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Activity6_Task3 Questions

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Rramyaraomadhavareddy@gmail.com
Last edited Oct 24, 2024
Created on Oct 24, 2024
Forked from Activity6_Task3

A scatter plot of the Iris dataset displays petal length on the x-axis and petal width on the y-axis, with circles colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica). The visualization uses D3 v6 to load CSV data from a remote URL, scales via `scaleLinear`, and renders SVG circles with `selectAll().data().join()`. Axes are drawn using `axisLeft` and `axisBottom`, while sepal measurements are encoded as the circles' `rx` and `ry` properties, though the circles remain perfectly round.

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We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

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Activity6_Task3

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.

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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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A scatter plot of the Iris dataset displays petal length against petal width, with circles colored by species (setosa, versicolor, virginica) using skyblue, lightgreen, and orange. The plot also encodes sepal length and width as circle radii (`rx`, `ry`), creating elliptical marks. The visualization loads data via `d3.csv`, scales axes with `scaleLinear` and `extent`, renders SVG circles via `selectAll` and `join`, and adds axes with `axisLeft` and `axisBottom`. Axis labels are rotated text elements. Data is sourced from a GitHub-hosted CSV file.

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A scatter plot of the Iris dataset displays petal length and width, with each point colored by species (setosa, versicolor, virginica) using a fixed color mapping. The visualization is rendered as SVG via D3 v6, using `scaleLinear` for axes and `axisLeft`/`axisBottom` to draw ticks. Data is loaded as CSV from a GitHub repository, parsed with `csv`, and circles are bound to marks with `selectAll` and `join`. The code also references sepal dimensions in the data but does not use them in the plot.

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This scatter plot displays the Iris dataset, using petal length and petal width to position each flower, with colors distinguishing the three species (setosa, versicolor, and virginica). Additional sepal measurements are encoded as circle radii, though the visual range of this encoding is limited. The visualization is built with D3 v6, loading CSV data from a remote URL, and rendering SVG circles scaled via `scaleLinear` with axes generated by `axisLeft` and `axisBottom`. The code explicitly assigns circle attributes for position, fill color, and radius, and labels the axes for petal and sepal dimensions.

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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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This visualization displays a scatter plot of the Iris dataset, plotting petal length against petal width, with points colored by species (setosa, versicolor, or virginica). The chart uses D3 v6’s `scaleLinear`, `axisLeft`, and `axisBottom` to render axes, while SVG circles are sized by sepal length and width via the `rx` and `ry` attributes, creating an ellipse-like marker. Data is loaded asynchronously from a remote CSV using `d3.csv`, and the plot fills the browser window with margins configured for axis labels.

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This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis, with points colored by species (setosa, versicolor, and virginica). The visualization uses d3.v6’s `scaleLinear`, `axisLeft`, and `axisBottom` to render axes, while `csv` loads the remote GitHub-hosted data. Circles are appended via data joins, with `cx` and `cy` positions scaled from the parsed numerical values, and fill colors assigned per species. The SVG renders full-window, with axis labels noting petal length and sepal length metrics despite the plot’s primary dimensions.

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