ICE-6

ICE-6

This visualization displays the classic Iris dataset as a scatter plot, mapping petal length and width on the x- and y-axes while encoding sepal dimensions through elliptical markers whose rx and ry attributes correspond to sepal length and width. Species are represented by distinct colors: purple for setosa, brown for versicolor, and pink for virginica. The code uses D3 v6’s `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and `csv` loader within a React-free SVG rendering approach. Axes labels indicate measurements, and the plot fills the browser window with a 24-pixel tick font.

SSaahithi49

ICE-6

This scatter plot visualizes the Iris dataset, showing petal length on the x-axis against petal width on the y-axis, with each of the three species (setosa, versicolor, and virginica) colored green, brown, and blue respectively. It also encodes sepal length and width as the rx and ry attributes of each circle, though these do not affect the default circular shape due to a fixed radius. The code uses D3 v6 methods including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data, map scales, and render axes in an SVG. Data is fetched from a remote GitHub gist URL.

Aadapavaishnavi12

ICE-6 Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length and width while coloring points by species (setosa, versicolor, virginica). The code loads CSV data via `d3.csv`, scales positions with `d3.scaleLinear`, and renders circles as SVG elements using `d3.selectAll` and `join`. Axes are created with `d3.axisLeft` and `d3.axisBottom`, with custom red axis labels. The visualization uses a React framework shell but relies on vanilla D3 v6 for rendering directly into the DOM.

MMgk1255

ICE 6

This scatter plot visualizes the Iris dataset, mapping petal length and petal width on the x- and y-axes, with each point colored by species. It uses D3 v6 to load CSV data, apply linear scales, and render SVG circles with axes and labels. The code demonstrates `csv`, `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and the `join` method for binding data to SVG elements. The chart includes custom tick styling and a simplified color scheme for the three iris species.

AAmar09nath

ICE 6

This visualization displays the Iris dataset as a scatter plot of Petal Length against Sepal Length, with circles colored by species to emphasize clustering. The D3 v5 code uses `d3.select`, `d3.scaleLinear`, `d3.scaleOrdinal` with `d3.schemeCategory10`, and `d3.axisBottom`/`d3.axisLeft` for axes, plus `d3.legendColor` from the d3-legend library. Data is loaded via `d3.csv` from a GitHub gist, and rendered as SVG circles with a categorical color legend.

Sshabbab01

ICE-6

This interactive scatter plot displays the Iris dataset, mapping petal length and width for each flower species. The visualization uses D3 v6 to load CSV data from a GitHub gist, with axes labeled to show sepal length and width. Each data point is rendered as a circle with a radius of five pixels, positioned using `scaleLinear` functions. The code applies D3's `selectAll` and `join` pattern to create and update SVG circle elements, while `axisLeft` and `axisBottom` generate the coordinate axes.

Ssaiteja0725

ICE- 6 Iris Dataset Scatter Plot

This example visualizes the Iris Dataset as a scatter plot, mapping petal length and width on the x- and y-axes while coloring each point according to its species (setosa, versicolor, or virginica). Using D3 v6, the code loads the CSV data with `d3.csv`, scales the axes with `d3.scaleLinear`, and renders circles as SVG elements. It labels the axes as “Petal-length” and “sepal-length” (the latter rotated via an SVG transform). The plot fills the browser window, with axis ticks generated by `d3.axisLeft` and `d3.axisBottom`.

Ssaidhiraj16

ICE-6

The visualization displays the Iris plant dataset, plotting petal length on the x-axis against petal width on the y-axis, with each point colored by species (blue for setosa, yellow for versicolor, red for virginica). It uses d3.csv to load the data, d3.scaleLinear for axis scaling, and d3.axisLeft/axisBottom to render axes. Circle marks are drawn via SVG, with radii fixed at 5 pixels, while the code also assigns unused `rx` and `ry` attributes from sepal measurements. The chart is rendered using D3 v6.7.0 with an SVG output.

VVAbhiram99