− | Qualitative data may be relatively subjectively defined, or are not numerical in nature. | + | Qualitative data are 'categorical' (or binary) data, and as such are often not expressed numerically. These types of data can be classified as '''nominal''' and '''ordinal''': |
| + | Nominal data include binary ('yes/no') and categorical data types, and are characterised by lacking any order between the different categories. As such, examples of nominal data are disease status (positive/negative), sex (male/female), breed and coat colour. As there is no numerical meaning to the data, nominal data are usually summarised with percentages or proportions. |