Digital and Analog are two primary forms of representing data or signals.
Analog signals possess continuous values, with smooth transitions in terms of time and magnitude. For instance, natural sounds, music, or human voices are examples of analog signals. Analog signals have an infinite number of possible values, capable of depicting continuous changes accurately.On the other hand, digital signals have discrete values and are represented in a binary format of 0s and 1s. Digital signals are derived from analog signals through a process of sampling and quantization. Digital signals, being represented in binary code, are easier to process in computers and digital systems. They’re less susceptible to noise, allowing for error detection and correction.

(While it’s typical for digital to be expressed as binaries of 0s and 1s, not every combination of 0 and 1 is digital. Digital refers to representing a continuous analog signal in discrete values. While these discrete values are typically represented as 0 and 1, other values can be used.)