Data Representation Keywords and Defintions
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Bit
I single piece of binary data 1 or 0
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Byte
8 Binary Bits .e.g 01101010
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Nibble
4 Binary Bits .e.g 1110
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ASCII
American Standard Code for Information Interchange. A simple number to letter translation table used by the first computer systems. Limited to roman characters, so no good for Chinese or Arabic letters
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Unicode
A modern System Text Representation. 16 or 32 bit allows millions of possible characters. Replace ASCII, but requires more storage space.
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Bitmap
A grid of squares used to make use an image. Originally single bits represented black or white, but modern color bitmaps allow 16.7 million colors
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Lossy Compression
A method of reducing an image or sound file size by reducing the overall quality of an image. Very small file sizes but image quality is slightly reduced.
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Lossless Compression
A method of reducing an image or sound file size without affecting the quality. Modest reduction in file size.
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Bit Depth
The number of bits used for each pixel. Higher bit depth equals higher quality but higher file size
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Hexadecimal
A base 16 number system used by programmers and designers. e.g. A4
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Denary
Computer science term for decimal numbers . e.g. 25
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Pixel
A single square in a grid of images. Bitmap images are made up of thousands or millions of pixels.
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Grayscale
The system for representing non-color images. Each pixel is usually one of 256 possible values between 0(black) and 255(white)
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Color Channel
All color pixels are created using a mixture of 3 different color channels - Red,Green,Blue
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RGB
Red Green Blue. Bitmap images are commonly stored with each pixel contains an RGB value, e.g. (255,0,255) would be magenta
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Kilobyte
A thousand Bytes
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Megabyte
A thousand Kilobytes or 1 million Bytes
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Gigabyte
A thousand megabytes or 1 billion Bytes
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Terabyte
A thousand gigabytes or 1 million Megabytes
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petabyte
A thousand terabytes
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Character-Set
A defined list of characters recognised by a computer system. Each character has a unique number allocated to it,
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Metadata
Data about an image stored in the image file itself. Includes. Camera Settings, GPS Location Data, Author Data, Creation Date
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Color Depth
The number of bits used to store one single pixel's worth of data. AKA Bit Depth. Most common bitmaps have a color depth of 24 bits.
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Resolution
The image size in pixels, width * height. E.g. 1020*768
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Sound Sampling
The process of recording and digitising sound waves
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Sampling Interval
The time between two samples
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Sample Size
How many bits used per sample. Higher sample sizes mean higher quality audio, but also higher file size
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Sampling Frequency
How often sound amplitude data is measured and stored by recording sound. Commonly 44KHz - 44,000 times per second
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