FINAL scatter_plot_matrices

100%

FINAL scatter_plot_matrices

✓ Published0🌍 Public

Last edited Oct 3, 2024

Created on Oct 3, 2024

This interactive scatter plot matrix visualizes the classic Iris flower dataset, showing the relationships between four morphological features across three species. Each off-diagonal panel displays a scatter plot of one feature pair, color-coded by species (red for setosa, blue for versicolor, green for virginica), while diagonal panels show histograms of individual feature distributions. The visualization uses D3 v5 with `d3.scaleLinear`, `d3.scaleOrdinal`, `d3.brush`, and `d3.histogram` APIs, rendering all elements as SVG. Users can brush within any scatter plot to select data points and filter the entire matrix, highlighting corresponding observations across all panels.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

scatter_plot_matrices _4

A scatter plot matrix displays pairwise relationships among four Iris flower measurements, with histograms along the diagonal showing each feature's distribution. Points are colored red, blue, and green to distinguish the three Iris species, making clusters and correlations between sepal and petal dimensions visible. The visualization uses D3 v5 to build the matrix, employing `d3.scalePoint` for positioning, `d3.scaleLinear` for axes, `d3.histogram` for the diagonal, and `d3.brush` for interactive selection. Data comes from the classic Iris dataset loaded from a CSV file.

Wweird_danger

91% match

Loading thumbnail…

scatter_plot_matrices _3

This scatter plot matrix visualizes the Iris dataset, showing pairwise relationships between sepal length, sepal width, petal length, and petal width, with points colored by species. Using D3.js v5, the matrix displays scatter plots for off-diagonal cells and histograms along the diagonal, enabling comparison of feature distributions. The code implements d3.brush for interactive selection, d3.scaleLinear and d3.scalePoint for positioning, and d3.histogram for binning diagonal distributions. A legend with colored dots identifies the three Iris species, rendered as SVG elements.

Wweird_danger

90% match

Loading thumbnail…

brushable_scatter_plot_matrices _1

This interactive scatter plot matrix explores the Iris flower dataset, showing the relationships between sepal length, sepal width, petal length, and petal width. Users can select any two dimensions for the x and y axes, with points colored by species (setosa, versicolor, virginica) using a color legend. The visualization uses d3.csv to load the data, d3.scaleLinear for axes, and d3.axisBottom and d3.axisLeft to render gridlines and tick marks. Circles are drawn as SVG elements with opacity set in CSS, and axis labels are rotated using SVG transforms.

Wweird_danger

89% match

Loading thumbnail…

Scatter_plot_matrices _4

A scatter plot matrix of the Iris dataset displays pairwise relationships among four floral measurements, with histograms on the diagonal and color-coded points by species. Built with D3 v5, the visualization uses `d3.brush` for interactive selection, `d3.scaleOrdinal` for color mapping, and `d3.histogram` for density distributions. Axis labels are positioned via `d3.scalePoint`, and the layout adapts to the window size.

Wweird_danger

89% match

Loading thumbnail…

scatter_plot_matrices _2

This example shows a scatter plot matrix for the Iris dataset, displaying pairwise relationships between sepal and petal measurements. Each off-diagonal cell contains a scatter plot colored by species, while the diagonal cells show histograms of individual traits. The visualization uses D3 v5 with SVG rendering, leveraging `d3.scaleLinear`, `d3.axisBottom`, `d3.axisLeft`, `d3.brush`, and `d3.histogram` to build the matrix. Data loads from a CSV file, and users can brush cells to explore correlations across dimensions.

Wweird_danger

89% match

Loading thumbnail…

try

This scatter plot matrix uses D3 v5 to visualize the classic Iris dataset, comparing four flower measurements across all pairwise combinations. The matrix diagonal displays histograms of each feature, while the off-diagonal cells show colored scatter plots where each data point is colored red, blue, or green according to its species. The visualization uses `d3.scaleLinear` for the axes, `d3.scaleOrdinal` for the categorical color mapping, `d3.axisBottom` and `d3.axisLeft` for tick marks, and `d3.histogram` to compute the distribution bins.

Wweird_danger

88% match

Loading thumbnail…

brushable_scatter_plot_matrices _2

This interactive scatter plot matrix displays the Iris dataset, showing pairwise relationships between sepal and petal measurements across three flower species. Users can brush any of the twelve small multiples to highlight corresponding data points across all other plots, with non-selected points fading to gray. Built with D3 v5, the visualization uses SVG rendering with `d3.brush` for the interactive selection, `d3.scaleLinear` for axes, and `d3.scaleOrdinal` to color-code species as red, blue, and green. The data is loaded as CSV and parsed into numeric fields before rendering.

Wweird_danger

87% match

Loading thumbnail…

Iris_Scatter_Plot_Matrix

This interactive scatter plot matrix displays the four numeric attributes of the Iris dataset across a grid of pairwise scatter plots, with points colored by species (setosa, versicolor, virginica). The visualization uses D3.js v6 to create the SVG, with `d3.scaleLinear` for axes, `d3.scaleOrdinal` for categorical color mapping, and `d3.brush` to enable brushing—selecting points in one cell highlights the corresponding points across all other cells. Axis tick lines extend across the entire plot for readability, and species labels appear in the top-left area.

ZZeroKurosakii

87% match