Chapter 3: Data

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19 Terms

1
Bits
are grouped to represent abstractions. 
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Abstractions
find common features to generalize the program.
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3
analog signal
has values that change smoothly over time, rather than in discrete intervals.
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4
digital signal
is an analog signal that has been broken up into steps.
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5
variable
is an abstraction inside a program that can hold a value. 
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6
value
can be a list or other collection that, in turn, contains multiple values. 
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7
overflow error
occurs when the result of a computation is too large for the available storage space.
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8
roundoff error
occurs when decimals (real numbers) are rounded. 
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9
Data compression
is reducing the size (number of bits) of transmitted or stored data.
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10
Digital data compression
often involves trade-offs in quality versus storage requirements.
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11
Lossy compression
can significantly reduce the file size while decreasing resolution. 
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12
Lossless data compression
no data are lost. 
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13
Information
is the collection of facts and patterns extracted from data.
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14
Cleaning data
is a process that makes the data uniform without changing their meaning.
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15
Predicting algorithms
use information collected from big data to influence our daily lives.
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16
Visualization
tools can communicate information about data. 
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17
Privacy concerns
arise through the mass collection of data
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18
Geolocation
when used within a program, helps you find the approximate geographic location of an IP address along with some other useful information, including ISP, time zone, area code, state, and so on.
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19
Metadata
are data that describe your data
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