Fork of Stylized Scatter Plot

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Fork of Stylized Scatter Plot

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Last edited Jan 11, 2025

Created on Jan 11, 2025

This stylized scatter plot visualizes the Iris dataset, mapping petal length and sepal width for individual flowers. The plot uses React components and D3's `scaleLinear` function to position SVG circles within a styled chart, employing custom `AxisBottom` and `AxisLeft` components to render quantitative scales. Data is loaded asynchronously via D3's `csv` utility from a GitHub gist. The visualization includes interactive tooltips through SVG `<title>` elements, which reveal the petal length value when hovering over a data mark.

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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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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 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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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 fork of the “Stylized Scatter Plot” visualizes the Iris dataset, plotting petal length against sepal width for individual flowers. The scatter plot uses React with d3.v5 to compute linear scales via `scaleLinear` and render SVG circles as marks, styled with a distinct teal fill. Axis components are built with React from D3’s tick values, and hover tooltips display formatted tick values. Data is loaded asynchronously with the `csv` function from D3.

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This stylized scatter plot visualizes the Iris dataset, plotting petal length against sepal width. Built with React and D3 v5, it uses a linear scale for both axes, with tick marks and axis labels rendered as SVG elements. The plot includes tooltips showing the x-value on hover and custom styling via the Poppins font and specific color palette for marks and ticks. The data is loaded asynchronously from a CSV URL using D3’s `csv` function.

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This scatter plot visualizes the classic Iris dataset, mapping petal length on the x-axis and sepal width on the y-axis. Each flower is represented as a colored circle, with species distinguished by a d3.scaleOrdinal color scale. The chart is built as a React component using reusable axis and mark components, with d3.csv for data loading and d3.scaleLinear for positioning. Axis ticks and labels are generated procedurally, and SVG tooltips display exact petal length values on hover.

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This scatter plot visualizes the Iris Dataset, plotting petal length against sepal width for individual iris flowers. The visualization uses React with a D3.js v5 scaleLinear for axis scaling and rendering via SVG. The code employs D3’s csv parser to load data, extent and nice functions for domain calculation, and format for tick label formatting. Circles represent data points with tooltips showing x-values, styled with Poppins font and a teal color scheme.

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