Fork of Iris Dataset Scatter Plot

Fork of Iris Dataset Scatter Plot

This visualization displays the Iris Dataset as a scatter plot, mapping petal length to the x-axis and petal width to the y-axis, with points colored by species (blue for setosa, red for versicolor, black for virginica). The code loads the data via `d3.csv`, scales the axes with `d3.scaleLinear`, and renders the circles as SVG elements using `selectAll` and `join`, while also storing sepal measurements for potential use. Axes are added with `d3.axisLeft` and `d3.axisBottom`, and the chart fills the entire viewport.

97% match

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.

97% match

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`.

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 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 scatter plot visualizes the Iris Dataset, mapping petal length and width on the x- and y-axes, with each point colored by species (green, blue, or red). Built with D3 v6 and SVG, it uses `d3.csv`, `scaleLinear`, `axisBottom`, and `axisLeft` to render the axes. The code also reads sepal measurements but does not use them visually. Data is loaded from a GitHub-hosted CSV file, and the chart fills the browser window with fixed margins and 24-pixel tick labels.

Llikith1266

Fork of Iris Dataset Scatter Plot

This example visualizes the Iris Dataset, plotting petal length against petal width for three iris species, each colored blue, red, or black. It uses D3 v6 with `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data, scale axes, and render an SVG scatter plot. Circles are positioned on the x- and y-scales, with the underlying sepal measurements stored as `rx` and `ry` attributes. The visualization fills the browser window and includes labeled tick marks with enlarged font sizes.

Bbindhureddy98

95% match