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Fork of Activity 6_task 3.1

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KKarnam Abinay Goud
Last edited Oct 20, 2024
Created on Oct 20, 2024

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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We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

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Fork of Activity 6_Task 3

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.

Aanusha.chilkamarri26@gmail.com
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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.

JJaswanthkota@my.unt.edu
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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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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 Activity6_Task3.2

This scatter plot visualizes the iris dataset, mapping petal length on the x-axis and petal width on the y-axis, with points colored by species (skyblue, lightgreen, or orange) and sized or positioned according to sepal measurements. The visualization uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data from a GitHub-hosted CSV and render SVG circles. Axes labels are added via `svg.append('text')`, with data-driven fill colors assigned through a switch function on species.

MMallikarjun Narra
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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_Task3.1

This scatter plot visualizes the Iris dataset, displaying petal length and width for three species, color-coded by species type. It uses D3 v6, loading data from a GitHub-hosted CSV file and rendering SVG circles. The visualization demonstrates core D3 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and `select` to create interactive axes and custom-styled markers.

KKondreddy Saikiran reddy
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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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