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Flashcards in this deck (27)

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  • What are the two main types of data?


    • Quantitative Data
    • Qualitative Data
    data types
  • What is quantitative data?


    Numerical data that can be measured and compared. Examples: age, height, weight.

    data quantitative
  • What is qualitative data?


    Descriptive data that cannot be measured. Examples: opinions, emotions, perceptions.

    data qualitative
  • What is the difference between primary and secondary data?


    • Primary Data: Collected by the researcher.
    • Secondary Data: Obtained from existing sources.
    data sources
  • What are the four criteria for data quality?


    • Relevance
    • Accuracy
    • Validity
    • Reliability
    data quality
  • What does relevance refer to in data quality?


    The extent to which the data is related to the research question.

    data quality
  • What does accuracy refer to in data quality?


    The degree to which the data reflects true values of the variables.

    data quality
  • What does validity refer to in data quality?


    The degree to which the data measures what it is supposed to measure.

    data quality
  • What does reliability refer to in data quality?


    The consistency of the data over time and across different sources.

    data quality
  • What are the two methods of data collection?


    • Active Data Collection
    • Passive Data Collection
    data collection
  • What is an example of manual active data collection?


    Surveys, interviews, and focus groups.

    data collection
  • What is an example of computerised passive data collection?


    Web analytics and tracking devices like GPS.

    data collection
  • What are some errors that can affect data accuracy?


    Errors can arise in collection, entry, or processing.

    data errors
  • What does uncertainty refer to in data?


    A lack of precision or ambiguity in the data.

    data uncertainty
  • What are limitations in data?


    Inherent constraints like sample size, coverage, or representativeness.

    data limitations
  • What is informatics?


    The study of the processing and management of information.

    informatics data
  • What is the purpose of data visualisation?


    To interpret and present data effectively using tools like graphs, infographics, and maps.

    data visualisation
  • What is structured data?


    Data organized into a specific format, such as tables or spreadsheets.

    data structured
  • What is an example of unstructured data?


    Text, images, or audio files.

    data unstructured
  • What is alternative data?


    Data forms like likes, emoticons, and memes used for feedback.

    data alternative
  • What is blockchain technology?


    A distributed ledger for secure, transparent data management and verification.

    technology blockchain
  • What does each block in a blockchain contain?


    Verified transactions that enhance data security.

    blockchain data
  • What is the impact of public Wi-Fi on data security?


    Public networks are generally unsecured and pose risks.

    security data
  • What are the three Vs of big data?


    Volume, Variety, and Velocity.

    big_data data
  • What does data warehousing involve?


    Centralizing and storing large amounts of data.

    data warehousing
  • What is velocity in data management?


    The speed at which the data is generated and the need to process it in real time.

    data velocity
  • What is data warehousing?


    A process of centralizing and storing large amounts of data.

    data warehousing