What is the difference between Grouped Data and Ungrouped Data?

Ungrouped data is also referred to as raw data. When you conduct research or experiment, the uncategorized information you have at first is termed ungrouped data. This is the data you first gather. Ungrouped data is accessible for many people to understand.

Also, if the sample size of the group is small, it can be easy to calculate mean, mode, and median from ungrouped data. A grouped data is simply data that has been organized into categories or groups. Grouped data can be classified into groups and tables or chart can be created to represent the data. Histograms and frequency tables are often used to represent and interpret grouped data.

These are the two available types of data that can be found right now. They are both useful and valuable to researchers. However, the main difference between the two is that grouped data is already grouped into different categories, while ungrouped data is still raw data. It has not been placed in different categories yet.

An example of an ungrouped data is the data that you will get from survey sheets. These are real data but have not been categorized yet by number. Hence, they are useful to a certain extent, but they may not provide the type of information that you need until they become grouped.