Fork of D3 Power of Data Random

100%

Fork of D3 Power of Data Random

✓ Published0🌍 Public

Last edited Feb 17, 2026

Created on Feb 17, 2026

A dataset of 25 random values is rendered as a static bar chart, with each value encoded as the height of a teal bar. The code generates the random numbers between 0 and 30 in a loop, then uses D3's `selectAll`, `data`, and `enter` selection pattern to create `div.bar` elements. The chart is built using D3 v4.5.0, and the bar heights are set directly via inline styles based on each data point.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

15. D3 Power of Data Random

A dynamic bar chart displays 25 randomly generated values as vertical teal bars. The visualization uses D3.js version 4.5.0 to bind an array of random numbers between 0 and 30 to HTML div elements, setting each bar’s height proportional to its data value. The animation updates the bar heights, demonstrating how D3 can render and update data-driven visualizations.

Aamakanju@nyit.edu

86% match

Loading thumbnail…

14. D3 Power of Data Rounded

This example demonstrates a simple bar chart constructed from 25 randomly generated rounded values. The visualization uses D3 version 4.5.0, with the code generating a fresh dataset of integers between 0 and 29 and rendering each as a teal vertical bar. The chart employs D3’s `selectAll`, `data`, `enter`, and `append` methods to create div elements, with each bar’s height dynamically set via the `.style` method based on the data value multiplied by five. The animation metadata refers to the random generation process rather than a temporal transition.

Aamakanju@nyit.edu

84% match

Loading thumbnail…

Fork of D3 Bar Chart

This fork of a D3 bar chart displays a static dataset of 20 numeric values as vertical bars, with each bar’s height and color intensity proportional to its value and labeled with its number. Built with D3.js version 4.5.0, the SVG is created via `d3.select('body').append('svg')`, and bars and text are added using `selectAll('rect').data(dataset).enter().append('rect')` and a similar text chain, with `attr` calls setting positions, dimensions, and fill colors. The chart uses a simple linear mapping from data to pixel coordinates, with no animation or interaction.

TTony Mai

84% match

Loading thumbnail…

67. D3 Randomized Data

A bar chart displays 20 vertical bars whose heights and blue color intensities correspond to values in a static array. Clicking the text prompt replaces the dataset with 20 new random integers between 0 and 24, then animates the bars and their value labels using `transition` with `delay` and `duration`. The chart uses `d3.scaleBand` for the x-axis and `d3.scaleLinear` for the y-axis, with SVG `rect` and `text` elements. Data is updated via a click handler on a paragraph element.

Aamakanju@nyit.edu

82% match

Loading thumbnail…

Fork of D3 Starter

This example demonstrates a dynamic bar-style visualization where clicking a button generates a new array of 20 random numbers and renders them as a set of div elements whose widths are proportional to their values. Using the D3.js v6 library, the code employs `d3.select` and `selectAll` to manage the div elements, with an accessor function for styling. The rendering process separates new, existing, and removed elements through `div_selector.enter()`, `div_selector.exit()`, and an update function that assigns text, fixed height, dynamic width, and light grey background color.

FFaris Sufyan

81% match

Loading thumbnail…

Sample Bar Chart

This example displays a randomized dataset of 25 numeric values as a series of vertical bars, with each bar’s height proportional to its corresponding data point. The bars are rendered as inline-block HTML `div` elements styled with teal backgrounds and fixed widths. The sample uses D3 v7’s data join pattern—`d3.select().data().enter().append()`—to bind the data and generate the bars, while `Math.random()` produces the source values. The visualization demonstrates a basic bar chart without axes or scales, relying on a simple pixel-to-value mapping.

KKrittaprot Tangkittikun

81% match

Loading thumbnail…

Fork of Bar Chart interactive

This bar chart visualization displays a dataset of 50 randomly generated values as SVG rectangles, with each bar labeled by its numeric value and colored on a purple scale. Built with D3 version 6, the chart uses `d3.scaleBand` for the x-axis positioning and `d3.scaleLinear` for the y-axis scaling. Clicking the text above the chart triggers a one-time update that replaces the dataset with 25 new random values, recalculating the bar heights and positions accordingly.

RRahulSai05

80% match

Loading thumbnail…

Fork of HTML Starter

This example displays a static bar chart of 100 randomly generated quantitative data points, visualizing each item’s value as a vertical steelblue rectangle. It uses D3 v7 with an SVG rendering approach, employing `d3.scaleBand` for the categorical x-axis, `d3.scaleLinear` for the y-axis, and `d3.axisBottom` and `d3.axisLeft` for tick marks. The code generates the dataset in-browser using `Math.random()`, applies rotated labels to sparse x-axis ticks, and includes chart and axis titles for context.

Yyazneshpara2@gmail.com

80% match