Fork of Iris Dataset Scatter Plot

Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length and width to the x- and y-axes while coloring points by species (setosa, versicolor, and virginica). Using D3 v6, the code loads the CSV data, applies linear scales via `scaleLinear` and `extent`, and renders circles with SVG. It also passes sepal measurements as `rx` and `ry` attributes, though these do not affect circle radius, which remains fixed. Axes are drawn with `axisLeft` and `axisBottom`.

97% match

Fork of Iris Dataset Scatter Plot

This example visualizes the Iris Dataset, plotting petal length against petal width, with each point colored by species. A scatter of circles maps these measurements, while additional sepal dimensions are stored as unused properties on each data point. The visualization loads CSV data via `d3.csv`, constructs scales with `d3.scaleLinear`, and renders circles and axes using SVG. The code uses D3 v6, with styling applied through `d3.axisLeft` and `d3.axisBottom`. The plot fills the browser window, and tick labels are enlarged for readability.

97% match

Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length on the x-axis and petal width on the y-axis. Each point is colored by species (setosa, versicolor, or virginica), though the code also loads sepal dimensions without displaying them. Built with D3 v6, it uses `d3.csv` to load data, `scaleLinear` for axes, and `axisLeft`/`axisBottom` for tick marks. Circles are rendered as SVG elements with `selectAll` and `join`, with axis labels added via SVG text elements.

MMeghanaArepalli

Fork of Fork of Iris Dataset Scatter Plot

This visualization displays the Iris Dataset as a scatter plot, mapping petal length and width to the x and y axes while encoding species as color. It reads CSV data via `d3.csv`, uses `d3.scaleLinear` with `d3.extent` to set domains, and renders SVG circles with `d3.axisLeft` and `d3.axisBottom`. Each point also carries sepal measurements as attributes, though these are not visually encoded. The plot dynamically sizes to the window and uses a 24px tick font for readability.

Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the classic Iris Dataset, mapping petal length and width on the x- and y-axes, with each point colored by species (setosa, versicolor, virginica) via a custom marker function. Built with vanilla HTML and D3 v6, it uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to render SVG circles and axes. The data loads from a remote CSV using `d3.csv`, and the plot fills the browser window, with marks carrying additional sepal measurements as unused `rx` and `ry` attributes.

Fork of 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, with points colored by species (setosa, versicolor, and virginica). It also encodes sepal length and width as the horizontal and vertical radii of the ellipse-shaped markers, adding extra data dimensions. Built with D3 v6, the code loads CSV data using `d3.csv`, scales axes with `scaleLinear`, and renders the plot as SVG circles with `rx` and `ry` attributes, using `axisLeft` and `axisBottom` for ticks.

SSaikiran2029

Fork of Iris Dataset Scatter Plot

This example visualizes the Iris Dataset as a scatter plot, mapping petal length and width to the x and y axes while colors denote the three species (setosa, versicolor, and others). It also embeds sepal length and width as additional attributes on the circles. The code loads CSV data via `d3.csv`, scales the values with `d3.scaleLinear`, and renders SVG circles using `d3.select` and `.join()`. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, and the visualization fills the browser window using `window.innerWidth` and `window.innerHeight`.

Eeravellisaimeghana

Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length and width as x and y coordinates while coloring each point by species (setosa, versicolor, or virginica). It also stores sepal measurements as data attributes on each circle, though these are not used for positioning. The implementation uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data, scale axes, and render an SVG with circles. Data is fetched from a GitHub Gist, and the viewport fills the browser window.

SSnapika