Fork of Title to the Dot (Studying of D3 Scatter Plot)

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Fork of Title to the Dot (Studying of D3 Scatter Plot)

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Last edited Jun 22, 2023

Created on Jun 22, 2023

Forked from Title to the Dot (Studying of D3 Scatter Plot)

This scatter plot visualizes the Iris Dataset, mapping petal length against sepal length for individual flowers. The SVG rendering uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to position circles and draw axes. Hovering over a circle reveals a tooltip with the exact data coordinates. The plot fills the browser window, with margins used for axis placement and tick labels styled at 24 pixels.

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A vanilla HTML implementation of a D3 scatter plot. Shows the Iris Dataset.

MIT Licensed

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Fork of Title to the Dot (Studying of D3 Scatter Plot)

This scatter plot visualizes the Iris dataset, mapping petal length against sepal length for individual flowers. Each circle represents a data point, with its position determined by d3.scaleLinear scales and its tooltip showing the exact coordinate values. The code uses d3.csv to load the data, d3.extent to compute domains, and d3.axisLeft and d3.axisBottom to render axes. SVG circles are bound to the data via d3.selectAll and the .join() pattern. The visualization fills the entire browser window and adjusts its dimensions accordingly.

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Fork of Title to the Dot (Studying of D3 Scatter Plot)

This example visualizes the Iris dataset as a scatter plot, mapping petal length on the x-axis against sepal length on the y-axis. Each circle represents a flower sample, with a hover tooltip showing the exact coordinates. Built with D3 v6, the code loads CSV data, uses `scaleLinear` and `extent` to set scales, and renders circles as SVG elements. Axes are added via `axisLeft` and `axisBottom`, with the chart sized to the full browser window.

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This D3.js scatter plot visualizes the Iris dataset, plotting petal length against sepal length for each flower sample. Circles are positioned on an SVG canvas using a linear scale for both axes, with axes rendered via `axisLeft` and `axisBottom`. Tooltips appear on hover, showing the exact data coordinates via appended `title` elements. The code loads data from a CSV file using `d3.csv` and constructs the visualization with `scaleLinear` and `extent` functions.

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