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Task8 T3

✓ Published0🌍 Public
Ssruthimreddy6@gmail.com
Last edited Apr 14, 2024
Created on Apr 14, 2024

A scatter plot displays the Iris dataset, comparing sepal length against petal length. Each point represents an individual flower, color-coded by species (setosa, versicolor, or virginica) using CSS classes. The visualization loads data via d3.csv, converts numeric fields, and applies d3.scaleLinear to map values to pixel coordinates. D3 axes (d3.axisBottom and d3.axisLeft) are appended to an SVG canvas, with circles rendered using the enter selection pattern.

AI-generated description

We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

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Task8 T3

This scatter plot displays the Iris dataset, mapping petal length and petal width as the primary x and y coordinates, while the data points are colored by species (setosa, versicolor, and virginica) using a custom color scheme. The visualization also encodes sepal length and width as the `rx` and `ry` attributes of each circle, though this does not affect the visual rendering since the radius is fixed. Built with D3 v6, the code uses `d3.csv` to load the data, `d3.scaleLinear` for axes, and `d3.axisLeft` and `d3.axisBottom` for the chart's labels.

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This scatter plot visualizes the Iris dataset, mapping petal length and width as the primary axes while encoding sepal dimensions through elliptical marker shapes. Points are colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica) using D3's scaleLinear for axis scaling and extent for domain calculation. The visualization loads data from a GitHub-hosted CSV, employs D3 v6's select and join operations to bind data to SVG circles, and uses axisLeft/axisBottom for labeled axes.

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This scatter plot visualizes the Iris dataset, showing petal length against petal width for three species, each represented by a distinct color (skyblue for setosa, lightgreen for versicolor, orange for virginica). Built with D3 v6, the visualization uses `d3.select`, `d3.csv`, `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` to load data from a remote CSV, map the quantitative fields, and render SVG circles with fixed radius. The chart includes rotated and bottom axis labels, with styling applied through CSS. The code reads petal and sepal measurements directly from the parsed rows, though only the petal dimensions are plotted.

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This visualization shows the Iris dataset as a scatter plot, mapping petal length on the x-axis and petal width on the y-axis. Points are colored by species (setosa, versicolor, and virginica) using skyblue, lightgreen, and orange. The code uses D3 v6 with `d3.csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load and render the data as SVG circles. The axes are labeled, and the data source is a remote GitHub gist containing the iris measurements.

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This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis, with each of the three species colored distinctly (setosa, versicolor, virginica). The visualization uses D3 v6 APIs, including `d3.csv`, `d3.scaleLinear`, `d3.extent`, and D3's axis generators (`axisLeft`, `axisBottom`) to render an SVG chart. Data is loaded from a remote CSV URL, with each point represented as a circle whose color is determined by species. The plot includes custom axis labels, with the chart sized to fill the browser window.

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This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis. Each point represents a flower, colored by species through a categorical scale that distinguishes Iris-setosa, Iris-versicolor, and Iris-virginica. The visualization loads data from a CSV file using `d3.csv` and renders the plot as an SVG, employing `d3.scaleLinear` for axes and the `d3.axisBottom` and `d3.axisLeft` APIs to generate tick marks and axis labels.

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