25 - Set a Domain and a Range on a Scale - Data Visualization with D3 - freeCodeCamp Tutorial

We're now gonna set the domain and range. Refer to the previous challenge for more clarification.

Link to challenge : https://www.freecodecamp.org/learn/data-visualization/data-visualization-with-d3/set-a-domain-and-a-range-on-a-scale Concepts: d3.scaleLinear([[domain, ]range]) Constructs a new continuous scale with the specified domain and range, the default interpolator and clamping disabled. If either domain or range are not specified, each defaults to [0, 1]. Linear scales are a good default choice for continuous quantitative data because they preserve proportional differences. Each range value y can be expressed as a function of the domain value x: y = mx + b. https://github.com/d3/d3-scale#linear-scales

continuous.domain([domain]) If domain is specified, sets the scale’s domain to the specified array of numbers. The array must contain two or more elements. If the elements in the given array are not numbers, they will be coerced to numbers. If domain is not specified, returns a copy of the scale’s current domain. https://github.com/d3/d3-scale#continuous_domain

continuous.range([range]) If range is specified, sets the scale’s range to the specified array of values. The array must contain two or more elements. Unlike the domain, elements in the given array need not be numbers; any value that is supported by the underlying interpolator will work, though note that numeric ranges are required for invert. If range is not specified, returns a copy of the scale’s current range. See continuous.interpolate for more examples. https://github.com/d3/d3-scale#continuous_range -————————————————————————————————————- D3.js (also known as D3, short for Data-Driven Documents) is a JavaScript library for producing dynamic, interactive data visualizations in web browsers. It makes use of Scalable Vector Graphics (SVG), HTML5, and Cascading Style Sheets (CSS) standards.

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