Skip to main content
SimilarExport ZIP
100%

Activity6_Task3

✓ Published0🌍 Public
Ggroup118sai@gmail.com
Last edited Oct 21, 2024
Created on Oct 21, 2024
Forked from Hello VizHub

This scatter plot visualizes the Iris dataset, plotting petal length against petal width, with each point colored by species (setosa, versicolor, or virginica) using D3 v6. The visualization loads CSV data from a GitHub repository, employing `d3.csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to render axis scales. Circles are drawn via SVG selections, with fill colors determined by a switch statement on species, and the code also assigns `rx` and `ry` values from sepal measurements. The chart fills the browser window, with styled axis labels for petal and sepal lengths.

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

Similar vizzes

Loading thumbnail…

Activity6_Task3

This scatter plot visualizes the Iris dataset, showing petal length on the x-axis and petal width on the y-axis, with each point colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica). The visualization uses D3 v6 with `d3.csv`, `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` to load data from a GitHub-hosted CSV and render SVG circles. Axis labels for petal length and sepal length are added with lower-case text, using a green font.

Kkowshiksamudrala08@gmail.com
97% match
Loading thumbnail…

Activity6_Task3

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 (setosa, versicolor, and virginica). The visualization uses d3.v6’s `scaleLinear`, `axisLeft`, and `axisBottom` to render axes, while `csv` loads the remote GitHub-hosted data. Circles are appended via data joins, with `cx` and `cy` positions scaled from the parsed numerical values, and fill colors assigned per species. The SVG renders full-window, with axis labels noting petal length and sepal length metrics despite the plot’s primary dimensions.

Rrakshithareddy217@gmail.com
97% match
Loading thumbnail…

Activity6_Task3

This scatter plot visualizes the iris dataset, showing petal length on the x-axis and petal width on the y-axis, with each point colored by species (setosa, versicolor, or virginica). The visualization uses D3.js v6, loading data from a GitHub CSV file via `d3.csv`. It employs `d3.scaleLinear` for both axes, `d3.extent` for domain calculation, and `d3.axisLeft` and `d3.axisBottom` for chart axes. The SVG circles have a fixed radius but their `rx` and `ry` attributes are set to sepal measurements, though these do not affect circular rendering.

KKondreddy Saikiran reddy
97% match
Loading thumbnail…

Activity6_Task3

This scatter plot visualizes the Iris dataset, plotting petal length against petal width, with each point colored by species (setosa, versicolor, or virginica) using a custom marker function. The visualization is built with D3 v6, using `scaleLinear` for both axes, `axisLeft` and `axisBottom` for chart framing, and loads the data from a remote CSV file via the `csv` function. Note that while the code also parses sepal dimensions, only the petal measurements are currently displayed. The chart is drawn as an SVG, with circles sized at a fixed radius and axes labeled in green.

MMallikarjun Narra
96% match
Loading thumbnail…

Activity6_Task3 .1

This scatter plot visualizes the Iris dataset, displaying petal length on the x-axis and petal width on the y-axis. Points are colored by species using a switch statement mapping setosa to darkgreen, versicolor to yellow, and virginica to red. The visualization loads CSV data from a GitHub repository using d3.csv, then creates SVG circles positioned with d3.scaleLinear scales. Axes are generated with d3.axisLeft and d3.axisBottom, while width and height adapt to the browser window. The code also reads sepal dimensions but does not use them in the current rendering.

Ssrilekhasridasyam@my.unt.edu
96% match
Loading thumbnail…

Activity6_Task3

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis, with each point colored by species (setosa, versicolor, or virginica). It uses D3 v6 to load CSV data via `d3.csv`, scales with `scaleLinear`, and renders SVG circles with custom `rx` and `ry` attributes derived from sepal measurements. Axes are drawn using `axisLeft` and `axisBottom`, with labeled axes for petal length and sepal length. The plot fills the browser window and is styled with a red italic title.

Ssaiteja.cse.rymec@gmail.com
96% match
Loading thumbnail…

Activity6_Task3

This scatter plot visualizes the Iris dataset, displaying petal length against petal width, with each point colored by species (setosa, versicolor, or virginica) to highlight group separation. The chart reads the data from a CSV file and uses D3's `scaleLinear` for axes, `axisLeft` and `axisBottom` for ticks, and maps species to colors via a switch statement. Rendered as an SVG, the plot includes labeled axes for petal and sepal measurements, though the sepal length label appears misaligned. The visualization uses D3 v6 APIs, including `csv` for data loading and data join operations for drawing circles.

Mmohanalaharic@gmail.com
96% match
Loading thumbnail…

Activity6_Task3.1

This scatter plot visualizes the Iris dataset by mapping petal length and petal width, with points colored by species (setosa, versicolor, virginica). Using D3 v6, the code loads CSV data with the `csv` function, creates axes with `axisLeft` and `axisBottom`, and applies `scaleLinear` for positioning. Circles are rendered via SVG selections, with an unusual use of `rx` and `ry` attributes based on sepal dimensions. The raw data comes from a GitHub-hosted CSV file.

VVidya Lakshmi Chitturi
96% match