D3 Line Labels Test

100%

D3 Line Labels Test

✓ Published0🌍 Public

Last edited Feb 1, 2023

Created on Jan 24, 2023

This example tests how D3 places labels for lines that connect multiple points across a gun barrel plot. Using `d3.csv` to load well data, it renders circles at each location, labels the wells, and draws maroon line segments between successive points with arrow markers. The `d3.scaleLinear` axes map X positions and depth values, while distance labels display the horizontal spacing between wells.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

linecross labels

This example shows how to connect labeled points to a series of evenly spaced endpoints using angled and straight line segments. Colored circles on the left link to larger target circles on the right through two distinct line types, with the bend point shifting between a shared midpoint and a point based on the source x-coordinate depending on the item’s index. The visualization renders three SVG charts side-by-side at different widths, using d3.scaleLinear for vertical positioning and d3-selection-multi’s attrs method to set line and circle properties. The dataset is a hardcoded array of seven objects with x, y, and color values.

PPatrick Wojda

73% match

Loading thumbnail…

Labels on multiple lines v7

This example shows two time series lines—one for “close” and one for “open” values—plotted against a date axis, with each line labeled directly at its right‑end point using SVG `<text>` elements. The data is loaded from a local CSV via `d3.csv` and parsed with `d3.timeParse`. The chart is built with D3 v7 primitives: `d3.line` generates the path geometry, `d3.scaleTime` and `d3.scaleLinear` map data to coordinates, and `d3.axisBottom` and `d3.axisLeft` render the axes. Red and steel‑blue strokes distinguish the two lines, and their labels are positioned using the scaled y‑values of the first data point.

Dd3noob

72% match

Loading thumbnail…

Labels on multiple lines v4

This example shows a multi-line chart with two time-series lines for stock open and close prices, with labels placed directly at the end of each line. The labels “Open” and “Close” are positioned manually using SVG text elements, colored to match their respective lines (red and steelblue), and anchored to the final data points. The visualization uses d3.csv to load the data, d3.timeParse to parse dates, and d3.line with d3.scaleTime and d3.scaleLinear to render the paths in an SVG canvas.

Dd3noob

72% match

Loading thumbnail…

D3 v4 Line Chart

This example shows a basic line chart built with D3 v4, plotting a randomly generated dataset of 21 points against a linear x-axis and y-axis. The visualization uses an SVG canvas and follows the standard margin convention, with the line rendered via the `d3.line()` generator and a `curveMonotoneX` smoothing curve. Axis components are created using `d3.axisBottom` and `d3.axisLeft`, while circles representing each datapoint are appended using the `enter().append()` method. The chart demonstrates core D3 data-binding and scale APIs within a minimal, self-contained HTML file.

663anp3ca

72% match

Loading thumbnail…

Inline Labels

This example demonstrates a multi-series line chart where each data point is labeled directly on the line, with the final point of each series showing the series name in bold. The chart reads from a TSV file using `d3.requestTsv` and `d3.timeParse` for dates. The code uses `d3.line` to draw the paths, scales `d3.scaleTime` and `d3.scaleLinear` for axes, and `d3.scaleCategory10` for colors. For each label, `element.getBBox` computes the text bounding box, and a white rectangle is drawn behind it with padding for legibility.

Mmbostock

71% match

Loading thumbnail…

Fork of Directly Labelled lines

This example demonstrates directly labeled line charts using D3 v7, displaying three data series (Apples, Blueberries, Carrots) over a three-month time span with a shared y-axis scale from 0 to 20. The visualization uses a Voronoi diagram computed via `d3.Delaunay` to automatically position labels near each line’s end, selecting the largest cell polygon for optimal placement. Data is loaded from an external CSV file, parsed into date-value pairs, and rendered as SVG paths with `d3.line`. The coordinates and angles for label placement are calculated using the geometric library’s `polygonArea` and `polygonCentroid` functions.

MMark Lam

71% match

Loading thumbnail…

D3 Example

This example demonstrates a simple scatter plot where circular marks are placed on an SVG canvas based on data loaded from an external CSV file. The visualization shows how data points are bound to SVG circles, with their horizontal and vertical positions determined by the `x` and `y` properties of each data record. The code uses D3.js version 3.5.5, specifically the `d3.select`, `d3.csv`, and the `data`, `enter`, `update`, and `exit` selection methods to manage the circles. All circles are styled with a uniform teal fill (`#40E0D0`) and a fixed radius of 15 pixels, while the SVG viewport is set to 250 by 250 pixels. The rendering relies entirely on SVG elements.

AAlvaroMoro

71% match

Loading thumbnail…

D3 Scale Function PRactice

This example demonstrates D3 scale functions by mapping a small array of numeric values to positions along an SVG axis. It renders circles and labels on a horizontal line using a linear scale, then displays the corresponding axis with `d3.axisBottom`. The code imports a custom `getScale` utility from `utils.js` that switches between D3’s scale types—including `scaleLinear`, `scaleSqrt`, `scaleLog`, and others—although only the linear scale is actively applied. The visualization uses SVG rendering with a fixed 960×500 canvas and D3 v7 via `bundle.js`.

SSubhendu Karmakar

71% match