Task 3

Task3

This scatter plot visualizes the Iris dataset, showing petal length and petal width for three flower species, each represented by a distinct color (setosa in sky blue, versicolor in light green, and virginica in orange). The visualization loads CSV data from a GitHub repository, parses it with d3.csv, and renders SVG circles using d3.scaleLinear for both axes. The code explicitly maps the data values to x and y positions, though the circle elements also carry sepal measurements as extra properties, and uses d3.axisBottom and d3.axisLeft to display the labeled scales.

Nnitishsurneni@gmail.com

Kkotipallipavan54@gmail.com

Task-3

This scatter plot visualizes the Iris dataset, mapping petal length and width as the primary axes while encoding sepal dimensions through elliptical marker shapes. Points are colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica) using D3's scaleLinear for axis scaling and extent for domain calculation. The visualization loads data from a GitHub-hosted CSV, employs D3 v6's select and join operations to bind data to SVG circles, and uses axisLeft/axisBottom for labeled axes.

MMahimaChowdaryKasthala@my.unt.edu

task 3

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis. Each point represents a flower, colored by species through a categorical scale that distinguishes Iris-setosa, Iris-versicolor, and Iris-virginica. The visualization loads data from a CSV file using `d3.csv` and renders the plot as an SVG, employing `d3.scaleLinear` for axes and the `d3.axisBottom` and `d3.axisLeft` APIs to generate tick marks and axis labels.

Yyashwanthkirla95@gmail.com

task3.1

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis, with circles colored by species (setosa, versicolor, and virginica). The visualization also encodes sepal length and width as circle attributes, though these are set as `rx` and `ry`, which do not affect standard SVG circle rendering. The code loads data from a GitHub-hosted CSV using `d3.csv`, applies `d3.scaleLinear` for axes, and renders the plot with SVG circles, `d3.axisLeft`, and `d3.axisBottom`. Axis labels are added as text elements in green.

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.

Task8_task3

This scatter plot visualizes the Iris dataset, showing petal length on the x-axis and petal width on the y-axis, with each point colored by species (setosa, versicolor, or virginica). The code also stores sepal length and width values per point, though these are not currently mapped to visual encodings. Built with D3 v6, it loads the CSV data from a GitHub gist, uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to construct the axes, and renders colored circles as SVG markers. The chart fills the browser window, with labeled axes for petal length and sepal length.

Mmulyasuji999@gmail.com

Task8_Task3

This scatter plot visualizes the Iris dataset, showing petal length against petal width for three species, each represented by a distinct color (skyblue for setosa, lightgreen for versicolor, orange for virginica). Built with D3 v6, the visualization uses `d3.select`, `d3.csv`, `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` to load data from a remote CSV, map the quantitative fields, and render SVG circles with fixed radius. The chart includes rotated and bottom axis labels, with styling applied through CSS. The code reads petal and sepal measurements directly from the parsed rows, though only the petal dimensions are plotted.

Jjyothirmai318@gmail.com

Jjangalaupender@my.unt.edu

task 3.1

This scatter plot visualizes the Iris dataset, mapping petal length and width on the x and y axes, with points colored by species (setosa, versicolor, virginica). The code uses D3 v6’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to build the chart, loading data via `csv` from a GitHub URL. Circles are drawn with a fixed radius, while labels for axes are added manually. The visualization is rendered as SVG, with an interactive full-window layout.