Stylized Scatter Plot

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris dataset, plotting sepal length against sepal width for individual flower samples. The React and D3 v5 application renders circles as SVG marks, with axes generated from D3's linear scales. The plot is styled with a Poppins font, teal circle markers, and formatted tick labels. A tooltip on each mark displays the sepal length value, while axis labels identify the measurements. Data is loaded asynchronously from a CSV file using D3's csv function.

WWeiping

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 stylized scatter plot visualizes the Iris dataset, plotting sepal length against sepal width for individual flowers. Each point is rendered as an SVG circle using React components, with axes generated through reusable AxisBottom and AxisLeft components. The code leverages d3-scale’s scaleLinear for coordinate mapping, d3-format for tick labels, and d3.csv for data loading. Tooltips display formatted sepal length values via the circle title element, while a custom Poppins font and teal mark color give the chart its distinctive styling.

Aaakarsh satyam

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris dataset, plotting sepal length against sepal width for individual flower samples. The visualization uses React components with D3 scales (d3.scaleLinear) and rendering via SVG, displaying axis ticks generated with custom AxisBottom and AxisLeft components. Each data point is rendered as a circle with a tooltip showing its value, styled with a Poppins font and teal coloring. The data is loaded asynchronously from a CSV file using d3.csv, with numeric fields parsed for quantitative comparison.

Nnicholasgonzalez1

Stylized scatter plot

This stylized scatter plot visualizes the iris dataset, showing sepal length on the x-axis and sepal width on the y-axis, with each flower represented by a teal circle. The visualization uses React components to render SVG elements, with D3 v7’s `scaleLinear` and `extent` functions managing the axes and data scaling. Axis ticks are generated via D3’s scale methods, and tooltips display formatted x-values using D3’s `format` function. The design features large, bold axis labels and tick text, with a clean, minimal aesthetic.

DDaniel Zsido

Stylized Scatter Plot

A stylized scatter plot presents the Iris flower dataset, mapping sepal length against sepal width as circular marks. D3 v5 utilities compute linear scales and axis ticks, while React components render the SVG elements, including axes and labeled circles. The visualization employs a Poppins font and a minimal color scheme, with tooltips offering formatted values on hover. Data loads asynchronously via D3's CSV parser, and the axes use custom tick formatting to display abbreviated values.

Ffjvoris

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris dataset, displaying sepal length against sepal width. Each flower is represented by a circle, and hovering over a point reveals its exact sepal length value. The visualization is built using React and D3 v7, leveraging D3’s `scaleLinear` for axis scaling and `csv` for data loading. Rendered as SVG, the plot features custom axes and a Poppins font, with a clean, minimal aesthetic using muted colors for marks and gridlines.

Aahora

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