Skip to main content
SimilarExport ZIP
100%

Activity6_tutorial3.2

✓ Published0🌍 Public
Vvenkatdinesh5010@gmail.com
Last edited Apr 1, 2025
Created on Apr 1, 2025
Forked from Hello VizHub

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.

AI-generated description
MIT Licensed

Similar vizzes

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
96% 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
96% match
Loading thumbnail…

Tutorial3.1_Activity6

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.

Ssanjanadadi19@gmail.com
95% match
Loading thumbnail…

Activity 6_tutorial 3.2

This interactive scatter plot visualizes the Iris dataset, mapping sepal length to the x-axis and petal length to the y-axis, with species indicated by distinct marker shapes. Using D3.js version 7, the visualization employs scales from `scaleLinear` and `scaleOrdinal`, along with the `symbol` API to generate shape-based marks. The plot includes labeled axes from `axisLeft` and `axisBottom`, and a custom shape legend. Data is loaded asynchronously from a CSV file and parsed with `csvParse`, with point positions calculated via the `xScale` and `yScale` functions.

Ssairohithchada@gmail.com
95% match
Loading thumbnail…

Activity6_tutorial3.2

This scatter plot uses D3 v7 to visualize the Iris dataset, plotting sepal length against petal length. Each flower is rendered as a shape-coded path marker, with the species determining the symbol type via a d3.symbol generator and ordinal scale. A custom axes module adds labeled x and y axes using d3.axisLeft and axisBottom, while a shape legend provides a key for species, positioned on the right. Data is fetched as CSV and parsed with d3.csvParse.

Vvenkatdinesh5010@gmail.com
95% match
Loading thumbnail…

Activity6_tutorial3.2

This interactive scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis, with species encoded by distinct marker shapes. The D3.js v7 code uses `scaleLinear`, `scaleOrdinal`, `symbolsFill`, and `symbol` within `scatterPlot.js` and `shapeLegend.js` to render the marks and a custom legend. Axes are drawn using `axisLeft` and `axisBottom`, and data is fetched as CSV and parsed with `csvParse`. The plot updates in response to window resizing, using SVG for rendering.

Cchinnivikramnunna@gmail.com
95% match
Loading thumbnail…

Activity6_tutorial3.2

This interactive scatter plot visualizes the Iris dataset, showing sepal length against petal length with each species represented by a distinct symbol. The visualization uses D3.js v7 APIs including scaleLinear, scaleOrdinal, and symbol to create the plot, with axes imported from the d3-axis module. A custom shape legend displays the species mapping using D3's symbol generator. The data is loaded asynchronously from a remote CSV file and parsed using d3.csvParse, with careful number coercion for numeric columns.

Vvenkatdinesh5010@gmail.com
95% match
Loading thumbnail…

Activity 6_tutorial_3.2

This example shows a scatter plot of Iris flower measurements, mapping sepal length to the x-axis and petal length to the y-axis. Each point’s shape encodes the species, with a custom legend positioned at the top right. The visualization uses d3.v7 with `scaleLinear`, `scaleOrdinal`, `symbolsFill`, and `symbol` to render marks, plus `axisLeft` and `axisBottom` for labeled axes. Data is loaded asynchronously from a remote CSV file via `csvParse` and rendered in a full-window SVG.

Cchandrikachowdary867@gmail.com
95% match