ICE_6_BM

ICE6 Scattered plot

This scatter plot visualizes the iris dataset, showing petal length on the x-axis and sepal length on the y-axis, with data points colored by species (black for setosa, red for versicolor, darkgreen for virginica). The visualization uses D3 v6 with React, rendering as SVG via d3.select and d3.scaleLinear for mapping the data. Axes are generated with d3.axisLeft and d3.axisBottom, while the CSV data is loaded asynchronously using d3.csv with custom parsing to convert numeric fields.

Hharika-1929

ICE6 Iris Dataset Scatter Plot

This visualization displays the Iris dataset as a scatter plot, mapping petal length on the x-axis and petal width on the y-axis. Each point is colored by species—blue for setosa, red for versicolor, and black for virginica. The code uses d3.csv to load the data, d3.scaleLinear and d3.extent to set scales, and d3.axisLeft and d3.axisBottom to render axes. Although sepal length and width are parsed, they are not used for positioning; circles are drawn via SVG with a fixed radius.

BBVNPK001

ScatterPlot_ICE6

This scatter plot visualizes the Iris dataset, mapping petal length and width for individual flowers while coloring each point by species (setosa, versicolor, or virginica). The axes are labeled with sepal length and petal length, though the data encoding uses petal dimensions for positioning and sepal dimensions as circle radii. Built with React and d3.v6, the example loads CSV data via `d3.csv`, applies `scaleLinear` and `extent` for scales, and renders SVG circles with attributes driven by the parsed numeric fields. Axis generation uses `axisLeft` and `axisBottom`.

Bbindusreeja

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 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 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, 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, 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