Fork of Fork of bonus ice

100%

Fork of Fork of bonus ice

✓ Published1🌍 Public

Last edited Apr 5, 2023

Created on Apr 5, 2023

This 3D scatter plot visualizes the Iris flower dataset, mapping calyx length and width against corolla length and width as separate traces. The visualization uses Plotly.js to render interactive 3D markers with adjustable opacity and size, with data loaded asynchronously via D3.js (v3) CSV parsing from a GitHub-hosted dataset. Two traces distinguish the different corolla measurements, while the layout removes all margins for a full-viewport presentation. The code utilizes Plotly.newPlot to render the chart inside a designated div, combining D3's data-handling capabilities with Plotly's 3D rendering engine.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

Loading thumbnail…

Fork of bonus ice

This visualization presents a 3D scatter plot of flower measurements, displaying both corolla length and corolla width against calyx dimensions in a single interactive view. The code uses the Plotly JavaScript library (plotly-2.9.0) with its `Plotly.newPlot` API to render two scatter traces: one 2D trace showing calyx length versus calyx width, and one 3D trace plotting calyx length, calyx width, and corolla width. Data is loaded from a CSV file hosted on GitHub using d3.csv, with the marker styling differentiating the two traces.

VVineela Reddy

92% match

Loading thumbnail…

Fork of Fork of 3D Scatter Plot with Iris Dataset

A 3D scatter plot of the Iris dataset displays flower measurements across three axes, with sepal length, sepal width, and petal length in one trace, and petal width replacing the vertical axis in a second trace. The interactive visualization uses Plotly.js with a `scatter3d` and `scatter2d` type, loading data from a CSV via D3.js `d3.csv`. Markers vary in size, opacity, and color, with the layout margins set to zero for a clean presentation.

Aamiralitah

87% match

Loading thumbnail…

Fork of 3D Scatter Plot with Iris Dataset

This interactive 3D scatter plot visualizes the Iris dataset, displaying sepal length, sepal width, and petal length as coordinates in three-dimensional space. Each flower specimen appears as a marker, with a second trace plotting the same sepal dimensions against petal width in a 2D scatter overlay, both using semi-transparent styling to reveal overlapping points. The visualization is built with Plotly’s JavaScript library, specifically using `Plotly.newPlot` to render the chart into a dedicated div, while data is loaded asynchronously via `d3.csv` from a remote GitHub-hosted CSV file. The code defines two traces—one `scatter3d` and one `scatter2d`—with custom marker sizes, colors, and opacity, and removes all layout margins for a clean presentation.

JJyothicherukuri

86% match

Loading thumbnail…

Fork of Fork of 3D Scatter Plot with Iris Dataset

This example visualizes the classic Iris dataset as an interactive 3D scatter plot, displaying two traces that map sepal and petal measurements against different axes. The plot uses Plotly’s `Plotly.newPlot` function to render scatter3d markers with adjustable size, opacity, and color, while D3’s `d3.csv` loads the dataset from a GitHub gist. The layout removes all margins, focusing attention on the three-dimensional point distribution.

MMgk1255

86% match

Loading thumbnail…

Fork of bonus ice

This example presents a 3D scatter plot of the abbreviatus dataset, using Plotly’s `Plotly.newPlot` to render flower measurements. Two traces show different variable combinations: the first plots calyx length, calyx width, and corolla length in `scatter3d` style, while the second overlays calyx length, calyx width, and corolla width as `scatter3d` markers. Data is loaded via `d3.csv` from a GitHub gist, with marker styles customized through Plotly’s `marker` options for size, opacity, and color. The layout uses zero margins to focus on the plotted points.

PPujitha14challagulla

86% match

Loading thumbnail…

Fork of Fork of Fork of Fork of Fork of ICE-6 Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length and width as point positions, with sepal length and width stored as additional data properties. Points are colored by species (red, green, pink) using a switch statement. The visualization uses D3 v6’s `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs to load data, scale coordinates, and render SVG axes. The code sets fixed radius circles, handles viewport-sized dimensions, and displays axis labels with custom styling.

Aajaysonu

86% match

Loading thumbnail…

Fork of Fork of Fork of ICE-6 Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length and width for each sample while coloring points by species (blue, yellow, red). The visualization uses d3.csv to load data, d3.scaleLinear for axes, and D3’s selection joins to render SVG circles with petal dimensions. Axis labels are added via D3’s axisBottom and axisLeft, with text rotated for the y-axis. The chart also encodes sepal length and width as the rx and ry attributes of each circle.

Kkollirohit2000

86% match

Loading thumbnail…

Fork of 3D Scatter Plot

This fork of a 3D scatter plot visualizes the Iris dataset, displaying two series of markers that map sepal length, sepal width, and either petal length or petal width. The visualization uses Plotly’s `Plotly.newPlot` to render a `scatter3d` chart inside a `div`, with data loaded via `d3.csv`. Each trace configures marker size, opacity, and line styling, while the layout removes all margins to focus on the plotted points.

VVineela Reddy

85% match