Fork of 3D Bar Chart AISHWARYA-M

100%

Fork of 3D Bar Chart AISHWARYA-M

✓ Published0🌍 Public

Last edited Mar 12, 2022

Created on Mar 12, 2022

This example displays a 3D bar chart using D3.js and SVG, showing the frequency of car models from a tab-separated data file. The bars are drawn as three visible faces (front, top, left, or right) selected by a perspective projection function that maps 3D coordinates to 2D. Using D3 scales and axes, the chart sorts bars by distance from the center to manage overlap, and includes hover states that change bar colors. The animation and transitions update polygon paths for each bar face.

AI-generated description

React Starter code.

MIT Licensed

Similar vizzes

Loading thumbnail…

3D Bar Chart AISHWARYA-M

The visualization shows a 3D bar chart of car brand frequencies as extruded bars with visible front, top, and side faces. Each bar’s height encodes frequency, with camera perspective applied to render depth, and bars are sorted by distance from center to manage overlap. Built with React and D3.js (d3.tsv, d3.scale.ordinal, d3.svg.axis), the chart uses SVG polygons for faces and animates transitions via d3.transition. Hovering recolors the faces to highlight entries. Data comes from a TSV file listing car models and their frequencies.

AAishwarya Manjunath

90% match

Loading thumbnail…

Fork of 3D Bar Plot AISHWARYA-M

This example presents an interactive 3D bar plot rendered as cubes in SVG, with each cube’s height representing a numeric value. The visualization uses the d3-3d plugin to project 3D coordinates onto a 2D plane, supporting mouse-drag rotation around both axes via d3.drag. Cubes are generated from random uniform height values and colored with d3.scaleOrdinal using a category color scheme. The code also includes a fork with a separate React-based 2D bar chart that loads UN population data from a CSV using d3.csv, applying scaleBand and scaleLinear for axes and animated transitions.

CCHENNI-Nidhaleddine

88% match

Loading thumbnail…

Fork of 3D Bar Plot AISHWARYA-M

This example presents an interactive 3D bar plot where bars are visualized as cubes arranged on a grid, with heights corresponding to a random uniform distribution between -2 and -7. The visualization uses the d3-3d library alongside D3 v4 to render the cube geometry and manage 3D transformations. Users can drag to rotate the entire scene, adjusting the rotation angles for both the X and Y axes in real time. The chart includes color-coded cubes with darker strokes, text labels displaying the height values on top of each cube, and smooth transitions when the data is initially processed.

PPujitha14challagulla

87% match

Loading thumbnail…

Fork of 3D Bar Plot AISHWARYA-M

This fork of a 3D bar plot visualizes population data from the United Nations 2019 dataset using the d3-3d library to render cubes as bars with height representing population values. The chart supports interactive rotation through d3.drag() events, allowing viewers to rotate the cube field along X and Z axes. Coded with D3 v4, the visualization renders as SVG with transitions animating cube faces and value labels, while also including a separate React-based bar chart component that reads the same UN population CSV data.

Eeravellisaimeghana

83% match

Loading thumbnail…

Fork of 3D Bar Plot AISHWARYA-M

This example presents an interactive 3D bar plot of country populations using a cube representation of data points. The visualization loads data from a CSV file and renders animated, draggable 3D cubes that users can rotate to explore. The code combines React with D3 version 4, using the `d3._3d` API from the d3-3d library to handle cube construction and perspective projection, while the data itself comes from the UN Population 2019 dataset. The visualization includes animated transitions for text labels and uses SVG paths for rendering, with user interaction managed through D3's drag events.

Aakhil kata

83% match

Loading thumbnail…

Fork of 3d Bar Chart

This example displays a 3D bar chart using d3 and SVG, with bars rendered as extruded blocks and a pseudo-3D perspective projection. The chart uses a custom `bar3d.js` module that computes visible faces (front, top, left, right) based on a camera position, and animates changes via d3's transition system. The data is loaded from a TSV file and mapped to categorical x- and z-axes, with bar heights representing frequency. The bars are drawn with distinct face colors and highlight on hover, while axis labels and gridlines are styled using the d3.svg.axis API.

RRahulSai05

83% match

Loading thumbnail…

Fork of 3D Bar Plot AISHWARYA-M

This is a fork of a 3D bar plot that visualizes UN population data for ten countries. The chart renders as a series of 3D cubes using the `d3-3d` library, with each cube’s height encoding the country’s 2020 population. Users can drag to rotate the entire plot, which recomputes the cube faces and labels via `cubes3D.rotateY` and `cubes3D.rotateX` in real time. The cube vertices are defined by eight coordinate points, and the project combines React for the 2D bar-chart variant with raw SVG and D3 v4 for the 3D rendering. The data is loaded asynchronously from a CSV using `d3.csv`.

SShivaPriyad

82% match

Loading thumbnail…

Fork of 3D Bar Plot AISHWARYA-M

This example shows a 3D bar plot of UN Population data for 2019, rendering the top 10 countries as extruded cubes arranged along a grid. The visualization uses d3-3d to project 3D geometry into SVG paths, with each cube colored distinctly and labeled with its population value. Users can drag to rotate the scene, adjusting the cube orientations through d3.drag and the d3-3d rotation methods. The initial dataset is loaded via d3.csv from a GitHub gist, while the separate index.js file demonstrates an alternative Plotly-based scatter3d approach using different data.

NNaimisha-M

82% match