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Fork of D3 Scatter Plot

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Wwieswies
Last edited May 18, 2022
Created on May 18, 2022
Forked from D3 Scatter Plot

This scatter plot visualizes the Iris Dataset, plotting petal length on the x-axis against sepal length on the y-axis. Each flower is drawn as a fixed-radius circle in SVG. The code uses d3.csv to load and parse data, d3.scaleLinear with d3.extent for scales, and d3.axisLeft plus d3.axisBottom to render axes with large tick labels. The visualization fills the browser window, with margins applied, and data points are appended via selection joins.

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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 D3 Scatter Plot

This scatter plot visualizes the Iris Dataset, plotting petal length against sepal length for individual flower samples. Each circle represents a data point, with axes labeled using D3's scaleLinear, axisLeft, and axisBottom APIs, and tick text styled at 24px. The visualization fills the browser window by setting SVG dimensions to window.innerWidth and innerHeight, reading the dataset from data.csv via d3.csv. Circle positions are computed by mapping data values through linear scales with defined margins and a fixed radius of 5 pixels.

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This example visualizes the Iris Dataset using a D3 scatter plot, mapping petal length on the x-axis and sepal length on the y-axis. It uses d3.csv to load the data, d3.scaleLinear and d3.extent to compute scales, and d3.axisLeft and d3.axisBottom to render axes. The SVG circles are positioned using the d3.select and join API, with a radius of 5 pixels. The plot fills the entire browser window by setting the SVG dimensions to window.innerWidth and window.innerHeight.

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A D3 scatter plot displays the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis. Each flower is represented as a circle with a fixed radius of 5 pixels. The visualization uses `d3.csv` to load the data, `d3.scaleLinear` for both axes, and `d3.extent` to compute the domains. Axes are rendered with `d3.axisLeft` and `d3.axisBottom`, with the SVG filling the full browser window. The chart is built using D3 v6 and styled with a 24-pixel tick font.

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This scatter plot visualizes the Iris Dataset, plotting petal length against sepal length for individual flowers. The visualization uses D3 v6 to load the CSV data, scale the x and y axes with `d3.scaleLinear`, and render circles as SVG marks. Axes are added using `d3.axisLeft` and `d3.axisBottom`, with the plot sized to the full browser window. The code demonstrates a clean mapping of data fields to spatial positions.

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This example visualizes the Iris dataset as a scatter plot, mapping petal length and sepal length onto the horizontal and vertical axes. Each flower is drawn as a circle with a fixed radius. The visualization uses the D3.js v6 API, including `d3.csv` to load the data, `d3.scaleLinear` for axes, and `d3.axisLeft` and `d3.axisBottom` to render tick labels. The SVG canvas fills the browser window, with circles positioned via data-driven coordinates.

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This scatter plot visualizes the Iris Dataset, plotting petal length against sepal length for individual flowers. The visualization is built with D3 version 6, using `scaleLinear` for both axes, `extent` to compute data domains, and `axisLeft`/`axisBottom` for tick marks. The code retrieves data from a CSV file via `d3.csv`, then renders circles with a fixed radius of 5 pixels. The SVG canvas fills the entire browser window, with axes labeled at 24-pixel font size.

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This scatter plot visualizes the Iris Dataset, mapping petal length to the x-axis and sepal length to the y-axis. D3 code uses `csv` to load data, `scaleLinear` and `extent` to set scales, and `axisLeft` and `axisBottom` for axes. Each flower is rendered as an SVG circle with a fixed radius. The visualization fills the browser window using `window.innerWidth` and `window.innerHeight`.

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