prelims Flashcards

data vs. information (51 cards)

1
Q

raw,unprocessedfactsandfigures that
havenointrinsicmeaningorcontext.Itis the
fundamental inputinanyinformationmanagement
process.

A

data

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2
Q

characteristics of data

A

-lacks structure or meaning until organized
-can exist in various formats

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3
Q

processed, structured,or
organizeddatathatprovidescontext,relevance,
andmeaning,enablingdecision-makingor
understanding.

A

information

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4
Q

characteristics of information

A

-derived through analysis, interpretation and presentation
-provides context, making data actionable and useful

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5
Q

data(nature, context, purpose, example)

A

nature: raw facts and figures
context: no context
purpose: collected for potential use
example: 1, 2, 3

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6
Q

information(nature, purpose, context, example)

A

nature: processed and meaningful
context: contextual and structured
purpose: used for understanding and decisions
example: “sales increased by 50% last month”

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7
Q

types of data

A

-based on structure
-based on origin
-based on processing
-based on sensitivity
-based on format
-based on use
-based on storage and accessibility

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8
Q

Datathatisorganizedintoa
definedformat, suchas rowsand
columns,makingiteasytosearch
andanalyze.

A

structured data

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9
Q

examples of structured data

A

-databases
-spreadsheets
-ms excel

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10
Q

Datathatlacksapredefined
structure,makingitharderto
organizeandanalyze.

A

unstructured data

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11
Q

examples of unstructured data

A

-text documents
-images
-videos
-emails

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12
Q

Datathatdoesnotconformtoa
strict structurebut stillcontains
tagsormarkers fororganization.

A

semi structured data

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13
Q

example of semi structured data

A

-xml, json, yaml files
-log files

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14
Q

collected directly from the source for a specific purpose

A

primary data

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15
Q

examples of primary data

A

survey results, sensor data, interviews

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16
Q

data collected from existing sources, not directly by the user

A

secondary sources

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17
Q

examples of secondary sources

A

research papers, government reports, online datasets

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18
Q

data in its original, unprocessed form

A

raw data

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19
Q

examples of raw data

A

-output from sensors
-log from systems

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20
Q

data that has been cleaned, analyzed and organized for specific use

A

processed data

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21
Q

examples of processed data

A

-reports
-summaries
-dashboards

22
Q

data available to the general public without restrictions

23
Q

examples of public data

A

-open government data
-public research findings

24
Q

data meant to be confidential and restricted to specific individuals or groups

25
examples of private data
-financial records -personal emails
26
data that if exposed, can cause harm or breaches
sensitive data
27
examples of sensitive data
-social security numbers -health records
28
data stripped of identifiable information to protect privacy
anonymized data
29
example of anonymized data
aggregated demographic data
30
alphanumeric characters stored as plain text or documents
text data
31
examples of text data
-reports -notes -emails
32
data represented in numerical form
numerical data
33
examples of numerical data
-financial transactions -scientific measurements
34
data in non-text formats such as images, videos, and audio
multimedia data
35
examples of multimedia data
-photographs -mp3 files -youtube videos
36
data divided into categories or levels
categorical data
37
examples of categorical data
-gender -product types
38
data indexed by time, showing changes over a period
time-series data
39
example of time-series data
-stock price -weather patterns
40
data used for day to day operations of an organization
operational data
41
examples of operational data
-transaction records -inventory data
42
data used for analysis, decision making, and strategic planning
analytical data
43
examples of analytical data
-sales trends -customer behavior analytics
44
large and complex datasets that cannot be processed using traditional tools
big data
45
examples of big data
-social media activity -iot device logs
46
data that is processed and delivered immediately as it is generated
real time data
47
examples of real time data
-live stock market updates -online gaming stats
48
data stored for historical purposes and compliance
archived data
49
examples of archived data
old financial records, email archives
50
types of information by nature
-factual -subjective -objective -analytical
51
types of information based on format
-textual -numerical -visual -auditory