D3_CookBook(v5)_Ch3 pt1

D3_CookBook(v5)_Ch3 pt2

This example demonstrates a streaming bar chart that updates every 1.5 seconds by shifting the first data point and pushing a new random value onto the end of an array. It shows the classic D3 data-join pattern using `.enter()`, `.update`, and `.exit()` to manage div elements with the class `h-bar`. The code uses `d3.select` and `data()` binding to set each bar’s width and display its numeric value in a span. The visualization relies on `setInterval` to trigger re-renders, with the bars growing and shrinking as the dataset evolves.

93% match

Towards_Updateable-Resusable_d3jsCharts

A reusable bar chart demonstrates the updateable pattern, showing how dynamically changing data, dimensions, and fill colors animate smoothly with D3 transitions. Three chart instances render on the page, each driven by the same `barChart()` factory function loosely based on Mike Bostock's reusable chart pattern. The chart uses `selection.each`, `data`, `enter`, `exit`, and chained `transition` calls to handle updates, including staggered opacity and width changes for new bars, while removed bars shrink and fade out. The standalone HTML file is built with D3 v5 and SVG for rendering.

77% match

Barchart VizHub

This example demonstrates a dynamic bar chart that updates its data through a sequence of timed transitions. Initially, the chart renders 51 randomly generated values as vertical bars using D3 v5’s `scaleBand` and `scaleLinear` for positioning. After one second, the data array is shuffled in place, triggering a smooth transition that reorders the bars. One second later, the final data point is removed, and the exiting bar animates its height to zero before being removed from the SVG. The visualization showcases D3’s data-join pattern with `selection.merge` and `transition.attr` for animated updates.

KKrap

77% match

Tutorial D3 2

This example demonstrates a horizontal bar chart that updates its bar widths based on a data array, using D3 v4 with SVG and animated transitions. It shows how to bind data to rectangles, handle enter/exit/update selections, and smoothly resize bars over one second. The code uses `d3.scaleLinear` for the width scale, `d3.scaleOrdinal` with `d3.schemeCategory20` for bar colors, and `transition().duration(1000)` to animate both entering and exiting bars. The visualization initially renders six bars with values from a hardcoded array, highlighting basic D3 data-join patterns.

JJuanSMartinez

77% match

D3 Learning

This example demonstrates fundamental D3.js data binding and selection techniques through a simple bar chart. It loads an array of numeric values and maps them to SVG rectangles, with the height of each bar proportional to its corresponding data point. The code uses `d3.select` and `d3.selectAll` to manipulate DOM elements, while the `.data()`, `.enter()`, and `.append()` methods create the visual bars from the dataset. Additionally, it shows how to modify text content and styles on headings and paragraphs, illustrating both static selection and dynamic data-driven rendering in React.

Tthanhtrant219

Towards_Updateable-Resusable-ProD3js_d3jsCharts-UpdateDataOnly

This example demonstrates an updatable bar chart pattern in D3.js v5, derived from Mike Bostock's reusable chart principles and Rob Moore's updateable pattern. The chart renders with SVG, showing horizontal bars whose lengths are proportional to data values, with spacing, height, and scale computed from the data array. The code uses `d3.select`, `d3.max` for domain scaling, and the `.data()`, `.enter()`, and `.append('rect')` methods to build bar elements dynamically. A separate container structure is prepared for axes and title, though current axes remain commented out.

Towards_Updateable-Resusable-ProD3js_d3jsCharts

This example demonstrates a reusable and updateable bar chart built with D3.js v5, following the patterns from Mike Bostock’s "Towards Reusable Charts" and Rob Moore’s "Towards Updatable" approach. It renders SVG rectangles scaled from an array of numerical data, with smooth transitions for updating bar dimensions, colors, and datasets. The chart exposes getter-setter methods for `width`, `height`, `fillColor`, and `data` that trigger animated updates via `transition().duration()`. New bars fade in while exiting bars shrink and fade out, all rendered in a vanilla HTML page with multiple chart containers.

MasteringD3js_Ch2 pt2.2

This example demonstrates three versions of an interactive barcode chart that visualizes event timestamps as vertical lines on a timeline, with buttons to add new data points using an exponential random interval generator. The first chart shows basic updates, the second addresses transition smoothing, and the third refines bar removal. Built with D3 v5, the code uses `d3.scaleTime`, `d3.timeDay`, and `d3.dispatch` for time-domain mapping and custom event handling, rendering SVG elements with enter/update selections and animated transitions. The dataset consists of JavaScript `Date` objects generated client-side.