ICE 6 Scatter Plot

ICE - 6 Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length and width on the axes while coloring each point by species (setosa, virginica, or versicolor). Built with D3 v6, it uses `scaleLinear`, `extent`, and `axisBottom`/`axisLeft` to generate the axes and `select` to append SVG circles with a fixed radius. The code also parses numeric fields from CSV data and applies a custom color marker for species.

SSaiSree0122

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, virginica, or versicolor) via a brightness-based marker function. After loading the CSV data with `d3.csv`, the example uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` from D3 v6 to establish scales and axes, while `select` and `join` render circles for each observation. The SVG rendering fills the browser window, with sepal length and width values stored as point metadata but not plotted.

SSaiSree0122

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 Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length and petal width on the axes while coloring points by species. The chart uses D3 v6 with SVG rendering, loading CSV data via `d3.csv` and parsing numeric values. Scales are created with `d3.scaleLinear` and axes with `d3.axisLeft` and `d3.axisBottom`. Circles are drawn with `d3.selectAll` and a data join, with fill colors assigned per species via a switch function. Axis labels are added as SVG text elements.

Llikith1266

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 Graph

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width, with points colored by species (versicolor in green, setosa in orange, and virginica in red). The chart uses D3 v6 to load CSV data, apply linear scales for the axes, and render SVG circles with the `selectAll().data().join()` pattern. Axes are generated using `axisLeft` and `axisBottom`, with custom labels, while the code also parses additional features like sepal dimensions for each flower.

Mmanojgne

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 D3.js scatter plot visualizes the Iris Dataset, plotting petal length on the x-axis and petal width on the y-axis. Data points are color-coded by species: pink for setosa, green for versicolor, and blue for virginica. The visualization encodes each flower’s sepal length and width as the `rx` and `ry` attributes of the circles, adding an additional dimension to the plot. Built with vanilla HTML, it uses `d3.csv` to load the data, `d3.scaleLinear`, `d3.extent`, and `d3.axisLeft`/`d3.axisBottom` for scales and axes, and appends SVG circles to render the marks.

SSnigdha6698