ICE-6_ Milind Cherukuri

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 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 Scatter Plot

This example shows a scatter plot of the Iris dataset, mapping petal length and width on the axes while coloring points by species (setosa, virginica, and versicolor) using blue, red, and black. The code loads CSV data via d3.csv, parses numeric fields, and scales values with d3.scaleLinear and extents. Rendered as SVG circles with a fixed radius, it also includes custom axis labels and tick styling. The visualization uses D3 v6 within a React-free HTML setup, with axes generated via d3.axisLeft and d3.axisBottom, and it leverages window dimensions for a responsive full-screen layout.

MMalempatiSaranya

ICE-6 Scatter Plot

This scatter plot visualizes the Iris dataset, plotting petal length against petal width, with each data point colored by species (blue for setosa, black for versicolor, red for virginica). The SVG visualization uses D3 v6 scales (scaleLinear), axes (axisLeft, axisBottom), and data joins to render circles, while React serves as the framework. The code loads data from a CSV URL and parses numeric fields, with additional attributes stored but not affecting the visual encoding.

Kkottenikhil

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 Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis, with each point colored by species (setosa, versicolor, or virginica). The visualization uses D3 v6’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to construct axes, while circles are bound to the data via `selectAll` and `join`. Data is loaded asynchronously from a CSV URL using D3’s `csv` function, with numeric parsing applied to all measurements. The chart fills the browser window, displaying axis labels for petal length and sepal length.

Ggayathrikavya

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 Scatter Plot using Iris datset

This visualization displays the Iris dataset in a scatter plot, showing the relationship between petal length (x-axis) and petal width (y-axis) for three flower species, which are color-coded red, green, and blue. The D3 v6 code loads CSV data from a GitHub gist, uses `scaleLinear` and `extent` to map the numeric ranges, and renders SVG circles with `selectAll` and `join`. Axis labels are added via `axisLeft` and `axisBottom`, with custom text elements for axis titles.

SShishiraRudrabhatla