Data Spider diagram

Binary
1. Unsigned Integers
  1. Numbers that aren't negative
2. Sign magnitude
3. Two's compliment
  1. Swap them, add 1.
4. Binary Arithmetic
  1. Arithmetic shift. Move to the left it doubles, to the right it halves.
5. Overflow is where it shifts to the left and data is lost and it can miscalculate
Hex (Not designed for computers, used for people to read big numbers easily)
1. Conversion
2. Goes from 0 to F because each digit of Hex is representing 1 nibble.
Characters (Any single character) Data on some programme languages, not Python.
1. ASCII
2. Unicode (Character sets)
Images (Made up of Pixels)
1. Bit Depth (Colour Depth)
2. Resolution (A x B)
3. Calculating File Size
  1. (Res A x Res B x Bit Depth) / 8(Bytes) x 1024(KB)
Sound (Analogue)
1. Sampling frequency
2. Resolution
  1. Bits per sample or bit depth
3. Frequency x Bit Depth x Channels x Length = File Size
Data Units
1. Data capacity, Bit, Nibble, Byte, Kilobyte, Megabyte, Gigabyte, Terabyte
Compression
1. Lossy
  1. Lossy compression is when you compress a file but lose detail
2. Lossless is the same as lossy but you don't lose quality

Resource summary

	Created by Luke Antrobus almost 8 years ago