Task3.1

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Last edited Apr 6, 2025

Created on Apr 6, 2025

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis, with each of the three species colored distinctly (setosa, versicolor, virginica). The visualization uses D3 v6 APIs, including `d3.csv`, `d3.scaleLinear`, `d3.extent`, and D3's axis generators (`axisLeft`, `axisBottom`) to render an SVG chart. Data is loaded from a remote CSV URL, with each point represented as a circle whose color is determined by species. The plot includes custom axis labels, with the chart sized to fill the browser window.

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Task-3

This scatter plot visualizes the Iris dataset, mapping petal length and width as the primary axes while encoding sepal dimensions through elliptical marker shapes. Points are colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica) using D3's scaleLinear for axis scaling and extent for domain calculation. The visualization loads data from a GitHub-hosted CSV, employs D3 v6's select and join operations to bind data to SVG circles, and uses axisLeft/axisBottom for labeled axes.

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This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis, with circles colored by species (setosa, versicolor, and virginica). The visualization also encodes sepal length and width as circle attributes, though these are set as `rx` and `ry`, which do not affect standard SVG circle rendering. The code loads data from a GitHub-hosted CSV using `d3.csv`, applies `d3.scaleLinear` for axes, and renders the plot with SVG circles, `d3.axisLeft`, and `d3.axisBottom`. Axis labels are added as text elements in green.

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This scatter plot visualizes the Iris dataset, showing the relationship between sepal length and petal length for three iris species. The plot encodes species identity through different symbol shapes: circles for Iris-setosa, squares for Iris-versicolor, and triangles for Iris-virginica, with a legend displayed in the upper-right corner. The visualization is built using D3 v7, with axes rendered via d3.axisBottom and d3.axisLeft, points drawn as SVG paths using d3.symbol, and data loaded from a CSV URL using d3.csv.

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This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis. Each point represents a flower, colored by species through a categorical scale that distinguishes Iris-setosa, Iris-versicolor, and Iris-virginica. The visualization loads data from a CSV file using `d3.csv` and renders the plot as an SVG, employing `d3.scaleLinear` for axes and the `d3.axisBottom` and `d3.axisLeft` APIs to generate tick marks and axis labels.

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This scatter plot visualizes the Iris dataset, showing sepal length against petal length. Points are colored and shaped by species, with a legend mapping shapes to the three iris species. The visualization is built using D3 v7, employing force-directed layout principles through `d3.scaleLinear` and `d3.scaleOrdinal` for scales. The chart fetches data from a remote CSV, parses it with `d3.csvParse`, and renders marks via `d3.symbol` with axes generated by `d3.axisLeft` and `d3.axisBottom`.

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This scatter plot visualizes the Iris dataset, showing petal length and petal width for three flower species, each represented by a distinct color (setosa in sky blue, versicolor in light green, and virginica in orange). The visualization loads CSV data from a GitHub repository, parses it with d3.csv, and renders SVG circles using d3.scaleLinear for both axes. The code explicitly maps the data values to x and y positions, though the circle elements also carry sepal measurements as extra properties, and uses d3.axisBottom and d3.axisLeft to display the labeled scales.

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This scatter plot visualizes the Iris dataset, displaying petal length against petal width, with each point colored by species (setosa, versicolor, or virginica) to highlight group separation. The chart reads the data from a CSV file and uses D3's `scaleLinear` for axes, `axisLeft` and `axisBottom` for ticks, and maps species to colors via a switch statement. Rendered as an SVG, the plot includes labeled axes for petal and sepal measurements, though the sepal length label appears misaligned. The visualization uses D3 v6 APIs, including `csv` for data loading and data join operations for drawing circles.

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