Bonus ICE Bar Chart

100%

Bonus ICE Bar Chart

✓ Published0🌍 Public

Last edited Mar 11, 2022

Created on Mar 11, 2022

This example visualizes the revenue data from a CSV file as a 3D cube-based bar chart using Plotly. The chart’s `cubes3d` trace type maps product names to the x-axis and revenue values to both the y and z axes, with semi-transparent markers. It combines D3.js for CSV parsing and layout configuration, while Plotly.js handles the 3D rendering in an SVG container. The data originates from a GitHub-hosted CSV, and the visualization demonstrates a custom axis margin setup.

AI-generated description

This bar chart shows population of the top 10 most populous countries. The data comes from the year 2018 estimate in United Nations: World Population Prospects 2017. It also demonstrates customization of D3 axes.

MIT Licensed

Similar vizzes

Loading thumbnail…

3D Bar Chart for bonus ICE

This example displays retail sales data as an interactive 3D bar chart, showing product price, quantity, and tax values. The visualization uses the `d3-x3d` library to render bars in X3D, with D3 v5 handling the data processing and CSV loading from a GitHub-hosted file. The chart is built as a multi-series bar chart, where each product corresponds to a group of bars. The code initializes the chart with random data before replacing it with the actual retail sales dataset.

Pprashanth yamala

81% match

Loading thumbnail…

Bonus ICE - 3D Bar Chart

This example visualizes average stock prices for nine major companies from 2015 to 2022 in an interactive 3D bar chart using X3DOM and d3-x3d. The d3.csv method loads data from a GitHub-hosted CSV file, which is parsed and bound to the chart via chartHolder.datum(data).call(myChart). The bar chart shows each stock on one axis, the year on another, and the price as the bar height, with the scene rendered in a browser using X3D markup.

NNaveen Kumar

79% match

Loading thumbnail…

3D Bar chart - Bonus_ICE

This example presents a 3D multi-series bar chart visualizing attrition across departments for three years (2016–2018). It renders the categorical data as extruded bars in a spatial scene, with axes and grid lines for depth perception. The visualization leverages the `d3-x3d` library, which bridges D3.js v5 with X3DOM for WebGL-based 3D output. Data is loaded asynchronously from a CSV file using `d3.csv` and parsed into key-value pairs, then bound to the chart via `chartHolder.datum(data).call(myChart)`. The demo also includes sample random data generation for initial display before the real dataset loads.

HHema1430

79% 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

78% match

Loading thumbnail…

ICE6 Bar Plot

This example visualizes total sales for five items using a horizontal bar plot rendered as SVG. The React component fetches data from a CSV file via `d3.csv`, then uses `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis. D3's axis utilities generate tick marks and labels for both scales. The bars themselves are plain SVG `<rect>` elements, with their widths proportional to the sales values, and the chart includes a title and loading state.

PPlatoch

78% match

Loading thumbnail…

Fork of bonus ice

The visualization displays 3D bar charts derived from a CSV file, with cubes representing data values and an animated, interactive rotation controlled by mouse drag. Built with React and D3 v4, it uses the `d3._3d` API combined with SVG paths and `transition` animations for cube rendering and text labels. The underlying data is loaded via `d3.csv` from a GitHub-hosted source, while a Plotly 3D scatter plot module is also present for comparison.

Aajaysonu

78% match

Loading thumbnail…

BONUS ice 3d bar

This example visualizes video game sales data as a 3D bar chart, comparing regional and global sales across ten titles. It uses the d3-x3d library to bridge D3.js with X3DOM, rendering multi-series bars in a WebGL scene. The code loads CSV data via d3.csv, parses it into per-game sales categories, and binds it to a d3.x3d.chart.barChartMultiSeries component. The d3-3d plugin and D3 v5 scales handle the chart’s 3D layout, while the X3DOM runtime displays the interactive, rotatable scene in the browser.

TTejamod

77% match

Loading thumbnail…

ICE-6

This bar chart displays total sales values by year, with each year’s revenue encoded as a bar’s height and a dollar-formatted y-axis for reference. Built with D3 v4, it loads CSV data from a GitHub gist via `d3.csv`, scales the x-axis with `d3.scaleBand` and the y-axis with `d3.scaleLinear`, and renders SVG rectangles. Axis labels for “Year” and “Total Sales Value” are appended directly to the generated axes.

Kkartik900

77% match