Skip to main content
SimilarExport ZIP
100%

Fork of Activity 6 Scatter Plot 3.1

✓ Published0🌍 Public
Vvullihanumantharao@gmail.com
Last edited Apr 5, 2024
Created on Apr 5, 2024

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 iris species (setosa, versicolor, or virginica). Using D3 v6, the code loads CSV data via `d3.csv`, scales positions with `d3.scaleLinear`, and renders circles in an SVG. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, while the data source is a remote GitHub-hosted CSV file. The plot also records sepal measurements as additional attributes but does not display them.

AI-generated description

We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Activity 7 Scatter Plot

A scatter plot visualizes the Iris dataset, showing petal length against petal width for each flower, with points colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica). The code, built with D3 v6, loads data via `d3.csv` from a GitHub gist, scales with `scaleLinear`, and renders SVG circles with `axisLeft` and `axisBottom`. It also stores sepal measurements in each point’s attributes but does not display them.

Pperamranji
95% match
Loading thumbnail…

Fork of Activity6_question3

This scatter plot visualizes the Iris dataset, mapping petal length and width on the x- and y-axes while coloring each point by species. It also encodes sepal measurements as the horizontal and vertical radii of the circular marks, though the visual effect is subtle. Built with D3 v6, the code loads CSV data via `d3.csv`, scales it with `d3.scaleLinear`, and renders SVG circles using `selectAll` and `join`. Axis labels are added with `axisLeft` and `axisBottom`. Data is sourced from a GitHub-hosted CSV file.

Ssuchigeneralpur@gmail.com
94% match
Loading thumbnail…

Fork of Activity 7 Scatter Plot

This scatter plot displays the Iris dataset, mapping petal length and petal width for individual flowers while coloring each point by species (setosa, versicolor, or virginica). The visualization uses D3 v6, fetching data via the `csv` function from a remote URL, then constructs the plot using `scaleLinear`, `axisLeft`, and `axisBottom`. Circles are rendered with SVG elements, and the code also references sepal dimensions through `rx` and `ry` attributes, although these do not affect the visual output.

Aabjalshaik02@gmail.com
94% match
Loading thumbnail…

Fork of activity6_task3

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 code loads CSV data from a GitHub gist and parses it with D3’s `csv` function. It uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to position circles in an SVG, while also including unused sepal measurements as attributes. The visualization highlights species clusters through distinct fill colors applied via a switch statement.

NNIIPUNNREDDY00@GMAIL.COM
94% match
Loading thumbnail…

Fork of Activity 7 Scatter Plot

This scatter plot visualizes the Iris dataset, displaying petal length and width for individual flowers. Each point is colored by species, with skyblue for setosa, lightgreen for versicolor, and orange for virginica. The code loads CSV data via `d3.csv` and scales axes with `d3.scaleLinear`, using features such as `d3.extent` for domain calculation. It generates SVG circles and appends axes using `d3.axisLeft` and `d3.axisBottom`, along with custom text labels for axis annotations.

Ppardha1411
94% match
Loading thumbnail…

Fork of Activity 6 task 3.1

This interactive scatter plot visualizes the Iris dataset, mapping petal length and petal width on the x- and y-axes while coloring each point by species (setosa, versicolor, or virginica). The visualization also encodes sepal length and width in the circle radius, though this behavior appears flawed as the code sets both `rx` and `ry` attributes without a clear geometric effect. Built with D3 v6, the example uses `d3.csv` to load remote data, `scaleLinear` and `extent` for scaling, and `axisLeft`/`axisBottom` for axes, rendering circles in an SVG canvas with a full-window viewport.

Ssagipavan2385@gmail.com
93% match
Loading thumbnail…

Fork of Activity 6 task 3.1

This interactive scatter plot visualizes the Iris dataset, mapping petal length and petal width on the x- and y-axes while coloring each point by species (setosa, versicolor, or virginica). The visualization also encodes sepal length and width in the circle radius, though this behavior appears flawed as the code sets both `rx` and `ry` attributes without a clear geometric effect. Built with D3 v6, the example uses `d3.csv` to load remote data, `scaleLinear` and `extent` for scaling, and `axisLeft`/`axisBottom` for axes, rendering circles in an SVG canvas with a full-window viewport.

Ssagipavan2385@gmail.com
93% match
Loading thumbnail…

Fork of Activity-6_task3.1

This scatter plot visualizes the Iris dataset, displaying petal length on the x-axis and petal width on the y-axis, with points colored by species (setosa, versicolor, virginica) using skyblue, lightgreen, and orange. The example loads CSV data via d3.csv, uses d3.scaleLinear for axis scaling, and d3.axisLeft/axisBottom for tick marks. Circles are rendered in SVG with d3.join, and each point’s radius is fixed, while sepal dimensions are encoded as rx and ry attributes, though these don’t affect the circular shape. Axis labels are added as SVG text elements, and the chart resizes to the browser window.

Aakitisaitejareddy@gmail.com
93% match