Representations of Data Oskar thomas

A bit is the smallest unit available on a computer. 4 bits is a nibble, and 8 bits or 2 nibbles is a byte. Computers use binary to represent data because it is the simplest way to answer a question or show something.

Over time, our available storage capacity in computers has been increasing, the rate of increasing becoming more and more rapid over time.
Here can be seen the many different ways of interpreting numbers, the first column being binary and the second being denary.

The largest number able to be represented in 8 bits is 255. Trying to represent any number larger than this would result in an overflow error.

An easy method for converting from hex to binary to denary
ASCII (American Standard Code for Infromation Interchange) code was the first code written for keyboards in America, but it was only capable of 127 characters, using 7 bits for each character.
In every CPU instruction there is an operator and an operand, the picture in the background is a simplified representation of the two terms, but I will show how the CPU converts this into binary.

In images, binary is used to store each pixel's colour. This is easy in black and white images, as each pixel is either black or white (1 or 0). However, with more colour depth, more colours become available to use, at the cost of more space being used. The metadata (further information about the data) of an image can include the image size, colour depth, etc. The resolution of an image is how many pixels down and across the image, such as 1920x1080.

Current digital sound is broken down into many different audio samples per second in order to make the audio seem less choppy or broken. But depth is the number of bits available for each clip, while bite rate is the number of bits used per second.

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