Data Spider diagram

Data Spider diagram

1. Binary

   • Unsigned Integers
     • Numbers that aren't negative
   • Sign magnitude
   • Two's compliment
     • Swap them, add 1.
   • Binary Arithmetic
     • Arithmetic shift. Move to the left it doubles, to the right it halves.
   • Overflow is where it shifts to the left and data is lost and it can miscalculate

2. Hex (Not designed for computers, used for people to read big numbers easily)

   • Conversion
   • Goes from 0 to F because each digit of Hex is representing 1 nibble.

3. Characters (Any single character) Data on some programme languages, not Python.

   • ASCII
   • Unicode (Character sets)

4. Images (Made up of Pixels)

   • Bit Depth (Colour Depth)
   • Resolution (A x B)
   • Calculating File Size
     • (Res A x Res B x Bit Depth) / 8(Bytes) x 1024(KB)

5. Sound (Analogue)

   • Sampling frequency
   • Resolution
     • Bits per sample or bit depth
   • Frequency x Bit Depth x Channels x Length = File Size

6. Data Units

   • Data capacity, Bit, Nibble, Byte, Kilobyte, Megabyte, Gigabyte, Terabyte

7. Compression

   • Lossy
     • Lossy compression is when you compress a file but lose detail
   • Lossless is the same as lossy but you don't lose quality

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