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Activity6_Task3

✓ Published1🌍 Public
Ggouthamigongidi2457@gmail.com
Last edited Oct 22, 2024
Created on Oct 22, 2024
Forked from Hello VizHub

This scatter plot visualizes the Iris dataset, displaying petal length against petal width for individual flowers. The visualization, built with D3 v6 and rendered as an SVG, uses colored circles to distinguish between the three Iris species: setosa, versicolor, and virginica. The code loads data from a CSV file and applies the `d3.scaleLinear` API for both the x and y axes, with `d3.axisLeft` and `d3.axisBottom` for the chart’s labeled axes.

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 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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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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This interactive scatter plot visualizes the Iris dataset, showing petal length against petal width while color-coding points by species (setosa, versicolor, and virginica). The visualization uses D3 v6’s `scaleLinear`, `axisLeft`, and `axisBottom` functions to render axes, with data loaded via `d3.csv` from a GitHub-hosted CSV file. Each circle’s position corresponds to petal dimensions, while its fill color maps to species through a custom marker function. The SVG output also includes rotated axis labels and a red-styled title, with data parsed from the CSV’s numeric columns.

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