Data Types for Data Sciences

  • Structured versus unstructured data (sometimes called organized vs unorganized)
  • Quantitative and qualitative data
  • The four levels of data

Structured versus unstructured data

  • Structured (organized) data: This is data that can be thought of as observation and characteristics. It is usually organized using a table method (row and columns).
  • Unstructured (unorganized) data: This data exists as a free entity and does not follow any standard organization hierarchy.

Quantitative versus qualitative data

  • Quantitative data: This data can be described using numbers, and basic mathematical procedures, including addition, are possible on the set.
  • Qualitative data: This data can’t be described using the number and basic mathematics. This data is generally thought of as being described using natural categories and language.

The four levels of data

  • The nominal level
  • The ordinal level
  • The interval level
  • The ratio level

The nominal level

  • A type of animal is on the nominal level of data. We may also say that if you are a chimpanzee, then you belong to the mammalian class as well.
  • A part of speech is also considered on the nominal level of data. The word she is a pronoun, and it is also a noun.

The ordinal level

The interval level

The ratio level

Some Parting Words

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Desi Ratna Ningsih

Desi Ratna Ningsih

Data Science Enthusiast, Remote Worker, Course Trainer, Archery Coach, Psychology and Philosophy Student

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