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Fork of Activity 6 task 3

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RRakesh Yadav
Last edited Apr 11, 2024
Created on Apr 11, 2024

This visualization presents the classic Iris dataset as a scatter plot, mapping petal length on the x-axis and petal width on the y-axis, with points colored by species (setosa, versicolor, and virginica) in skyblue, lightgreen, and orange. The code also reads sepal measurements into the data marks, though these are not directly used for positioning. Built with D3.js v6, it loads the CSV data via `d3.csv`, scales the axes with `scaleLinear`, and renders circles using SVG attributes, with `axisLeft` and `axisBottom` for labeled axes.

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We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

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Fork of Activity 6 task 3.1

This interactive scatter plot visualizes the Iris dataset, mapping petal length and petal width on the x- and y-axes while coloring each point by species (setosa, versicolor, or virginica). The visualization also encodes sepal length and width in the circle radius, though this behavior appears flawed as the code sets both `rx` and `ry` attributes without a clear geometric effect. Built with D3 v6, the example uses `d3.csv` to load remote data, `scaleLinear` and `extent` for scaling, and `axisLeft`/`axisBottom` for axes, rendering circles in an SVG canvas with a full-window viewport.

Ssagipavan2385@gmail.com
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Fork of Activity 6 task 3.1

This interactive scatter plot visualizes the Iris dataset, mapping petal length and petal width on the x- and y-axes while coloring each point by species (setosa, versicolor, or virginica). The visualization also encodes sepal length and width in the circle radius, though this behavior appears flawed as the code sets both `rx` and `ry` attributes without a clear geometric effect. Built with D3 v6, the example uses `d3.csv` to load remote data, `scaleLinear` and `extent` for scaling, and `axisLeft`/`axisBottom` for axes, rendering circles in an SVG canvas with a full-window viewport.

Ssagipavan2385@gmail.com
94% match
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Fork of Activity 6_task 3

This example visualizes the Iris dataset as a scatter plot, mapping petal length and width as the primary x and y axes while also encoding sepal dimensions as circle radius properties. The plot uses colored circles—sky blue for setosa, light green for versicolor, and orange for virginica—to distinguish species. Built with D3 v6, the code loads CSV data from a GitHub repository, applies linear scales via `scaleLinear` and `extent`, and renders SVG circles with appended axis labels and tick marks. The visualization clearly shows clustering patterns among the three Iris species based on their morphological measurements.

KKarnam Abinay Goud
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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.

Sshivakumarganji@my.unt.edu
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Fork of Fork of Activity 6 task 3

This scatter plot displays four attributes of the Iris dataset—petal length, petal width, sepal length, and sepal width—with each flower species colored distinctly (setosa in skyblue, versicolor in lightgreen, and virginica in orange). It uses d3.csv to load the data and d3.scaleLinear with d3.extent to map values to screen coordinates. Circles are rendered via SVG using the data-join pattern, while axes are created with d3.axisLeft and d3.axisBottom, with rotated and positioned text labels for the quantitative variables.

RRakesh Yadav
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Fork of activity6 tutorial 3.1

This visualization is an interactive scatter plot of the Iris dataset, displaying petal length and petal width for three flower species—setosa, versicolor, and virginica—distinguished by color. The plot uses D3 v6 APIs, including `csv` for data loading, `scaleLinear` for axes, and `axisLeft`/`axisBottom` for rendering the scales. It renders circles as SVG marks, with additional sepal measurements stored as properties but not used in the visual encoding. The chart is sized to the full window, with green axis labels and a red title.

Nnagalakshmibadineedi2@gmail.com
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Fork of Activity-6_task3.1

This scatter plot visualizes the Iris dataset, displaying petal length on the x-axis and petal width on the y-axis, with points colored by species (setosa, versicolor, virginica) using skyblue, lightgreen, and orange. The example loads CSV data via d3.csv, uses d3.scaleLinear for axis scaling, and d3.axisLeft/axisBottom for tick marks. Circles are rendered in SVG with d3.join, and each point’s radius is fixed, while sepal dimensions are encoded as rx and ry attributes, though these don’t affect the circular shape. Axis labels are added as SVG text elements, and the chart resizes to the browser window.

Aakitisaitejareddy@gmail.com
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Fork of Activity6_Task3

This example visualizes the classic Iris dataset as a scatter plot, mapping petal length and width to the x and y axes while encoding the species of each flower with distinct colors (skyblue, lightgreen, and orange). The plot is rendered as an SVG using D3 v6, with linear scales for both axes, axis labels for petal and sepal measurements, and circles representing individual data points. Data is loaded from a remote CSV file via D3's `csv` function.

SSreeKohaliPatel@my.unt.edu
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