Data Analysis Flashcards

1
Q

What is data and information?

A

Distinct bits of information
Output of data processing

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2
Q

What are the types of data?

A

Quantitative
Qualitative
Discrete

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3
Q

What are the internal data sources (dark data)?

A

Transactions
Communication
Accounting records
Human resources
Machine logs
Procurement data
Timesheets

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4
Q

What are the external data sources (big data)?

A

New legislation
Market research
R&D
Companies house

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5
Q

What are the qualities of good information?

A

Accurate
Complete
Cost beneficial
User targeted
Relevant
Authoritative
Timely
Easy to use

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6
Q

What are the 4 analysis methods?

A

Descriptive stats
Inferential stats
Exploratory data analysis
Confirmatory data analysis

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7
Q

What are the 3 sampling methods?

A

Simple random
Systematic
Stratified

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8
Q

What are the sum, average and countif excel formulae?

A

=SUM(A1:A10)
=AVERAGE(A1:A10)
=COUNTIF(A1:A10, B1)

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9
Q

What are the 7 types of data bias?

A

Selection bias
Self-selection bias
Observer bias
Omitted variable bias
Cognitive bias
Confirmation bias
Survivorship bias

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10
Q

What are type 1 and 2 errors?

A

Type 1 - null hypothesis true, sample biased - reject
Type 2 - null hypothesis false, sample supports - accept

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11
Q

What are the 4 V characteristics of big data?

A

Volume
Velocity
Variety
Veracity

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12
Q

What is structured data?

A

Created data
Provoked data
Transacted data
Complied data
All for particular purpose

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13
Q

What is unstructured data?

A

Captured data
User-generated data

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14
Q

What are the sources of big data?

A

Processed data
Open data
Human-sourced data
Machine-generated data

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15
Q

What are the types of data analytics?

A

Descriptive
Diagnostic
Predictive
Prescriptive

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16
Q

What are the ways if protecting intellectual property?

A

Patent
Copyright
Design right
Trademark
Registered design

17
Q

What are data ethics?

A

Transparency
Fairness
Privacy
Ownership of data
Consent
Open data