activity6_task3

Nnandasaipalankius@gmail.com

Activity6_task3.1

This example visualizes the Iris dataset as a scatter plot, using petal length on the x-axis and petal width on the y-axis. It encodes species membership through circle colors (skyblue, lightgreen, orange) while also binding sepal length and width as additional attributes (`rx`, `ry`) on each circle. The visualization loads CSV data from a GitHub gist, parses numeric fields, and uses D3 v6 APIs including `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and `selectAll().data().join()` to render SVG circles. Axis labels are added via `svg.append('text')`, with the plot sized to the browser window dimensions.

KKondreddy Saikiran reddy

Activity6_Task3.1

This example shows a scatter plot of the Iris dataset, mapping petal length to the x-axis and petal width to the y-axis. It colors each point by species—setosa in skyblue, versicolor in lightgreen, and virginica in orange—while also encoding sepal length and width as additional shape properties on each circle. The visualization loads data from a CSV via a GitHub gist, uses D3 v6 modules such as `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` for scales and axes, and renders circles in an SVG. Axis labels are added for petal and sepal length.

HHarinathChakali33@gmail.com

activity_6_task3

This example presents a scatter plot of the Iris dataset, visualizing the relationship between petal length on the x-axis and petal width on the y-axis, with circles colored by species (setosa, versicolor, and virginica) using skyblue, lightgreen, and orange. The chart also encodes sepal length and width as circle radii properties on the SVG elements. It loads CSV data from a GitHub repository, parses numeric fields, and uses D3 v6 APIs including `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and `select` to render axes and circles in an SVG canvas sized to the browser window.

Ssudheervnarasimha1@gmail.com

activity6task3

This example visualizes the Iris dataset with a scatter plot mapping petal length and width on the axes, coloring each point by species (setosa, versicolor, virginica) using skyblue, lightgreen, and orange. It loads data from a remote CSV via D3 v6’s `csv` function, parses numeric fields, and renders SVG circles with `scaleLinear` scales for x and y positions. Axes are drawn using `axisLeft` and `axisBottom`, with rotated and positioned text labels for petal length and sepal length, all within a full-window SVG canvas.

Activity6-Task3.1

This example displays a scatter plot of the Iris dataset, mapping petal length and width as the primary x and y coordinates while encoding species with distinct colors (skyblue, lightgreen, orange). It also overrides circle radii with sepal length and width values via `rx` and `ry`, creating elliptical points. The visualization uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and SVG circle joins. Data is loaded from a remote CSV URL, and the chart is rendered to an SVG canvas with custom axis labels.

SSahithi.R

Sshivasaiamaravadi@gmail.com

activity6_task3

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis, with points colored by species (setosa, versicolor, and virginica). The visualization encodes sepal length and width as the rx and ry attributes of each circle, creating elliptical markers whose dimensions vary with the data. Built with D3 v6, the code uses `d3.csv` to load data from a GitHub URL, `scaleLinear` and `extent` for scaling, and `axisLeft`/`axisBottom` for axes. Data is parsed from CSV columns into numeric values before rendering as SVG circles.

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.

Bbrahmateja.edu2023@gmail.com

activity6 task3.1

This example shows a scatter plot of the classic Iris dataset, displaying the relationship between petal length and petal width for three species. Each flower is a fixed-radius circle whose color encodes the species (setosa, versicolor, or virginica) through a manual marker function, while the circle’s `rx` and `ry` attributes carry the sepal measurements. The visualization loads data from a remote CSV via `d3.csv`, uses `d3.scaleLinear` with `d3.extent` to compute axes, and renders axes with `d3.axisLeft` and `d3.axisBottom`. Rendering uses SVG appended to the body, with D3's `.join` pattern for circles and styled tick text.