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activity6_task3

✓ Published2🌍 Public
Ssravani1969@gmail.com
Last edited Mar 30, 2025
Created on Mar 30, 2025
Forked from D3 Starter

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`.

AI-generated description

iris dataset using scatter plot

MIT Licensed

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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_task3

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.

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Activity6_task3.1

This scatter plot visualizes the Iris dataset, mapping petal length and width for each flower specimen. The D3 v6 code loads CSV data from a GitHub gist and uses scaleLinear, axisLeft, and axisBottom to construct the chart. Circles are colored by species—setosa, versicolor, and virginica—using a custom marker function, with radius fixed at five pixels. The SVG rendering includes rotated axis labels for petal length and sepal length, though the sepal label is mislabeled in the code.

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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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Activity6_Task3_1

This scatter plot visualizes the Iris dataset, mapping petal length against petal width for individual flowers. Each point is colored by species—setosa, versicolor, and virginica—using skyblue, lightgreen, and orange. The visualization is built with D3 v6, loading data via CSV and rendering SVG circles. It uses `scaleLinear` for axes, `axisLeft` and `axisBottom` for ticks, and custom radius scaling based on sepal dimensions, though it does not apply multi-dimensional scaling.

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Activity 6_task 3

This scatter plot visualizes the Iris dataset, showing petal length against petal width for individual flowers, with points colored by species (setosa in skyblue, versicolor in lightgreen, and virginica in orange). The visualization uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data from a GitHub-hosted CSV, map values to screen coordinates, and render an SVG with labeled axes. Each circle’s radius is fixed at five pixels, though the code also computes sepal dimensions as additional metadata.

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Activity6_Task3

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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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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