53. D3 Updates All Data

54. D3 Updates All Data Fixed

This example demonstrates how a D3.js bar chart can update all of its displayed data at once in response to a user click. A static dataset of 20 numeric values is initially rendered as blue-hued bars with white value labels. After clicking the paragraph text, the chart swaps in a second, reordered dataset. The update process uses D3's selectAll, data, and attribute methods to apply new heights, vertical positions, fill colors, and label text to the existing SVG rectangles and text elements, without re-creating the chart structure.

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74. D3 Adding Values

Clicking the text at the top adds a new random value to a dataset, causing a bar chart to update with a smooth transition. The example demonstrates the D3 data join pattern, using selections and `merge` to handle entering and updating rectangles. It employs `d3.scaleBand` for the x-axis, `d3.scaleLinear` for the y-axis, and SVG transitions over 500 milliseconds to animate the bars and their labels.

D3 Bar Chart

This interactive D3 v4 bar chart displays two datasets of numbers as vertical steel-blue bars with value labels and a y-axis. Clicking the Update button toggles between a 10-element ascending dataset and an 8-element descending one, demonstrating the enter, update, and exit pattern. The code uses d3.scaleLinear for the y-scale, d3.axisLeft for the axis, and transition().duration(500) to smoothly animate bar heights, positions, widths, and labels when the data changes. SVG rendering handles all visual elements.

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75. D3 Removing Values

Clicking the text above the chart removes the first value from a 20-point dataset, shifting the remaining bars left and shortening the tallest bar as the y-axis rescales. Built with D3.js version 4.5.0, the visualization uses SVG rectangles and labels, with `d3.scaleBand` and `d3.scaleLinear` mapping data to positions. The update pattern demonstrates the enter, update, and exit selections, merging new and existing elements with `selection.merge`, then animating transitions over 500 milliseconds via `transition.attr` and `.remove()`.

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.

56. D3 Duration

A bar chart displays twenty data values as vertically oriented rectangles, each labeled with its numeric value. Clicking the prompt text triggers a one-time update with a new dataset. The visualization uses D3 v4.5.0 to construct an SVG scene with `d3.scaleBand` for x-axis positioning and `d3.scaleLinear` for bar heights. The update applies a `transition` with a controlled `duration` of 1000 milliseconds, smoothly animating the rectangles' y-coordinates, heights, and fill colors. Text labels update instantly without transition.

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.

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