisLeft, and Marks) handle the rendering, applying a Poppins font and a teal color scheme to the circular data points.

Aaparnasj-sj