2.3.8

Data Structures - Records

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Records

Structured data refers to any data that resides in a fixed field within a record or file so that it can be easily entered, stored, queried, and analysed.

Records

Records

  • Records are made up of fields.
  • For example, a person could be represented as a record where the fields include their name, age, and address.
Comma separated values (CSV)

Comma separated values (CSV)

  • One method of storing a record is using comma separated values.
  • Each record is put on its own line.
  • Each field is separated by a special character such as a comma.
Pros and cons

Pros and cons

  • Pros:
    • Very simple, text-based format.
    • Can be read by many applications.
    • Easy to use in programs.
  • Cons:
    • Inefficient for large datasets.
    • Can only store text data.
    • No built-in means of sorting or searching.
Jump to other topics
1

Problem Solving

2

Programming

3

Data

4

Computers

5

Communication & The Internet

6

The Bigger Picture

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