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When working with statistical data, researchers need to get acquainted with the data types used—categorical and numerical data. The different data types are used in separate cases and require different statistical and visualization techniques.
Therefore, researchers need to understand the different data types and their analysis. This knowledge is what is used during the research process.
Numerical data as a case study is categorized into discrete and continuous data where continuous data are further grouped into interval and ratio data. These data type's are significantly used for statistical analysis or research purposes.
What is Numerical Data?
Numerical data is a data type expressed in numbers, rather than natural language description. Sometime's called quantitative data, numerical data is always collected in number form. Numerical data differentiates itself from other number form data type's with its ability to carry out arithmetic operations with these numbers.
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