Activity6_Task3

Aamarnadhkari98@gmail.com

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 while coloring each point by species. Using D3 v6, it loads CSV data via `d3.csv`, applies `scaleLinear` for both axes, and renders circles with `d3.selectAll` and `.join`. Axis labels are added via `axisLeft` and `axisBottom`, with rotated text for the vertical label. Despite naming variables for sepal length and width, only petal dimensions are plotted, while species hues are hardcoded for setosa, versicolor, and virginica.

Kkrishnavisheshkatta@my.unt.edu

Activity6_Task3

This visualization shows a scatter plot of the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis, with each species (setosa, versicolor, virginica) colored using custom markers—skyblue, lightgreen, and orange respectively. The plot also encodes sepal dimensions by setting each circle’s rx and ry attributes to the sepal length and width values, creating elliptical shapes. The code uses d3.csv to load data, d3.scaleLinear with extent for scales, and d3.axisLeft and d3.axisBottom for labeled axes. SVG circles are joined to the data, with axis labels added as text elements.

Activity6_task3

This visualization displays a scatter plot of the Iris dataset, plotting petal length against petal width, with points colored by species (setosa, versicolor, or virginica). The chart uses D3 v6’s `scaleLinear`, `axisLeft`, and `axisBottom` to render axes, while SVG circles are sized by sepal length and width via the `rx` and `ry` attributes, creating an ellipse-like marker. Data is loaded asynchronously from a remote CSV using `d3.csv`, and the plot fills the browser window with margins configured for axis labels.

Ppaulphillips@my.unt.edu

Ssuchigeneralpur@gmail.com

Activity6_Task3

This visualization displays the Iris dataset as a scatter plot, using 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 code loads CSV data via `d3.csv`, maps values using `scaleLinear`, and renders the plot as an SVG with circles and axes. It also incorporates sepal length and width as custom `rx` and `ry` attributes on the circles. The chart uses D3 v6 with `axisLeft`, `axisBottom`, and `selectAll().data().join()` for data binding, sized to the full window.

Vvemurisuchitha@gmail.com

Activity6_Task3_1

This scatter plot visualizes the Iris dataset, mapping petal length against petal width for individual flowers. Each point is colored by species—setosa, versicolor, and virginica—using skyblue, lightgreen, and orange. The visualization is built with D3 v6, loading data via CSV and rendering SVG circles. It uses `scaleLinear` for axes, `axisLeft` and `axisBottom` for ticks, and custom radius scaling based on sepal dimensions, though it does not apply multi-dimensional scaling.

Activity6_Task3

This scatter plot visualizes the Iris dataset, displaying petal length on the x-axis and petal width on the y-axis. Each circle represents a flower, colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica) using a custom mapping function. Built with D3 v6, the example loads data via `d3.csv` from a GitHub URL, scales axes with `scaleLinear` and `extent`, and renders SVG circles with `select` and `.join`. Axis labels and ticks are added with `axisLeft` and `axisBottom`.

Ssatvikreddy79@gmail.com

Activity 6_Task 3

This visualization displays the classic Iris dataset as a scatter plot, mapping petal length and sepal length along the x and y axes while encoding species type through point color (sky blue for setosa, light green for versicolor, and orange for virginica). Built with D3 v6, the example uses `csv` to load the data, `scaleLinear` and `extent` for axes, `axisLeft` and `axisBottom` for tick marks, and SVG circles to render the points. Circles also encode sepal length and width as additional attributes, though these do not alter visual appearance.

HHarshita Vairagade

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.