Types of Data §
- Qualitative Data: Data derived from words, images, audio
- Needs to be structured to be analyzed
- Quantitative Data
- Nominal Data: data which only have names and no ordering value of higher or lower
- Ordinal Data: data which is rankable and comparable to other values
- Interval Data: data that changes at a consistent interval value (temperature, 10-point scale)
- Numerical/Ratio Data: Decimal values such as scores, salary, price…
- Why is it necessary to understand different types of data?
- different types of data requires different methods of analysis
- Correlations can be made between any two types of variables of the same data
- Nominal data cannot be used to compare to any other data in hierarchical order
Data Model §
- Rules of how data is captured to be consistent requires data to be collected using a specific sets of labeled Meta-Data.
