Fork of Iris Dataset Scatter Plot

100%

Fork of Iris Dataset Scatter Plot

✓ Published1🌍 Public

Last edited Mar 8, 2022

Created on Mar 8, 2022

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 (orange, darkpink, and gold). It loads CSV data via `d3.csv`, parses numeric fields, and uses `d3.scaleLinear` with `d3.extent` to set domains. Axes are rendered with `d3.axisLeft` and `d3.axisBottom`, while circles are drawn using SVG `selectAll().data().join()`. Although labels mention sepal dimensions, the axis text is inconsistent, and the `rx`/`ry` attributes do not affect circle rendering.

AI-generated description

A vanilla HTML implementation of a D3 scatter plot. Shows the Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

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

96% match

Loading thumbnail…

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`.

Ppreethamkesa

96% match

Loading thumbnail…

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 each point by species (setosa, versicolor, virginica). Circles are rendered using D3 v6’s `scaleLinear`, `axisLeft`, and `axisBottom` APIs, with the sepal measurements stored as unused `rx` and `ry` attributes. The SVG fills the window, and data is loaded asynchronously via `d3.csv` from a GitHub gist. The view includes 24-pixel tick labels and no interactivity.

SSnigdha6698

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

Fork of Iris Dataset Scatter Plot

This scatter plot visualizes the classic Iris Dataset, mapping petal length and width on the axes and coloring each point by species (setosa, versicolor, or virginica). It uses D3 v6 to load CSV data, parse numeric fields, and render an SVG with circles. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, while `d3.scaleLinear` and `d3.extent` set the scales. Although the circles carry extra sepal length and width attributes, only the petal dimensions are visible in the plot.

SSreekarveeravelly

96% match

Loading thumbnail…

Fork of Fork of Iris Dataset Scatter Plot

This visualization displays the classic Iris Dataset as a scatter plot, mapping petal length on the x-axis and petal width on the y-axis. Individual data points are colored by species—green for setosa, yellow for versicolor, and black for virginica—using D3’s scaleLinear and extent functions to set the scales. The SVG rendering uses D3 v6 to append circles, with axes added via axisLeft and axisBottom. Although sepal length and width values are read from the CSV, they are assigned as rx and ry attributes on circles, which does not affect their circular appearance since the radius remains fixed.

Eeravellisaimeghana

95% match

Loading thumbnail…

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. Points are colored by species (setosa, versicolor, virginica) using blue, red, and black. The chart also encodes sepal length and width into the `rx` and `ry` attributes of each circle, though these do not affect rendering since they are not recognized SVG circle properties. The implementation uses D3 v6 to load CSV data with `d3.csv`, scales with `scaleLinear`, and draws axes via `axisLeft` and `axisBottom`.

SShivaKarpe

95% match

Loading thumbnail…

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.

Ppreethamkesa

95% match