79. D3 Start

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.

87% 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.

86% 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.

80. D3 Click

A bar chart displays a dataset of 20 numeric values, rendered as blue SVG rectangles with white value labels. Each bar darkens as its value increases. When a user clicks any bar, the corresponding data value is logged to the browser's developer console. The visualization uses D3 v4.5.0, employing `d3.scaleBand` and `d3.scaleLinear` for positioning and height, with the click event handled via `.on("click", ...)`. The y-axis is implied through bar heights that grow from the bottom, and the chart is static apart from the logging interaction.

52. D3 Bar Chart Scales

This example demonstrates a flexible, scalable bar chart built with D3.js (v4.5.0), using ordinal and linear scales to map a static dataset of 20 values to SVG rectangles. The chart uses `d3.scaleBand` for the x-axis positioning with padding and `d3.scaleLinear` for y-axis height, rendering bars and white value labels. The bars’ fill colors are dynamically computed from their values, creating a gradient from dark to light blue. The visualization appears static with no animation or interactions.

28. D3 Bar Chart Blues

A bar chart displays a fixed dataset of 20 numeric values in a viewport 500 pixels wide and 100 pixels high. Each bar’s height is proportional to the data value, scaled by a factor of four, and its horizontal position is computed from the array index and overall width. The bars are rendered as SVG rectangles using the D3.js v4.5.0 library, with a dynamic fill color that transitions from dark to lighter blue based on the data value. This example demonstrates simple data-driven styling without any animation or interactive elements.

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.

84% 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.