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43. D3 Axes Bottom

A scatter plot displays eleven data points as circles with square-root-scaled radii, alongside red text labels showing each coordinate pair. The example emphasizes positioning the x-axis at the bottom of the SVG canvas rather than the default location. Using D3 v4.5.0, the code creates linear scales for x and y coordinates, applies `d3.axisBottom()` to generate the axis, and translates the axis group to the bottom edge with `svg.append("g").attr("transform", ...)`. Circle positions use the scaled values, demonstrating axis placement alongside standard scatter plot rendering.

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45. D3 Axes Y

A scatterplot displays 11 data points as circles, with each point labeled by its x,y coordinates in red text. The visualization implements two linear scales for the x- and y-axes using `d3.scaleLinear()`, plus a square-root scale (`d3.scaleSqrt()`) to encode the y-values as circle radii. Vertical and horizontal axes are added using `d3.axisBottom()` and `d3.axisLeft()`, both with five ticks, and rendered as SVG groups. The chart uses a 500×300 SVG canvas with explicit padding.

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D3: A simple, unstyled axis

This example demonstrates a basic scatterplot rendered as an SVG, with red data-point labels and axes that adopt a default, unstyled appearance. Using D3 v4, the code loads a hardcoded array of coordinate pairs and applies linear scales to map the data to a 500-by-300-pixel drawing area. The `d3.axisBottom` and `d3.axisLeft` functions generate the x- and y-axes, while circles are placed and labeled via D3’s `selectAll` and `append` chain. Data is presented without any custom styling rules, highlighting raw axis output.

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47. D3 Axes No Labels

A scatterplot displays 50 randomly generated data points as circles, with their horizontal position mapped from a linear scale and their vertical position from a second linear scale. Circle area encodes the y-value through a square-root scale. The chart includes x and y axes with ticks, created via `d3.axisBottom` and `d3.axisLeft`, but all text labels are removed. The SVG is built dynamically with random data generated in JavaScript, using `d3.scaleLinear` and `d3.scaleSqrt` for coordinate and size mappings.

83% match

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This reusable scatter plot, written with D3 version 6, displays a set of numeric x/y data points as steelblue circles. The example fetches its data from a JSON file hosted in a GitHub gist, then maps the raw values to numbers. It builds an SVG canvas and uses `d3.scaleLinear` with `d3.extent` to compute the axes, which are rendered with `d3.axisBottom` and `d3.axisLeft`. The chart includes labeled X and Y axes, with the plotting logic encapsulated in a function for reuse.

42. D3 Axes

This example demonstrates how to add an axis to a scatter plot using D3.js version 4. A dataset of coordinate pairs is plotted as circles, with each circle’s size scaled by its y-value using a square-root scale. The visualization renders in SVG and includes a bottom axis created with `d3.axisBottom()`, while linear scales (`d3.scaleLinear`) map the data domain to the visual range. Red text labels display each point’s coordinates next to the circles.

44. D3 Axes Clean

This example shows a scatter plot of coordinate pairs plotted with D3.js version 4.5.0. It renders circles and red text labels in an SVG canvas, using `d3.scaleLinear` for x and y axes and `d3.scaleSqrt` for circle radius sizing based on the y-value. The X-axis is customized with `d3.axisBottom` and `tickValues` to display only four specific tick marks (0, 100, 250, 600), demonstrating how to reduce axis clutter.

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This example displays a simple scatterplot with a gray plotting area, using D3 v7 to render an SVG visualization. Linear scales map data from 0 to 100 to pixel coordinates, with axes and labels added via d3.axisBottom, d3.axisLeft, and custom label functions. The chart responds to container resizing through a ResizeObserver, recalculating dimensions and redrawing the visualization when the viewport changes. No data points are plotted, showcasing only the axes, labels, and background region.