Activity3_Task3.1

Llingaladineshteja23@gmail.com

Activity6_Task3

This scatter plot visualizes the classic Iris dataset, mapping petal length and width for each sample point. The visualization encodes the three Iris species—setosa, versicolor, and virginica—using distinct colors (skyblue, lightgreen, and orange), with each circle’s radius fixed at 5 pixels. Built with D3 v6, it loads the dataset via `d3.csv`, scales both axes with `d3.scaleLinear`, and renders axes using `d3.axisLeft` and `d3.axisBottom`. The SVG output displays labeled axes for petal length and width, with data points positioned using the `selectAll` and `join` pattern.

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

Jjahnavigummadi@my.unt.edu

Activity6_task3

This visualization displays a scatter plot of the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis. Data points are colored by species (setosa, versicolor, and virginica) using a predefined color scale. The example uses D3 v6 via UNPKG, loading CSV data asynchronously with `d3.csv`, and rendering circles with an SVG-based approach. Axes are generated through `d3.axisLeft` and `d3.axisBottom`, with linear scales (`d3.scaleLinear`) for positioning and `d3.extent` for domain calculation, resulting in a clean, labeled chart.

KKondreddy Saikiran reddy

Activity6_Task3.2

This visualization renders the classic Iris dataset as a scatter plot, using D3 v6 to map petal length and petal width on the x- and y-axes. Each circle’s fill color encodes the iris species (setosa, versicolor, or virginica) via a switch statement, while the circle’s rx and ry attributes are set but not visually distinct since the radius is fixed. The code loads CSV data from a GitHub gist, applies linear scales with `d3.scaleLinear` and `d3.extent`, and draws axes with `d3.axisLeft` and `d3.axisBottom`, all rendered as SVG elements in the browser window.

Nnikhithaaitha22@gmail.com

activity6_task3

This interactive scatter plot visualizes the Iris dataset, mapping petal length and width on the axes while coloring each point by species (setosa, versicolor, or virginica) using D3's `csv` loader and `scaleLinear` scales. The SVG rendering uses `axisLeft` and `axisBottom` for labeled axes, with tick text styled at 20 pixels. Circle marks are colored skyblue, lightgreen, or orange, and the chart includes green axis labels for sepal length and petal length. The visualization reads data from an external CSV file hosted on GitHub.

Cchandrikachowdary867@gmail.com

Activity6_Task3

This scatter plot visualizes the Iris dataset, showing petal length on the x-axis and petal width on the y-axis. Each point is colored by species—skyblue for setosa, lightgreen for versicolor, and orange for virginica—revealing distinct clusters. Using D3 v6, the code loads CSV data, applies linear scales via `scaleLinear`, and renders SVG circles with `selectAll` and `join`. The chart includes left and bottom axes from `axisLeft` and `axisBottom`, with rotated axis labels for petal dimensions.

Ggouthamigongidi2457@gmail.com

Activity6_Task3

This scatter plot visualizes the Iris dataset, displaying petal length against petal width for individual flowers. The visualization, built with D3 v6 and rendered as an SVG, uses colored circles to distinguish between the three Iris species: setosa, versicolor, and virginica. The code loads data from a CSV file and applies the `d3.scaleLinear` API for both the x and y axes, with `d3.axisLeft` and `d3.axisBottom` for the chart’s labeled axes.

Activity6_Task3

This visualization displays a scatter plot of the Iris dataset, mapping 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, and orange for virginica). The code loads CSV data using `d3.csv`, scales the axes with `scaleLinear` and `extent`, and renders circles as SVG elements via `selectAll` and `join`. It includes custom axis labels using `axisLeft` and `axisBottom`, plus a legend built with appended SVG `rect` and `text` elements. The plot uses D3 v6.

AAftab Hussain