d3 Practice

D3 Practice - Animated Bar Chart

Eight vertical bars represent a fixed dataset of eight values at the start height of the chart. Upon loading, the bars animate upward via staggered delays and varied durations, with bars over the 300 threshold turning red while the others remain blue. The visualization uses D3 v4 with `d3.scaleBand` and `d3.scaleLinear` for positioning, and `transition().duration().delay()` for the animation, rendering as SVG rectangles within an axis-labeled coordinate system.

NNewMediaCatalyst

87% match

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.

Aamakanju@nyit.edu

85% 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.

84% match

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.

84% match

D3: Adding values and elements to a chart

This example shows a bar chart that grows dynamically as users click a text prompt, adding a new randomly generated value between 0 and 25 to the existing dataset. Each bar is labeled with its corresponding value, rendered as white text directly on the bar. The chart uses D3 v4’s `scaleBand` for the x-axis and `scaleLinear` for the y-axis, with SVG `rect` and `text` elements. Clicking triggers D3’s `.transition()` API to animate the bars and labels, smoothly repositioning and resizing them as the domain and axes update.

D3: Adding values and elements to a chart

This example demonstrates an interactive bar chart that starts with 20 values and adds a randomly generated data point each time the user clicks the text prompt. The visualization shows a static bar chart with data labels, and the interactive element updates both the chart's scales and geometry. Built with D3 v4, it uses `d3.scaleBand` and `d3.scaleLinear` to manage axes, and `transition` to animate the repositioning and resizing of rectangles and text elements over 500 milliseconds. The data is an inline JavaScript array, rendered as SVG.

D3: Adding and removing values from a chart (dynamic labels included)

Twenty randomly generated bars appear in an SVG bar chart, each labeled with its numeric value. Buttons add a new bar to the end or remove the first bar, triggering a 500-millisecond transition via `selection.merge` and `transition.attr` to animate position, height, and label placement. The chart uses `d3.scaleBand` and `d3.scaleLinear` to map data to coordinates, with a blue color scale derived from each value.

PPragyagarg

D3 bar chart with animation

Ten bars animate in a loop, changing height and color every half second. The bars represent random values between 0 and 1, with a linear color scale mapping low values to yellow and high values to green. The code uses D3 v4 with SVG, updating the bars via `d3.selectAll("rect").data(data).transition()`. It sets `d3.scaleBand` for x positioning, `d3.scaleLinear` for y and color, and generates new random data each interval.

Aannemariet