Tell us what works and what could be better. We read every submission.
@adchien·4 public vizzes
Three server icons, each loaded from an external PNG via an `svg:image` element, are vertically positioned at fixed y-coordinates (50, 100, and 150) in an SVG canvas. The code uses D3 v4’s `selectAll` and `data` binding to join an array of server objects, then appends images with `xlink:href` attributes. The visualization demonstrates a simple static network layout without interaction or force simulation, relying solely on D3’s data-join and SVG rendering.
This example draws a red stepped line connecting four data points on an SVG canvas. The points are hard-coded as an array of x and y coordinates. The visualization uses the d3.line generator with the d3.curveStepAfter curve function to create the step-like path, and the result is appended as a path element to the SVG. The line is styled with a red stroke and no fill, with the chart area sized to 960 by 500 pixels.
This example shows a simple bar chart displaying four categorical values labeled A through D, with heights proportional to their numeric values. The bars are rendered in red using SVG rectangles, and each bar’s value is printed above it. The chart uses d3.scaleLinear for the y-axis, d3.scaleBand for the x-axis, and d3.axisBottom and d3.axisLeft to draw the axes. Data is hardcoded in the script as an array of key-value pairs.
This example displays a simple bar chart with four categories labeled A through D, each represented by a red rectangle whose height corresponds to its numeric value. The bars are positioned horizontally along the x-axis, though the spacing is fixed at 12 pixels per bar rather than scaled to the data. The visualization uses D3 v4 with an SVG rendering approach, employing `d3.scaleOrdinal` to define a range, though the scale is not applied to the bar dimensions. The code manually sets each bar’s height and width, and the data is hardcoded as an array of objects with `key` and `value` properties.