Sample Bar Chart

100%

Sample Bar Chart

✓ Published0🌍 Public

Last edited Aug 16, 2023

Created on Aug 14, 2023

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.

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

D3 Tutorial

This example shows a simple bar chart built with D3, where 25 randomly generated numbers between 0 and 30 are each represented as a teal vertical bar. The chart uses `d3.select`, `.data()`, `.enter()`, and `.append("div")` to create the bars, with the `height` style set via a scaling factor of 5. The data is produced with JavaScript’s `Math.random()` in a loop, and the bars are styled with CSS classes. The page also includes a static R version of a barplot created with `barplot(data)` for comparison.

JJamestiberiuseanes

85% match

Loading thumbnail…

Bar Chart interactive

This interactive bar chart visualizes a dataset of 50 random values, with bars colored on a blue scale and labeled with their numeric values. Clicking the text prompt triggers an update that replaces the data with 25 new random values, resizing the bars accordingly. Built with D3 v6, the example uses the scaleBand and scaleLinear APIs to map data to SVG rectangles, while the d3.select method binds the click event to the paragraph element.

DDasbach.EJ

84% match

Loading thumbnail…

D3 Bar chart for random values

This example presents two bar charts of the same 25 random values. An R-generated image uses `barplot` with a cyan fill to display the dataset, while a D3.js version in `index.html` creates a dynamic bar chart by generating random numbers in a loop, binding them with `d3.selectAll("div").data()`, and styling each bar’s height with a custom scale. The D3 chart uses div elements with a teal background and inline height adjustments, while the R chart relies on the base graphics function. Both visualizations share the same data range but differ in implementation languages and rendering approaches.

MMrajyalakshmi

83% match

Loading thumbnail…

D3: Drawing divs with data

This example shows 25 randomly generated data values rendered as a series of inline-block bars. The code uses D3.js v7’s `d3.select` and the data join pattern with `.data()`, `.enter()`, and `.append()` to create `div` elements styled with a CSS class. Each bar’s height is computed dynamically by multiplying the integer data value (0–29) by 5 pixels, overriding the default 75-pixel CSS height. The data is generated client-side with a JavaScript loop and `Math.random()`.

MMarisa Tania

82% match

Loading thumbnail…

D3: Drawing a Bar Chart

This example demonstrates a basic bar chart built with D3 v7 in an SVG container, visualizing an array of 20 numeric values. The bars grow downward from the top of a 500×100 pixel canvas, with each bar’s height proportional to its data value multiplied by 4, and its fill color transitioning from dark to lighter blue based on the data. The chart also overlays each bar with white, 11px sans-serif text labels showing the exact data values, centered horizontally within each bar. The code uses `d3.select` to append SVG elements and the data-join pattern with `.enter()` to create rectangles and text nodes.

MMarisa Tania

82% match

Loading thumbnail…

Creating SVG Bar Chart

This example demonstrates a simple SVG bar chart built with D3 version 6. It generates a random dataset of ten values using `d3.range` and `Math.random`, then renders each value as a `rect` element, with its height and vertical position proportional to the data. The chart also labels each bar with a `text` element showing its value. The code uses D3’s `select`, `selectAll`, `data`, and `enter` methods to bind data and create the SVG elements, with bars colored using an RGB fill based on each value.

DDasbach.EJ

82% match

Loading thumbnail…

Untitled

This example shows a bar chart with ten bars, each representing a randomly generated value. The chart is rendered as an SVG graphic, with bars drawn in steel blue. The code generates the data internally using a loop and `Math.random`. It uses D3.js v4 APIs including `d3.scaleBand` for the x-axis, `d3.scaleLinear` for the y-axis, and `d3.axisBottom` and `d3.axisLeft` to create the axes. The visualization is built within a React starter template, though the core logic is a simple D3 script.

Bbl75d

82% match

Loading thumbnail…

Generate 25 Random number in the interval 0-30

This example shows a static bar chart of 25 randomly generated numbers between 0 and 30, with each bar’s height proportional to its value. The visualization uses D3.js (version 3.5.5) to bind the dataset to `div` elements, setting each bar’s height via `.style("height", ...)` and styling them with the CSS class `bar` (teal, fixed width, inline-block). The data are generated on the fly using `Math.random()*30` in a loop, while the original R code uses `runif(25, 0, 30)` to produce the same distribution. The chart intentionally omits axes, focusing solely on relative bar lengths for comparison.

CChristosT

82% match