ICE-6 Iris Scatter Plot

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 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 Scatter Plot for iris dataset

This scatter plot visualizes the iris dataset, mapping petal length and width as x/y coordinates while encoding species with color (pink, orange, red). Separately, sepal length and width are applied as non-visual attributes to each circle. The D3.js v6 code loads CSV data via `d3.csv`, scales axes with `scaleLinear`, and renders axes via `axisLeft` and `axisBottom`. The SVG output uses dynamic circle joins to display points across the browser canvas.

HHarshinireddyy19

ICE-6: IRIS

This scatterplot visualizes the Iris dataset, plotting petal length against sepal length for individual flowers. Using D3 v6, the code loads CSV data, applies linear scales via `scaleLinear`, and renders circles in an SVG. Axes are generated with `axisLeft` and `axisBottom`, while data parsing converts string values to numbers. The chart fills the browser window, with axis labels added as SVG text elements for clarity.

Ttrucntx007

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: Creating a Scatter Plot with D3.js

This example visualizes the Iris dataset as a scatter plot, mapping petal length and petal width to x and y positions, with circles colored by species (setosa, versicolor, and virginica). The D3.js code loads CSV data with `d3.csv`, parses numeric fields, and uses `scaleLinear` and `extent` to set scales. Axes are rendered with `axisLeft` and `axisBottom`, while `selectAll` and `join` bind data to SVG circles. The visualization fills the viewport and uses a fixed radius for all points.

CChaitanya Galla

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