Fork of Stylized Scatter Plot

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Fork of Stylized Scatter Plot

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Last edited Apr 29, 2021

Created on Apr 29, 2021

This interactive scatter plot visualizes the Iris dataset, mapping petal length on the x-axis against sepal width on the y-axis for each flower specimen. Built with React and D3 v5 using SVG rendering, the chart displays all data points as teal circles with hover tooltips showing exact values. The code uses D3's `scaleLinear` and `extent` functions to construct the axes, while the `csv` loader fetches data from a GitHub gist. The minimalist design employs Poppins typography and custom axis tick styling for a clean presentation.

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A scatter plot of The Iris Dataset.

MIT Licensed

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Fork of Stylized Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length against sepal width for individual flowers. The visualization uses React with D3.js v5 scales, including `scaleLinear` and `extent`, to position SVG circles. Axes are rendered as custom React components, with tick marks and labels styled using Poppins font. The plot provides hover tooltips displaying x-axis values in abbreviated format, while the data loads asynchronously from a CSV file using D3's `csv` function.

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This interactive scatter plot visualizes the Iris Dataset, mapping petal length against sepal width for individual flowers. Built with React and rendered as an SVG, it uses D3.js functions like `scaleLinear`, `extent`, and `format` to construct the axes and scale the data. The chart includes styled tick marks, axis labels, and circular data points, with tooltips that display the formatted x-axis value on hover. Styling is applied via CSS with the Poppins font, and the data is loaded asynchronously from a CSV file using D3's `csv` method.

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This interactive scatter plot visualizes the classic Iris dataset, plotting petal length against sepal width for individual flowers. Built with React and D3 v5, the visualization uses `scaleLinear` for both axes and renders SVG circles as marks, with tooltips showing exact values. The code imports data via `d3.csv` from a GitHub gist, while custom React components handle axis rendering and mark placement. A Poppins font and teal color scheme give the plot its stylized appearance, with loading state shown until data arrives.

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A scatter plot of the Iris Dataset displays petal length versus sepal width for individual flowers. The visualization uses React components to structure the SVG rendering, with D3 scales and axes handling the coordinate system. D3’s `csv` loader fetches the data, while `scaleLinear` and `extent` compute the domain and range. Interactive tooltips appear on hover via SVG `<title>` elements within each circle. The chart features a clean design with custom Poppins typography, colored teal marks, and styled axis ticks, emphasizing readability.

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This scatter plot visualizes the Iris dataset, mapping petal length against sepal width for individual flowers. The visualization is built with React and D3 v5, using SVG rendering for marks and axes. The code employs D3's `scaleLinear` for positioning, `extent` for domain calculation, and `csv` for data loading. Circles represent data points with hover tooltips. The chart features custom axis components, formatted tick labels using D3's `format` function, and a clean design with Poppins typography.

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This interactive scatter plot visualizes the Iris Dataset, mapping petal length against sepal width for 150 flower samples. Built with React and D3 v5, the visualization uses d3.scaleLinear for both axes, d3.extent to compute domains, and d3.csv to load and parse the data. Each circle represents a flower, with tooltips displaying formatted petal length values. The SVG rendering includes styled tick marks, axis labels, and a loading state while data is fetched from the remote CSV source.

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A scatter plot of the Iris Dataset displays petal length against sepal width, with each flower represented as a teal circle. Built with React and D3 v5, the visualization uses `scaleLinear` for both axes and renders SVG circles via the `Marks` component. Axis components generate tick lines and labels, while data loads asynchronously through D3’s `csv` parser with numeric coercion. A Poppins font and muted color palette style the chart, which includes rotated and horizontal axis labels.

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This scatter plot visualizes the Iris dataset, displaying petal length on the x-axis and sepal width on the y-axis, with each flower sample drawn as a circle. The styling includes Poppins typography, muted teal marks, and light gray grid lines. Built with React and D3 v5, the code uses `csv` for data loading, `scaleLinear` for axes, and custom SVG components for rendering. Axes are customized with tick formatting and labels, and hover tooltips show the x-axis value.

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