Data Types in Machine Learning

Different data types in ML.

Interval Data

This is numerical data which has proper order and the exact zero.

Temperature, time, credit score, pH… (zero value exists)

Ratio Data

This data is numerical and has the absolute zero.

Height, weight… (zero value means complete absence)

Quantitative Data (Numerical)

Data that consists of numerical values. This data is measured by numbers.

height, weight, temperature, No. of cars…

Discrete Data (离散数据)

Tickets, people, defects

Continuous Data (连续数据)

Temperature, Weight, Time…

Qualitative Data (Categorical)

Data that can’t be expressed by number. This data describes categories or groups.

Also known as ‘Categorical data type’.

Nominal Data (名义数据)

This data is used to express names or labels which are not order or measurable.

Male or Female, cities, countries…

Ordinal Data (序数数据)

This data has some natural ordering.

Rating scale (Good-Average-Poor), Shirt sizes, Ranks…

Structured Data

Contains either numbers or words. This data is expressed in tabular format.

Unstructured Data

This data doesn’t have a proper format.

Images, video/audio files, emails, text files and documents…