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Fork of Activity6_Task3

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Aajaykumarseelam@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 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.

AI-generated description

An example showing the capabilities of VizHub:

  • Loads D3 via UNPKG.
  • Demonstrates use of import from "d3".
  • Demonstrates use of import from local ES6 modules.
MIT Licensed

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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 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
95% match
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Fork of 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.

Sshivakumarganji@my.unt.edu
94% match
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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 Fork of Activity6_Task3

This scatter plot visualizes the Iris dataset, showing petal length against petal width, with each point colored by species (setosa, versicolor, or virginica) via a simple switch function. The visualization uses d3.csv to load remote CSV data, then d3.scaleLinear with extent domains to map values to screen coordinates, and d3.axisLeft and d3.axisBottom for labeled axes. Circles are rendered as SVG elements with fixed radius via d3.selectAll().join(), while sepal length and width are stored as unused data fields. The plot fills the browser viewport, with green axis titles rotated vertically for the y-axis.

Aaschowdary.shashi@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 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
94% match
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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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