QUESTION3ACT6

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✓ Published1🌍 Public

Last edited Apr 4, 2024

Created on Apr 4, 2024

This scatter plot visualizes the Iris dataset, showing petal length against petal width for individual flowers, with each species (setosa, versicolor, virginica) represented by a distinct color. The SVG visualization uses D3 v6's `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` functions to load, scale, and render the data points. The code maps the raw data from the provided CSV URL to circle positions, with the `marker` function assigning colors based on species type.

AI-generated description

We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

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question3_act6

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis, with circle colors representing the three species (setosa, versicolor, and virginica). The visualization uses D3 v6 to load CSV data from a remote URL, scale the values to the screen dimensions, and render SVG circles with fixed radius. The code also stores but does not visually use sepal measurements as additional data attributes on each circle. Axes are drawn using D3’s `axisLeft` and `axisBottom`, with custom axis labels for petal length and sepal length.

Bbhavyamoturi2509@gmail.com

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Fork of QUESTION3ACT6

This scatter plot visualizes the Iris dataset, showing petal length versus petal width as colored circles for three species (setosa, versicolor, and virginica). The code loads CSV data from a GitHub gist and uses D3 v6 APIs such as `scaleLinear`, `axisBottom`, and `axisLeft` to construct the axes. Circles are rendered via SVG and colored by species with a switch-based marker function. The layout fills the entire browser window, with axis labels indicating petal dimensions, while sepal measurements are stored but not visually mapped.

Gganeshrajuparmalla@my.unt.edu

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Activity6_question3.1

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width, with each point colored by species (setosa, versicolor, or virginica). The chart uses D3 v6’s `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data, scale axes, and render the SVG. Points are drawn as circles using D3’s `selectAll` and `join`, with axis labels styled in green. The data is fetched from a GitHub-hosted CSV file.

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This example visualizes the classic Iris dataset as a scatter plot, plotting petal length along the x-axis and petal width along the y-axis. It colors each point by species (setosa, versicolor, and virginica) using skyblue, lightgreen, and orange. The visualization loads CSV data from a GitHub gist, parses numeric columns, and uses d3.scaleLinear with extents to map values to screen coordinates. It renders SVG circles with fixed radius and draws axes using d3.axisLeft and d3.axisBottom, along with rotated and positioned text labels for the axes.

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This scatter plot visualizes the Iris dataset, mapping petal length and width as the x and y coordinates. Each point is colored by species (setosa, versicolor, or virginica) and uses an SVG circle with additional radius attributes derived from sepal measurements. The code loads CSV data via `d3.csv`, scales axes with `d3.scaleLinear`, and renders marks using D3's `select` and `join` operations. Axis labels are added manually, and the chart fills the browser window.

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This scatter plot visualizes the Iris dataset, mapping petal length and width for each sample while coloring points by species (setosa, versicolor, and virginica) using D3 v6. The SVG rendering uses `scaleLinear` for both axes, `extent` to set domains, and `axisLeft`/`axisBottom` for tick marks. Data is loaded asynchronously from a GitHub CSV via `d3.csv`, with each circle assigned a radius of 5 and a species-specific fill color from a simple switch statement.

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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 each point colored by species (skyblue for setosa, lightgreen for versicolor, and orange for virginica). The visualization uses D3 v6 APIs including `csv`, `select`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load the CSV data, compute axis scales, and render the SVG plot. The code also reads additional flower dimensions for potential use, though it focuses on displaying the petal measurements and species classification.

Vvaishnavi6gan@gmail.com

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activity 6 task 3

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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