Activity6_Task3

Activity6_Task3

This visualization displays the Iris dataset as a scatter plot, mapping petal length on the x-axis and petal width on the y-axis. Each flower species is distinguished by color: setosa appears skyblue, versicolor lightgreen, and virginica orange. The circles also encode sepal length and width through elliptical scaling via the rx and ry attributes. Built with D3 v6, it uses `d3.csv` to load data, `scaleLinear` for axes, and `axisLeft`/`axisBottom` for rendering, with SVG circles and custom axis labels.

GGOPI MUPPURI

Llokasaivenkatatammineedi@my.unt.edu

Activity6_Task3.1

This scatter plot visualizes the Iris dataset, encoding petal length on the x-axis and petal width on the y-axis, with each point colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica). The visualization uses d3.csv to load the data, d3.scaleLinear for both axes, and d3.axisLeft and d3.axisBottom to render the ticks. The SVG circles also carry sepal length and width values in their rx and ry attributes, though these do not affect the visual representation. The chart fills the full browser window with custom margins and labeled axes.

Nnikhilthoutu24@gmail.com

Activity6_Task3.1

This scatter plot visualizes the Iris dataset, mapping petal length and petal width on the x- and y-axes while coloring each point by species (setosa, versicolor, virginica) using skyblue, lightgreen, and orange. It also encodes sepal length and width as additional properties per circle. Built with D3 v6, the code uses `csv`, `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and SVG circle elements. Data is loaded from a remote GitHub CSV, with axes and labels rendered into a full-window SVG.

Activity6_Task3

This scatter plot visualizes the Iris dataset, showing petal length on the x-axis, petal width on the y-axis, and sepal dimensions encoded through circle attributes. Each point is colored by species—skyblue for setosa, lightgreen for versicolor, and orange for virginica. The visualization loads data from a GitHub gist using D3 v6’s `csv` method, with scales from `scaleLinear`, axes from `axisLeft` and `axisBottom`, and marks rendered as SVG circles.

Vvikramkotlo9@gmail.com

Ssaisnehapalle@my.unt.edu

Activity6_Task 3.1

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width, with each point colored by species (setosa, versicolor, or virginica) using a custom marker function. The visualization, rendered as an SVG using D3 v6, loads data from a remote CSV file via `d3.csv`, scales axes with `scaleLinear` and `extent`, and draws circles with attributes mapped from sepal measurements. Axis labels are added via `axisLeft` and `axisBottom`, and text elements are rotated to label the y-axis.

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.

Activity6_Task3

This scatter plot visualization displays the Iris dataset, showing the relationship between petal length on the x-axis and petal width on the y-axis, with each point colored by species (setosa, versicolor, and virginica). The chart uses d3.csv to load the data, d3.scaleLinear for axes, d3.extent to set domains, and d3.axisLeft/axisBottom for rendering ticks. The SVG circles are positioned using the scaling functions, while the code also parses sepal measurements though they are not plotted. Axis labels appear rotated and positioned manually, with the visualization rendered entirely as SVG in a full-window viewport.

PPothuguntla Pranitha

Activity6_Task3.1

This scatter plot visualizes the Iris dataset, showing petal length on the x-axis and petal width on the y-axis, with points colored by species (setosa, versicolor, virginica). The visualization uses d3.csv to load the data, d3.scaleLinear to map values to coordinates, and d3.axisLeft/d3.axisBottom for axes. The SVG circles are positioned using the scaled dimensions, while the code also reads sepal measurements but does not use them in the final rendering. The plot is displayed with custom font styling and colored axis labels.

Nnikhithadadi@my.unt.edu