Skip to main content
SimilarExport ZIP
100%

shape

✓ Published2🌍 Public
Vvishu.valandas@gmail.com
Last edited Oct 22, 2024
Created on Oct 22, 2024
Forked from Question1

This interactive scatter plot displays the Iris dataset, showing sepal length against petal length with a point's shape encoding its species. The visualization includes axes, axis labels, and a custom legend for the shape encoding. It uses D3 v7, specifically `scaleLinear` for scaling, `scaleOrdinal` for the shape mapping, and `symbolGenerator.type().size()` to draw the points. Data is loaded from a GitHub-hosted CSV and parsed via `csvParse`. The chart dynamically updates based on the window size.

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…

Scatter Plot with Shape

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis, petal length on the y-axis, and encoding species using different marker shapes. The visualization includes axes with labels and a shape legend to identify species categories. Built with D3 v7, the code uses `scaleLinear`, `scaleOrdinal`, `symbolsFill`, and `symbol` APIs to generate the plot. The implementation relies on a custom `axes.js` module for axis rendering and a `shapeLegend.js` module for the legend, with data loaded asynchronously from a CSV file.

Ssusarlasruthi2000@gmail.com
93% match
Loading thumbnail…

Scatter Plot with Shape

This scatter plot displays the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis, with each species represented by a distinct symbol shape. The visualization loads CSV data via `fetch`, parses it with `d3.csvParse`, and renders circular, triangular, and other shapes using `d3.symbol` and `symbolsFill`. A custom shape legend, built with `scaleOrdinal`, identifies species, while `d3.axisLeft` and `d3.axisBottom` provide labeled axes. The chart updates responsively to the browser window size.

Cchsaisriharsha@gmail.com
92% match
Loading thumbnail…

scatter plot with shape

This example uses a scatter plot to visualize the Iris dataset, displaying sepal length against petal length. Points are color-coded, with distinct shapes distinguishing the three Iris species, supported by a legend for reference. Built with D3 v7, the visualization uses the `select()` and `join()` APIs to efficiently manage SVG elements, while `scaleLinear` and `scaleOrdinal` handle positional and shape encodings. The chart loads data from a remote CSV file and includes axis labels and tick marks for readability.

Aamarnadhkari98@gmail.com
92% match
Loading thumbnail…

Scatter Plot with Shape

This example visualizes the Iris Dataset as a scatter plot, mapping sepal length to the x-axis and petal length to the y-axis, with each of the three iris species distinguished by a distinct symbol shape. A legend encoded with the same shapes identifies the species. The visualization uses D3 v7’s `scaleLinear`, `scaleOrdinal`, and `symbol` to position and shape the data points, alongside `axisLeft` and `axisBottom` for the axes. Data is loaded from a CSV file and parsed with `csvParse`, with symbols rendered using `symbolGenerator.type().size()`.

CCurran Kelleher
92% match
Loading thumbnail…

scatter plot with shape

This example presents a scatter plot of the Iris dataset, mapping sepal length to the x-axis and petal length to the y-axis. It distinguishes the three iris species by rendering each data point with a distinct shape from the `symbolsFill` array, using `scaleOrdinal` and the `symbol` type generator. The visualization includes labeled axes built with `axisLeft` and `axisBottom`, alongside a custom shape legend positioned within the plot. The chart loads data via `csvParse` from a remote GitHub source and demonstrates modular ES6 imports for local visualization components.

Vvikramkotlo9@gmail.com
91% match
Loading thumbnail…

Activity 7 - Scatter Plot with Shape

This scatter plot displays the relationship between sepal length and petal length in the Iris dataset, with species encoded through distinct point shapes. The visualization uses D3 v7 to load data from a GitHub-hosted CSV file and applies d3.scaleLinear for axes, d3.scaleOrdinal with d3.symbolsFill for shape mapping, and a custom shape legend. Points are rendered as SVG paths using d3.symbol, while axes and labels are generated via custom axis functions.

Ppasyasahas
91% match
Loading thumbnail…

Scatter Plot with Shape

This scatter plot visualizes the Iris dataset, plotting sepal length against petal length for individual flowers. Each point’s shape encodes the flower species using D3’s `symbolsFill` and `symbol()`, with a legend generated via a custom `shapeLegend` component. The chart uses D3 v7’s `scaleLinear`, `scaleOrdinal`, `axisLeft`, and `axisBottom` APIs, pulling data from a remote CSV file. A custom `symbolGenerator` renders distinct geometric markers (circles, squares, etc.) for each species, while axes and labels are assembled through the reusable `axes` module.

Rrikhitakoganti12
91% match
Loading thumbnail…

Scatterplot with shape

This example plots the classic Iris flower dataset on a scatterplot, using sepal length and petal length as the x- and y-axes. Species are distinguished by different symbol shapes, with a legend that supports interactive filtering by clicking on a species. The visualization is built with D3 v7, using `d3.scaleLinear`, `d3.scaleOrdinal`, and `d3.symbol` for shape encoding. Data loads from a CSV file, and hover interactions update the legend’s opacity to highlight the selected species.

SSubhendu Karmakar
91% match