Zusammenfassung der Ressource
Data Spider diagram
- 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
- 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.
- Characters (Any single
character) Data on some
programme languages, not
Python.
- ASCII
- Unicode (Character sets)
- 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)
- Sound (Analogue)
- Sampling frequency
- Resolution
- Bits per sample or bit depth
- Frequency x Bit Depth x Channels x Length = File Size
- Data Units
- Data
capacity,
Bit, Nibble,
Byte,
Kilobyte,
Megabyte,
Gigabyte,
Terabyte
- 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