D3 Practice

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.

MMaxBotta

86% match

D3: Adding values and elements to a chart

A bar chart displays a fixed dataset of 20 values as blue rectangles with white value labels, using D3 v4 scales (`scaleBand` and `scaleLinear`) and SVG rendering. Clicking the text above the chart triggers a transition: a random number between 0 and 25 is appended to the data array, the scales’ domains are recalculated, and both bars and labels animate over one second via `transition()` and `merge()` to accommodate the new element with a slightly narrower band width.

83% match

D3: A chart transition with controlled duration (labels, too!)

This example demonstrates a bar chart whose values, bar heights, colors, and labels all animate over five seconds after a user clicks the accompanying text. The chart initially displays a set of twenty numeric values as SVG rectangles, with corresponding white text labels positioned above each bar. The code uses D3 v4’s `scaleBand` for the x-axis, `scaleLinear` for the y-axis, and the `transition().duration()` method to smoothly interpolate the `y`, `height`, `fill`, and label text attributes when new data is applied. The dataset is a hardcoded array of numbers, rendered entirely via SVG elements.

83% match

D3: Sorting and re-sorting visual elements with delay

A bar chart of twenty numeric values renders with SVG rectangles and text labels. Clicking any bar triggers a re-sorting of the bars and labels in ascending or descending order, with each element transitioning horizontally to its new position. The code uses D3 v4’s `scaleBand` for x-positioning, `scaleLinear` for y-scaling, and `selection.sort` combined with `transition.delay` and `transition.duration` to create a staggered animation effect. Hovering a bar changes its fill to orange via CSS.

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

Vertical Bar Chart

This visualization presents a vertical bar chart initially displaying six pink bars with varying widths. The chart then animates, transitioning the bars to new width values over two seconds using D3’s transition system, with the `transition.attr` API handling the smooth dimension changes. The SVG rendering is implemented using `d3.select` and `append` to create the rectangles, while the data appears as static arrays within the code. The animation showcases how D3 can alter existing SVG elements dynamically, though the source data is not externally linked.

HHelen-Luwei-Zhang

D3: Transitioning to randomized data values

This example shows a bar chart with value labels that randomize each time the user clicks on the text prompt above it. Initially, a fixed dataset of twenty values is rendered as SVG rectangles with a blue color scale and overlaid text labels. Upon clicking, the D3 transition API animates each bar's new height, fill color, and label position with a staggered delay based on its index, using `d3.scaleBand` for the x-axis and `d3.scaleLinear` for the y-axis. The original code was adapted from the book *Interactive Data Visualization for the Web* and updated to work with d3.v4.

A single row of six vertical bars displays categorical values from a fixed array. The bar heights correspond to the numeric data, and each bar is positioned with a uniform width and small spacing between bars. The visualization is built with D3 v5’s selection and `.data()` methods, appending SVG `rect` elements to an `<svg>` element in a React-free HTML page. The chart’s dimensions and bar positions are explicitly set, while the CSS removes page scrolling by positioning the body absolutely.

AAndy Zhang