Stylized Scatterplot

Stylized Scatterplot

This stylized scatterplot visualizes the Iris dataset, plotting petal length against sepal width for individual flowers. The SVG rendering uses React components with D3 scales (d3.scaleLinear) and axes (AxisBottom and AxisLeft) built from D3 tick marks. The d3.csv function loads the data, while circle marks include native SVG tooltips via the title element. The chart uses a Poppins font, teal circles, and italic axis labels with abbreviated tick formatting via d3.format.

KK3zter

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, 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 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 scatter plot visualizes the Iris dataset, displaying petal length on the x-axis and sepal width on the y-axis, with each flower represented as a teal circle. Built with React and D3 v7, the visualization uses d3.scaleLinear for both axes and d3.extent to compute the domain from the data. SVG circles render the marks, while React components for the axes and marks handle the tick lines, labels, and hover tooltips. The data loads asynchronously via d3.csv from a remote gist, and the chart applies a custom Poppins font and muted color palette.

Jjiro2017

Stylized Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length on the x-axis against sepal width on the y-axis. Each circle represents an individual iris flower, with hover tooltips revealing the precise petal length value. Built with React and rendered as SVG, the visualization uses d3.scaleLinear and d3.extent to compute scales from the CSV data loaded via d3.csv. Custom React components handle axes and marks, with styling applied through CSS classes for ticks, labels, and the teal-colored data points.

Jjwlam83

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris Dataset, comparing petal length against sepal width. Each flower is drawn as a circle, with hover tooltips revealing the precise x-axis value. The visualization uses React with D3 v5, leveraging `scaleLinear` for axes, `extent` for domain calculation, and `csv` for dataset loading. A clean, muted color palette and Poppins typography define the aesthetic, while custom `AxisBottom`, `AxisLeft`, and `Marks` components render the SVG output.

Mmuhammadshumas

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