Skip to main content
SimilarExport ZIP
100%

Activity6_Task3.2

✓ Published0🌍 Public
DDeekshitha Annreddy
Last edited Oct 24, 2024
Created on Oct 24, 2024
Forked from Activity6_Task1

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 symbol shapes (circles, triangles, and squares) with a custom legend. It uses d3.scaleLinear for axes, d3.scaleOrdinal with d3.symbolsFill for shape mapping, and d3.axisLeft/axisBottom via a reusable axes module. The data loads asynchronously as CSV from a GitHub repository and is parsed with d3.csvParse. The visualization builds its SVG using d3.select and join patterns, with local ES6 modules for modular structure.

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…

Activity6_task3.2

This example shows a scatter plot of the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis, with species indicated by different symbols and a legend. The visualization loads the data from a GitHub CSV file, parses it with `d3.csvParse`, and uses D3 v7’s `d3.scaleLinear`, `d3.scaleOrdinal`, `d3.symbolsFill`, and `d3.axisBottom`/`d3.axisLeft` for scales and axes. The code employs a `join`-based declarative grammar to build SVG elements, with a custom `shapeLegend` for symbol encoding. The plot adapts to the window size and updates dynamically as data loads.

RRJVENKATESH789@GMAIL.COM
96% match
Loading thumbnail…

Activity6_Task3.2

This example shows a scatter plot of the Iris dataset, encoding sepal length on the x-axis, petal length on the y-axis, and species using different D3 symbol shapes, with a legend for the shapes. The visualization loads data from a remote CSV file via `fetch` and `csvParse`, then uses `scaleLinear`, `scaleOrdinal`, and `symbol` to map data to positions and shapes. It builds the chart using `svg.call` with reusable modules for axes and legend, and updates dynamically through a state-based render loop.

Ssrilekhasridasyam@my.unt.edu
95% match
Loading thumbnail…

Activity6_Task3.2

This example shows a scatter plot of the Iris dataset, mapping sepal length to petal length and encoding species with distinct symbols. It uses D3 v7 modules such as `scaleLinear`, `scaleOrdinal`, `axisLeft`, `axisBottom`, and `symbol` to draw marks and axes. The visualization is built with modular ES6 imports for chart, axes, and legend components. Data is loaded asynchronously via `fetch` and parsed with `csvParse`, then rendered in an SVG that fills the window.

LLakshmiDeepikaPagadala@my.unt.edu
95% match
Loading thumbnail…

Activity6_Task3.2

This example displays a scatter plot of the Iris dataset, mapping sepal length to the x-axis and petal length to the y-axis, with species encoded by distinct symbols and a corresponding legend. It uses D3 v7’s `scaleLinear`, `scaleOrdinal`, and `symbol` APIs to position marks and generate shapes. Data is loaded from a remote CSV via `csvParse` and fetched asynchronously. The visualization also demonstrates modular ES6 imports for reusable axis and legend components.

Kkrishnavisheshkatta@my.unt.edu
95% match
Loading thumbnail…

Activity6_Task3.1

This example shows an interactive scatter plot of the Iris dataset, mapping sepal length to the x-axis and petal length to the y-axis, with each species represented by a distinct symbol shape. The visualization uses D3.js v7 APIs including `scaleLinear`, `scaleOrdinal`, `symbolsFill`, and `symbolGenerator` to render the marks, while a custom shape legend displays the species categories. Data is loaded asynchronously from a GitHub-hosted CSV file using `fetch` and parsed with `csvParse`, with numerical fields coerced to numbers before plotting. The chart includes labeled axes and a legend, all rendered within an SVG canvas sized to the full viewport.

Bbudalavijay2001@gmail.com
95% match
Loading thumbnail…

Activity6_Task3.2

This example demonstrates a scatter plot of the Iris dataset, showing sepal length versus petal length with different point shapes representing species. The visualization loads data from a GitHub-hosted CSV file, parses it with `d3.csvParse`, and renders points using D3 v7's `scaleLinear`, `scaleOrdinal`, and `symbol` generators. A custom shape legend, implemented as an ES6 module, displays the three species with matching symbols. Axes are drawn using `axisLeft` and `axisBottom`, with labels positioned via D3 selection methods.

Gguttavenkata745@gmail.com
95% match
Loading thumbnail…

Activity 6_Task3.2

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 the three flower species distinguished by different symbol shapes (circles, crosses, and diamonds) via a shape legend. The visualization is built with D3 v7, using `scaleLinear`, `scaleOrdinal`, `symbol`, and `symbolsFill` to position and style the marks. It fetches the CSV data from a GitHub repository and renders it in an SVG sized to the window. A modular structure separates the axes, legend, and plot logic into reusable functions.

SSiva Kishore Reddy
95% match
Loading thumbnail…

Activity6_Task3.2

This example demonstrates a scatter plot of the Iris dataset, mapping sepal length against petal length and distinguishing species by shape. It loads data from a CSV file and uses D3 v7 APIs including `scaleLinear`, `scaleOrdinal`, `symbolsFill`, and `csvParse`. The visualization includes custom axes and a shape legend, built with reusable local ES6 modules.

Llikhitha.sarahah01@gmail.com
95% match