Activity 7 Scatter Plot

Activity 7 Scatter Plot

This scatter plot visualizes the Iris dataset, encoding petal length on the x-axis and petal width on the y-axis, with points colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica). The D3 v6 code uses scaleLinear, extent, axisLeft, axisBottom, and csv to load and render SVG circles. The visualization loads data from a remote CSV file and applies a custom species-to-color mapping, with axis labels for petal length and sepal length.

Mmn0658

Activity 7 Scatter Plot

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width. Data points are colored by species, with grey for setosa, skyblue for versicolor, and red for virginica. The visualization uses D3 v6, loading data from a remote CSV file via the `csv` function and rendering circles as SVG marks. It employs `scaleLinear` for axes, `axisLeft` and `axisBottom` for ticks, and custom styling for text elements.

AArun Pratap

Activity 7 Scatter Plot

This scatter plot visualizes the Iris dataset, comparing petal length on the x-axis against petal width on the y-axis. Each circle is colored by species—setosa in skyblue, versicolor in lightgreen, and virginica in orange—with the selected sepal measurements also encoded as circle radii. The visualization uses D3 v6 with SVG rendering, loading remote CSV data via `d3.csv`, scaling axes with `d3.scaleLinear`, and drawing circles via `d3.selectAll` and `.join`. Axis labels are added using SVG text elements.

Lleftymadi

Activity 7 Scatter Plot

This scatter plot visualizes the Iris dataset, showing petal length and petal width on the x- and y-axes, with points colored by species (setosa, versicolor, and virginica). The visualization uses D3 v6 to load CSV data from a GitHub gist, scales the axes with `scaleLinear`, and renders circular marks via SVG. It also maps sepal length and width to each circle’s horizontal and vertical radius, creating an additional layer of variation. Axis labels and tick text are styled through D3’s `axisBottom` and `axisLeft` APIs.

Mmandadi1999

Activity 7 Scatter Plot

This scatter plot visualizes the Iris dataset, showing petal length versus petal width with points colored by species (setosa, versicolor, virginica) in skyblue, lightgreen, and orange. It also encodes sepal length and width as the rx and ry properties of each circle, though these do not affect the visible shape since the radius remains fixed. Built with D3 v6, the code loads CSV data via `d3.csv`, scales the axes with `scaleLinear`, draws circles using SVG, and adds labeled axes with `axisLeft` and `axisBottom`.

Iindushashi.g@gmail.com

Activity 7 Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length and width for three species of iris flowers, with points colored by species: skyblue for setosa, lightgreen for versicolor, and orange for virginica. The code loads CSV data via d3.csv, uses d3.scaleLinear with d3.extent to establish scales, and renders the plot as an SVG. Axes are drawn with d3.axisLeft and d3.axisBottom, while circle elements are bound to the data and positioned using scaled values, with labeled axes for petal and sepal measurements.

LLakshmanRangisetti

Activity 7 Scatter Plot

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width. Each point represents an iris flower, colored by species: skyblue for setosa, lightgreen for versicolor, and orange for virginica. The visualization uses D3 v6 to load the CSV data and render circles as SVG marks scaled to the data’s extent. Axis labels identify the variables, and the chart includes references to sepal dimensions as point properties, though only petal dimensions drive the plotted positions.

Rrushithareddyy

Activity 7 Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length and width along the x- and y-axes. Each flower species—setosa, versicolor, and virginica—is distinguished by a unique color (skyblue, lightgreen, and orange, respectively). The visualization is rendered as an SVG using D3 version 6, with data loaded from a CSV URL. It employs D3's `scaleLinear` for axis scaling and `axisLeft` and `axisBottom` for chart axes, alongside custom styling for tick labels and a red italic title.

Ssrikkanth05