What type of data is categorical?Numerical dataQualitative DataQuantitative dataRatio data25:45

Categorical data is a type of data that is used to categorize or label entities in a dataset into a certain number or range of classes or categories. It is also known as qualitative data.

Here is a step-by-step breakdown:

1. Numerical data: This is not categorical data. Numerical data is information that is something that is measurable. It is always collected in number form. It can be further divided into discrete data, continuous data, and ratio data.

2. Qualitative data: This is categorical data. Qualitative data is information about qualities; information that can't actually be measured. It is often contrasted with quantitative data. In this case, qualitative data is the categorical data.

3. Quantitative data: This is not categorical data. Quantitative data is information about quantities; that is, information that can be measured and written down with numbers.

4. Ratio data: This is not categorical data. Ratio data is a type of quantitative data that not only categorizes variables but also ranks them, and ensures that there is equal spacing between the variables.

5. 25:45: This is not categorical data. This appears to be a ratio or a specific time, both of which are numerical data, not categorical.

So, the answer to your question is Qualitative Data.