What are the different types of data used in context to AI project cycle?

The different types of data used in the AI project cycle are as follows:

1. Structured Data — Well-organised data found in databases or spreadsheets, arranged in rows and columns. Example: School's timetable.
2. Unstructured Data — Data that does not have a predefined format, such as written documents, pictures, audio recordings and videos. Example: Photos saved on phones.
3. Qualitative Data — Descriptive, non-numerical information collected through interviews, surveys or observations. Example: Sharing your favourite movie.
4. Quantitative Data — Numerical values and measurements that quantify characteristics or behaviour. Example: Height, weight or age.