Skip to main content
SimilarExport ZIP
100%

BONUS ICE - 1: 3D Scatter Plot

✓ Published0🌍 Public
Vviswak12
Last edited Apr 6, 2023
Created on Apr 6, 2023

This example visualizes property price based on nearby stores and property age using a 3D scatter plot. The code loads CSV data via d3.csv, then plots three variables—PropertyYears on the x-axis, UnitPrice on the y-axis, and NearbyStores on the z-axis—as orange markers with green outlines using Plotly’s scatter3d trace type. The layout defines axis titles and colors, and the chart renders inside a designated div via Plotly.newPlot. Data comes from a GitHub gist, and the visualization emphasizes relationships among the three numeric dimensions.

AI-generated description

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

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

BONUS ICE - 1: 3D Scatter Plot

This 3D scatter plot visualizes real estate prices as a function of house age and the number of nearby convenience stores. The Plotly `scatter3d` trace renders each property as a pink marker, with axes labeled for the three variables, all positioned within a minimal margin layout. The visualization loads CSV data from a GitHub Gist via D3's `d3.csv` parsing, then arrays of values are extracted and fed into the `Plotly.newPlot` API to generate the interactive chart.

RRajeevMukhesh
93% match
Loading thumbnail…

Bonus ICE

This interactive 3D scatter plot, built with Plotly and D3.js, visualizes electronic sales data from a CSV file hosted on GitHub. Two distinct traces display relationships between item and unit price, using green and yellow markers to differentiate the encoded dimensions. The code initializes the plot by loading data with `d3.csv`, then constructs scatter3d traces with specific marker styling and opacity, ultimately rendering the visualization into a designated HTML div.

SSaiSree0122
83% match
Loading thumbnail…

3D Scatter Plot for bonus

This 3D scatter plot visualizes retail sales data by plotting price, quantity, and rating in one trace, and price, quantity, and tax in a second trace. Two sets of markers are rendered in three-dimensional space using Plotly’s `scatter3d` type. The code loads CSV data with D3’s `d3.csv` and unpacks columns into arrays, then constructs the traces with custom marker styling, opacity, and line settings. The chart is displayed inside a div using `Plotly.newPlot` with a zero-margin layout.

Pprashanth yamala
80% match
Loading thumbnail…

3D Scatter plot using D3.js

This example shows a 3D scatter plot of two separate datasets from an ICE Bonus CSV file, rendered on a single Plotly chart. One trace maps ItemType, TotalRevenue, and Country while the other maps OrderDate, SalesChannel, and TotalProfit, with colored circular markers in 3D space. The code uses D3.js to load and parse the CSV via `d3.csv`, then passes the data through custom `unpack` functions to extract columns. Plotly’s `scatter3d` trace type and `Plotly.newPlot` render the interactive visualization in the `myDiv` element on an HTML page.

Ggayathrikavya
79% match
Loading thumbnail…

3d Scatter plot Bonus ICE

This 3D scatter plot visualizes video game sales data from a CSV file, plotting year, global sales, and publisher for one trace, and year, other sales, and publisher for a second trace. Built with Plotly’s `scatter3d` trace type and `Plotly.newPlot`, the visualization uses D3.js’s `d3.csv` to load the data and the `unpack` function to extract columns. Markers are styled with size, opacity, and line properties, rendered in an interactive 3D space within a single div.

MManohar Kowthavarapu
79% match
Loading thumbnail…

BONUS ICE SCATTER PLOT

This example visualizes a 3D scatter plot of body measurements, plotting Height, Weight, and BMI as points in three-dimensional space. The data comes from a CSV file loaded via `d3.csv`, and each marker is rendered as a black circle with defined opacity and size. The visualization is built using the Plotly.js `scatter3d` trace type and the `Plotly.newPlot` API, with axis titles styled in distinct colors. The layout configures margins and scene axes to frame the data within a minimal HTML page.

Ssrivalliwuyyuru
78% match
Loading thumbnail…

Bonus ICE Scatter plot using D3.js

This example shows a 3D scatter plot of agricultural data, plotting two distinct traces that map crop production and area against district names and seasons. The visualization uses Plotly’s `scatter3d` type within a single `Plotly.newPlot` call, while D3.js loads the CSV dataset via `d3.csv`. The first trace uses crop, production, and district as x, y, and z coordinates, while the second uses crop year, season, and area, with markers styled by opacity, size, and color.

SShishiraRudrabhatla
78% match
Loading thumbnail…

3d Scatter Plot Bonus ICE 11551417

This example shows a 3D scatter plot of insurance data, overlaying two traces: one maps age and sex against BMI, while the other maps the same age and sex axes against charges. The visualization uses Plotly’s `scatter3d` type, with markers rendered via the `Plotly.newPlot` API. Data is loaded asynchronously from a remote CSV using `d3.csv`, and the `unpack` function extracts columns for each trace. The layout collapses all margins, producing a frameless plot.

SSrujana390
78% match