Activity6_Task3

Activity8_Task-3.2

This scatter plot displays iris flower measurements, plotting sepal length on the x-axis against petal length on the y-axis, with different species differentiated by shape markers and a legend. The visualization loads CSV data from a GitHub repository, parses it with `d3.csvParse`, and renders the chart using D3 v7’s `scaleLinear` and `scaleOrdinal` for scales, `symbolsFill` for shape encoding, and custom components for axes and shape legend. The plot utilizes `d3.select` and the join pattern to manage SVG elements dynamically, with the legend positioned at a fixed offset.

HHarika Metta

Activity6_Task3.1

This scatter plot visualizes the Iris dataset, showing sepal length versus petal length for three flower species. The visualization uses d3.v7 with scaleLinear for axes, scaleOrdinal with symbolsFill to encode species as different point shapes, and a custom legend. Data loads asynchronously from a GitHub-hosted CSV file, parsed with csvParse, with axes and shape legends created via reusable D3 modules. The plot updates automatically when the data arrives.

SSowjanya Devupalli

Aayeshamanzoor111798@gmail.com

Activity6_Task3-2

This scatter plot visualizes Iris flower measurements, mapping sepal length to the x-axis and petal length to the y-axis. Each flower is rendered as a D3 symbol, with species distinguished by distinct shapes (circles, crosses, and diamonds) via d3.scaleOrdinal and d3.symbolsFill. The visualization includes labeled axes and a custom shape legend, with data fetched from a remote CSV file and parsed using d3.csvParse. The code uses d3.scaleLinear for positioning and d3.axisLeft/axisBottom for tick rendering.

Activity6_Task3.2

This scatter plot visualizes the Iris dataset, showing sepal length against petal length, with each of the three species represented by a distinct symbol. The visualization uses D3 version 7 to render SVG elements, employing `scaleLinear` for axes and `scaleOrdinal` with `symbolsFill` to map species to different point shapes. Data is loaded asynchronously through a CSV file fetch, then parsed with `csvParse` before being displayed with custom axis and shape legend components.

GGunna,Praneeth Reddy

Aamarnadhkari98@gmail.com

Activity6_Task3

This scatter plot displays the Iris dataset, using petal length and petal width to position each flower, with colors distinguishing the three species (setosa, versicolor, and virginica). Additional sepal measurements are encoded as circle radii, though the visual range of this encoding is limited. The visualization is built with D3 v6, loading CSV data from a remote URL, and rendering SVG circles scaled via `scaleLinear` with axes generated by `axisLeft` and `axisBottom`. The code explicitly assigns circle attributes for position, fill color, and radius, and labels the axes for petal and sepal dimensions.

Activity6_Task3.2

A scatter plot visualizes iris flower measurements, encoding sepal length on the x-axis, petal length on the y-axis, and species as categorical shapes. The code loads the iris dataset from a remote CSV, parses it with `d3.csvParse`, and renders the chart using D3 v7. Axes, shape legends, and SVG marks are generated with `d3.axisLeft`, `d3.axisBottom`, `d3.scaleLinear`, and `d3.symbol`.

SSahithi.R

Ssreejabommineni1506@gmail.com

Activity6_Task3

This scatter plot shows the Iris dataset, mapping sepal length on the x-axis against petal length on the y-axis, with each of the 150 flowers colored by species (setosa, versicolor, virginica) using a d3.scaleOrdinal. The visualization uses d3.csv to load remote CSV data, then applies d3.scaleLinear for both axes and renders circles via SVG, with d3.axisBottom and d3.axisLeft generating the labeled axes. A manual legend is appended to the right side, and an alert appears if the data fails to load.

Activity6_Task3

This scatter plot visualizes the Iris dataset, mapping sepal length and width on the axes while coloring each point by species. The visualization uses D3 v6 APIs including `d3.csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom`. Each flower is rendered as an SVG circle with a fixed radius, positioned according to petal length and width, while sepal dimensions and species determine the circle’s fill color. Data is loaded from a remote CSV file on GitHub, and the SVG canvas fills the browser window.

Hharsha13638@gmail.com