Skip to main content
SimilarExport ZIP
100%

Activity6_3

✓ Published0🌍 Public
Ddabbararakshitha@gmail.com
Last edited Apr 5, 2025
Created on Apr 5, 2025
Forked from Hello VizHub

This D3.js (v7) SVG scatter plot visualizes the classic Iris dataset, plotting sepal length against petal length. Each of the 150 flowers is shown as a circular point, with colors distinguishing the three species: skyblue for Setosa, lightgreen for Versicolor, and orange for Virginica. The visualization uses `d3.csv` to load data from a GitHub repository, `d3.scaleLinear` for axis scaling, and `d3.axisLeft` and `d3.axisBottom` to render the axes. Green Times-font labels identify the quantitative axes.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Activity6_3.2

This interactive scatter plot visualizes the classic Iris dataset, using D3.js v7 to map sepal length against petal length. Points are encoded with both color and shape to distinguish the three iris species (Setosa, Versicolor, and Virginica), with a legend showing the shape-to-species mapping. The visualization pulls data from a remote CSV file, parses it, and uses D3 scales for linear axes. The rendering uses D3 modules for scatterplot creation and shape-based legends, with circles, triangles, and squares representing each species.

Ddabbararakshitha@gmail.com
93% match
Loading thumbnail…

Activity-6_3

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis against petal length on the y-axis for three iris species (setosa, versicolor, and virginica), each distinguished by color. Built with D3.js v7, it uses `d3.scaleLinear` for both axes, `d3.scaleOrdinal` for species-based coloring, and SVG circles with fixed radius and opacity. The visualization includes axis labels and a manually positioned legend, with data loaded asynchronously via `d3.csv` from a GitHub gist.

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

Activity-6_Task-3.1

This D3.js (v6) scatter plot visualizes the Iris dataset, plotting petal length against petal width with colored circles representing each species (setosa, versicolor, virginica). The visualization also encodes sepal measurements as the `rx` and `ry` attributes on the circles, though the standard radius remains fixed. The SVG is rendered full-window, with axes generated via `d3.scaleLinear`, `d3.axisLeft`, and `d3.axisBottom`. Data is loaded asynchronously from a CSV URL using `d3.csv`. Axis labels are styled in green Times font.

HHarshathBudida@my.unt.edu
92% match
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_T3

This scatter plot visualizes the Iris dataset, showing each flower's 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, orange for virginica), and a legend identifies these color groupings. Built with D3 v6, the visualization uses `d3.csv` to load data, `d3.scaleLinear` for axis scaling, and `d3.axisLeft`/`d3.axisBottom` to render axes. The code also loads sepal dimensions into the dataset, though these are not visually encoded.

VVarshithMurakonda@my.unt.edu
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
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…

Activity-6_Task-3.1

This scatter plot visualizes the Iris dataset, showing petal length against petal width with points colored by species (setosa in skyblue, versicolor in lightgreen, and virginica in orange). The visualization uses D3 v6 APIs including `d3.csv` for data loading, `d3.scaleLinear` for the x and y axes, `d3.extent` to compute data domains, and `d3.axisLeft`/`d3.axisBottom` for axis rendering. The SVG is sized to the browser window, with data fetched from a GitHub-hosted CSV file. The code also stores sepal dimensions in each mark, though these are not used in the final rendered circles.

Hhoneyravuri.711@gmail.com
92% match