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This visualization displays a scatter plot matrix of the Iris dataset, comparing pairs of sepal length, sepal width, petal length, and petal width across a 4×4 grid. Each cell shows the relationship between two quantitative columns using circles with a radius of 2 pixels. The code uses D3 v6 APIs including `csv`, `scaleBand`, `scaleLinear`, and `extent`, with a custom `scatterPlot` factory function managing the scales. Data loads from a GitHub Gist URL, and the SVG rendering fills the entire window.

MMartin Masevski

92% match

Basic Scatter Plot

This scatter plot visualizes the Iris dataset, plotting sepal length against petal length for 150 iris flowers. The code uses D3 v4 to create an SVG visualization, employing `d3.scaleLinear` for both axes and `d3.axisBottom` and `d3.axisLeft` to render the axes. The data is loaded from a CSV file using `d3.csv`. Each flower is represented as a circle, with its position determined by the scaled values of the two measured dimensions.

82% match

Basic Scatter Plot

This example visualizes the classic Iris dataset, plotting sepal length against petal length for 150 flowers of three species. Using D3.v4, it constructs an SVG scatter plot with labeled, ticked axes, employing `d3.scaleLinear`, `d3.axisBottom`, and `d3.axisLeft` for coordinate mapping and axis generation. The visualization also demonstrates custom axis label styling and margin-based layout, with data loaded from a CSV file.

scatter plot

This scatter plot visualizes the Iris Dataset, displaying sepal length on the x-axis and sepal width on the y-axis, with each point colored by species (Iris-setosa, Iris-versicolor, or Iris-virginica). The visualization uses D3 v6 to load CSV data, apply linear scales via `d3.scaleLinear`, and render circles in an SVG. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, and additional petal length and width values determine each circle’s radius properties. The plot fills the browser window, with styled tick labels and axis text.

DDineshK2602

Basic Scatter Plot

This example visualizes the classic Iris dataset, plotting sepal length against petal length for 150 flower specimens. Built with D3 v4, it loads data from a CSV file and uses linear scales with the margin convention to position circles in an SVG. The axis constraints are omitted, but the scatter plot effectively reveals the clustering of the three iris species based on their measured botanical dimensions.

Scatter Plot

This scatter plot visualizes the Iris Dataset, with each circle representing an iris flower colored by species to emphasize clustering patterns between sepal length and petal length. The SVG visualization uses D3 v5 with d3.scaleLinear for axes and d3.scaleOrdinal with d3.schemeCategory10 for categorical coloring. It incorporates the d3-legend library to generate a color legend, while axes are rendered using d3.axisBottom and d3.axisLeft with gridlines and rotated labels. Data loads asynchronously from a CSV via d3.csv.

Kkranthireddyskr

scatterplot

This scatterplot matrix visualizes the Iris dataset, showing pairwise relationships between sepal and petal measurements, with histograms along the diagonal and color-coded points by species. The plot uses d3.brush for interactive brushing and selection across cells, while d3.histogram generates the diagonal distributions. SVG rendering with d3.scaleLinear, d3.scaleOrdinal, and axis components handles scaling and annotation. The interface allows brushing to highlight subsets across all scatterplots simultaneously, with non-selected points dimmed via a hidden class.

Ddaniel

Basic Scatter Plot

This example shows a basic scatter plot of the Iris dataset, mapping sepal length to the x-axis and petal length to the y-axis for 150 flowers. Using D3 v4, it loads the data from a CSV file with `d3.csv`, applies linear scales via `d3.scaleLinear`, and renders each flower as a circle element in an SVG container. The plot does not encode species or other dimensions, and includes no axes or labels.