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Activity6_Task3

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Kkamalini.ponnuru11@gmail.com
Last edited Oct 17, 2024
Created on Oct 17, 2024

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width for three species (setosa, versicolor, and virginica) with points colored by species. The D3 v6 code loads CSV data from a GitHub URL, maps values using linear scales, and renders circles in an SVG. Axes are labeled with rotated text, and the chart employs the `axisLeft` and `axisBottom` functions to display tick marks.

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. Each point is colored by species—skyblue for setosa, lightgreen for versicolor, and orange for virginica—revealing distinct clusters. Using D3 v6, the code loads CSV data, applies linear scales via `scaleLinear`, and renders SVG circles with `selectAll` and `join`. The chart includes left and bottom axes from `axisLeft` and `axisBottom`, with rotated axis labels for 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 a custom marker function. The visualization, rendered as an SVG using D3 v6, loads data from a remote CSV file via `d3.csv`, scales axes with `scaleLinear` and `extent`, and draws circles with attributes mapped from sepal measurements. Axis labels are added via `axisLeft` and `axisBottom`, and text elements are rotated to label the y-axis.

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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 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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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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Activity 6_Task 3

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. The D3 v6 code loads CSV data from a GitHub gist, then uses `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` to map values to screen coordinates and render axes. Circles are drawn via SVG joins with species-based colors, while axis labels are added as text elements.

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