D3 Scale Function PRactice

D3 Scale Functions

This example demonstrates how D3 scale functions map input data values to visual output positions. It plots a set of numeric data points as circles along a horizontal axis, with each value labeled above its corresponding circle. The code uses `d3.scaleLinear()` to map the domain (0–10) to a pixel range, and renders the result as SVG elements. An axis is added using `d3.axisBottom()`, and the utility function `getScale` supports multiple scale types, including `scaleSqrt`, `scaleLog`, and `scaleBand`, though only linear is actively applied here.

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D3 Scale

This example demonstrates how D3 scales map input data to visual output, using a linear scale to position circles along the x-axis and a multi-domain color scale to assign fill colors. The circles represent values from -10 to 10, with colors transitioning from red through gray to blue. It renders as an SVG using d3.scaleLinear for both positioning and color interpolation, with data bound through d3.select and .join(). The code references D3 v7 scale types in utils.js, including scaleTime, scaleBand, and scaleOrdinal, though only linear scales are actively applied.

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D3: Drawing Scale

This example demonstrates how D3’s linear and square-root scales translate raw data coordinates into pixel positions and circle radii. It plots an array of 11 `[x, y]` pairs as circles and red text labels on an SVG canvas. The code uses `d3.scaleLinear()` for both the x and y axes, and `d3.scaleSqrt()` for sizing the circles proportionally. The scales are configured with custom domains and output ranges, with padding applied to keep marks inside the 500×300 viewport. Data is rendered statically, with labels showing the original coordinate values.

MMarisa Tania

85% match

D3 Axes - Scale Types

This example demonstrates six D3 axis types rendered side-by-side in a single SVG, each labeled with its scale type. It shows how different scales—linear, sqrt, log, time, band, and point—map input domains to output ranges of 0 to 500, with axes generated using `d3.axisBottom()`. The code explicitly defines each scale, then reassigns the axis’s scale before calling it on separate `<g>` elements, all built with D3 v7.

D3 - Axes

This example demonstrates how D3’s axis components render tick marks and labels for a linear scale. Four separate axes—left, right, top, and bottom—are drawn inside an SVG container, all sharing the same `d3.scaleLinear` domain of 0 to 100 mapped to a 400-pixel range. The code uses `d3.axisLeft`, `d3.axisRight`, `d3.axisTop`, and `d3.axisBottom` to generate the axes, then attaches each to a corresponding `<g>` group using `selection.call`. The visualization highlights the standard D3 approach for orienting axes around a plot area.

D3 axis example

This example shows a simple linear axis created with D3.js version 7.8.5, rendered as SVG. A linear scale maps a domain of 0 to 10 to a pixel range of 400, and a bottom-oriented axis is generated using `d3.axisBottom()` and applied to an SVG group with the `.call()` method. The visualization demonstrates the basic workflow of defining a scale, constructing an axis, and attaching it to the DOM.

AAxVa 🐍 💪

scale

This example demonstrates the foundational concept of D3 scales by computing and logging values from linear, square root, and time scales, then calculating the extent of a small dataset and applying a linear scale with a nice domain. It uses the d3 v7 library, importing scaleLinear, scaleSqrt, and scaleTime from d3, and renders to a blank SVG canvas. The code defines explicit domains and ranges to show how input values map to output pixel positions, with a dataset of five numeric values and an extent-based domain.

HHeet Bhatt

D3 scales() scaleQuantile() in action

This example demonstrates how D3’s `scaleQuantile()` maps a numeric dataset to a categorical color scale, while `scaleLinear()` positions the data points horizontally. Fifteen circles are rendered in an SVG, each colored lightblue, orange, or lightgreen based on its quantile bucket. The visualization uses `d3.scaleLinear()` and `d3.scaleQuantile()` to transform the data array, and `d3.select("#wrapper").join()` to bind values to circle attributes. The source data is a hardcoded array of numbers, and the rendering is SVG-based.