Skip to main content
SimilarExport ZIP
100%

Untitled

✓ Published0🌍 Public
LLG0498
Last edited Mar 11, 2022
Created on Mar 11, 2022
Forked from D3 Starter

This example shows a 3D scatter plot comparing two datasets, each displayed as a set of markers with distinct visual styling. It loads the `3d-scatter.csv` file from the Plotly datasets repository via D3’s CSV parser, then unpacks the x, y, and z coordinates for each trace using the `unpack` function. The visualization renders two `scatter3d` traces filled with circles of a fixed size, varied opacity, and either a light outline or solid gray color. The layout eliminates all margins, and the chart is drawn in the `myDiv` element using Plotly’s `newPlot` API.

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

Untitled

This example displays a 3D scatter plot with two sets of markers, each representing a distinct series of data points. It uses Plotly.js to render the visualization, with a D3 CSV loader fetching the dataset from a GitHub Gist. The code defines two traces—one with default styling and another with gray markers—and plots them across x, y, and z coordinates. The layout removes all margins, and the chart is embedded in a designated div element.

SSaahithi49
90% match
Loading thumbnail…

Untitled

This example displays two sets of three-dimensional scatter points from the Plotly `3d-scatter.csv` dataset. It shows the distribution of data points in x, y, and z coordinates, comparing two distinct groups differentiated by marker style—one with translucent, bordered circles and another with solid gray circles. The code uses the Plotly JavaScript library, called via `Plotly.newPlot`, along with `d3.csv` to fetch and parse the data. The `unpack` function extracts each coordinate column for the traces. A zero-margin layout removes all surrounding space.

LLG0498
89% match
Loading thumbnail…

Untitled

This example shows a 3D scatter plot with two groups of points rendered as floating markers in space. The visualization uses Plotly’s `scatter3d` traces, with the first trace having semi-transparent markers and the second using solid gray circles. Data is loaded from a remote CSV file via D3’s `d3.csv`, and the layout margins are set to zero to maximize the plot area. The chart is rendered inside a single `div` using `Plotly.newPlot`, with marker size, opacity, and line styling defined per trace.

SSravan1888
89% match
Loading thumbnail…

Untitled

This example renders a 3D scatter plot from a CSV dataset using Plotly.js within a D3 v6-loaded HTML page. It visualizes two series of coordinates—x1/y1/z1 and x2/y2/z2—as distinct marker groups with differing colors and opacity. The code loads data via D3’s `d3.csv` and transforms rows using a custom `unpack` function to extract columns for the Plotly traces, which are configured as `scatter3d` markers. The layout margins are set to zero to maximize the plot area.

Ssalimjivani
89% match
Loading thumbnail…

Untitled

This example shows a 3D scatter plot comparing two sets of data points across three variables: a1/s1/h1 and a2/s2/h2. The visualization uses two distinct marker styles—one with black outlines and one with pink circles and green outlines—to differentiate the datasets. The code loads CSV data from a GitHub gist using the D3.js `d3.csv` function, then constructs the plot with Plotly's `scatter3d` trace type. The layout removes all margins to maximize the plot area, and the chart is rendered into a div using `Plotly.newPlot`.

AAshrith Kudidhi
88% match
Loading thumbnail…

Untitled

This example shows a 3D scatter plot with two traces, each displaying a set of data points in three-dimensional space using Plotly.js. The first trace appears in the default color while the second is pink, with both series having markers outlined in contrasting colors. The data is loaded from a remote CSV file using D3’s `d3.csv` method, parsed through a custom `unpack` function to extract the x, y, and z coordinates for each series. The visualization is rendered into a div element without margins, leveraging Plotly’s `scatter3d` chart type.

SSaahithi49
88% match
Loading thumbnail…

Untitled

This 3D scatter plot visualizes population data from a CSV file loaded via D3.js, displaying two distinct series as clusters of points in three-dimensional space. The first trace uses default Plotly coloring while the second employs gray markers with circular symbols, both featuring semi-transparent points with thin outline strokes. Built with Plotly.js's `scatter3d` type and `Plotly.newPlot`, the visualization renders into a single div element with zero margins, allowing the data to fill the entire viewport. The data is fetched using D3's `d3.csv` method and mapped through a custom `unpack` function to extract x, y, and z coordinates from the dataset.

SSurikanti Swathi
86% match
Loading thumbnail…

Untitled

This visualization displays two sets of three-dimensional scatterplot data as grouped point clouds, with one trace rendered in warm red tones and the other in neutral gray. Built using Plotly.js within an HTML page, the code loads a CSV dataset from a GitHub repository via the D3.js `d3.csv` function, then maps columns to x, y, and z coordinates. The markers use a fixed size of 12, partial opacity, and custom line colors, while the plot layout strips all margins for a clean, full-frame view.

SSravan1888
84% match