Skip to main content
SimilarExport ZIP
100%

Tutorial3.1_Activity6

✓ Published0🌍 Public
Ssanjanadadi19@gmail.com
Last edited Apr 4, 2024
Created on Apr 4, 2024
Forked from Hello VizHub

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 indicated by point shape. The visualization uses a categorical color-free shape legend to identify the three species, with axes labeled by the corresponding measurement variables. Built with D3 v7, the code leverages `scaleLinear`, `scaleOrdinal`, `symbol`, and `axisLeft`/`axisBottom` from the `d3` module, while fetching and parsing the CSV data via `csvParse`. The rendering uses a custom `scatterPlot` function that joins SVG path elements with `symbolsFill` shapes.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Activity6_tutorial3.2

This example shows a scatter plot of the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis. Each point is rendered as a different shape (circle, square, triangle, etc.) based on the iris species, with a legend explaining the shape-to-species mapping. The visualization uses D3 v7’s `scaleLinear`, `scaleOrdinal`, and `symbol` APIs to position marks and generate custom path shapes. Data is loaded as CSV from a GitHub repository and parsed with `csvParse`, while axis and legend components are built using `axisLeft`, `axisBottom`, and reusable selection patterns.

Vvenkatdinesh5010@gmail.com
95% match
Loading thumbnail…

Activity6_Tutorial3.2

This example demonstrates a scatter plot of the Iris dataset, mapping sepal length to the x-axis and petal length to the y-axis. It visualizes the three iris species using distinct shapes via a categorical scale and includes a custom shape legend. The visualization loads CSV data from a GitHub repository, uses d3.csvParse to parse it, and builds the chart with d3.scaleLinear, d3.scaleOrdinal, d3.symbol, and d3.axisLeft/axisBottom. Axes and legend are modularized into reusable ES6 modules.

Ssaimanvith22@gmail.com
95% match
Loading thumbnail…

Activity_6_Tutorial 3.2

This example demonstrates a scatter plot of the Iris dataset, showing sepal length versus petal length with points shaped according to species. The visualization includes labeled axes and a shape legend for the three species categories. Built with D3 v7, the code creates linear scales, applies an ordinal color shape scale using `symbolsFill`, and renders SVG symbols via `symbolGenerator`. Data is loaded asynchronously from a GitHub-hosted CSV and parsed with `csvParse` before being passed to the chart.

HHarsha vardhan reddy Yarmareddy
94% match
Loading thumbnail…

activity6 tutorial 3.2

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 from d3.symbolsFill. A custom shape legend displays the species labels and corresponding symbols. The visualization is built with D3 v7, using d3.scaleLinear for axes, d3.scaleOrdinal for shapes, and d3.csvParse to load data from a GitHub-hosted CSV file. The axes module generates labeled axes while the scatterPlot module renders symbols via d3.symbol.

Nnissisharon61@gmail.com
94% match
Loading thumbnail…

Activity6_Tutorial3.2

This example shows a scatter plot of the Iris dataset, mapping sepal length against petal length and using distinct symbol shapes to encode the species of each flower. A custom legend explains the shape-to-species mapping, with axes labeled accordingly. The visualization is built with D3 v7, using `scaleLinear` for the x and y positions and `scaleOrdinal` with `symbolsFill` for the categorical shapes. Data is loaded remotely as CSV and parsed with `csvParse`, while the chart, axes, and legend are composed from modular functions that manipulate SVG selections.

Vvarmanithish5@gmail.com
94% match
Loading thumbnail…

Activity-6 Tutorial-3

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 different species distinguished by distinct symbol shapes from `d3.symbol`. The visualization uses `d3.scaleLinear` for both axes and `d3.scaleOrdinal` with `symbolsFill` to assign shapes. It loads the data from a remote CSV file using `d3.csvParse` and renders the plot with D3 v7, including axes from the `axes.js` module and a shape legend generated via `d3.symbol`. The SVG fills the browser viewport, with margins and labels configured in the `scatterPlot` function.

Ssannihitha.k23@gmail.com
94% match
Loading thumbnail…

activity6_tutorial3.2

This interactive scatter plot visualizes the Iris dataset, displaying sepal length against petal length. Points are color-coded by species using a shape-based legend, with axes labeled accordingly. Built with D3 v7, the visualization dynamically loads CSV data from GitHub and uses `scaleLinear`, `scaleOrdinal`, `symbolsFill`, and `symbol` APIs for scaling and rendering. The code structure separates chart components into modular functions for axes, shape legends, and the main scatter plot, with a reactive state management pattern handling asynchronous data fetching and re-rendering on updates.

1188r1a0559@gmail.com
94% match
Loading thumbnail…

activity8tutorial3.1

This example shows a scatter plot of the Iris dataset, mapping sepal length to petal length and encoding species using different shapes via d3.symbol and a custom shape legend. The visualization loads the CSV data with d3.csvParse, updates the chart asynchronously through a state-based render pattern, and relies on d3.scaleLinear for axes positioning with d3.axisLeft and d3.axisBottom. Axes labels are generated manually, while the legend is built with d3.scaleOrdinal and symbolsFill, all within a scalable SVG that fills the viewport.

BBindumadhavi
94% match