2.6 Data Representation

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Mind Map on 2.6 Data Representation, created by Jacob Thrower on 11/05/2017.
Jacob Thrower
Mind Map by Jacob Thrower, updated more than 1 year ago
Jacob Thrower
Created by Jacob Thrower over 7 years ago
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Resource summary

2.6 Data Representation
  1. Data Size
    1. Bit (b)
      1. The most basic unit of data in computers. It is either 1 (on) or off (0)
      2. Nibble
        1. Half a byte e.g. 1010
        2. Byte (B)
          1. 8 bits e.g. 01011100
          2. Kilobyte (KB)
            1. 1024 Bytes
            2. Megabyte (MB)
              1. 1024 Kilobytes
              2. Gigabyte (GB)
                1. 1024 Megabytes
                2. Terabyte (TB)
                  1. 1024 Gigabytes
                  2. Petabyte (PB)
                    1. 1024 Terabytes
                  3. Data Shifting
                    1. Left shift
                      1. Where all the bits move to the left. The remaining bits are filled with 0. This has the effect of multiplying by 2.
                      2. Binary shift
                        1. A fast method of multiplying and dividing a binary number by a power of 2. All bits are shifted to the left or right.
                        2. Right shift
                          1. Where all the bits move to the right. The remaining bits are filled with 1. This has the effect of dividing by 2.
                        3. Hexadecimal (Hex)
                          1. A way of representing a number using numbers from 0-9 and A-Z. This is called Base 16 notation because there are 16 possible numbers (0123456789ABCDE&F)
                            1. Hex character
                              1. A singular Hexadecimal character. E.g D3 is made up of the characters 'D' and '3'
                              1. Check digit
                                1. A digit added to the end of a string of numbers to check that data has been received correctly
                                2. Even parity bit
                                  1. This parity bit is added to make a binary string have an even number of 1s e.g. 1010001 needs another 1 added to make it even
                                  2. Odd parity bit
                                    1. This parity bit is added to make a binary string have an odd number of 1s 1010001 needs a 0 added because it already has odd number of 1s
                                  3. Bases
                                    1. Base 2
                                      1. A number system that uses 2 possible numbers (0&1)
                                      2. Base 10
                                        1. A number system that uses 10 possible numbers (012345678&9)
                                        2. Base 16
                                          1. A number system that uses 16 possible numbers (0123456789ABCDE&F)
                                        3. Character
                                          1. A singular letter, number or symbol. E.g 'A','a','7','!'
                                          2. Unicode
                                            1. Tries to cover every possible character that might be written. The most common forms are 16-bit (65,536) and 32-bit (4,294,967,296) versions. It covers Greek, Russian and Chinese too!
                                            2. Character set
                                              1. This refers to the amount of characters that a computer recognises.
                                              2. ASCII
                                                1. The most commonly used character set in the English speaking world. Each character is given a 7 bit binary code (therefore can only store 128 characters).
                                                2. Pixel
                                                  1. The squares that make up an image. The word stands for 'picture element'
                                                  2. Metadata
                                                    1. Means 'data about data'. This sounds confusing, but you could also think of it as 'properties' (e.g Resolution, Width, Height, Colour depth etc)
                                                    2. Colour depth
                                                      1. Refers to how many bits are used to store the colour of each pixel. E.g 2-bit colour depth gives 4 possible colours 00,01,10,11
                                                      2. Resolution
                                                        1. Refers to the density of pixels in an image (i.e how many pixels are within a certain area). It is measured in dots per inch (dpi)
                                                        2. Sample
                                                          1. Taking a snapshot of the wave at regular intervals (how many times this happens a second is called the sampling rate)
                                                          2. Sample size
                                                            1. Refers to how many bits can be used for each sample. 3 bits means that 8 possible 'levels' (voltages) can be represented. Of course, the more levels you have, the better the quality of the sound. The bit depth on CD is 16 bits. On DVD is 24 bits.
                                                            2. Bit rate
                                                              1. Refers to the number of bits used per second of audio. It's calculated using the formula Bit rate = Sampling frequency x Sample size
                                                              2. Sampling frequency
                                                                1. Refers to how many samples you take in a second. It's usually measured in kilohertz (kHz). A common frequency used in MP3s is 44.1 kHz (i.e 44,100 samples per second)
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