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task 3

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MMahimaChowdaryKasthala@my.unt.edu
Last edited Apr 1, 2025
Created on Apr 1, 2025
Forked from Hello VizHub

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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Task3

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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Task3.1

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 petal width for individual flowers while using color to distinguish the three species. Built with D3 v6, it renders circular SVG marks positioned by linear scales. The code loads CSV data from a GitHub repository, parses numeric fields, and draws axes using `axisLeft` and `axisBottom`. The visualization encodes sepal dimensions as attributes on each circle, though these are not visually mapped to size or shape.

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task3.1

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, 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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task 2

This scatter plot visualizes the relationship between sepal length and petal length for three Iris flower species, using the classic Iris dataset. Each flower is represented as a colored circle, with species distinctions shown through a categorical color scale. The visualization is built with D3 v7, using `d3.csv` to load the data, `d3.scaleLinear` for the x and y axes, and SVG for rendering. A legend identifies species, and the plot includes clear axis labels and a title.

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task3.2

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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Activity_6(task 3)

This scatter plot displays the Iris dataset, mapping sepal length on the x-axis against petal width on the y-axis, with each of the three iris species (setosa, versicolor, virginica) distinguished by a distinct color. The visualization uses D3 v6 to render SVG circles, with axes, labels, and a legend generated via `d3.axisBottom`, `d3.axisLeft`, and `d3.scaleOrdinal`. Data is loaded asynchronously from a remote CSV file, and the plot employs `d3.extent` to set linear scales for the axes.

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