Stylized Scatter Plot

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 flower dataset, mapping petal length on the x-axis against sepal width on the y-axis. Built with React and D3 v5, it renders as an SVG using `d3.scaleLinear` for axes and `Marks` component to draw each data point as a circle. The chart's distinctive aesthetic comes from oversized axis labels, chunky tick marks, and a bold Poppins font, giving the familiar scatter plot a modern, graphic-design feel.

SSnapika

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, mapping petal length against sepal width for individual flowers. The visualization uses React to render SVG circles, with D3’s scaleLinear and extent functions calculating the axes and data domains. Custom AxisBottom and AxisLeft components generate tick marks and labels, while the Marks component adds interactive tooltips via SVG <title> elements. The chart applies a clean aesthetic with Poppins typography, teal markers, and muted gray gridlines, and includes rotated axis labels for readability.

KKrishu

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 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

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