Activity 6 tutorial 3.2

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

Activity 6 Tutorial 3.2

This scatter plot uses the classic Iris dataset to show the relationship between sepal length and petal length, with different symbols distinguishing the three iris species. The visualization is built using D3.js v7, leveraging `scaleLinear` for axes, `scaleOrdinal` with `symbolsFill` to map species to distinct shapes, and a custom shape legend. The code imports specific D3 modules like `axisLeft`, `axisBottom`, and `symbol` to render the plot, while the CSV data is fetched from a GitHub repository and parsed with `csvParse`.

RRukmini Devi Y

AAnushaHyderaboeni@my.unt.edu

Activity 6 Tutorial 3.2

This example shows a scatter plot of the classic Iris dataset, mapping sepal length to the x-axis and petal length to the y-axis, with each species differentiated by a distinct symbol shape. The visualization includes a custom legend that maps species names to their corresponding symbols. The code uses D3 v7 modules such as `scaleLinear`, `scaleOrdinal`, and `symbol` to generate the marks, while a modular `axes` function adds labeled axes. Data is loaded asynchronously from a GitHub-hosted CSV file using `csvParse`, and the plot is rendered into a full-window SVG.

Vvenkatdinesh5010@gmail.com

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.

Ssannihitha.k23@gmail.com

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.

Activity 6 tutorial 3.2

This scatter plot visualizes Iris flower measurements, plotting sepal length against petal length, with points colored and shaped according to species. The visualization loads its data from a CSV file fetched from GitHub and renders using D3 v7’s `scaleLinear`, `scaleOrdinal`, `symbolsFill`, and `symbol` APIs. Interactive axes and a shape legend are generated via custom `axisLeft`, `axisBottom`, and legend functions, while the chart updates dynamically as data is parsed and state changes are processed through `csvParse` and `setState`.

BBamanGayathri

HHarsha vardhan reddy Yarmareddy

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.

Ssharanyabobbala@my.unt.edu

Activity 6 Tutorial 3.2

This example shows a scatterplot of the Iris flower dataset, plotting sepal length against petal length while encoding species with different point shapes. The visualization includes labeled axes and a shape legend identifying each species. The code uses D3 v7 modules such as `scaleLinear`, `scaleOrdinal`, `symbolsFill`, and `symbol` to generate the marks, with axes and legend built through reusable functions. Data is loaded asynchronously from a GitHub-hosted CSV and parsed using `csvParse`.