Chapter 8: Data

studied byStudied by 8 people
0.0(0)
Get a hint
Hint

lowest level

1 / 43

44 Terms

1

lowest level

Computers read machine code, which at the ________, is made up of 0s and 1s.

New cards
2

Current

________ "and "no ________ "are easy conditions to detect.

New cards
3

similar features

Classifying: Grouping data with ________ and values helps computers make sense of large datasets.

New cards
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.

New cards
5

Software tools

________ such as spreadsheets and databases can be used to filter, organize, and search the data.

New cards
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.

New cards
7

actual data

Changing, adding, or deleting metadata does not impact or change the ________ in any way.

New cards
8

Binary

is the number system used in computer science.

New cards
9

Abstraction

is a concept that is a little hard for many students to grasp.

New cards
10

Letters

In addition to the numbers we just reviewed, binary numbers can also represent ______ for text fields.

New cards
11

colors

Computer monitors work the same way and add differing amounts of red, green, and blue to create the colors that are displayed.

New cards
12

Note

Use leading 0s on the left to make a byte (8 bits)

New cards
13

Example 1

Convert 21 to binary

New cards
14

Answer

2110 = 000101012

New cards
15

Example 1

Convert 00011011 to decimal

New cards
16

If we simply had a binary number

00101001, we would not know what it represented

New cards
17

Data Compression

Lossless and Lossy

New cards
18

Cleaning

Computers "clean" data

New cards
19

Filtering

Computers filter data easily

New cards
20

Classifying

Grouping data with similar features and values helps computers make sense of large datasets

New cards
21

Bias

This can unintentionally be present in data

New cards
22

Patterns

The data analysis starts with a hypothesis or question to check

New cards
23

Machine Instructions

It could be a number, text, color, instruction, or other representation.

New cards
24

Overflow errors

occur in computers when the integer to be represented needs more bits than the programming language can represent.

New cards
25

fixed number

of bits are assigned to hold integers in many programming languages.

New cards
26

Rounding errors

occur because of the way numbers with decimal points are stored in the computer.

New cards
27

Analog data

is a continuous stream of data values.

New cards
28

Lossless compression

techniques allow the original image to be restored.

New cards
29

Lossy compression

techniques lose some data in the compression process.

New cards
30

Computers

enable us to process data to turn it into information for decision making and research.

New cards
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.

New cards
32

Cleaning

Computers "clean" data.

New cards
33

Data cleaning

can also change "dr." to "Drive" for consistency.

New cards
34

Filtering

Computers filter data easily.

New cards
35

Classifying

Grouping data with similar features and values helps computers make sense of large datasets.

New cards
36

Groupings

may use one or more criteria.

New cards
37

Bias

This can unintentionally be present in data.

New cards
38

Patterns

The data analysis starts with a hypothesis or question to check.

New cards
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.

New cards
40

correlation

may not mean one thing caused the other.

New cards
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.

New cards
42

Metadata

is data that describes data and can help others find the data and use it more effectively.

New cards
43

Charts, tables, and other graphics

help summarize data visually.

New cards
44

Search tools and filtering systems

are needed to help analyze the data and recognize patterns.

New cards

Explore top notes

note Note
studied byStudied by 11 people
... ago
5.0(1)
note Note
studied byStudied by 21 people
... ago
4.3(3)
note Note
studied byStudied by 62 people
... ago
4.7(3)
note Note
studied byStudied by 9 people
... ago
5.0(1)
note Note
studied byStudied by 8 people
... ago
5.0(1)
note Note
studied byStudied by 56 people
... ago
5.0(1)
note Note
studied byStudied by 9 people
... ago
5.0(1)
note Note
studied byStudied by 125977 people
... ago
4.8(565)

Explore top flashcards

flashcards Flashcard (23)
studied byStudied by 8 people
... ago
5.0(1)
flashcards Flashcard (48)
studied byStudied by 45 people
... ago
5.0(3)
flashcards Flashcard (54)
studied byStudied by 16 people
... ago
5.0(1)
flashcards Flashcard (76)
studied byStudied by 398 people
... ago
3.8(26)
flashcards Flashcard (20)
studied byStudied by 9 people
... ago
5.0(1)
flashcards Flashcard (35)
studied byStudied by 4 people
... ago
5.0(1)
flashcards Flashcard (122)
studied byStudied by 13 people
... ago
5.0(1)
flashcards Flashcard (53)
studied byStudied by 52 people
... ago
5.0(1)
robot