Exam Prep: Data (Big idea 2)

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44 Terms

1
lowest level
Computers read machine code, which at the ________, is made up of 0s and 1s.
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2
Current
________ "and "no ________ "are easy conditions to detect.
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3
similar features
Classifying: Grouping data with ________ and values helps computers make sense of large datasets.
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4
attendees
Data collected from all types of events- such as visits, searches, inquiries, orders, returns, temperatures, scores, ________, acres planted, acres harvested, fish, birds, photos, videos, and audio files- are considered to be raw data.
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5
Software tools
________ such as spreadsheets and databases can be used to filter, organize, and search the data.
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6
software program
The ________ takes in the binary value and interprets it as a color, text value, or number, based on what the program is expecting.
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7
actual data
Changing, adding, or deleting metadata does not impact or change the ________ in any way.
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8
Binary
is the number system used in computer science.
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9
Abstraction
is a concept that is a little hard for many students to grasp.
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10
**Letters**
In addition to the numbers we just reviewed, binary numbers can also represent ______ for text fields.
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11
colors
Computer monitors work the same way and add differing amounts of red, green, and blue to create the colors that are displayed.
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12
Note
Use leading 0s on the left to make a byte (8 bits)
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13
Example 1
Convert 21 to binary
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Answer
2110 = 000101012
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15
Example 1
Convert 00011011 to decimal
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16
If we simply had a binary number
00101001, we would not know what it represented
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17
Data Compression
Lossless and Lossy
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18
Cleaning
Computers "clean" data
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19
Filtering
Computers filter data easily
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20
Classifying
Grouping data with similar features and values helps computers make sense of large datasets
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21
Bias
This can unintentionally be present in data
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22
Patterns
The data analysis starts with a hypothesis or question to check
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23
**Machine Instructions**
It could be a number, text, color, instruction, or other representation.
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24
Overflow errors
occur in computers when the integer to be represented needs more bits than the programming language can represent.
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25
fixed number
of bits are assigned to hold integers in many programming languages.
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26
Rounding errors
occur because of the way numbers with decimal points are stored in the computer.
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27
Analog data
is a continuous stream of data values.
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28
Lossless compression
techniques allow the original image to be restored.
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29
Lossy compression
techniques lose some data in the compression process.
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30
Computers
enable us to process data to turn it into information for decision making and research.
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31
Data
collected from all types of events—such as visits, searches, inquiries, orders, returns, temperatures, scores, attendees, acres planted, acres harvested, fish, birds, photos, videos, and audio files—are considered to be raw data.
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32
**Cleaning**
Computers "clean" data.
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33
Data cleaning
can also change "dr." to "Drive" for consistency.
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34
**Filtering**
Computers filter data easily.
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35
**Classifying**
Grouping data with similar features and values helps computers make sense of large datasets.
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36
Groupings
may use one or more criteria.
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37
**Bias**
This can unintentionally be present in data.
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38
**Patterns**
The data analysis starts with a hypothesis or question to check.
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39
data mining
Computers are able to identify patterns in data that people are either unable to recognize or cannot process enough data to see the pattern.
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40
correlation
may not mean one thing caused the other.
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41
Scalability
is the ability to increase the capacity of a resource without having to go to a completely new solution, and for that resource to continue to operate at acceptable levels when the increased capacity is being added.
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42
Metadata
is data that describes data and can help others find the data and use it more effectively.
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43
Charts, tables, and other graphics
help summarize data visually.
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44
Search tools and filtering systems
are needed to help analyze the data and recognize patterns.
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