Activity6_Task3.2

Ss.harshinisai01@gmail.com

Activity6_Task3.2

This example visualizes the Iris dataset as a scatter plot, mapping sepal length on the x-axis and petal length on the y-axis. Data points are drawn as different shapes corresponding to the three iris species, with a custom shape legend explaining the mapping. The code uses d3.csvParse to load the data and d3.scaleLinear, d3.scaleOrdinal, and d3.symbol to encode values and shapes. Axes are generated with d3.axisLeft and d3.axisBottom, while the visualization updates dynamically as data loads via a simple state-based rendering pattern.

Nnsairitwikreddy@gmail.com

Activity6_Task3.2

This example visualizes the Iris dataset as a scatter plot of sepal length against petal length, with the three species distinguished by different symbol shapes. A shape legend identifies each species, and the plot includes styled axes with labels. The visualization is built using D3 v7, employing `scaleLinear` for the x and y scales, `scaleOrdinal` with `symbolsFill` for the shapes, and the `csvParse` method to load data from a GitHub-hosted CSV file. The `axes` and `shapeLegend` modules handle the axis and legend rendering.

Mm.maanvireddt761@gmail.com

Activity6_Task3

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 species of each flower indicated by a distinct symbol (circle, square, or triangle). A legend on the right identifies the species-to-shape mapping. The visualization is built using D3 v7, leveraging `scaleLinear` for the axes, `scaleOrdinal` with `symbolsFill` for the shapes, and D3's `symbol` generator to draw the marks. The data is loaded asynchronously from a GitHub-hosted CSV file, and the chart is rendered into an SVG canvas.

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

Gguttavenkata745@gmail.com

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.

Activity6_task3.2

This example shows a scatter plot of Iris flower measurements, mapping sepal length on the x-axis and petal length on the y-axis, with different symbol shapes representing species. The visualization also includes a custom shape legend identifying each species. The code uses d3.csvParse and d3.fetch to load a CSV dataset, then d3.scaleLinear for axes and d3.scaleOrdinal with d3.symbolsFill to assign distinct geometric markers. Axes are rendered via the d3.axisLeft and d3.axisBottom APIs, while a custom legend module draws symbols and text ticks.

Mmaneeshraja47@gmail.com

RRishithaGarnepudi@my.unt.edu

Activity6_Task3_3.2

This example visualizes the Iris dataset, mapping sepal length and petal length on the x- and y-axes while distinguishing species by shape. Each data point is a d3 symbol, rendered using `symbolGenerator`, with a shape legend showing the species categories. The code builds the visualization with D3 v7, using `scaleLinear`, `scaleOrdinal`, `axisLeft`, and `axisBottom` from the `d3` module. Data is loaded as CSV from GitHub and parsed with `csvParse`. The scatter plot is drawn in an SVG canvas sized to the window, with axes and labels configured programmatically.

Activity6_Task3.1

This example visualizes the Iris dataset as a scatter plot, mapping sepal length and petal length along the x- and y-axes while encoding species using distinct symbol shapes. The plot includes a custom shape legend and axis labels, with the data loaded from a remote CSV file. The visualization is built with D3 v7, using `scaleLinear`, `scaleOrdinal`, and `symbol` from the `d3` module to position points and generate shapes. Axes and legend are created through reusable local ES6 modules, `axes.js` and `shapeLegend.js`, which import functions like `axisLeft` and `axisBottom` from D3.

Hhaneesh@gctc.in