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Fork of Activity6_Task3

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Sshivakumarganji@my.unt.edu
Last edited Apr 5, 2024
Created on Apr 5, 2024
Forked from Activity6_Task3

This scatter plot visualizes the Iris dataset, mapping petal length and width for each sample while using color to distinguish the three iris species. The D3.js v6 code loads the data from a remote CSV file, applies linear scales to position the circles, and renders the chart as an SVG. Custom axes, tick labels, and green axis labels annotate the plot, with the styling specified through inline CSS within an HTML page.

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We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

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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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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 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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This example visualizes the Iris dataset as a scatter plot, mapping petal length and width along the axes while coloring each point by species. The D3.js code (v6) loads CSV data, applies linear scales, and renders SVG circles with a fixed radius. It uses `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and `select` to build the chart, with species-specific colors assigned via a switch function. The visualization fills the browser window and includes custom axis labels.

PPadmajaKodati@my.unt.edu
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Fork of Activity6_Task3

This scatter plot visualizes the Iris dataset, mapping petal length and width for each sample point while also encoding sepal measurements as circle radii. The SVG rendering uses d3.scaleLinear for both axes, d3.axisLeft and d3.axisBottom for tick marks, and d3.csv to load the data from a GitHub gist. Circle colors differentiate the three iris species via a switch statement, assigning skyblue, lightgreen, or orange fills. The visualization fills the entire viewport and includes rotated axis labels for clarity.

Aajaykumarseelam@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 3.1

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.

KKarnam Abinay Goud
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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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