21. D3 Bar Chart Divs

10. D3 Drawing Divs Height

Five vertical divs display a bar chart, each bar's height corresponding to a value in a small JavaScript array. The visualization demonstrates how D3 version 4.5.0 maps data to visual properties using a simple pipeline. The code uses `d3.select` to target the body, `selectAll` and `data` to bind the dataset, then `enter` and `append` to create divs with class 'bar'. A style function dynamically sets the `height` attribute in pixels, overriding the initial CSS. This example illustrates D3's core selectors and data-binding methods.

88% match

51. D3 Bar Chart

This is a simple D3.js bar chart that visualizes a numeric dataset of 20 values, displaying each value as a rectangle scaled in height and colored in varying shades of blue. The chart uses an SVG element sized 500 by 100 pixels, with rectangles positioned horizontally and vertically scaled by a factor of four. Each bar is labeled with its corresponding number, rendered in white text. The example demonstrates basic D3 v4.5.0 APIs including `d3.select`, `svg.selectAll`, `.data()`, `.enter()`, and `.attr()`, with a static dataset defined as an array of integers.

87% match

26. D3 Bar Chart Heights

A simple bar chart displays twenty numeric values as vertical SVG rectangles. The chart uses a fixed width of 500 pixels and height of 100 pixels, with each bar’s height scaled by a factor of four. The code creates the visualization by selecting the body, appending an SVG element, and binding the dataset using `d3.select`, `.data`, and `.enter()`. Rectangles are positioned using `attr('x')` and `attr('y')`, with width calculated by dividing the total width by the number of data points, minus a one-pixel padding.

87% match

27. D3 Bar Chart Teal

This bar chart displays a static dataset of 20 numeric values, rendered as teal-colored rectangles in an SVG container. The code uses D3.js version 4.5.0 to bind the array of numbers to SVG `rect` elements, calculating each bar’s x-position, width, and height based on the dataset length and value. The bars are vertically scaled by a factor of 4, with a 1-pixel padding between them. The chart does not include axes, labels, or interactivity, focusing solely on the basic bar-encoding technique.

86% match

29. D3 Bar Chart Labels

This D3.js bar chart displays a static dataset of twenty numeric values as vertical bars. The SVG rendering uses blue-filled rectangles whose height and color intensity scale directly with the data value. Each bar includes a white, sans-serif text label positioned inside the bar, showing its corresponding value. The chart is constructed procedurally using D3's `select`, `append`, and `attr` methods, with no external data file.

24. D3 Bar Chart Even

Twenty vertical SVG rectangles form a static bar chart from a hardcoded array of 20 numeric values. The bars are evenly spaced along the x-axis using a calculated offset based on the dataset length, with a fixed width and full chart height, so no data variation is encoded. The example uses D3 v4’s `d3.select`, `append`, `data`, and `enter` to bind the array and create the rectangles, demonstrating a basic SVG rect-based bar chart without axes or scales. An animation is not present in the visible code.

11. D3 Drawing Divs Spaced

Five teal bars appear in a row across the page, each representing a value from the static dataset `[5, 10, 15, 20, 25]`. Using D3 v4.5, the code selects the body, binds the data, and appends a `div` for each number. The bars are spaced with inline-block styling and margin, while each height is set dynamically via `.style('height', ...)` as the data value multiplied by five pixels. This example demonstrates the basic data-join pattern and the use of D3’s `.selectAll`, `.data`, and `.enter` methods to generate DOM elements.

09. D3 Drawing Divs

This example demonstrates how to bind a simple array of numbers to HTML elements using D3.js, creating five div elements with a teal background class. The code uses the d3.select and data binding methods (selectAll, data, enter, append) to generate the visual elements. Each div is assigned the “bar” class with fixed inline CSS styling. The dataset values influence the number of rendered bars but not their size, as the visualization focuses on the fundamental pattern of entering data-driven DOM elements.