Skip to main content
SimilarExport ZIP
100%

3D BarChart for superstore dataset

✓ Published0🌍 Public
Yyamunayennem
Last edited Apr 4, 2023
Created on Apr 4, 2023
Forked from HTML Starter

This 3D bar chart visualizes sales for three product categories—Furniture, Office Supplies, and Technology—across four regions (East, West, South, Central) in a superstore dataset. The code uses the AnyChart library, specifically `anychart.column3d()`, to render vertical bars with a tilted 3D perspective via `chart.zAngle(35)` and `chart.zAspect('25%')`. It includes an animated entrance, a legend, and tooltips formatted as `${%Value}` to display dollar amounts. The data is hardcoded within the script, and styling is applied through inline CSS for a full-window container.

AI-generated description

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

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

3D Bar Chart using D3.js

This example visualizes supermarket sales data as an interactive 3D bar chart, with each bar representing a city across multiple months. The visualization uses D3.js v5 for data loading and layout, combined with the d3-3d library to extrude bars into three dimensions, and X3DOM for WebGL rendering of the 3D scene. Sales figures are parsed from a CSV file via `d3.csv`, and the chart is created using `d3.x3d.chart.barChartMultiSeries()`, which manages axes and bar positioning in 3D space. The rendering approach leverages the d3-x3d bridge to convert D3 selections into X3D DOM elements for real-time interactivity.

SsreepavanKothapalli
81% match
Loading thumbnail…

Untitled

A stacked bar chart displays the distribution of sales across three product categories—Furniture, Office Supplies, and Technology—for each city in a Superstore dataset. Users select a customer segment from a dropdown menu and can toggle sorting by total sales or city order via a checkbox. Built with React and D3 v5, the visualization uses `d3.csv` to load data, `d3.stack()` to generate layered bars, and `d3.scaleBand` with `d3.scaleLinear` for axes. Smooth transitions animate changes with `transition.duration`, while labels show the total quantity per city.

SSarahKiyani
81% match
Loading thumbnail…

Untitled

A stacked bar chart displays the distribution of sales across three product categories—Furniture, Office Supplies, and Technology—for each city in a Superstore dataset. Users select a customer segment from a dropdown menu and can toggle sorting by total sales or city order via a checkbox. Built with React and D3 v5, the visualization uses `d3.csv` to load data, `d3.stack()` to generate layered bars, and `d3.scaleBand` with `d3.scaleLinear` for axes. Smooth transitions animate changes with `transition.duration`, while labels show the total quantity per city.

SSarahKiyani
81% match
Loading thumbnail…

3d Bar Chart

This 3D bar chart visualizes sales data across regions and product categories using a custom perspective projection to render extruded bars with visible top, front, and side faces. Built with D3.js and React, it loads CSV data and animates bar transitions when the dataset updates. The visualization uses SVG polygons generated by a custom `bar3d` function with a configurable camera position, while axes, hover states, and color changes enhance interactivity.

PPlatoch
79% match
Loading thumbnail…

3D Bar Chart using D3.js

This example visualizes retail sales for the first six months of the year as an interactive 3D bar chart, with each retailer’s monthly figures grouped along separate axes. It uses the `d3.x3d` library to render X3D scenes, automatically creating a multi-series bar chart where the data is parsed from a CSV file via `d3.csv` and `parseRow`. The chart is embedded in an HTML page using D3 v5, with `d3.select` and `.datum().call()` to attach the data to the DOM element, and it leverages the `d3-3d` and `x3dom` libraries for the 3D output.

PPriyaEnuganti
76% match
Loading thumbnail…

Untitled

A dropdown menu selects a region, and a stacked bar chart animates to show the distribution of Furniture, Office Supplies, and Technology sales across cities. Each bar is segmented by category, with city names on the x-axis and total sales scaled on the y-axis. A checkbox toggles the sorting of bars by city name or by the derived segment total. The chart uses d3.csv to load the Superstore data, d3.stack for layering, d3.scaleBand and d3.scaleLinear for scales, and d3.transition to animate updates. SVG rendering with React centers the visualization.

SSarahKiyani
76% match
Loading thumbnail…

3D BarChart

This 3D bar chart visualizes global video game sales across genres, broken down by major publishers like Nintendo and Electronic Arts. It uses AnyChart’s `column3d()` chart type with custom 3D settings for z-axis angle and padding. The chart includes animated rendering, a legend, tooltips showing revenue values, and axis labels for genre and price. Data is hardcoded in the script, with values representing sales in USD, and the visualization is built using AnyChart’s JavaScript API within a React-compatible HTML page.

SSheela2930
76% match
Loading thumbnail…

3D Bar Chart using D3.js

This example visualizes regional company performance with a 3D bar chart, comparing TotalCost, TotalRevenue, and TotalProfit for each region. The visualization uses the `d3-3d` and `d3-x3d` libraries alongside D3.js v5, rendering interactive 3D bars within an X3DOM scene. Data is loaded asynchronously from a CSV file using `d3.csv`, with each row parsed into multi-series values. The chart is created using `d3.x3d.chart.barChartMultiSeries()` and attached to the DOM via `chartHolder.datum(data).call(myChart)`, replacing initially generated random dataset.

Ggayathrikavya
76% match