Activity6_Task3

Kkandulasunny17@gmail.com

Activity6_task3

This scatter plot visualizes the Iris dataset, using petal length and width for the x and y axes. It colors each point by species—setosa, versicolor, and virginica—with distinct colors and also maps sepal length and width to the circle’s rx and ry attributes, though the effect is subtle. Built with D3 v6 via UNPKG, the code loads data from a raw GitHub CSV, uses `select`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to render axes and circles in an SVG, with custom styling for the title and tick labels.

Activity6_Task3

This scatter plot visualizes the Iris dataset, mapping petal length and width for individual flowers while coloring points by species (setosa, versicolor, virginica) using an SVG circle per data row. D3 v6 loads CSV data via `d3.csv` from a GitHub raw URL, then applies `scaleLinear` and `extent` to position marks, with `axisLeft` and `axisBottom` generating labeled axes. The code also binds sepal measurements to circle radius attributes via `rx` and `ry`, though visual scaling is not applied.

KKhushi Desai

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

Ssaishruthik2361@gmail.com

Activity6_Task3

This scatter plot visualizes the Iris dataset, mapping petal length and width on the axes while coloring each point by species (setosa, versicolor, or virginica). It uses D3 v6 with scaleLinear for scales, extent for domains, and axisLeft/axisBottom for ticks. The SVG is sized to the full window, and circles are joined via selectAll and data. The plot also misapplies rx/ry attributes to circles, which have no visual effect. Data loads from a GitHub-hosted CSV via d3.csv.

Ggalijawaharnath@gmail.com

Activity6_Task3

This scatter plot visualizes the Iris dataset, mapping petal length and width for each specimen and coloring points by species (setosa, versicolor, or virginica). It loads the data from a remote CSV file and renders an SVG chart using D3 version 6. The example uses D3’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs to construct the axes, while a custom marker function assigns categorical colors. The plot is responsive, filling the browser window and including rotated axis labels.

Vvishnutejareddyambati@my.unt.edu

Activity6 task3

This scatter plot visualizes the Iris dataset, mapping petal length and width for each sample while coloring points by species (setosa, versicolor, and virginica) using D3 v6. The SVG rendering uses `scaleLinear` for both axes, `extent` to set domains, and `axisLeft`/`axisBottom` for tick marks. Data is loaded asynchronously from a GitHub CSV via `d3.csv`, with each circle assigned a radius of 5 and a species-specific fill color from a simple switch statement.

Activity6_Task3

This scatter plot visualizes the Iris dataset, encoding petal length on the x-axis, petal width on the y-axis, and species via point color (skyblue, lightgreen, and blue). It uses D3 v6 with `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data, map scales, and render SVG circles and axes. The code parses numeric measurements from the CSV and applies a custom color function per species, with axis labels styled in green.

DDee

Ssaibharath7thota@gmail.com

Activity6_task3

This scatter plot visualizes the Iris dataset, showing petal length against petal width, with each circle colored by species (setosa, versicolor, or virginica). The SVG visualization uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom`, loading data from a GitHub-hosted CSV file. Scales map the data domain to pixel ranges, while circles are joined via `selectAll` and `join`. Axis labels and colored points are rendered in a full-window responsive layout.