Google Data Analytics #10_Data Formats

tpgk21·2022년 6월 27일

[Google] Data Analytics

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Data Formats

  • Discrete Data : data that is counted and has a limited number of values

  • Continuous Data : data that is measure and can have almost any numeric value

  • Nominal Data : a type of qualitative data that is categorized without a set order

    • in other word, data without any sequence
  • Ordinal Data : a type of qualitative data with a set order or scale

  • Internal Data : data that lives within a company's own systems

    • usually more reliable and easier to collect
  • External Data : data that lives and is generated outside of an organization

  • Structured Data : data organized in a certain format such as rows and columns

    • spreadsheets, relational database
  • Unstructured Data : data that is not organized in any easily identifiable manner

    • audio / video etc.
  • Data Model : a model that is used for organizing data elements and how they relate to one another

    • helps to keep data consistent and provide a map of how data is organized

    • Concetual Data Modeling : high-level view of the data structure, such as how data interacts across an organization (doesn not contain any technical details)

    • Logical Data Modeling : focuses on the technical details of a database such as relationships, attributes, and the entities (defining how individual records are uniquely idenitified in a database)

    • Physical Data Modeling : depicts how a database operates (defining all entities and attributes used, table, column, data types for the database)

  • Data Element : pieces of information, such as people's names, account numbers, and addresses

  • Fairness Issue : the lack of structure makes unstructed data difficult to search, manage, and analyze. However, the recent advancements in AI and ML algorithms are beiggining to change this

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