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Hhlmn4936@gmail.com
Last edited Oct 22, 2024
Created on Oct 22, 2024

This scatter plot displays the Iris dataset, showing petal length against petal width, with color-coded points representing the three species: setosa, versicolor, and virginica. Rendered as an SVG using D3 v6, the visualization scales both axes with `scaleLinear` and draws circles via `selectAll` and `join`, with axis labels generated by `axisLeft` and `axisBottom`. The data is loaded asynchronously from a raw GitHub CSV URL, and point colors are assigned through a switch function based on species.

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We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

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Fork of activity6_task3

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 code loads CSV data from a GitHub gist and parses it with D3’s `csv` function. It uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to position circles in an SVG, while also including unused sepal measurements as attributes. The visualization highlights species clusters through distinct fill colors applied via a switch statement.

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fork of activity6_task_3.1

This scatter plot visualizes the Iris dataset, mapping petal length and width while coloring each point by species—skyblue for setosa, lightgreen for versicolor, and orange for virginica. The D3 v6 code loads CSV data from a GitHub URL, uses scaleLinear with extent for axes, and renders circles with SVG. Axis labels clarify petal length and sepal length, with d3.axisLeft and d3.axisBottom providing tick marks.

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Fork of Fork of Activity6_Task3

This scatter plot visualizes the Iris dataset, mapping petal length and width for individual data points, with color coding by species (setosa, versicolor, virginica). The visualization uses D3.js v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load and parse the CSV data from a GitHub gist, then render SVG circles. Axes are labeled for petal length and sepal length, though the data mapping uses petal dimensions for positioning. The code also references additional properties like sepal measurements, which are not directly used in the final point placement.

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Fork of Fork of Activity6_Task3

This scatter plot visualizes the Iris dataset, showing petal length against petal width, with each point colored by species (setosa, versicolor, or virginica) via a simple switch function. The visualization uses d3.csv to load remote CSV data, then d3.scaleLinear with extent domains to map values to screen coordinates, and d3.axisLeft and d3.axisBottom for labeled axes. Circles are rendered as SVG elements with fixed radius via d3.selectAll().join(), while sepal length and width are stored as unused data fields. The plot fills the browser viewport, with green axis titles rotated vertically for the y-axis.

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This scatter plot visualizes the Iris Dataset, mapping petal length and width to the x and y axes while coloring each point by species (setosa, versicolor, or virginica). The SVG is rendered using D3 v6, with scales created via `d3.scaleLinear`, axes via `d3.axisLeft` and `d3.axisBottom`, and data loaded asynchronously from a CSV URL using `d3.csv`. The visualization fills the entire browser window and uses D3's `.join()` operator to create the circle marks.

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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.

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This scatterplot visualizes the Iris dataset, mapping petal length and width for individual flowers, with points colored by species (setosa, versicolor, virginica). D3 v6 loads the CSV data, then uses scaleLinear and extent to set the x and y axes, while axisLeft and axisBottom add labels. The SVG circles receive computed coordinates and colors based on the parsed species field. The chart’s red title and green axis labels, positioned via rotation and translate, highlight the custom styling and data-derived encoding.

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Fork of Activity 6_task 3.1

This scatter plot visualizes the Iris dataset, mapping petal length and petal width for individual flowers while coloring each point by species (skyblue, lightgreen, or orange). It uses D3 v6 APIs including `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to render an SVG with circle marks and labeled axes. The data is loaded from a remote CSV via `d3.csv`, and axis labels are rotated using SVG transforms.

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