Skip to main content
SimilarExport ZIP
100%

Activity_6_Task_3

✓ Published0🌍 Public
TTarshit Vupperla
Last edited Oct 25, 2024
Created on Oct 25, 2024

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width, with each point colored according to the flower's species. The visualization uses D3 v6, specifically leveraging the `csv`, `select`, `scaleLinear`, and `extent` functions to load and scale the data, and rendering with SVG circles. Axis labels are added using `axisLeft` and `axisBottom`, with the chart's dimensions adapting to the browser window.

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…

Activity 6_Task 3

This scatter plot visualizes the Iris dataset, showing petal length against petal width, with points colored by species: setosa, versicolor, and virginica. The visualization uses D3 v6 to load CSV data and render circles on an SVG canvas, with axis labels for petal length and sepal length. Axes are generated using `d3.axisLeft` and `d3.axisBottom`, while the data is scaled with `d3.scaleLinear` and `d3.extent`. The plot is built entirely with D3 selections, appending circles and text elements directly to the SVG.

DDipesh
94% match
Loading thumbnail…

Activity6_Task3

This scatter plot visualizes the Iris dataset, displaying petal length against petal width for individual flowers. The visualization, built with D3 v6 and rendered as an SVG, uses colored circles to distinguish between the three Iris species: setosa, versicolor, and virginica. The code loads data from a CSV file and applies the `d3.scaleLinear` API for both the x and y axes, with `d3.axisLeft` and `d3.axisBottom` for the chart’s labeled axes.

Ggouthamigongidi2457@gmail.com
94% match
Loading thumbnail…

Activity_6_Task_3_2

This example displays a scatter plot of the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis. Points are colored by shape to represent different species, with a legend for the categorical variable. The visualization uses D3 version 7 libraries including `scaleLinear`, `scaleOrdinal`, `symbol`, `axisLeft`, and `axisBottom`. It loads CSV data from a GitHub repository and renders the plot using D3's selection and join operations within an SVG container.

TTarshit Vupperla
94% 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). The plot uses D3 v6, loading CSV data via `d3.csv` and creating a linear scale with `d3.scaleLinear` for both axes. The SVG visualization includes circles with fixed radius, axes generated by `d3.axisLeft` and `d3.axisBottom`, and misuses `rx` and `ry` attributes for circles. The plot is rendered full-window with margins, and axis labels are added as SVG text elements.

HHarshita Vairagade
93% match
Loading thumbnail…

Activity6_Task3

This example uses a scatter plot to visualize the Iris dataset, displaying petal length and petal width on the axes while coloring each point by species (setosa, versicolor, virginica). The D3 v6 code loads CSV data via the `csv` function, maps sepal and petal measurements using `scaleLinear` and `extent`, and renders the plot with SVG circles. It creates axes using `axisLeft` and `axisBottom` and adds data-driven colors, providing a clear comparison of species clusters in the flower measurements.

Vvenkataravitarunelisetty@my.unt.edu
93% match
Loading thumbnail…

Activity6_Task 3

This scatter plot visualizes the Iris dataset, showing the relationship between petal length (x-axis) and petal width (y-axis). Each point represents a flower sample, with color encoding indicating the iris species (setosa, versicolor, or virginica). The visualization uses D3 v6, loading CSV data directly from a GitHub repository, and employs `scaleLinear` for axes and `axisLeft`/`axisBottom` for tick marks. Circles are rendered as SVG elements, with a legend implied by the color mapping.

Hharinihari6791@gmail.com
93% match
Loading thumbnail…

Activity 6_Task 3

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. The D3 v6 code loads CSV data from a GitHub gist, then uses `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` to map values to screen coordinates and render axes. Circles are drawn via SVG joins with species-based colors, while axis labels are added as text elements.

NNagalakshmi Thota
93% 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. Each point is colored by species—skyblue for setosa, lightgreen for versicolor, and orange for virginica—revealing distinct clusters. Using D3 v6, the code loads CSV data, applies linear scales via `scaleLinear`, and renders SVG circles with `selectAll` and `join`. The chart includes left and bottom axes from `axisLeft` and `axisBottom`, with rotated axis labels for petal dimensions.

Cchandrikachowdary867@gmail.com
93% match