Skip to main content
SimilarExport ZIP
100%

Untitled

✓ Published1🌍 Public
Aavinash021997
Last edited Mar 12, 2022
Created on Mar 12, 2022
Forked from Untitled

This interactive 3D scatter plot visualizes the classic Iris dataset, showing the relationship between sepal length, sepal width, and petal length. Each of the 150 data points is colored according to its species (setosa, versicolor, or virginica) using a custom Plotly colorscale. The visualization uses Plotly’s `scatter3d` type via `Plotly.newPlot`, with data loaded asynchronously through D3’s `d3.csv`. Axis titles are provided for all three dimensions, and the scene is rendered with colored background planes and white gridlines, creating a clear, rotatable view of the multi-dimensional flower measurements.

AI-generated description

A 3D scatter plot using Three.js and D3.

MIT Licensed

Similar vizzes

Loading thumbnail…

Untitled

This 3D scatter plot visualizes the classic Iris dataset, showing sepal length, sepal width, and petal length as points in three-dimensional space. Each point uses a marker size of 12 with partial opacity, and the axes include distinct background colors and gridlines. The visualization is built using Plotly’s `scatter3d` trace type, with data loaded via D3’s CSV parser and rendered through WebGL. The code defines a custom color scale but does not color-code points by species, instead presenting all measurements in a single trace.

Aavinash021997
96% match
Loading thumbnail…

Untitled

This interactive 3D scatter plot displays the classic Iris flower dataset, mapping sepal length, sepal width, and petal length to the x, y, and z axes. Each point represents a flower specimen, with its color indicating the species: setosa, versicolor, or virginica. The visualization is rendered using Plotly’s JavaScript library, `scatter3d` trace type, and relies on D3’s `d3.csv` method to fetch the dataset from a GitHub gist. The code explicitly sets a custom colorscale and applies colored point markers with pink outlines to distinguish the three species.

Aadapavaishnavi12
96% match
Loading thumbnail…

Untitled

A 3D scatter plot of the classic Iris dataset, colored by species (setosa, versicolor, virginica) and plotted using sepal length, sepal width, and petal length. The visualization, rendered with Plotly's WebGL scatter3d type, displays each flower as a marker with a purple outline and a custom colorscale mapping species to distinct hues. Data is loaded via d3.csv, with species labels converted to numeric color indices for the marker’s color attribute. The plot emphasizes three-dimensional separation of the flower measurements, with axis titles and colored grid backgrounds provided.

Ffouzanuddin
94% match
Loading thumbnail…

Untitled

This 3D scatter plot visualizes the classic Iris dataset, showing sepal length, sepal width, and petal length as coordinate axes with points colored by species. The rendering uses Plotly.js’s `scatter3d` trace type via the `Plotly.newPlot` API, while data loading relies on D3’s `d3.csv` method. The code assigns per-species numeric color values (0, 0.5, 1) and maps them through a custom `pl_colorscale` with discrete bands in cyan, magenta, and purple. Three.js is referenced in the README, though the actual plot is drawn entirely through Plotly’s WebGL-backed scene.

RRavi Teja Bonam
94% match
Loading thumbnail…

Untitled

This interactive 3D scatter plot visualizes the Iris dataset, displaying sepal length, sepal width, and petal length along the three axes. The visualization is built with Plotly.js, using its `scatter3d` trace type to render markers with a green outline. Data is loaded asynchronously via D3's `d3.csv` function, which parses rows from a remote CSV file. Each axis is configured with custom titles and distinct background and grid colors, while the plot's layout margins are minimized to maximize the chart area within its container.

Ddivyagunuguntla
94% match
Loading thumbnail…

Untitled

This example shows an interactive 3D scatter plot of the Iris dataset, mapping sepal length, sepal width, and petal length onto the x, y, and z axes. Each point is rendered as a semi-transparent marker in a three-dimensional scene. The visualization is built with Plotly’s `scatter3d` trace type, using `Plotly.newPlot` to render the chart into a DOM element. Data is loaded asynchronously from a CSV file via `d3.csv`, and the axes include colored backgrounds and gridlines to enhance depth perception.

Aavinash021997
93% match
Loading thumbnail…

3-D Scatter Plot

This example visualizes the classic Iris dataset as an interactive 3-D scatter plot, mapping sepal length, sepal width, and petal length onto the x, y, and z axes. Points are colored by species—setosa, versicolor, and virginica—using a custom Plotly colorscale. The visualization is built with Plotly’s `scatter3d` trace type, which renders via WebGL, and uses D3 to load and parse the CSV data. Each axis is labeled and given a distinct background color for clarity.

Aavinash021997
91% match
Loading thumbnail…

Untitled

This interactive scatter plot visualizes the Iris flower dataset, showing relationships between sepal and petal measurements. Users can select which measurements to plot on the x and y axes using dropdown menus. The visualization encodes the three Iris species (setosa, versicolor, and virginica) with distinct colors: purple, red, and green, with semi-transparent circles. Built with D3.js v5, the code uses the `scaleLinear`, `axisLeft`, and `axisBottom` functions to create the plot, with `extent` for domain calculation and `csv` for data loading.

Mminson
91% match