activity6_task3

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activity6_task3

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Last edited Apr 11, 2024

Created on Apr 10, 2024

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 encodes sepal length and width as the rx and ry attributes of each circle, creating elliptical markers whose dimensions vary with the data. Built with D3 v6, the code uses `d3.csv` to load data from a GitHub URL, `scaleLinear` and `extent` for scaling, and `axisLeft`/`axisBottom` for axes. Data is parsed from CSV columns into numeric values before rendering as SVG circles.

AI-generated description

We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

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Activity6_task3.1

This scatter plot visualizes the Iris dataset, mapping petal length and width on the axes while coloring each point by species (setosa, versicolor, or virginica). It also encodes sepal length and width in each circle’s rx and ry attributes, making the marks elliptical. Built with D3 v6, the code loads CSV data from a GitHub URL, uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` from the D3 API, and renders SVG circles with a custom marker function for color. The visualization fills the browser window’s full width and height.

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activity6_task3

This scatter plot visualizes the Iris dataset, mapping petal width against petal length for individual flowers. Each circle is colored by species—sky blue for setosa, light green for versicolor, and orange for virginica—using D3 v6’s `scaleLinear`, `axisLeft`, and `axisBottom` APIs. The SVG rendering also encodes sepal dimensions via circle `rx` and `ry` attributes, though the visual effect is subtle due to a constant radius. Data loads from a GitHub-hosted CSV via `d3.csv`.

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This scatter plot visualizes the Iris dataset, depicting petal length against petal width for individual flowers, with color-coded points for each species (setosa, versicolor, and virginica). The visualization uses D3 v6 with `csv()`, `scaleLinear()`, and `extent()` to load data from a GitHub-hosted CSV and map values to screen coordinates. Points are rendered as SVG circles using `selectAll().join()`, with an `axisLeft()` and `axisBottom()` providing labeled axes. The code also reads sepal measurements but applies them as circle `rx` and `ry` attributes, though these are overridden by a fixed radius value.

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activity6_task3.1

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 (skyblue for setosa, lightgreen for versicolor, orange for virginica). It uses D3 v6 to load CSV data via `d3.csv`, scales with `d3.scaleLinear`, and renders SVG circles. Axes are drawn with `d3.axisLeft` and `d3.axisBottom`. The code also maps sepal measurements to circle radii but does not apply them visually, as points use a fixed radius of 5 pixels.

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Activity6_task-3

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width, with data points colored by species (setosa, versicolor, and virginica). The visualization also incorporates sepal length and width values into each point’s bounding box via the rx and ry attributes. Built with D3 v6, the code loads CSV data using d3.csv, scales axes with d3.scaleLinear, and renders circles and axis labels as SVG elements. The interactive full-window layout uses d3.axisBottom and d3.axisLeft for coordinate reference, with species-based coloring applied through a custom marker function.

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Activity6_Task3.1

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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Activity6_Task3

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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Activity-6_Task-3.1

This scatter plot visualizes the Iris dataset, showing petal length against petal width with points colored by species (setosa in skyblue, versicolor in lightgreen, and virginica in orange). The visualization uses D3 v6 APIs including `d3.csv` for data loading, `d3.scaleLinear` for the x and y axes, `d3.extent` to compute data domains, and `d3.axisLeft`/`d3.axisBottom` for axis rendering. The SVG is sized to the browser window, with data fetched from a GitHub-hosted CSV file. The code also stores sepal dimensions in each mark, though these are not used in the final rendered circles.

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