Skip to main content
SimilarExport ZIP
100%

Activity6_Task3.2

✓ Published0🌍 Public
Kkartheekgrpt@gmail.com
Last edited Oct 21, 2024
Created on Oct 21, 2024
Forked from Activity6_Task3

This example visualizes the Iris dataset as a scatter plot, displaying petal length on the x-axis and petal width on the y-axis, with each point colored by species (setosa, versicolor, or virginica). The plot uses D3 v6 to load CSV data, apply linear scales, and render SVG circles. Axes are generated with `axisLeft` and `axisBottom`, and axis labels are added via SVG text elements. The code also demonstrates direct access to the D3 API through destructured imports and includes margins and responsive sizing based on window dimensions.

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 example presents a scatter plot of the Iris dataset, mapping petal length and petal width on the axes while coloring each point by species (setosa, versicolor, virginica). The visualization uses D3 v6 to load CSV data from a GitHub repository, apply linear scales via `d3.scaleLinear`, and render circles as SVG elements. Axis labels and styling are customized through D3's `axisLeft` and `axisBottom` helpers, with the plot sized to the full browser window.

LLakshmiDeepikaPagadala@my.unt.edu
95% match
Loading thumbnail…

Activity6_Task3.1

This example visualizes the Iris dataset as a scatter plot, mapping petal length and width to x and y positions while coloring each point by species (setosa, versicolor, or virginica) using predefined color markers. The visualization uses D3 v6 APIs including `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to construct scales and axes, with data loaded via `d3.csv` from a GitHub gist. Circles are rendered as SVG elements with their radii fixed and additional sepal dimensions stored as unused attributes, while axis labels are positioned using SVG text elements.

Vvenkatamanikantavaddi@my.unt.edu
95% match
Loading thumbnail…

Activity 6_Task 3

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width, with each point colored by species (setosa, versicolor, or virginica) using orange, skyblue, and lightgreen markers. It loads data from a CSV file via D3's `csv` function, then renders circles on an SVG canvas using `scaleLinear` and `extent` to set scales. Axes are generated with `axisLeft` and `axisBottom`, labeled with custom text elements. The visualization demonstrates D3 v6 imported via UNPKG and uses local variable destructuring for modular code.

Ppenujulilikhil01020@gmail.com
95% match
Loading thumbnail…

Activity6_Task3.1

This example visualizes the Iris dataset as a scatter plot, displaying petal length and petal width on the axes while coloring each point by species (setosa, versicolor, or virginica). It also encodes sepal length and width as the x- and y-radii of the circular markers. The visualization loads CSV data from a GitHub gist, uses D3 v6 modules including `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and `select`, and renders all marks as SVG circles. Axis labels are green, and the plot resizes to the full browser window.

Rrakesh.kavuru@outlook.com
95% match
Loading thumbnail…

Activity6_Task3

This example renders a scatter plot of the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis, with points colored by species (setosa, versicolor, virginica). Data is loaded via `d3.csv` from a GitHub raw URL. Using D3 v6 with SVG, the visualization applies `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to position circles with a fixed radius. Axis labels are added via SVG text elements. The code demonstrates importing D3 functions and local ES6 modules, though the main chart logic lives inline in the HTML.

Ggketan456@gmail.com
95% match
Loading thumbnail…

Activity6_Task3

This example presents a scatter plot of the Iris dataset, visualizing petal length and width for different species. The plot uses colored circles (skyblue, lightgreen, orange) to distinguish between setosa, versicolor, and virginica flowers, with each point’s size reflecting sepal dimensions via the `rx` and `ry` attributes. Built with D3 v6, it loads CSV data from a GitHub repository, uses `scaleLinear` and `extent` for axis scaling, and renders axes with `axisLeft` and `axisBottom`. The SVG output includes labeled axes and a centered title.

Aasimcyb@gmail.com
95% match
Loading thumbnail…

Activity6_Task3

This interactive 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 (setosa, versicolor, virginica) using the D3 v6 library with SVG rendering. The visualization loads CSV data from a GitHub repository using `d3.csv` and scales values with `scaleLinear`. Axes are generated using `axisLeft` and `axisBottom`, while the data values for sepal dimensions are encoded as custom attributes on the circles but are not visually represented on the plot.

Sskykarthik97@gmail.com
95% match
Loading thumbnail…

Activity6_Task3

This scatter plot visualizes the Iris dataset, displaying petal length against petal width while coloring each point by species (setosa, versicolor, or virginica) using D3 v6. The code loads CSV data via `d3.csv`, applies linear scales with `d3.scaleLinear`, and renders SVG circles with axes generated by `d3.axisLeft` and `d3.axisBottom`. Data parsing converts numeric fields, and the chart fills the browser window with responsive dimensions. The visualization distinguishes species through custom color mapping and includes labeled axes for petal measurements.

HHari Kiran
94% match