Activity 7 Task 4

100%

Activity 7 Task 4

✓ Published0🌍 Public

Last edited Jul 3, 2023

Created on Jun 28, 2023

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis, with each species distinguished by a unique symbol shape and a corresponding legend. The code uses D3 v7 modules including `scaleLinear`, `scaleOrdinal`, `schemeCategory10`, `symbolsFill`, and `symbol` to render marks. Axes are constructed via modular `axisLeft` and `axisBottom` functions, while data is loaded asynchronously with `csvParse` from a GitHub-hosted CSV file.

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 7 Task 4

This example shows a scatter plot of the Iris dataset, mapping sepal length to the x-axis and petal length to the y-axis, with species differentiated by marker shape. The D3 v7 code uses `scaleLinear`, `scaleOrdinal`, and `symbolsFill` to position points and assign shapes, while custom modules `axes.js` and `shapeLegend.js` add labeled axes and a species legend. Data is loaded from a remote CSV and parsed with `csvParse`.

MmNamratha25

94% match

Loading thumbnail…

Activity_7_Task_4

This scatterplot visualizes the Iris dataset, plotting sepal length against petal length while encoding species identity through point shape. The chart renders an SVG using D3 v7, with axes and scales built via `scaleLinear` and `axisBottom`/`axisLeft`. A custom shape legend using `scaleOrdinal` and `symbolsFill` distinguishes the three species, while data loads from a remote CSV and is parsed with `csvParse`. Markers are drawn as positioned `path` elements with `symbol` generators, and the visualization adapts to the full window size.

Ssreekarthanda@gmail.com

92% match

Loading thumbnail…

Activity 7_Task 3

This scatter plot displays the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis, with species distinguished by different symbol shapes. The visualization uses D3 v7 APIs including `scaleLinear`, `scaleOrdinal`, `symbolsFill`, `axisLeft`, and `axisBottom` to render marks, axes, and a custom shape legend. Data is loaded asynchronously via `fetch` and parsed with `csvParse` from a remote CSV file. The chart updates responsively to the browser window dimensions.

KKeerthiAnnem

92% match

Loading thumbnail…

Activity7 Task4

This example demonstrates a scatter plot of the Iris dataset, encoding sepal length on the x-axis, petal length on the y-axis, and species as categorical point shapes. The visualization loads data asynchronously from a CSV file and parses it with `d3.csvParse`. It uses `d3.scaleLinear` and `d3.scaleOrdinal` for scales, renders marks with the `d3.symbol` generator, and includes a custom shape legend built via a reusable ES6 module. Axes are drawn using `d3.axisLeft` and `d3.axisBottom` from a shared axes module.

HHarshithaAmbilpur

92% match

Loading thumbnail…

Activity 7 Task 4

This example displays an interactive scatter plot of Fisher's Iris dataset, mapping sepal length and petal length while encoding species through distinct marker shapes. Built with D3.v7, it uses imports like `scaleLinear`, `scaleOrdinal`, and `symbol` to handle scaling and shape generation. The code fetches CSV data via URL, parses it with `csvParse`, and renders axes with `axisLeft` and `axisBottom`, including a custom shape legend to identify species.

AArun Pratap

91% match

Loading thumbnail…

Activity7_task4_shape

This scatter plot visualizes iris flower measurements, encoding sepal length on the x-axis, petal length on the y-axis, and species as different symbol shapes. The plot uses D3 v7 APIs including `scaleLinear`, `scaleOrdinal`, `symbolsFill`, and `symbol` to generate the marks. A custom legend built with `shapeLegend` displays the species-to-shape mapping, while the `axes` module adds labeled axes. Data is loaded asynchronously from a CSV file on GitHub and parsed with `csvParse`.

HHemanthh81

91% match

Loading thumbnail…

Activity 7 Task 3

This scatter plot visualizes the Iris dataset, showing petal length against petal width for three iris species. Each point is color-coded by species: sky blue for setosa, light green for versicolor, and orange for virginica. The visualization uses D3 v5, loading data via `d3.csv`, scaling axes with `d3.scaleLinear`, and rendering SVG circles with `d3.select`. Axis labels are added using D3's `axisLeft` and `axisBottom` functions, with colored text labels for clarity.

MMichael Biancardi

90% match

Loading thumbnail…

Activity7 Task4

This scatter plot displays Iris flower measurements, plotting sepal length against petal length for three species. The visualization uses a D3 v7 pipeline with specialized modules for axes and a custom shape legend. Data loads asynchronously from a CSV file, with numeric columns parsed for plotting. Marks are rendered as SVG paths whose shapes encode species identity, while the legend maps each shape to its corresponding species name.

Mmn0658

90% match