D3 Tutorial

100%

✓ Published0🌍 Public

Last edited Jan 26, 2016

Created on Jan 24, 2016

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.

AI-generated description

Built with blockbuilder.org

Here is the image of the simple bar chart in R:

R image

Here is the code used to create the chart (also shown in the image):

data <- c(5, 10, 15, 20, 25)
barplot(data)

Similar vizzes

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

85% 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

84% 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 tutorials

This example demonstrates a basic bar chart visualization. It shows a dataset of seven numeric values, each rendered as a fixed-width blue bar whose height corresponds to the value. The chart is built using D3.js methods to select the HTML body, append a `div` for each data point, and apply the CSS class `bar`. The bar heights are set inline using a JavaScript arrow function, and the initial styling is defined within a CSS style block. The code relies on `d3.select`, `d3.selectAll`, `.data`, `.enter`, `.append`, `.attr`, and `.style` to construct the visualization. The data is hardcoded as an array.

SSachin-jpg-lang

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…

D3 SVG Tutorial

This example shows a static bar chart of a 20-point dataset rendered as an SVG, with each bar’s height and color intensity tied to its value. The code uses D3.js version 3.5.5, applying the `d3.select` and `data().enter()` pattern to append rectangles and text labels. Bars are positioned with arithmetic on the dataset length and fixed width/height variables, while fill colors are generated as RGB values scaled by data. The chart demonstrates basic SVG shape binding and data-driven styling without axes or interaction.

JJamestiberiuseanes

81% match

Loading thumbnail…

Hello D3 Version 6

This example demonstrates how to create a basic bar chart from an array of numeric values using D3 version 6. The chart renders vertical bars as colored div elements appended to the document body, with each bar’s height proportional to its corresponding data point. The code uses the d3.select, data, enter, append, and style methods to bind the dataset to new div elements and set their heights dynamically. The dataset is a plain JavaScript array of 20 numbers, and the rendering relies on the DOM rather than SVG or canvas.

SST-commits

80% match

Loading thumbnail…

D3 Page Template

This example uses D3 v5 to render a simple bar chart. It creates an SVG canvas of 300 by 300 pixels, then defines a dataset of six numeric values. The code selects the SVG element, binds the data to it, and appends rectangles with widths proportional to the data values. Each rectangle’s height is fixed at 30 pixels minus a small gap, and its y-position is offset by index. The bars are uniformly colored steel blue. The rendering is purely SVG-based, using `d3.select`, `.append`, `.data`, and `.enter` to construct and position the bars.

AAn Jingyi

80% match