Skip to main content
SimilarExport ZIP
100%

Finalq3activity6

✓ Published0🌍 Public
Vvaishnavi6gan@gmail.com
Last edited Apr 4, 2024
Created on Apr 4, 2024

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 (skyblue for setosa, lightgreen for versicolor, and orange for virginica). The visualization uses D3 v6 APIs including `csv`, `select`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load the CSV data, compute axis scales, and render the SVG plot. The code also reads additional flower dimensions for potential use, though it focuses on displaying the petal measurements and species classification.

AI-generated description

We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

Similar vizzes

Loading thumbnail…

activity 6 task 3

This scatter plot visualizes the Iris dataset, depicting petal length against petal width for individual flowers, with color-coded points for each species (setosa, versicolor, and virginica). The visualization uses D3 v6 with `csv()`, `scaleLinear()`, and `extent()` to load data from a GitHub-hosted CSV and map values to screen coordinates. Points are rendered as SVG circles using `selectAll().join()`, with an `axisLeft()` and `axisBottom()` providing labeled axes. The code also reads sepal measurements but applies them as circle `rx` and `ry` attributes, though these are overridden by a fixed radius value.

Ssairamisetti3829@gmail.com
92% match
Loading thumbnail…

Activity6_Q3

This scatter plot visualizes the Iris flower dataset, mapping petal length and width for individual data points on a two-dimensional grid. Each circle is colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica) using D3 v6’s `csv` loader and `scaleLinear` scales. The SVG rendering uses `axisLeft` and `axisBottom` for axes, with custom label text for petal length and sepal length. The code imports D3 from UNPKG and demonstrates local ES6 module usage through the `main` async function.

Ggreeshmareddy135@gmail.com
92% match
Loading thumbnail…

Activity6_task3

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width for three flower species. Colored circles represent each species, with skyblue for setosa, lightgreen for versicolor, and orange for virginica. The visualization loads data from a CSV file using d3.csv and renders SVG circles with d3.scaleLinear for axes positioning. Axis labels rotate with SVG transforms, and species-specific colors are assigned through a JavaScript switch statement. The plot uses d3.axisLeft and d3.axisBottom for the coordinate system.

Cchinnivikramnunna@gmail.com
92% match
Loading thumbnail…

Activity06Task3.1

This scatter plot visualizes the Iris dataset, displaying 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, and orange for virginica). The visualization uses D3 v6 APIs including `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to map data coordinates and render SVG circles with a fixed radius. Data is loaded asynchronously from a CSV file hosted on GitHub via `d3.csv`, with additional sepal measurements parsed but not directly plotted. The chart fills the browser window and includes rotated axis labels for clarity.

Bbharatchowdarypotluri@my.unt.edu
92% match
Loading thumbnail…

Activity6_Task3

This scatter plot visualizes the Iris dataset, showing petal length against petal width for individual flowers. Points are colored by species—sky blue for setosa, light green for versicolor, and orange for virginica—using D3.js v6. The code loads CSV data from a GitHub repository and uses `d3.scaleLinear`, `d3.extent`, and `d3.axisLeft`/`d3.axisBottom` to create the axes. It renders as an SVG, with circles positioned by the scaled petal measurements and styled via a switch statement on the species field. The plot includes custom axis labels in green.

Bbhargavr016@gmail.com
92% match
Loading thumbnail…

activity6_task3

This scatter plot visualizes the Iris dataset, mapping petal width against petal length for individual flowers. Each circle is colored by species—sky blue for setosa, light green for versicolor, and orange for virginica—using D3 v6’s `scaleLinear`, `axisLeft`, and `axisBottom` APIs. The SVG rendering also encodes sepal dimensions via circle `rx` and `ry` attributes, though the visual effect is subtle due to a constant radius. Data loads from a GitHub-hosted CSV via `d3.csv`.

Ssravani1969@gmail.com
91% match
Loading thumbnail…

Activity_6 T_3.1

This scatter plot visualizes the Iris dataset, mapping petal length and width for each flower and coloring points by species: setosa in blue, versicolor in purple, and virginica in orange. The SVG visualization uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data, scale axes, and render circles. The code assigns petal measurements to the x- and y-axes while also reading sepal dimensions into the circle attributes, though the visual encoding focuses on the petal scatter with a red title and green axis labels.

Bbhavya.kanyadara@gmail.com
91% match
Loading thumbnail…

QUESTION3ACT6

This scatter plot visualizes the Iris dataset, showing petal length against petal width for individual flowers, with each species (setosa, versicolor, virginica) represented by a distinct color. The SVG visualization uses D3 v6's `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` functions to load, scale, and render the data points. The code maps the raw data from the provided CSV URL to circle positions, with the `marker` function assigning colors based on species type.

Vvaishnavi6gan@gmail.com
91% match