What is raw data in statistics? After data is collected from members of a sample or population, the information is recorded in the order in which it was presented.
Such data is called Raw data. If the information collected has only numeric values, the raw data is called quantitative raw data.
If the information collected has only non-numeric values, the raw data is called qualitative raw data or ungrouped data.
Suppose you want to study the number of smartphones per family. For example, let’s say you select a sample of 50 families to do your research.
Suppose you randomly call 50 families across the country, ask them how many smartphones they have, and record the information in the order in which it was given to you.
The above is an example of raw quantitative data from this situation. The way you see the information in the table is the way you wrote it on a piece of paper.
Suppose that in your study you focus not on the number of smartphones, but on the type of smartphone.
The smartphone type can include Iphone, Android, Windows Phone, and Amazon Fire Phone.
To simplify things here, we’re going to use I for Iphone, A for Android, W for Windows Phone, and F for Amazon Fire Phone.
The procedure could be to call people, ask them what type of smartphone they are wearing, and write down on paper what they tell you.
After interviewing 40 people, you could get the following raw qualitative data. The following table shows the data for 40 elements.