Computer Science
metadata
ip address
data
geolocation
program
content
privacy
concerns
privacy concerns
masss collection
visualization
charts
organizer
visualization of data
column
algorithms
predicting algorithms
information
cleaning data
users
extracted
lossless data compression
compression
lossy compression
digital data
roundoff errors
errors
computer
overflow errors
storage
language
binary
decimal
numbery systems
system
bits
analog data
analog signals
digital data
digital signal
varianle
value
abstractions
University/Undergrad
Bits
are grouped to represent abstractions.
Abstractions
find common features to generalize the program.
analog signal
has values that change smoothly over time, rather than in discrete intervals.
digital signal
is an analog signal that has been broken up into steps.
variable
is an abstraction inside a program that can hold a value.
value
can be a list or other collection that, in turn, contains multiple values.
overflow error
occurs when the result of a computation is too large for the available storage space.
roundoff error
occurs when decimals (real numbers) are rounded.
Data compression
is reducing the size (number of bits) of transmitted or stored data.
Digital data compression
often involves trade-offs in quality versus storage requirements.
Lossy compression
can significantly reduce the file size while decreasing resolution.
Lossless data compression
no data are lost.
Information
is the collection of facts and patterns extracted from data.
Cleaning data
is a process that makes the data uniform without changing their meaning.
Predicting algorithms
use information collected from big data to influence our daily lives.
Visualization
tools can communicate information about data.
Privacy concerns
arise through the mass collection of data
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.
Metadata
are data that describe your data