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Activity6_Task3

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Rramyaraomadhavareddy@gmail.com
Last edited Oct 24, 2024
Created on Oct 23, 2024

This scatter plot visualizes the Iris dataset, mapping petal length to the x-axis and petal width to the y-axis, with each point colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica). The code uses D3 v6 methods including `csv` for data loading, `scaleLinear` for scaling, and `axisLeft`/`axisBottom` for axes, rendering circles as SVG marks. The plot also stores sepal measurements as additional attributes, though these are not directly plotted. Data comes from a GitHub-hosted CSV file, and the visualization fills the entire browser window.

AI-generated description

We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

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Activity6_Task3

This scatter plot visualizes the Iris dataset, showing petal length on the x-axis and petal width on the y-axis, with points colored by species (setosa, versicolor, and virginica) using skyblue, lightgreen, and orange. The visualization loads CSV data from a GitHub repository and renders circles as SVG elements using D3 v6, employing `d3.csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to construct the plot with custom margins and axis labels.

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This scatter plot visualizes the Iris dataset, mapping petal length and petal width on the x- and y-axes while coloring each point by species (setosa, versicolor, virginica) using skyblue, lightgreen, and orange. It also encodes sepal length and width as additional properties per circle. Built with D3 v6, the code uses `csv`, `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and SVG circle elements. Data is loaded from a remote GitHub CSV, with axes and labels rendered into a full-window SVG.

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This scatter plot visualizes the Iris dataset, displaying petal length on the x-axis and petal width on the y-axis, with each point colored by species (skyblue for setosa, lightgreen for versicolor, and orange for virginica). The visualization uses D3 v6 APIs including `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to map data coordinates and render SVG circles with a fixed radius. Data is loaded asynchronously from a CSV file hosted on GitHub via `d3.csv`, with additional sepal measurements parsed but not directly plotted. The chart fills the browser window and includes rotated axis labels for clarity.

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This scatter plot visualizes the Iris dataset, plotting petal length against petal width, with each point colored by species (setosa, versicolor, or virginica) using D3 v6. The visualization loads CSV data from a GitHub repository, employing `d3.csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to render axis scales. Circles are drawn via SVG selections, with fill colors determined by a switch statement on species, and the code also assigns `rx` and `ry` values from sepal measurements. The chart fills the browser window, with styled axis labels for petal and sepal lengths.

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This scatter plot visualizes the Iris dataset, showing petal length on the x-axis, petal width on the y-axis, and sepal dimensions encoded through circle attributes. Each point is colored by species—skyblue for setosa, lightgreen for versicolor, and orange for virginica. The visualization loads data from a GitHub gist using D3 v6’s `csv` method, with scales from `scaleLinear`, axes from `axisLeft` and `axisBottom`, and marks rendered as SVG circles.

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This interactive scatter plot visualizes the Iris dataset, displaying petal length against petal width with points colored by species (setosa in skyblue, versicolor in lightgreen, and virginica in orange). The visualization loads CSV data from a GitHub gist using d3.csv, then renders circles using d3.scaleLinear axes and d3.axisLeft/axisBottom. Each circle's radius is fixed, though the code also stores sepal measurements as rx/ry attributes, and the SVG output is generated with D3 v6, filling the browser window.

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