Statistics interview question: What is the difference between grouped and ungrouped data?
You never know what kind of questions you will be asked in a data science interview, but it is important to have a solid grounding of statistical concepts because this field forms the background of data science.
One question that can come up is to explain the difference between ungrouped and grouped data and how it fits into data science.
Ungrouped data
Ungrouped data is a type of data that has not been grouped into any categories. It is a collection of observations or measurements without any structure or organisation. It is often used as a starting point for statistical analysis, where it is grouped and organised into meaningful categories in order to draw inferences and make meaningful conclusions.
The advantages of using ungrouped data include:-
- It is easy to understand and interpret because it is presented in its original form.
- It allows for more flexibility of the type of statistical analysis that can be performed.
- No information is lost.
- It provides more accurate results because it eliminates the potential for errors.
