Skip to main content
SimilarExport ZIP
100%

Activity6_3.2

✓ Published0🌍 Public
Nnumitha
Last edited Apr 6, 2024
Created on Apr 6, 2024

This scatter plot visualizes Iris flower measurements, plotting sepal length against petal length while using different shapes to distinguish between species. The visualization loads the Iris dataset from a remote CSV file using `csvParse`, then renders the points with `d3.symbol` glyphs. A shape legend identifies each species, while `d3.scaleLinear` and `d3.scaleOrdinal` handle the continuous axes and categorical shape mapping. The chart includes labeled axes and a legend positioned within the SVG canvas.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Activity6-3.1

This scatter plot visualizes the Iris dataset, plotting sepal length against petal length, with points colored and shaped according to species. The visualization uses D3 v7's `scaleLinear` for axes, `scaleOrdinal` with `symbolsFill` for categorical shapes, and a custom legend to map species to distinct symbols. Data is loaded asynchronously from a remote CSV file using `csvParse`, and the axes and legend are rendered via reusable D3 modules.

BBibek Lamsal
95% match
Loading thumbnail…

Activity_6_3_2

This example shows a scatter plot of iris flower measurements, encoding sepal length on the x-axis, petal length on the y-axis, and species as point shapes. It loads the Iris dataset from a CSV file and parses it with `d3.csvParse`. The visualization uses `d3.scaleLinear` for positional scales and `d3.scaleOrdinal` with `d3.symbolsFill` to map species to distinct marker shapes. Axes and a custom shape legend are drawn using D3 selections, with `d3.axisLeft`, `d3.axisBottom`, and `d3.symbol` generators.

LLarry Johnson
95% match
Loading thumbnail…

Activity6_Task3.2

This scatter plot visualizes the Iris dataset, showing sepal length against petal length, with each of the three species represented by a distinct symbol. The visualization uses D3 version 7 to render SVG elements, employing `scaleLinear` for axes and `scaleOrdinal` with `symbolsFill` to map species to different point shapes. Data is loaded asynchronously through a CSV file fetch, then parsed with `csvParse` before being displayed with custom axis and shape legend components.

GGunna,Praneeth Reddy
94% match
Loading thumbnail…

Activity 6 Task 3.2

This interactive scatter plot visualizes the Iris dataset, displaying sepal length against petal length for different iris species. The visualization uses D3 v7 to render points with distinct shapes representing species categories, accompanied by axes and a shape legend to differentiate groups. Data is loaded from a remote CSV file via `csvParse`, with numerical parsing applied to measurement columns. The plot uses a linear scale for both axes and an ordinal scale for categorical species encoding, with the shape legend positioned independently of the main plot.

Ssagipavan2385@gmail.com
94% match
Loading thumbnail…

Activity6 Task3.2

This interactive scatter plot visualizes the Iris flower dataset, mapping sepal length against petal length and encoding species with distinct symbols from a shape legend. Built with D3 v7, it loads data from a remote CSV and uses modular components including `d3.scaleLinear`, `d3.scaleOrdinal`, `d3.symbol`, and custom axes and legend functions. The visualization dynamically updates to fill the viewport and recreates the plot from fetched data.

Ppslharika@gmail.com
94% match
Loading thumbnail…

Activity-6_task3.2

This scatter plot visualizes the Iris dataset, showing sepal length against petal length, with each of the three species represented by a distinct symbol shape and a corresponding legend. The visualization uses d3.scaleLinear for the x and y axes, d3.scaleOrdinal with d3.symbolsFill for species-based shapes, and d3.axisLeft and d3.axisBottom for the axes. Data is loaded asynchronously via fetch and parsed with d3.csvParse.

Aakitisaitejareddy@gmail.com
94% match
Loading thumbnail…

Activity6Task3.2

This scatter plot displays Iris flower measurements, plotting sepal length against petal length for individual specimens. Each point’s shape encodes the species category, with a dedicated legend identifying the three species groups. The visualization loads the Iris dataset from a GitHub-hosted CSV file and parses it using `d3.csvParse`. It renders marks using the `d3.symbol` API with `symbolsFill` to generate different point shapes, while `d3.scaleLinear` and `d3.scaleOrdinal` handle positional and categorical scaling, and custom axes and legend components are assembled using D3 selections.

Gganesh.hns48@gmail.com
94% match
Loading thumbnail…

Activity6 task3.2

This scatter plot visualizes the Iris dataset, plotting sepal length against petal length. Each point is rendered as a distinct symbol—circle, cross, or square—to represent the three species of Iris flowers, categorized on a categorical color scale. The visualization is built using D3.js (v7), using the `scaleLinear` and `scaleOrdinal` APIs to map data to positions and symbols. Axes and a shape legend are drawn using custom `axes` and `shapeLegend` modules, which utilize D3’s `axisLeft` and `axisBottom` functions. Data is loaded from a remote CSV file and parsed with `csvParse`.

Hhkodiripaka15@gmail.com
94% match