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Scatter Plot ( Iris Dataset ) Part - 1

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Ggoyalshivam204
Last edited Jun 20, 2023
Created on Jun 20, 2023

This example shows a scatter plot of the Iris dataset, mapping sepal length on the x-axis and sepal width on the y-axis, with each point representing a flower sample. The visualization is rendered as an SVG using React components (AxisX, AxisY, and Marks), with scales created via `d3.scaleLinear` and extents computed from the data. Axes and tick marks are generated manually using D3’s `ticks()` method, while hover tooltips are implemented using SVG `<title>` elements. The code loads CSV data asynchronously via `d3.csv` from a GitHub gist, parsing numeric fields into floats.

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Loading and visualizing data about CSS named color using React and D3

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This scatter plot visualizes the Iris dataset, displaying sepal length on the x-axis and sepal width on the y-axis. Each circle represents a flower specimen, with hover tooltips revealing the exact sepal length value. The visualization uses React to render SVG elements, with D3.js functions like `scaleLinear`, `extent`, and `format` for scaling and tick formatting. The data is loaded asynchronously from a CSV file via D3's `csv` method, and custom components `AxisBottom`, `AxisLeft`, and `Marks` structure the chart.

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