Stylized Scatter Plot

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris Dataset, showing the relationship between sepal length and sepal width for individual iris flowers. The visualization uses React with D3 v5 SVG components, including custom axis and mark components that render circles for each data point. The code employs D3's `csv` parser, `scaleLinear`, and `extent` functions to load and scale the data, with axes configured using `AxisBottom` and `AxisLeft` components. The plot features a teal color scheme with gray gridlines and rotated axis labels, presenting a clean, modern take on the classic scatter plot.

Ttorstenaan

Stylized Scatter plot

This stylized scatter plot visualizes the Iris dataset, plotting sepal length against sepal width for each flower specimen. Built with React and D3 v5, it uses SVG rendering with custom axis components and circular marks. The visualization employs D3's `scaleLinear` for axis scaling, `extent` to compute data domains, and `format` for tick label formatting. Data is loaded asynchronously from a CSV file via D3's `csv` function, with a clean, minimalist design using the Poppins font and a muted color palette.

Jj-PGi

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 (Iris Data)

This example visualizes the Iris dataset as a scatter plot, mapping sepal length to the x-axis and sepal width to the y-axis with a circle for each sample. The SVG is rendered with React, using d3.scaleLinear for the scales and d3.extent to set the domains. Axes are custom components that draw tick marks and labels, while the marks use a native `<title>` element for tooltips. The data is loaded asynchronously via d3.csv and parsed into numeric fields.

PPeter Krevenets

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris Dataset, mapping sepal length on the x-axis and sepal width on the y-axis. Each flower’s measurements appear as a circle, with the plot providing a clear overview of the dataset’s distribution. The visualization is built with React and D3, using `scaleLinear` for continuous axes, `extent` to set domains, and `csv` from D3 to load and parse the data from a remote GitHub source. Custom `AxisBottom` and `AxisLeft` components render SVG gridlines and ticks, while `Marks` draws the data points.

Zzenoalive

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris Dataset, mapping sepal length and width for individual flowers as circles. Built with React and D3 v5, the visualization renders as SVG, using D3's `scaleLinear` for axes and `extent` to compute domains. Custom `AxisBottom` and `AxisLeft` components generate tick marks, while `Marks` renders each data point with a tooltip showing the formatted x-value. The design employs a Poppins font, teal circles, and muted gray axis lines for a clean, modern aesthetic.

Rroc286

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris Dataset, plotting sepal length against sepal width. Each flower is represented as a circle, with its position determined by the sepal measurements and a tooltip displaying the exact length upon hover. The visualization uses React with D3 v6, employing `scaleLinear` for axes, `extent` for domain calculation, and `csv` for data loading. The SVG rendering includes custom tick marks and axis labels, styled with the Poppins font and a clean color palette.

WWolfgang

Stylized Scatter Plot

This visualization displays the classic Iris flower dataset as a stylized scatter plot, plotting sepal length on the x-axis against sepal width on the y-axis. Each data point is rendered as a teal circle with a tooltip showing its value. The chart uses React components to structure the SVG rendering, with D3’s `scaleLinear` handling the axes and `csv` loading the data from a GitHub-hosted Iris dataset. Custom axis components generate tick marks and labels, while a Poppins font and clean styling give the plot a modern appearance.

Ssommerh