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Activity6_Task3

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SSreeKohaliPatel@my.unt.edu
Last edited Apr 12, 2024
Created on Apr 12, 2024

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width for three flower species, which are colored skyblue, lightgreen, and orange. It loads CSV data via `d3.csv`, scales positions with `d3.scaleLinear`, and renders circles as SVG elements. The visualization includes axes generated by `d3.axisLeft` and `d3.axisBottom`, with labels for the plotted dimensions, using D3 v6.

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 each point colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica). The visualization uses D3 v6 with `d3.csv`, `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` to load data from a GitHub-hosted CSV and render SVG circles. Axis labels for petal length and sepal length are added with lower-case text, using a green font.

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This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width for three iris species, with each species represented by a distinct color. The code uses D3 v6 to load CSV data from a GitHub repository, parse the numeric columns, and render an SVG scatter plot. It employs D3's `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to map data values to pixel coordinates and draw axes. The visualization also includes a title and axis labels, with circles colored skyblue, lightgreen, or orange based on species.

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This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width. Each point is colored by species (skyblue for setosa, lightgreen for versicolor, pink for virginica) using the `d3.scaleLinear` and `d3.axisBottom`/`d3.axisLeft` APIs within the D3 v6 framework. It loads CSV data via `d3.csv`, parses numeric values, and renders circles in an SVG. Axis labels display petal length and sepal length, though the plotted coordinates use petal dimensions.

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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) using orange, skyblue, and lightgreen markers. It loads data from a CSV file via D3's `csv` function, then renders circles on an SVG canvas using `scaleLinear` and `extent` to set scales. Axes are generated with `axisLeft` and `axisBottom`, labeled with custom text elements. The visualization demonstrates D3 v6 imported via UNPKG and uses local variable destructuring for modular code.

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This scatter plot visualizes the Iris dataset, showing petal length versus petal width for three flower species, colored skyblue, lightgreen, and orange. It renders circles as SVG elements using D3 v6, importing functions like `scaleLinear`, `extent`, and `axisLeft` from the d3 module. Data loads from a remote CSV URL via `d3.csv` and maps to x and y coordinates with linear scales, while axis labels display the measured attributes.

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This scatter plot visualizes the Iris dataset, mapping petal length and width for individual flowers while coloring points by species (setosa, versicolor, virginica) using an SVG circle per data row. D3 v6 loads CSV data via `d3.csv` from a GitHub raw URL, then applies `scaleLinear` and `extent` to position marks, with `axisLeft` and `axisBottom` generating labeled axes. The code also binds sepal measurements to circle radius attributes via `rx` and `ry`, though visual scaling is not applied.

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Activity6_Task3

This scatter plot visualizes the Iris dataset, displaying petal length against petal width while coloring each point by species (setosa, versicolor, or virginica) using D3 v6. The code loads CSV data via `d3.csv`, applies linear scales with `d3.scaleLinear`, and renders SVG circles with axes generated by `d3.axisLeft` and `d3.axisBottom`. Data parsing converts numeric fields, and the chart fills the browser window with responsive dimensions. The visualization distinguishes species through custom color mapping and includes labeled axes for petal measurements.

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Activity6_Task3

This scatter plot visualizes the Iris dataset, showing petal length against petal width for individual flowers. Points are colored by species—sky blue for setosa, light green for versicolor, and orange for virginica—using D3.js v6. The code loads CSV data from a GitHub repository and uses `d3.scaleLinear`, `d3.extent`, and `d3.axisLeft`/`d3.axisBottom` to create the axes. It renders as an SVG, with circles positioned by the scaled petal measurements and styled via a switch statement on the species field. The plot includes custom axis labels in green.

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